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DataOps: How To Turn Data Into Actionable Insights
  • September 30, 2021

DataOps: How to Turn Data into Actionable Insights

Enterprises‌ ‌have‌ ‌struggled‌ ‌to‌ ‌collaborate‌ ‌well ‌around‌ ‌their‌ ‌data, which can impact everything from digital transformation to advanced concepts like AI and ML.‌ ‌DataOps is not without challenges; building, managing, and scaling data pipelines requires careful thought around reusability, portability across infrastructure and applications, and long term maintenance and governance. And these are just…

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Customer Analytics: How To Measure A Customer’s Journey
  • September 25, 2021

Customer Analytics: How to Measure a Customer’s Journey

Customer Analytics Overview: A true 360-degree view of a customer can’t be sourced exclusively from internal data let alone from a single system or department. Organizations trying to correlate customer interactions, transaction history, and behaviors to improve customer acquisition ROI and retention struggle to aggregate and analyze data and signals across operational, social engagement, customer…

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Big Data Integration
  • September 14, 2021

Big Data Integration

The topic of data integration has been around forever. Before we used technology to manage data, we integrated data in manual ways. At the time, we needed to integrate simple data structures such as customer data with purchase data. As the industry progressed, we have gone from managing flat data files and integrations to…

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Data Integration Architecture
  • September 8, 2021

Data Integration Architecture

Data is everywhere. In any organization, you will find data in multiple applications, databases, data warehouses, and in many cases, public and private clouds. Usually, data does not belong to a specific group within an organization and is often shared across teams and applications. Similar to a professional sports team, each function in the…

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Data Migration: A Roadmap To Success
  • August 13, 2021

Data Migration: A Roadmap To Success

Organizations initiate data migration projects for several reasons. They might need to overhaul an entire system, upgrade databases, establish a new data warehouse, support a cloud migration roadmap, or merge new data from an acquisition or other source. Data migration is also necessary when deploying another system that resides next to incumbent applications. Regardless…

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Six Essential Data Preparation Steps For Analytics
  • July 28, 2021

Six Essential Data Preparation Steps for Analytics

Abraham Lincoln might easily have been discussing data preparation steps for analytics when he said, “If I had 8 hours to chop down a tree, I would spend 6 sharpening my axe.”  Spending 75% of the allotted time on preparation may seem like a lot. But in fact, most industry observers report that data…

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Hybrid Data Conference Recap And Highlights
  • June 17, 2021

Hybrid Data Conference Recap and Highlights

That's a Wrap! Wow! What a wonderful time we had at the 2021 Hybrid Data Conference! Over the course of two days, we showcased amazing demos, customer stories and technology advancements across the Actian portfolio. For those in attendance, we hope you enjoyed the event and opportunity to see a few of the ways…

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What Is The Difference Between A Data Analytics Hub And A Lakehouse?
  • March 25, 2021

What is the Difference Between a Data Analytics Hub and a Lakehouse?

In the opening installment of this blog series—Data Lakes, Data Warehouses and Data Hubs: Do we need another choice? I explore why simply migrating these on-prem data integration, management, and analytics platforms to the Cloud does not fully address modern data analytics needs. In comparing these three platforms, it becomes clear that all of…

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Data Lakes, Data Warehouses And Data Hubs – Do We Need Another Choice?
  • February 17, 2021

Data Lakes, Data Warehouses and Data Hubs – Do we need another choice?

Data Lakes, Data Warehouses, and Data Hubs - Do we need another choice? There’s a long-standing debate, dating back to the early days of Hadoop, about what kind of data repository is best for a given data analytics use case. A Data Lake? A Data Hub? A Data Warehouse? Despite Hadoop’s fall from grace,…

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Approaching Holistic Data Models For Organizational Efficiency
  • January 12, 2021

Approaching Holistic Data Models for Organizational Efficiency

Why model anything? There are many types of models with many types of usages, such as physical, scientific, mathematical, computer, concrete, communication, etc. The overall purpose is to define, support analysis and decisions, and to communicate or validate a system or perspective. Models can also be used to help speed things up or slow…

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Innovation And The Power Of Data
  • December 15, 2020

Innovation and the Power of Data

What is innovation? Innovation is doing something new that does not currently exist or something new that improves efficiency, effectiveness, cost, and/or creates a competitive advantage. A new method, process, product, or service can be considered an innovation. This also includes the integration of different markets with the utilization of a new product that…

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System Thinking To Run, Grow, And Transform The Business
  • December 11, 2020

System Thinking to Run, Grow, and Transform the Business

Systems thinking and the organization There are many ways to describe system thinking. We can say system thinking is a way of viewing or thinking about a system in terms of structure, patterns, cycles, and data exchanges. System thinking can also be thought of as a way of integrating a person into organizational flows…

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Turning Data Measurements, Metrics, And Performance Indicators Into Results
  • December 1, 2020

Turning Data Measurements, Metrics, and Performance Indicators into Results

Data is everywhere. There is data inside our organizations and outside. Some data is in the form of measurements. Measurements can be descriptive, predictive, or for diagnostic reasons. In either case, we measure to make decisions based on the quantity and quality of something. Measurements can give us actionable operational, tactical, and strategic metrics…

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What Is Enterprise Data Integration, And Why Does It Matter?
  • August 19, 2020

What is Enterprise Data Integration, and why does it Matter?

Enterprise Data Integration is the merging of data across two or more organizations.  This scenario is most commonly found when companies are going through mergers or acquisitions, and data from the two companies need to be brought together.  Other scenarios for Enterprise Data Integration are joint-partnerships (where two or more companies work together under…

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