Data Intelligence

All You Need to Know About the Data Governance Act

Actian Corporation

June 28, 2022

Data Governance Act Zeenea

The Council of the European Union has just approved the Data Governance Act, a document that aims to facilitate the re-use of certain protected public sector data and encourage data sharing throughout the European Union while ensuring strict respect of data privacy. It should be executed by 2023. 

When it comes to data, the European Union plays a major role. While the GDPR celebrated its fourth anniversary on May 25th, the European Parliament and the Council of the European Union continue to work for a reasonable and responsible use of data. The Data Governance Act (also known as the DGA) has been in the works since 2019 – the result of a broad consultation covering the private and public sectors. Based on 11 workshops, the DGA is devoted to the strengthening of the control offered to individuals and legal entities on the use and dissemination of their data. 

After an initial agreement on April 6th, 2022, to define the scope of the Data Governance Act, the Council of the European Union officially approved the DGA on May 16th, 2022. The Act is expected to be fully implemented by the summer of 2023. Beyond its main ambition, which is to define a unique and homogeneous framework for all European countries, the Data Governance Act is conceived as a legal instrument that should facilitate, fluidify, and rationalize the exploitation of data. 

Unlike the GDPR, the Data Governance Act is not limited to personal data but has much broader ambitions. These are ambitions that not only frame good practices related to data governance but also encourage the exploitation of data from the public sector. Behind the DGA, there is a double aspiration: to preserve the freedom of the business while protecting data privacy.

What Exactly is the DGA?

To fulfill its mission of protecting data while creating the conditions for freeing up innovation and creativity, the Data Governance Act is based on four key principles. 

The first principle concerns public actors. Like private sector companies, public agencies generate and use large amounts of data. This data falls under the scope of the GDPR and is subject to strict protection and oversight, whether it is personal data, privacy rights, or intellectual property. The DGA sets out a legal and technical framework that defines the rules for the re-use of this protected data, with essential levers such as anonymization or pseudonymization.

The second major component of the Data Governance Act is devoted to the sharing of data (personal or corporate) with non-profit organizations. The regulator’s ambition is to encourage innovation in the public interest in key sectors such as the environment and health sectors. A specific status called ‘altruistic organization’ will thus be created. To benefit from this status, it will be necessary to register officially via a European form and to respect a demanding framework, placed under the line of transparency.

The third principle of the DGA concerns the sharing of data between companies and private actors. These actors use intermediaries whose missions are redefined by the DGA. The principle is clear: to avoid that these intermediaries can exploit the information for their own purposes by sharing it. Once again, the DGA sets out the principle of total transparency, combined with an ambition for sovereignty. For example, these intermediaries must be located in the European Union or the European Economic Area.

Finally, the DGA institutes the creation of a European Data Innovation Council that will compile and share best practices related to data governance, with ongoing reflections on standardization at the European level.

What is the Impact of the Data Governance Act for Your Company?

While the DGA may seem restrictive in developing a precise framework, particularly for data intermediation, it is nevertheless a major step forward. Indeed, behind the native requirement inscribed in the spirit of the Data Governance Act, you will find above all, the ground of trust with your customers as well as your partner ecosystems. A trust that is essential to legitimize all data projects in the service of the efficiency and productivity of your company.

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About Actian Corporation

Actian empowers enterprises to confidently manage and govern data at scale, streamlining complex data environments and accelerating the delivery of AI-ready data. The Actian data intelligence approach combines data discovery, metadata management, and federated governance to enable smarter data usage and enhance compliance. With intuitive self-service capabilities, business and technical users can find, understand, and trust data assets across cloud, hybrid, and on-premises environments. Actian delivers flexible data management solutions to 42 million users at Fortune 100 companies and other enterprises worldwide, while maintaining a 95% customer satisfaction score.
Data Analytics

How Blind Spots and Data Gaps Decrease Data-Driven Business Value

Actian Corporation

June 23, 2022

blind spots and data gaps can decrease data-driven business value

You can’t measure what you can’t see. If you consider this in terms of data, you also can’t analyze, curate, or leverage data blind spots to help create actionable insight.

For many business technologists and business intelligence professionals, blind spots and data gaps create functional frustration and make it harder for teams to deliver data-driven value back to the business. But what does this mean in practice? How does lacking visibility impact line-of-business objectives, and what can businesses do to get information operations back on track?

