Data Management

Data Silos Suck. Here’s How to Break Them Down.

Teresa Wingfield

December 1, 2022

Business person writing on a virtual whiteboard with data silos

Data management issues are common among businesses today. These issues have had a direct negative impact on marketing departments, with over 60% of CMOs agreeing that gaps in marketing data and analytics (D&A) and marketing technology are hindering strategic growth strategies. Data and systems stored in silos represent a huge problem for data managers, who are unable to access critical data that they need to deliver a great customer experience (CX). At a time when customers are more likely than ever to try a new brand after a bad buying experience, ensuring that data is freely accessible to those who need it is mission-critical for businesses to drive revenue.

Let’s take a look at the problems faced with siloed data, how to break these silos down, and explore the benefits of a fully connected data enterprise.

The Problems in the Silo

To understand the problems with data silo challenges, it helps to understand what a data silo is. A data silo is any independent repository of data within an organization. A key characteristic of a data silo is that only a small group of people can access it. This can occur when independent business units, with their own objectives and IT budgets, maintain different versions of data. For example, sales may keep its data on customer buying trends separate from the customer service team’s customer data which includes messages, feedback, and returns.

This fragmentation leads to duplicate data, data integration issues, and, more importantly, has negative impacts on the broader organization. Data silos slow down productivity, hinder business agility, and frequently paint incorrect pictures of customers, leading to a poor CX. Also, IT teams often hoard data and create silos to receive a greater share of the IT budget.

Businesses need a plan to assess where data silos exist and how to knock them down. This takes thorough analysis, cultural change, and an infrastructure for data management that can support enterprise needs.

Break Down Data Silos

The first step for any business to break down silos is to take a holistic look at its culture. Without interdepartmental collaboration and cooperation across the business, there won’t be the opportunity to share data for analysis. Only in a unified setting can a data silo truly be broken down.

Businesses must establish a company-wide data model that all relevant stakeholders in the organization can easily access and use. A standard model helps inform businesses on next steps and analyze customers, whereas a lack of standardization (including data-usage policies, processes, and controls) can lead to a patchwork of datasets used in disparate ways.

Once a company establishes standards and builds a collaborative culture, businesses should implement a data platform solution that can scale and grow with the organization.

Benefits of Effective Data Platform Solutions

When data is trapped in spreadsheets, databases, data warehouses and applications, it can be nearly impossible for IT to prepare for future growth and innovation, making it even harder to spin up new projects. An effective data management platform must be able to break down silos and unlock the full potential of data for analytics, reporting, automation, and developing mission-critical insights.

The Actian Data Platform allows businesses to unify disparate data for business decision-making to drive efficiency and growth. The Actian platform includes data integration to extract data from multiple data sources. From there, the Actian platform combines that data to give users a single pane view for insights and analysis.

Break free of siloed, stale, and incomplete data, routine reporting and harness real-time data and analytics to fuel faster innovation, scale your processes, and shift direction on a dime. Silos suck, but together with Actian, you can unify siloed data and get more value from your data.

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About Teresa Wingfield

Teresa Wingfield is Director of Product Marketing at Actian, driving awareness of the Actian Data Platform's integration, management, and analytics capabilities. She brings 20+ years in analytics, security, and cloud solutions marketing at industry leaders such as Cisco, McAfee, and VMware. Teresa focuses on helping customers achieve new levels of innovation and revenue with data. On the Actian blog, Teresa highlights the value of analytics-driven solutions in multiple verticals. Check her posts for real-world transformation stories.
Actian Life

What Makes an Innovative IT Leader? These Are the Top Skills to Hone

Steve Padgett

November 28, 2022

Team chatting, reinforcing their listening and communication skills in a world of digital transformation

Technology leaders face a plethora of new challenges as they attempt to deliver novel solutions and adapt to change more quickly. Obstacles include budget cuts due to inflation, technical skills shortages, and repercussions from rushing recent technology adoption, which can lead to security gaps, compatibility issues, poor performance, and much more. However, IT leaders also find themselves in a unique position to meet business goals and drive value upstream through digital transformation and technology innovation.

IT leaders require a diverse skillset and background to fuel innovative thinking and solve complex business issues. For them, innovation is an inward process that begins with leaders with an innate ability to apply strategic and creative thinking.

There are many leadership qualities that help fuel innovation. The most effective leaders foster collaboration and a bias for action within their teams. They motivate employees to perform their best, encourage exploration of cutting-edge technology and help the organization continuously innovate, and evolve by introducing the necessary mechanisms to make that possible. To succeed, IT leaders need a combination of hard and soft skills – namely, technological and business management skills, the comfort of navigating ambiguity, along with strong communication and problem-solving abilities.

Start With a Foundation of Business and Technology Knowledge

CIOs and other IT leaders have moved away from being technology gatekeepers who enforce rules, and IT is no longer a one-stop shop for technology. Considering that technological advancements and innovation are crucial to a modern business’s strategic goals, IT leaders are becoming trusted advisors to executive leadership.

The changing role of IT leadership comes as no surprise given the rapid technological advancements in the past few years. Innovation and business goals are now inseparable. To bring an organization’s ideal technology vision to life, IT leaders must acquire a skillset that spans business management and technical insight. Background in only one or the other will not offer enough varied expertise to be an effective leader.

If you’re looking for executive leadership training, keep an eye out for university courses and programs, coaching workshops, online certification courses, and company training opportunities that will help you develop skills across technology and business.

Typically, the pathway to becoming a CIO begins on either the technology or business side, with most people adopting the other side, sometimes over the course of their careers. I started on the technology side, studying computer science, while an undergraduate, and then immediately earned a MBA to supplement that knowledge. I used formal education early on to develop both sides, and then made a point to grow those skills throughout my career, combining my technical knowledge with the business side through marketing and sales positions.

