When the United States and the European Commission together announced a new Trans-Atlantic Data Privacy Framework earlier this year, the news didn’t raise too many eyebrows. After all, there’s nothing particularly objectionable about the new framework – the goal is to “foster trans-Atlantic data flows” and address concerns about the underlying EU-U.S. Privacy Shield framework, and who […]
Data Architecture Challenges
The more your business grows, the more complex your business’s Data Architecture becomes. Enterprise Data Architecture challenges abound – from the beginning and throughout the journey. Data has now become the lifeblood of any business, and business data cannot survive without a solid underlying Data Architecture. Data helps businesses to identify risks and opportunities, understand […]
Best Practices for Managing a Data Fabric
When data is not viable for integration across systems and processes, business users will seldom have the right coverage of data. If people lack knowledge about data and its importance logically, it often becomes a challenge, which leads to less impactful decisions. A data fabric is an architectural capability that can give organizations a “data […]
The Rise of the Semantic Layer
Cloud giants like Google and Snowflake, unicorns like dbt Labs, and a host of venture-backed startups are now talking about a critical new layer in the data and analytics stack. Some call it a “metrics layer,” or a “metrics hub” or “headless BI,” but most call it a “semantic layer.” I prefer to call it a “semantic layer” because it best describes a business-friendly interface […]
The Evolution of Data Virtualization: From Data Integration to Data Management
Data virtualization was first introduced two decades ago. Since then, the technology has evolved considerably, and the data virtualization of yesterday bears little resemblance to the data virtualization of today. This is due to several facts beginning with the limitations of legacy infrastructure, the massive amounts of structured and unstructured data that organizations were collecting, […]
Integrating a Data Governance Program in Your Organization
Integrating a Data Governance program into an organization not only means adding some software, but more dramatically, it means changing the workplace culture. Data Governance broadly describes the policies and procedures used to collect, organize, and manage data. It supports improved data analytics, which, in turn, promotes better operations management and better decision-making. Data Governance […]
The Ideal Data Fabric Architecture for Business Transformation
Data fabric is redefining enterprise data management by connecting distributed data sources, offering speedy data access, and strengthening data quality and governance. Many enterprises are already extracting business-relevant intelligence by putting their data to work through an efficient data fabric architecture. This article gives an expert outlook on the key ingredients that go into building […]
Data Management 101
Data has the potential to provide useful and necessary information when making important business decisions. To ensure management and staff have the right data for decision-making, companies must invest in Data Management solutions that improve visibility, reliability, security, and scalability. In today’s digital economy, organizations are collecting and accessing massive amounts of data. Storing accurate, […]
How Does Data Management Drive Efficiency for Organizations?
Data-driven analytics continue to deliver sophisticated solutions for manufacturing efficiency, early disease detection, and smart capabilities building in workplaces. Thus, industry operators and leaders continue raise their expectations and demands from data technologies with every passing year. Brent Gleeson of Forbes, who regularly contributes about organizational excellence, warns that in spite of having the best […]
Top 10 Essentials for Modern Data Integration
Data integration challenges are becoming more difficult as the volume of data available to large organizations continues to increase. Business leaders clearly understand that their data is of critical value but the volume, velocity, and variety of data available today is daunting. Faced with these challenges, companies are looking for solutions with a scalable, high-performing […]