The Current State of Sight

Recent survey data makes it clear: Data visibility is a problem for organizations. Fifty-two percent of data professionals pointed to lack of visibility across the IT environment as their top challenge—lack of proactive alerts was a distant second at 37%.

It makes sense: While seeing data end-to-end is relatively easy when data warehouses and storage repositories are under one roof. Blind spots most often occur with the addition of multiple cloud storage instances, geographically disparate backup solutions, shadow SaaS applications, and the increasing use of the Internet of Things (IoT) devices to track, manage, and monitor business operations.

Put simply, teams have more data to work with—but significantly less visibility.

The Problems of Data in the Dark

Data in the dark comes with several challenges for data professionals, including:

Cultivating Context

Context matters when it comes to making data-driven decisions. Suppose teams don’t have access to all available data. In that case, they could miss key indicators that could help pinpoint more effective actions. Context also helps ensure that decisions are not made using information that’s out-of-date and no longer relevant.

Issue Identification

As noted by Tech Target, one of the biggest challenges with big data is finding and fixing data integrity and quality issues. Add in a lack of visibility, and this challenge can quickly become a significant problem: Data you can’t see may mean bad data is contaminating good data and skewing the ability of businesses to make the right decisions.

Cost-Effective Scaling

Data warehouses, backup facilities, and analytics solutions naturally scale as businesses grow. But without clear sightlines into where data is stored, how much data you have, and how much room you need, it’s easy to over- or under-spend on data scaling investments. Both cases are problematic: Spend too much, and you’re paying for wasted space. Spend too little, and you could face significant performance problems as resources are taxed to the limit.

The Potential of 20/20 Vision

With better insight into where data is located, what it’s being used for, and how it relates to business objectives, companies are better prepared to conduct real-time analytics that drive strategic decision-making.

Consider the use of customer data. In isolation, customer data points have some value but limited scope. For example, historical transaction data points to a pattern of purchasing; however, when combined with information about customer service calls, social media engagement, and website visits, companies can create a complete picture of the consumer journey. This “customer 360” view makes it possible to pinpoint areas for improved service delivery or experience personalization that can help reduce customer churn or expose additional revenue opportunities.

But achieving 20/20 vision doesn’t happen overnight. Along with clear goals for data, such as increasing customer spend or improving consumer satisfaction, businesses need tools capable of shining a light on disparate data sources. These include everything from hybrid cloud data warehouses to edge data management solutions and enterprise data integration platforms—anything that shortens the distance between data and action and makes it possible to close current data gaps.

Data blind spots lower data-driven business value. See what matters with solutions that empower end-to-end visibility.

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About Actian Corporation

Actian empowers enterprises to confidently manage and govern data at scale, streamlining complex data environments and accelerating the delivery of AI-ready data. The Actian data intelligence approach combines data discovery, metadata management, and federated governance to enable smarter data usage and enhance compliance. With intuitive self-service capabilities, business and technical users can find, understand, and trust data assets across cloud, hybrid, and on-premises environments. Actian delivers flexible data management solutions to 42 million users at Fortune 100 companies and other enterprises worldwide, while maintaining a 95% customer satisfaction score.
Data Management

Cloud Economics – The Advantage of Moving Your Data to the Cloud (TCO)

Actian Corporation

June 21, 2022

Digital cloud to illustrate how to calculate TCO

Cloud economics is a relatively new term, but it is growing in importance as businesses increasingly move their data to the cloud. As more organizations look for new ways to model their business in support of scalability and agility, it has become imperative that they better understand the short and long-term costs of cloud services.

There are many factors to consider when evaluating the economics of a move to the cloud, but one of the most important is Total Cost of Ownership (TCO).

What Exactly is Cloud Economics?

Cloud economics is the study of the financial impact of moving data and workloads to the cloud. This includes both the short-term and long-term costs associated with such a move, as well as any potential benefits that may be realized.

Understanding TCO

TCO is a financial metric that attempts to quantify all of the direct and indirect costs associated with a given investment over its lifetime. In the context of cloud computing, TCO analysis can be used to compare the costs of running a workload on-premises versus in the cloud.