Perhaps you’ve focused on one side of the skillset spectrum for years and are hoping to develop abilities on the other side. Fortunately, it’s never too late to further your education. Start looking into options for an advanced degree or other certification that will allow you to round out your experience and map toward a leadership position.

Develop Your Soft Skills Through Listening and Communicating Well

Generally speaking, it’s common to find two “types” of individuals within the IT department: introverts who are excellent listeners, and extroverts, who are gifted in teaching and communicating. Both are highly valuable, and IT leaders need to develop abilities on both sides. If an IT professional embodies a combination of these traits altogether, that leader then becomes that much more valuable to any business.

The loudest or most talkative person in the room does not make a great leader. The leader can often be the opposite of this. The ability to clearly express ideas is important, but leaders should also be thoughtful listeners. Don’t listen just to perform the act of listening. Leaders listen to learn, understand, and hear what is really being communicated. You can absorb more and learn a great deal from colleagues and experts when you keep an open ear and mind. Listening well allows you to uncover important information that will later fuel innovation and drive decision-making.

Listening to team members and encouraging their ideas shows that you value their opinions, allowing you to better support your staff and be a more dependable manager. Gaining a reputation as a good listener will also help encourage shy or nervous employees to speak up and share their ideas without you prompting them. This helps your staff grow personally while also allowing them to contribute to the overall success of the business.

The perfect complementary skill to listening is the ability to clearly communicate with others. Communication might not always be the first skill that comes to mind when thinking of IT management, but it is crucial when it comes to great leadership.

For example, recruiters and managers filling IT leadership positions should take note if candidates are sharing their knowledge. While interviewing a candidate, seek out displays of thought leadership and entrepreneurial thinking. A candidate might share blog posts highlighting their expertise on LinkedIn, a personal website, or an online column. Others may prefer participating in webinars, seminars, or company videos. Anything that displays proactive thought leadership and offers valuable lessons to readers or viewers speaks volumes about one’s credibility as a teacher and studied expert.

Leaders who can effectively communicate and share their knowledge are essential, as they are the most qualified to build up strong employees and encourage them in their career journeys. The best mentors know how to effectively communicate to create opportunities to advance employee skillsets, build stronger teams, and improve workplace relationships.

Matching technical and business management skills with the softer skills of listening and communicating well puts IT leaders on the best path to success and equips them with the ability to bring innovation to their businesses. Continuing to implement and grow these skillsets will allow you to advance in your career while encouraging employee growth and meeting your organization’s long-term goals.

Develop Your Skills at Actian

Interested in learning more about how you can further your career in technology? Visit our Careers webpage to view current open positions and discover more about our employee-first community values.

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About Steve Padgett

Steve Padgett is Chief Information Officer for Actian, overseeing IT, Facilities, and Cloud Operations globally. He brings 30+ years of IT leadership, including past CIO roles at Pervasive Software, Supportkids, and Tivoli. Steve has implemented large-scale, secure infrastructures and drives continuous improvement in enterprise systems. His blog posts at Actian focus on cloud management, operational efficiency, and IT strategy. Read them for insights on modernizing organizational infrastructure.
Data Intelligence

How to Liberalize Data Access – Check out BARC’s Data Culture Survey 23

Actian Corporation

November 28, 2022

How To Liberalize Data Access And Enpower Data User Feature Image

“Data culture eats data strategy for breakfast” is a powerful saying among data & analytics managers that underlines the importance of aligning data strategy & organizational culture for operational success. Indeed, data culture is a people matter. Data becomes a high-value asset when it is shared and available to everyone in an organization.

In last year’s BARC Data Culture Survey 22, “data access” was selected as the most relevant aspect of BARC’s ‘Data Culture Framework’. Therefore, this year, BARC examined the current status, experiences, and plans of companies concerning their efforts to create a positive data culture with a special emphasis on ‘data access’. In this article, discover the 8 key findings of BARC’s Data Culture Survey 23.

Management Survey: 8 Data Culture Findings in Data-Driven Companies

1. Decisions are Made Based on a Mixture of Data and Gut Feeling

Following an increase in 2021, the proportion of companies making primarily data-driven decisions has remained stable this year with 50 percent stating that they generally base their decisions on a combination of data and gut feeling.

2. Data Knowledge is Essential to Data and Analytics

Almost three-quarters of respondents state that they have recognized the need to invest in ways to access, link, and understand metadata. However, some of the tools used are not very widespread yet.

3. Data Culture is Beneficial

Almost half of the companies surveyed count improved decision-making among the goals they have achieved, and more than a third have achieved continuous process improvements and cost reductions through the use of data. However, expectations are much higher and more diverse.

4. Data Literacy, Leadership, and Communication Need a Boost

According to survey participants, data leadership, data communication, and data literacy initiatives have only been launched by around 20 percent. The CxO perspective is quite different: 81 percent of CxOs claim that data literacy is already in place or planned, and 78 percent say the same for data communication.

5. Companies Seem to Focus on the Wrong Actions

The biggest reported obstacles to implementing a data culture are a lack of resources, a lack of knowledge, a lack of roles and responsibilities, and inadequate communication – but it is precisely these obstacles that are the least frequently addressed in concrete initiatives.

6. Most Companies Believe in the ‘Right to Know’ Approach

Companies today still predominantly follow the ‘need to know’ principle, which means data access is only granted on request. 59 percent of respondents see greater advantages in the more liberal ‘right to know’ approach.

7. The Conditions for the Democratization of Data Access are not yet in Place

The biggest challenges to liberalizing data access are a lack of data knowledge on the part of users and enabling simple access methods. Many of the conditions for better data access must therefore be created first.

8. True Data-Driven Companies Rely on Modern Concepts, Technologies, and Metadata

Best-in-class companies use technologies and concepts beyond ‘classic’ business intelligence tools. These include tools for metadata management (e.g., data catalogs, data intelligence platforms), tools for data virtualization, organizational concepts (e.g., data mesh), and architectural concepts and principles such as data fabric.

