Click to learn more about author Oksana Sokolovsky and Rohit Mahajan. With the Big Data market and its seminal technology, Hadoop, each about a decade old, enterprise customers need answers to important questions about the Big Data ecosystem health and state of adoption. The ecosystem is maturing. What does this mean for Hadoop, Big Data […]
The Benefits of Master Data
Click to learn more about video blogger Scott Taylor. The Data Rants video blog series continues with host Scott Taylor “The Data Whisperer.” The series covers some of the most prominent questions in Data Management such as Master Data, the difference between Master Data and MDM, “truth” versus “meaning” in data, and so much more. […]
You Want Control of Your Data, But What Does That Really Mean?
Click to learn more about author Kevin W. McCarthy. An interesting trend has started in Data Quality. Data Quality has lost its cachet (if it ever had it), and is quickly being overshadowed by the concept of “Data Control”. Data Quality is often thought of as a backroom activity, relegated to IT, and just another […]
Data Governance for Leaders: Turn Data Strategy into Actions
Click to learn more about author Usama Shamma. Data is everywhere, with IoT and the growing interconnectivity of the different data feeds, data sources, channels, and data consumers, the need for Data Governance controls guided by a Data Strategy are highly arise to support business decisions and fulfill compliance requirements such as European General Data […]
What is Master Data and Why Organizations Need It?
Click to learn more about video blogger Scott Taylor. The Data Rants video blog series begins with host Scott Taylor “The Data Whisperer.” The series covers some of the most prominent questions in Data Management such as Master Data, the difference between Master Data and MDM, “truth” versus “meaning” in data, and so much more. […]
Solving Knowledge Graph Data Prep with Standards
Click to learn more about author Dr. Jans Aasman. There’s a general consensus throughout the data ecosystem that Data Preparation is the most substantial barrier to capitalizing on data-driven processes. Whether organizations are embarking on Data Science initiatives or simply feeding any assortment of enterprise applications, the cleansing, classifying, mapping, modeling, transforming, and integrating of data […]
Data Quality: Naughty or Nice?
Click to learn more about author Kevin W. McCarthy. Just in time for the holidays, I put together my first annual “Data Quality: Naughty or Nice” list. For your average person, Data Quality can be a really dry topic. When you start talking about consolidating customer records (checking that Jon Smith and J Smith are […]
How an Agile Approach Can Help Solve Your Data Problems
Click to learn more about author Mark Marinelli. Think of your current Data Management process. Is it effective? Are you able to get reliable data you need to carry out business functions served up to you in a timely, actionable manner? Today’s Data Challenge Businesses today face an ongoing data mastering challenge. Too many organizations […]
Monetizing Information? Show Me Your Data Model
Click to learn more about author Thomas Frisendal. I recently (finally) had the opportunity to read Doug Laney’s fine book about Infonomics. I have followed his work on this for years, because we share the ambition that data and information should be recognized as assets, just like factory equipment and trucks. Because data keep the […]
NPI Plus MDM Yields Omnichannel Success
Click to learn more about author Bruck Assefa. New product development and introduction requires the collaborative participation of different departments, often working in parallel. New product introductions (NPI) often represent a make-or-break opportunity for manufacturers and brands, especially in younger companies. Yet the statistics on NPI success are daunting — recent studies from LNS Research highlight […]