There are several factors to consider when conducting a TCO analysis for cloud migration. You’ll need to think about short-term costs, such as data egress fees and one-time migration expenses. However, it is also essential to consider long-term costs, such as running and maintaining on-premises infrastructure and the opportunity cost of not taking advantage of cloud-native features and services.

Other vital things to keep in mind when evaluating TCO include:

  • Capex vs. Opex – While many believe that Opex is preferable, you may want to consider waiting for compelling reasons, such as data center decommissioning or hardware refreshes.
  • Labor – While the cloud can often require less human capital to operate, the cost of highly skilled cloud professionals may be higher than traditional data center staff.
  • Cost of Migration This cost includes many facets, consultants, time, and risk. This is probably the biggest consideration and should be a big part of cloud planning.
  • Architecture – Vendor lock-in, portability, ecosystem integrations, and security all play a part in determining how to architect a shift to the cloud.

While TCO analysis can vary depending on the complexity of your business and its move to the cloud, it is essential to remember that the goal is to get a holistic view of all costs associated with a cloud transition. By understanding TCO, you can make more informed decisions about when, where, and how to plan and invest your resources.

The Advantages of Moving to the Cloud

As businesses calculate their TCO when moving data to the cloud, it becomes evident to most that there are many advantages to be gained. These benefits can be broken down into four main categories.

1. Increased Agility and Scalability

The cloud is an ideal platform for businesses looking to scale their operations quickly and easily. By moving to the cloud, you can take advantage of the elasticity and flexibility that the cloud provides, allowing you to scale up or down as needed. This can help you save on both capital and operational expenditures.

Additionally, the cloud allows you to quickly provision new resources and services as your business needs change. This increased agility can give you a competitive edge in today’s ever-changing business landscape and improve your customer experience.

2. Better Business Efficiency

The cloud can help you optimize your IT infrastructure and increase your operational efficiencies. By moving to the cloud, you can take advantage of features like auto-scaling and self-healing, which can help you reduce downtime and improve your overall efficiency.

The cloud also provides businesses with access to a global network of data centers which can help you improve your latency and speed. This can be a significant advantage for businesses looking to improve customer experience. Additionally, all of the major cloud providers boast a robust set of ecosystem partners.

3. Enhanced Security

One of the common misconceptions about the cloud is that it is less secure than on-premises. However, this could not be further from the truth. In fact, the cloud can provide you with a number of security advantages.

When you move to the cloud, you gain access to a team of experts who are constantly working to keep your data safe. Additionally, the cloud provides you with robust security features like firewalls, intrusion detection, and encryption which can help you protect your data. Of course, it’s important to remember that it’s a shared security model. In the most basic terms, your cloud provider secures the infrastructure, but your teams will still need to understand how to secure databases and applications.

4. Improved Disaster Recovery

The cloud can provide you with a robust disaster recovery solution that is scalable and reliable. By leveraging the cloud, you can ensure that your data is always protected and available, even in the event of a significant outage.

The cloud can also help you save on disaster recovery costs. With the cloud, you only pay for the resources you use, which can help you keep your disaster recovery costs to a minimum.

Bottom Line

When comparing costs between on-premise and cloud solutions, it is important to think about the total cost of ownership by considering all of the costs associated with a move to the cloud while also weighing the benefits of better scalability, agility, and improved business efficiency. Even with all the pros, there will always be situations, especially in highly regulated environments, where some data and applications will need to remain on-premises. Thankfully, hybrid cloud is also a viable choice and certainly should be considered as you plan for the ever-expanding future of cloud technology.

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About Actian Corporation

Actian empowers enterprises to confidently manage and govern data at scale, streamlining complex data environments and accelerating the delivery of AI-ready data. The Actian data intelligence approach combines data discovery, metadata management, and federated governance to enable smarter data usage and enhance compliance. With intuitive self-service capabilities, business and technical users can find, understand, and trust data assets across cloud, hybrid, and on-premises environments. Actian delivers flexible data management solutions to 42 million users at Fortune 100 companies and other enterprises worldwide, while maintaining a 95% customer satisfaction score.
Data Platform

Why a DBA Will Find Going to the Cloud to Their Advantage

Actian Corporation

June 13, 2022

Cloud for DBAs

The cloud is everywhere. Steady pre-pandemic growth transitioned into massive uptake over the last two years, and according to research firm Gartner the market shows no signs of slowing—by the end of 2022, spending on public cloud services is set to reach almost $500 billion worldwide.