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About Actian Corporation

Actian empowers enterprises to confidently manage and govern data at scale. Actian data intelligence solutions help streamline complex data environments and accelerate the delivery of AI-ready data. Designed to be flexible, Actian solutions integrate seamlessly and perform reliably across on-premises, cloud, and hybrid environments. Learn more about Actian, the data division of HCLSoftware, at actian.com.
Actian Life

Actian Top Workplace of 2022 by the Austin American-Statesman

Rae Coffman-Bueb

November 25, 2022

Panoramic image of the city of Austin, which recognized Actian as one of the Top Workplaces 2022

We’re thrilled to share that Actian has been recognized as a Top Workplace of 2022 by the Austin American-Statesman for the third year in a row! The Austin American-Statesman’s Top Workplaces of Greater Austin project recognizes the best places to work in the Austin metro area, based solely on employee feedback. The program considers 15 culture-drivers that are critical to the success of any organization, including factors such as alignment, execution, and connection.

At Actian, we strive to develop a workplace that fosters innovation and allows our dynamic team to thrive on creating technology for the next generation. “Employee-first” is the way we do business, and we place a huge emphasis on our people and culture. We want each employee to have the opportunity to show up as their authentic self, enabling them to do their very best work by offering a warm, welcoming, and friendly environment. It’s our goal to ensure our employees know that they always matter and that they understand the critical part they each play in making our customers and our company successful.

We do this by following several core values:

  • Innovation: We believe in innovation broadly across all functions. We are committed to being on the cutting edge of technology by ambitiously looking for opportunities to improve by expanding our patent portfolio, refining our approach, continuing to innovate and enhancing the products and services we offer our customers.
  • Teaming to Win: We are comprised of experienced, talented people who believe in the power of our team. We are devoted to leveraging the power of diverse, individual perspectives and new ideas with respectful discussion and debate, treating all with dignity and respect.
  • Customer Focus: We recognize that customers depend on us to conduct their business. Most have been with us for many years. We work collaboratively with our customers and prospects to deliver reliable, performant products that bring substantial value.
  • Decisive Action: We are bold and decisive in our actions. We make prudent, thoughtful decisions and act with clear intent and strong business judgment. We approach challenges directly, confidently, and collaboratively, without hubris or arrogance.
  • Candid Communications: We communicate to our investors, customers, partners, and internal teams openly and honestly. We impart accurate information, act with sincerity, building trust and establishing mutual respect.
  • Integrity: We are committed to working ethically and with complete integrity in all that we do and place trust in our people to act accordingly. We mean what we say and deliver on our commitments.

In addition to being named a Top Workplace, Actian has been honored with several Culture Excellence Awards, given to showcase strong values of companies that rank in the top 25% of surveyed organizations. This year, Actian has received Culture Excellence Awards in the categories of Innovation, Work-Life Flexibility, Compensation and Benefits, Leadership, Employee Appreciation, Employee Well-being and Professional Development.

We are truly honored to be recognized by our employees and would like to share our sincerest gratitude to everyone who voted!

Careers at Actian

Are you looking to join a rapidly growing company that values its employees and is transforming data management and integration? Join our team of innovative, enthusiastic employees to grow in a collaborative and welcoming environment.

Find out more about current career opportunities at: https://www.actian.com/company/careers/. Ready to apply? Click here.

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About Rae Coffman-Bueb

Rae Coffman-Bueb is Director of Employee Experience at Actian, dedicated to enhancing organizational culture. With a background in People Operations, Rae has implemented global best practices that empower teams and streamline HR processes. She provides guidance on talent development, onboarding, and cross-functional collaboration. Rae's blog posts focus on employee engagement, internal communications, and HR innovations. Check them out for tips on boosting workplace satisfaction.
Actian Life

Telling a Great Data Story

Teresa Wingfield

November 23, 2022

people chatting in an office about data analytics and how to tell a great data story

What is a Data Story?

A story is a narrative, either true or fictitious, in prose or verse, designed to interest, amuse, or instruct the listener or reader. A data story can be like any story, but its narrative is focused on data insights designed to teach and motivate an audience to act.

Why Do You Need a Data Story?

In the world of data analytics, soft skills such as leadership and effective communication are just as important as hard technical skills. This is particularly true now that there’s increasing pressure to connect business value with cost in today’s economically challenged markets. Calculating the Return on Investment (ROI) for your data platform is very hard, and few can do this successfully. Thus, a data story gives you an easier way to communicate business value.

How Do You Tell a Great Data Story?

There are many things to keep in mind when creating a compelling data story. Here are my four recommendations to help you begin your data story development:

Tell the Right Data Story

A good data story includes something that is relevant or significant to your audience. The context of how data helps them do their jobs better is important. Data engineers might want more robust data pipelines and faster performance. Data scientists are most often concerned about having the right data, algorithms and data quality. Frontline workers have needs that vary across their business specialties. For example, a marketing user might want to be able to adjust a campaign more quickly with real-time insights into demand while a financial analyst might want to develop a better revenue forecast based on this same information.

Make Your Data Story Interesting

No one wants to hear the same old story. Creating a good data story means revealing something that will capture the interest of your audience. Sometimes it would inspire them to take action based on the message they are hearing. What are the ways that your data story can help uncover a new opportunity or provide a fresh insight into how to solve a challenge? Think about the stories that have stood out to you. Were there any that inspired you to think about things differently? To research and learn more about something? To do something? When possible, include how data insights from real-time analytics can help improve specific metrics or meet goals that your audience is responsible for.

Show and Tell

Just sharing the story isn’t enough. How can you present your data story in a way that engages your audience in a way that they can take something away with them? There’s a saying: a picture is worth a thousand words. This rings true when you are trying to convey an idea quickly and effectively. So be sure to use the visualizations that are available in your data analytics tool in conjunction with your own representations.

Plan for a Sequel

Like an enduring story that we remember for a long time – we sometimes anticipate what’s going to happen next. The data story shouldn’t just end after your presentation. You need the data story to continue by highlighting what actions you want your audience to take after hearing it. You can suggest ways to turn insights into action, or better yet, ask your audience about their ideas and follow up after your meeting to gauge the impact your data story has had on the business.

How Can I Strengthen My Data Story?

The best data stories are built around real-time data analytics. Improve your data story with the Actian Data Platform with real-time insights in a single solution for data integration, data management and data analytics.

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About Teresa Wingfield

Teresa Wingfield is Director of Product Marketing at Actian, driving awareness of the Actian Data Platform's integration, management, and analytics capabilities. She brings 20+ years in analytics, security, and cloud solutions marketing at industry leaders such as Cisco, McAfee, and VMware. Teresa focuses on helping customers achieve new levels of innovation and revenue with data. On the Actian blog, Teresa highlights the value of analytics-driven solutions in multiple verticals. Check her posts for real-world transformation stories.
Data Management

Boosting CX Through IoT and Edge Computing

Traci Curran

November 21, 2022

hands holding a cellphone that exemplifies the relationship between customer experience and managing data in the cloud

While not a new concept, edge computing is gaining steam, with more businesses embracing this technology at a breakneck pace. A recent Gartner report found that in 2022 alone, enterprises will create and process over 50% of the data they generate at the edge, outside the traditional data center or cloud infrastructure. This number will only continue to climb over the next few years.

With a surge in edge computing comes a revolution in the way businesses collect, process and store data. This revolution will open new doors to improvements in customer experience (CX) and transform the way businesses and customers interact in the future.

Working at the edge will introduce new challenges for businesses, especially as the devices that operate at the edge continue to grow in scale and complexity. Common issues include security concerns and understanding how to use edge data to connect with users in a non-intrusive way.

Edge Computing 101

To effectively drive business results through edge computing, we first need to conceptually understand what it is and how it fits into an enterprise. Edge computing refers to the distributed framework that seeks to put applications as close to data sources as possible. These sources can include internet of things (IoT) devices such as smart watches, robotics, warehouse sensors, and more.

The benefit for businesses leveraging edge computing is that they can process data near devices that generate data. Businesses can process locally generated data faster to get real-time insights and that helps them react quickly to changing conditions. The edge promises to deliver a more immersive and interactive CX. The amount of data these devices generate can be massive. Edge computing analytics allow businesses to sift through high volumes of data, keeping only what is useful.

Customers have more control and options over where and how they spend their money, especially in the online shopping environment where it’s easy to find options and compare prices. Edge computing gives brands the opportunity to instantly interact with customers across multiple channels to provide highly personalized experiences that encourage purchases.

Real-time data collection allows companies to dynamically adjust promotions, providing the right offers to the right customers – at the right time. For example, sensors within a clothing store can detect where a shopper is located, tie in historical shopping data about them, and then suggest deals on items that shoppers may be interested in buying. This real-time CX is hyper-personal to an audience of one and establishes a relevant shopping experience for the customer.

The power of the edge, though able to provide tangible benefits to organizations looking to improve CX, comes with its share of complexities.

Challenges at the Edge

Securing data at the edge and data sourced through IoT devices is a major challenge. As businesses increase the number of IoT devices used to generate and collect customer data, their attack surface area grows. Each new device, be it a sensor, smart thermostat, or connected speaker, opens new doors for cyberattacks.

The tricky part is ensuring the security of each device, as it often lacks the computational capacity for built-in security. In addition, edge devices are often misconfigured or are left with default configurations that are not secure. Threat actors can exploit security vulnerabilities to spread malware and steal data.

When it comes to creating a better CX through edge and IoT, businesses need to carefully toe the line between being helpful and being overbearing. For example, a grocery store leveraging sensors and a connected shopping cart may be able to deliver special sales to shoppers in the store but run the risk of bombarding them with too many notifications. This can come off as intrusive and leave customers feeling as though they’re being followed. When done properly, however, it can yield remarkable results and create experiences that keep customers coming back for more.

CX at the Edge

Given the ever-present nature of IoT devices and their continued adoption in the enterprise, there are opportunities at the edge to elevate CX strategies to their next level. Operating at the edge helps businesses democratize and curate experiences, as it cuts down barriers between customers and the brands they interact with. Being more functional at the edge and operating closer to customers means that the experience they receive is the one that is best suited to them.

Additionally, given the expansion of 5G networks and innovations in Wi-Fi technology, edge computing latency is dramatically dropping, enabling brands to deliver experiences to end-users even quicker. The edge gives IoT applications a localized basis for processing and storing data, which businesses can analyze through a local network. With latency reduction, experience optimization can happen even faster.

At the edge, brands can generate data that builds real-time insights that improve and enhance the CX and improve business intelligence in data stored in the cloud.

Want to learn how edge data management for IoT and mobile can help your organization modernize its edge application data processing and analytics? Go to the Actian website for more information.

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About Traci Curran

Traci Curran is Director of Product Marketing at Actian, focusing on the Actian Data Platform. With 20+ years in tech marketing, Traci has led launches at startups and established enterprises like CloudBolt Software. She specializes in communicating how digital transformation and cloud technologies drive competitive advantage. Traci's articles on the Actian blog demonstrate how to leverage the Data Platform for agile innovation. Explore her posts to accelerate your data initiatives.
Actian Life

Becoming an Emotionally Intelligent Leader

Emma McGrattan

November 18, 2022

hands on top of the others symbolizing the positive results in a team

Leaders across every organization learned valuable lessons about leading their teams more thoughtfully during the pandemic. Here at Actian, we learned that being a flexible, adaptable, and empathetic leader goes a long way in building trust with our teams. The pandemic and resulting seismic shift in how we interact with our colleagues shed light on the importance of understanding how external factors can impact mental health. Today, the onus is on leadership to foster an emotionally intelligent and empathetic working environment to make employees comfortable and feel supported in their roles.