The challenge? Not all IT professionals are convinced about the utility, efficacy, and security of the cloud. Consider database administrators (DBAs). Tasked with managing multiple on-site databases, many of which contain privileged information or are subject to regulatory and compliance oversight. Coupled with the fairly radical shift in operational knowledge, it’s little wonder that DBAs are finding themselves in a love-hate relationship with the cloud.

Many DBAs are finding their roles shifting to more than “keeping the lights on.” Once tasked with maintaining service SLAs and access control, many DBAs are now moving to roles that have put them in more consultative functions, such as determining which databases are cloud-ready or assessing how cloud applications may work with on-premises databases.

State of the Database

According to the Managing Data in a Demanding Digital Economy 2022 report, 79% of database professionals expect to see budget increases this year. This is good news since 43% of those surveyed said that the current amount spent on database management technologies is inhibiting their company’s competitiveness in the market.

Their biggest concerns? Forty-nine percent pointed to applying upgrades and patches, 40% highlighted security, and 36% spoke to testing and quality assurance challenges. Efforts are underway to address these issues: Database consolidation and the adoption of cloud solutions are running neck-and-neck at 33% and 31%, respectively.

For many DBAs, this choice matters most: Does it make sense to make the cloud shift, or is it worth putting time and effort into database consolidation? In practice, the truth lies somewhere in the middle: While consolidation makes sense to help better manage in-house resources, the rapidly expanding scope of data sources outside the direct control of DBAs speaks to the need for broader cloud adoption.

Benefits of Moving to the Cloud

Moving to cloud solutions such as database-as-a-service (DBaaS) offers four key benefits for DBAs:

Speed

Data doesn’t wait for businesses to be ready. Instead, companies must contend with an ever-increasing flow of information from disparate sources. What’s more, this data is no longer confined to the neat rows and columns of familiar structured frameworks. Now, structured and unstructured data alike are equally important to drive business objectives.

The cloud provides a way for DBAs to better manage data and scale effectively to account for changes in data flows. Equipped with scalable, on-demand resources, administrators can increase current database limits or spin up new databases with far less effort.

Scope

Cloud solutions allow companies to collect, store and analyze data anywhere, anytime. For DBAs, clouds lay the framework—paired with tools such as hybrid cloud data warehouses, it’s possible to extend management policies and processes across data sources at scale to create a unified management approach.

Stability

What happens when databases go down? While increased database resilience means that the average amount of downtime per year is decreasing, overall costs are up—almost half of all outages cost companies more than $100,000.

DBaaS and other cloud-based services provide increased database stability, improving overall spend management. Put simply, while it’s impossible to eliminate downtime completely, the shorter the outage, the lower the cost. Cloud-based backups allow DBAs to shorten the distance between outage and service recovery, helping businesses get back on track.

Security

One of the biggest stumbling blocks for cloud adoption has been security. It makes sense: Services beyond the direct control of administrators naturally introduce potential security risks. The reality, however, is that the disparate data sources now used by companies already carry this risk. Cloud-based solutions offer the ability to secure data from its point of origin through eventual use, long-term storage, and destruction.

Delivering on DBA Potential

As data sources become more disparate and data volumes ramp up, DBAs need a new way to manage and monitor data at scale.

This starts with tools and technologies capable of automating tasks that require substantial manual effort and are prone to human error and continues with the consolidation of databases to help streamline data management in-house. Meanwhile, adopting cloud-based services such as DBaaS helps extend the reach of DBAs beyond traditional database borders by making it possible for database administrators to unify security controls, streamline data management, and scale-up

actian avatar logo

About Actian Corporation

Actian empowers enterprises to confidently manage and govern data at scale, streamlining complex data environments and accelerating the delivery of AI-ready data. The Actian data intelligence approach combines data discovery, metadata management, and federated governance to enable smarter data usage and enhance compliance. With intuitive self-service capabilities, business and technical users can find, understand, and trust data assets across cloud, hybrid, and on-premises environments. Actian delivers flexible data management solutions to 42 million users at Fortune 100 companies and other enterprises worldwide, while maintaining a 95% customer satisfaction score.