A vital trait for today’s leaders, and the key to truly supporting your team, is having a developed sense of emotional intelligence. Leaders, across every industry, need to be able to foster an environment that allows employees the freedom to cope with the emotions and stressors in their lives while juggling work responsibilities.

Emotional intelligence, also known as emotional quotient, is generally defined as the ability to identify one’s emotions, apply them to problem-solving situations, and manage them positively. Personally, I equate being an emotionally intelligent leader with being able to make genuine connections with my team members. These “soft skills” are becoming more important than ever to company success (especially in a distributed workforce), as they allow us to become better, more empathetic, and more approachable leaders.

Of course, emotional intelligence comes more naturally to some than to others. Thankfully, it is a skill that can be learned and nurtured throughout a leader’s career and lifetime. Let’s look at a few traits of emotionally intelligent leaders and how one can develop these skills.

Emotionally Intelligent Leaders Clearly Express Employee Value

Leaders can acknowledge employee value by showing that they trust team members to complete their work well, without constant touchpoints. Make a point to eliminate micromanagement, and instead, delegate tasks, training employees in new skills where necessary. At Actian, our employees have flexible schedules allowed by the benefit of remote work. People want to arrange their day in a way that is cohesive with their personal life – whether it’s taking their kids to school, joining an after-work club or hobby, or simply prioritizing family. Offering flexibility like this is one way to confirm that leaders trust employees and value their contributions.

A key soft skill that emotionally intelligent leaders express is empathy. An empathetic leader will understand that any number of unseen factors could delay a project – sickness in the family, relationship problems, or kids struggling in school can all impact an employee’s work performance. An emotionally intelligent leader will have situational awareness and encourage open, honest, and ongoing communication. Keeping an “open door policy” helps employees feel empowered to reach out when they are struggling and demonstrates that leaders care about the team members and not just about their contributions to the team.

Emotionally Intelligent Leaders Strengthen Connections with Employees

People with high emotional intelligence are skilled at creating strong, lasting connections with others. One of the best ways to improve connections with employees is to schedule time to connect one-on-one. Tech leaders are often busy, but packed schedules are the enemy of progress.

Additionally, when employees do have personal or professional issues they might like to discuss, they will feel significantly more comfortable initiating the conversation with a manager they already have an established relationship with. Leaders who put in the effort to establish those connections from the beginning will be better equipped to help their employees find solutions to these problems.

Emotionally Intelligent Leaders Let Their Own Walls Down

Becoming an emotionally intelligent leader can be challenging. To help overcome any personal reservations, leaders should first work to develop a sense of self-awareness. It’s crucial to deliberately identify, understand, and regulate your own emotions before you can support others. Improving self-awareness allows you to expand your emotional scope to better understand and support employees.

Another way to connect more deeply with employees is to find and create teachable moments. Draw from your own mistakes and successes to develop an environment that focuses on continuous improvement, rather than perfection. Encouraging learning will in turn improve employee confidence, comfort, and overall satisfaction.

Emotionally Intelligent Leaders are Authentic in Their Approach

Last, but certainly not least, emotionally intelligent leaders will come to work as their authentic selves. This will lead employees to do the same and make regular wellbeing touchpoints easier. Bring your undivided attention to check-ins and show a real interest in your team members. A people leader must display that they care about their employees, not just about solving the problem at hand.

Lessons learned during the pandemic and the subsequent move to remote work will equip leaders with the skills needed to overcome future high-stress moments. Leaders must think about their workers holistically, looking for early signs of stress and other mental health factors. Health, especially mental health, is fragile, and once it’s fractured it is hard to put it back together again.

Interested in joining a company that values its employees’ contributions and prioritizes the wellbeing of workers? Take a look at the open positions on our Careers page to see where you could fit in!

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About Emma McGrattan

Emma McGrattan is CTO at Actian, leading global R&D in high-performance analytics, data management, and integration. With over two decades at Actian, Emma holds multiple patents in data technologies and has been instrumental in driving innovation for mission-critical applications. She is a recognized authority, frequently speaking at industry conferences like Strata Data, and she's published technical papers on modern analytics. In her Actian blog posts, Emma tackles performance optimization, hybrid cloud architectures, and advanced analytics strategies. Explore her top articles to unlock data-driven success.
Data Integration

Customer Experience and Cloud Data Integration, Explained

Traci Curran

November 16, 2022

A network of people icons connected by lines illustrating the relationship between customer experience and cloud data integration

With a myriad of customer experience (CX) tools available today, enterprises are flooded with options when it comes to the services they use to interact with customers. The challenge for businesses is sifting through the many data silos that these tools create. While CX tools are helpful for efficiency, they can create organizational blind spots if data is not integrated effectively.

Data integration is pivotal to the success of any CX program, regardless of the technological solutions that have been deployed. Enterprises managing data in the cloud need to know where that data lives, how to integrate it into their technology stacks and how to leverage it for analysis. Data management tools that automate the integration process are eminently more effective than manual integration and can yield more accurate views of where customers sit on their lifecycles.

Recent reports found that nearly 60% of corporate data globally is stored in the cloud. As the volume of cloud data storage continues to increase, it’s worth understanding the critical role data integration plays in CX, and how organizations can improve their integration strategies to yield better business results.

Data Integration Hurdles

One area where businesses tend to struggle with data integration is understanding the details of where their data is stored and how it’s processed. Oftentimes, data generated by different business units can be disparate. A very simple example of this is date formats. In the US, the date format is MM/DD/YYYY. In many other countries, they enter the day first and then the month – DD/MM/YYYY. If a global retailer wants to send a birthday promotion to a customer, they need to know which format was used to capture a customer’s date of birth.

Another common plague of poor data integration is data duplication. Multiple customer records can lead to poor customer service. For example, if different systems are not connected, it may be difficult to access relevant customer information. Customer service representatives may have trouble identifying the products a customer has purchased, as well as their serial numbers and other relevant information. This can lead to delays in service and unhappy customers.

A lack of access and visibility to customer data can leave businesses flailing when it comes to CX efforts. Today’s consumers have extremely high service expectations and demand personalized experiences. Without easy access to data, CX teams have no way to tailor an experience and gain the desired outcome.

Fitting Data Integration Into CX

Overcoming data integration hurdles can be challenging for businesses but is a necessary step to move the needle forward on the quality of CX efforts. Businesses need to have a holistic understanding of who their customers are and can only do so when their data is effectively integrated across the enterprise. This can be difficult when data is exploding in volume and complexity. New datasets that are continuously generated require a more thoughtful approach as to how they’re managed, analyzed and stored.

Businesses need a full understanding of their data, who’s using it, and for what purpose. They should ask themselves the following questions: What do I need to deliver on CX goals? Where did this data come from, and how was it generated? Is this data compliant with privacy laws and regulations? Is this data easily integrated for use across the business? Once there are clear answers to these questions, only then can the integration process begin.

Undergoing data integration in a way that can benefit CX efforts requires several steps to be successful. Data professionals need to be able to easily integrate and transform data so it can be stored securely and used effectively to improve customer experiences.

This approach to data integration gives businesses a deeper understanding of their customers, their lifetime value, where they are on their buying journey, and results in more competitive insights. Data integration also enables organizations to protect against customer churn and improve products and services. Serving as a single platform for integration, transformation and storage that combines first and third-party data, the Actian Data Platform provides businesses with real-time insights and access to hundreds of data sources and does so without performance disruptions.

Nailing CX through efficient data integration should be a priority for every business looking to improve their relationships with their customers. Actian’s ease of integration through automation simplifies this for businesses and helps optimize their decision-making processes on next steps with customers. To learn more about how Actian can help your business unlock maximum CX insights at a fraction of the cost of other leading providers, visit our Actian Data Platform webpage.

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About Traci Curran

Traci Curran is Director of Product Marketing at Actian, focusing on the Actian Data Platform. With 20+ years in tech marketing, Traci has led launches at startups and established enterprises like CloudBolt Software. She specializes in communicating how digital transformation and cloud technologies drive competitive advantage. Traci's articles on the Actian blog demonstrate how to leverage the Data Platform for agile innovation. Explore her posts to accelerate your data initiatives.
Data Analytics

The Best Ways to Deliver on the Promises of Real-Time Data Analytics

Actian Corporation

November 14, 2022

Image with binary code in green and blue that represents real-time data analytics

I summarized some of the key capabilities that businesses should look for to meet the demands of real-time analytics. I’d like to expand upon these key questions that may directly impact the success of your organization.

How Do We Scale and Manage Data and Analytics Across the Enterprise?

Many have mistakenly thought that once they moved their analytics to the cloud, they would have infinite scale. After all, you just add more resources such as additional nodes and instances as you need them. You simply sign up for a solution’s free trial; everything is working great, and you move forward with your purchase. But after several months, requirements to add more data, a lot more data, continuously materialize, and you find out there’s still a long way to go. Take these predictions into account:

  • International Data Corporation (IDC) predicts that the global data volume will expand to 175 zettabytes by 2025.
  • Forbes predicts that 150 trillion gigabytes of real-time data will need analysis by 2025.

Not only are you overwhelmed by the volume of data, but you also find that it’s hard to reuse data pipelines for data ingestion and to ensure compliance as data becomes more widely used. Now, you realize your real-time data analytics initiative is “stuck”.

You didn’t go wrong with starting small. Starting small is often the best approach if you have a plan to scale and manage your data and analytics as your needs grow. Look for solutions that are flexible, agile, and scalable to meet your key performance indications and service level agreements. You should also be able to readily share data across use cases and provide consistent management, governance, and compliance.

How Do We Source, Manage, and Deliver Data That is Timely, Relevant, and Trusted, to the Right Customers?

We want near real-time data, empowering “next best action” decisions in the moment. This means that data must be present to front-line workers in a manner that is actionable, in the context of their job. The best real-time analytics is embedded within the environment its customers operate in.

So, what does embedded analytics mean? According to Gartner:

“Embedded analytics is a digital workplace capability where data analysis occurs within a user’s natural workflow, without the need to toggle to another application. Moreover, embedded analytics tends to be narrowly deployed around specific processes such as marketing campaign optimization, sales lead conversions, inventory demand planning and financial budgeting.”

Include embeddable analytics in your capabilities to make sure your users are getting the maximum value from data. Often this involves embedding analytics within business applications your users already leverage to do their jobs with enhancements to inform their next best actions. Embeddable analytics can also involve alerting and recommendations if specific thresholds are met, or if specific anomalies are detected, sent to tools your users already have. In short, your front-line users often don’t need to learn completely new technologies or applications or learn how to become a data analyst to benefit from advanced analytics.

How Do We Democratize Data While Protecting Privacy, Complying with Regulations, and Ensuring Ethical Use?

Data privacy regulations are expanding across the globe. Gartner says that 65% of the world’s population will have its personal data covered under modern privacy regulations. Companies are becoming increasingly concerned about significant risk exposure. For instance, violators of General Data Protection Regulation (GDPR) may be fined up to €20 million, or up to 4% of the annual worldwide turnover of the preceding financial year, whichever is greater.

However, simple encryption is not enough to ensure compliant real-time data analytics. For analytics to be useful for various use cases in your organization, different data attributes need to be visible to different authorized users, while being de-identified or redacted for others. For example, the sensitive data your customer-facing users need to see will vary by geography, product line, business function, and identity of the customer.

Your data analytics software will need to provide new data security techniques such as column-level and record-level protection, and dynamic masking, to ensure authorized users see only what they need to see to do their jobs, nothing more and nothing less. Be particularly vigilant when evaluating cloud-native databases and analytics tools since many don’t support these techniques.

How Do We Change the Culture, Empower Employees, and Hire and Retain Data Talent That Makes All This Possible?

Your culture matters just as much as your data analytics software. A good start includes defining three things:

  • Your purpose for the platform (why it exists).
  • Your vision for the platform (what it hopes to deliver).
  • Your mission (how will it achieve the vision).

Building collaboration and trust between data owners, engineers, data and business analysts, and other stakeholders paves the way to ensure you can offer the right data to the right decision makers at the right time without leaning on IT.

Learn More

Learn more on business imperatives driving real-time data analytics, key capabilities you’ll need to be successful and an overview of how a data analytics software solution maximizes business value.

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About Actian Corporation

Actian empowers enterprises to confidently manage and govern data at scale. Actian data intelligence solutions help streamline complex data environments and accelerate the delivery of AI-ready data. Designed to be flexible, Actian solutions integrate seamlessly and perform reliably across on-premises, cloud, and hybrid environments. Learn more about Actian, the data division of HCLSoftware, at actian.com.
Data Analytics

Customer Experience (CX) Challenges for Small Businesses

Teresa Wingfield

November 11, 2022

a digital projection showing the outcome of customer experience challenges

Customer experience (CX) is top-of-mind for business leaders who are weighing how to best make decisions that encourage customer loyalty and engagement. There has been a strong push across all industries to improve the quality of experience customers have, which in turn, drives revenue growth.

Successful deployment of CX initiatives comes with challenges, however. While CX challenges exist for enterprises of all sizes, small and medium businesses (SMBs), or organizations with under 1,000 employees, face their own unique set of hurdles. Among the economic strains felt during the COVID-19 pandemic, SMBs have felt the sting the most, with over a third reporting closures throughout the past few years.

Challenges such as staffing, smaller technology stacks, and pandemic-borne issues such as supply chain delays have put SMBs in the unenviable position of maintaining customer loyalty, at a time when resources are strained, and loyalty is at a premium. SMBs are trying to maintain their current customer base when consumers are more willing to try out other brands and shopping experiences than ever before.

Improving CX is no short order for SMBs. Here, we’ll share some of their top challenges and offer tips and insights on how to address them.

Small Businesses Hit the Ground Running

In part due to their size, SMBs have a tougher CX battle than larger organizations that have more technological resources and bigger customer bases. Large organizations enjoy access to bigger swaths of data to accurately portray images of who their customers are, and how to reach them in their lifecycle.

For SMBs, this means that serious CX issues can arise when data is incomplete or not up to date. While lower-quality data can present issues for businesses of any size, SMBs particularly feel the pain when they’re unable to weave disparate data points together for a complete 360-degree view of their customers. A large enterprise will typically have backlogs of historical data that it can easily stitch together to help determine what a buyer’s next steps might be and when and how to engage.

Further, as SMBs continue to grow and scale in size, so too must their technology stacks that analyze data. SMBs need to assess if current systems within their stack are setup to intelligently bring data together to inform customer behavior. Oftentimes, SMBs that are focused on growth are operating with legacy technology. Outdated, legacy technology can hold back CX efforts, and SMBs don’t always have the same wide-reaching budgets that larger businesses have to replace old systems.

Overcoming SMB Challenges

CX is a huge priority for SMB leaders. A recent report by SurveyMonkey found that over 70% of SMB business owners identified this as their number one priority for growth. For this growth to happen, however, SMBs must be prepared to manage and analyze data.

The same report also found that data analysis and acting on data are among the top challenges SMBs face with CX. When determining CX goals, SMB leaders need to take stock of the current systems and ask themselves these three questions:

  • Does our system offer a holistic understanding of our customers?
  • Can it provide a snapshot view of where customers currently are?
  • How do we take that view and use it to deliver superior experiences for customers?

By reflecting on this, SMBs can assess if their systems can meet customer needs and effectively reach micro-segmented audiences. From there, SMBs can draw up a CX plan and put a plan of attack in place.

The Actian Data Platform offers SMBs the ability to take data within their stacks and seamlessly connect it, ensuring they can make informed, meaningful decisions. For SMBs strapped with low IT support, the Actian Data Platform is easy to deploy and use, offering a single solution for data integration, management, and analytics. This solution keeps costs low, while simplifying data sharing across the business.

SMBs often face challenges that larger organizations do not need to worry about. But those issues should not get in the way of creating a great CX. With thoughtful analysis and a low-cost solution in place, SMBs can overcome challenges integrating data needed for CX and create a loyal customer base.

Want to learn how Actian and the Actian Data Platform can help your organization take its CX strategy to the next level? Learn more!

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About Teresa Wingfield

Teresa Wingfield is Director of Product Marketing at Actian, driving awareness of the Actian Data Platform's integration, management, and analytics capabilities. She brings 20+ years in analytics, security, and cloud solutions marketing at industry leaders such as Cisco, McAfee, and VMware. Teresa focuses on helping customers achieve new levels of innovation and revenue with data. On the Actian blog, Teresa highlights the value of analytics-driven solutions in multiple verticals. Check her posts for real-world transformation stories.
Data Management

Management and Governance: A Successful Data Strategy

Teresa Wingfield

November 9, 2022

man holding a tablet with data showing a data governance dashboard

It’s no secret that businesses are using their abundance of data to generate insights that will advance their position in the marketplace or to make strategic decisions that will enhance value for their customers. Businesses that get the most out of their data aren’t those that happen to collect the most data, but those that do the best job of controlling the data they collect.

Many mechanisms define the act of data control. The two most talked about – and most easily confused – are data management and data governance.

Some organizations consider data governance as a component of data management. Others give governance a higher rank, suggesting that data management carries out governance’s policies. So, what’s the truth? The truth is that the model works both ways. Data governance and data management are two separate terms that cover different functions. They also work together to ensure that enterprises make the best possible use of their data.

What is Data Management? The term is best described as the management of all architectures, policies, and procedures that serve the full data lifecycle needs of an organization. It is an IT practice that aims to make sure that data is accessible, reliable, and useful for individuals and the organization. The term can also refer to broader IT and business practices that enable the use of data in the most strategic way possible.

Key aspects of data management include processes connected to data preparation, the data pipeline, and the data architecture. It’s critical to prepare data to make it usable for analysis. The pipeline pulls the data from various sources and loads it into storage options, such as a data warehouse, data lake, or cloud data platform. The data architecture defines the formal flow of data across its lifecycle.

Where Does Data Governance Fit In? While data management focuses on practices, data governance is about rules. The rules determine the appropriate use, handling, and storage of data. Data stewards set guidelines for who owns which data sets internally and who is authorized to access, edit, and circulate them. Governance rules also spell out how organizations secure data and comply with ever-increasing government regulations.

A well-designed data governance program includes several teams – usually one that oversees governance, a governing committee, and data stewards. They set standards and procedures for important matters ranging from data quality to data stewardship to data transparency.

The differences are clear: data governance charts out a broad set of policies implemented across an organization, and data management puts those policies – along with other best practices implemented along the way – into action. Data management is the execution, and data governance is the roadmap that guides the execution.

How Data Management and Data Governance Work Together

Looking at these terms another way, they complement each other like components in a landscaping project. Data governance scopes out the project – how it is going to look, what materials to use, and who is on the project team. Data management carries out the work. You could build a house without a blueprint, but the possibilities of making mistakes and overseeing critical aspects of building a home will run high. As a result, it will take much longer to build at great expense. Data management and data governance work together to maintain and protect data through a blend of processes and policies. The following are examples of the two concepts in action:

Your data governance policy could require that organizations keep customer data on-site for 10 years to meet regulatory requirements. Implementing data management processes can ensure that data is archived and deleted in a systematic manner.

Data management and data governance can also ensure proper data access. If a data governance policy dictates that only employees who need personally identifiable information (PII) to perform their jobs can access it, a data management process can grant role-based access to employees with appropriate authorization.

Organizations need to optimize their use of data to take advantage of digital transformation initiatives, machine learning, artificial intelligence, and other emerging technologies and practices. Creating sound data management and data governance practices provides control over data assets that will go a long way toward contributing to future success.

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About Teresa Wingfield

Teresa Wingfield is Director of Product Marketing at Actian, driving awareness of the Actian Data Platform's integration, management, and analytics capabilities. She brings 20+ years in analytics, security, and cloud solutions marketing at industry leaders such as Cisco, McAfee, and VMware. Teresa focuses on helping customers achieve new levels of innovation and revenue with data. On the Actian blog, Teresa highlights the value of analytics-driven solutions in multiple verticals. Check her posts for real-world transformation stories.
Data Analytics

Four Ways Your Analytics Journey Can Help With Customer Behaviors

Actian Corporation

November 7, 2022

depiction of reducing customer churn using predictive analytics

We all thought, or at least hoped, that the COVID-19 pandemic would be history by now. Conditions are certainly better, but the end isn’t in sight. We still don’t know if COVID-19 will evolve into an endemic disease that we can more easily live with or if there’s a more deadly mutation just around the corner.

COVID-19 and its impact on consumers continues to ebb and flow regionally. Customer expectations and how they want to interact with businesses constantly evolve, with market dynamics influenced by the virus and its downstream economic and social impacts. For instance, during the pandemic, customers prioritized a safe shopping experience, often moving their shopping online, over saving money. But now, customers are once again trying to save money as consumer prices continue to rise due to pandemic-imposed supply chain shocks. They’re also increasing their visits to physical stores now that vaccines are available to help protect them from infection.

What Does This Mean for the Future of Data Analytics?

The pandemic has made navigating the right analytics journey essential to the survival and recovery of your business. Here are a few key examples:

Make Real-Time Decisions

In the “new normal” of pandemic-related health risks and restrictions, customer behaviors can change in real-time due to COVID-19 risks as well as supply chain impacts. Organizations thrive when they can use real-time analytics to monitor and react to changes as they occur in real-time. Those who cannot may struggle. A good customer journey depends on a good analytics journey. Organizations can attract and retain customers more effectively with relevant data available at the right time to see customer behavior changes and market impacts as they happen. It can also inform them of the next best actions in the moment.

Use Analytics in Digital Innovation

The International Data Corporation (IDC) says that enterprises now plan to spend more than half of their IT budgets on digital innovation because of the pandemic. Digital innovation intersects with analytics to optimize critical business processes such as buying processes, customer experiences, personalization and delivering new business models.

Predict Customer Behaviors

Your analytics journey ought to consider ways to accelerate Machine Learning (ML) and Artificial Intelligence (AI) to improve how you anticipate and understand customer needs and preferences of customers. Imagine being able to predict behaviors such as what customers want to buy, where they want to buy it, how much they are willing to pay, and the method they want to use for payment.

Make Your Supply Chain Resilient

Businesses need real-time analytics that will help them reinvent their supply chains to adjust to new realities quickly and efficiently. Analytics can give you visibility into demand volatility, supply shortages, inventory stock challenges, transportation bottlenecks, warehouse, and labor inefficiencies and more. This provides the transparency you will require for a fast-moving and optimized supply chain.

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About Actian Corporation

Actian empowers enterprises to confidently manage and govern data at scale. Actian data intelligence solutions help streamline complex data environments and accelerate the delivery of AI-ready data. Designed to be flexible, Actian solutions integrate seamlessly and perform reliably across on-premises, cloud, and hybrid environments. Learn more about Actian, the data division of HCLSoftware, at actian.com.