You want to implement data democratization, so you deployed all the new tooling and data infrastructure. You have a data catalog to manage metadata and ensure data lineage and a data marketplace to enable data discovery and self-service analytics. You’ve invested in the latest technologies to enable full self-service operation. The data management architecture you […]
What Is Data Trust and Why Does It Matter?
A batch processing system fails on the eve of a company’s deadline for monthly reports, threatening the accuracy of its financials. One of the two systems powering the dashboard of a global supply chain company crashes, and a manager overbooks a transport ship because it displays inaccurate data, causing a costly delay in a customer’s […]
How to Regain Trust in Your Data: 5 Ways to Take the Fear Out of Data Management
“May you live in interesting times” is both a curse and a blessing. It’s a curse for those who fear what could go wrong, but it’s a blessing for those who look forward to changes with confidence. The same could be said of leveraging data. To be in that latter group, organizations need to be […]
Building a Common Data Language: How a Semantic Layer Drives Collaboration and Trust
The self-service analytics revolution was intended to free business users from IT chains. The idea was to break the IT bottleneck by allowing businesses to create their own data products. After all, businesses understand their respective domains better than anyone in IT could, and decentralizing the work of creating data products should theoretically increase the […]
Building Trust in the Digital Age: The Role of Data Verification
Data has famously been referred to as the “new oil,” powering the fifth industrial revolution. As our reliance on data-intensive sectors like finance, healthcare, and the Internet of Things (IoT) grows, the question of trust becomes paramount. Trust is a multifaceted issue when dealing with data and events, and one core component is data verification. […]
Dear Laura: Help! The Business Dislikes Our Data Warehouse
Click to learn more about author Laura Madsen. Welcome to the Dear Laura blog series! As I’ve been working to challenge the status quo on Data Governance – I get a lot of questions about how it will “really” work. I’ll be sharing these questions and answers via this DATAVERSITY® series. Last year I wrote […]
Can You Trust Your Data?
Click to learn more about author Craig Stewart. In order to be successful in today’s ultra-competitive business environment, companies must be committed to data. Data needs to truly be at the heart of every decision an organization makes, but this is easier said than done. There is an overwhelming amount of data in every organization. […]
Data Governance Can Create “Data Trusts” for Consumers in Organizations
Click to learn more about author Tejasvi Addagada. In the past few months, Firms have accelerated digital transformation across multiple journeys of on-boarding and servicing customers. This has been possible by integrating and aggregating Multi-sources as well as taming the ‘Data Swamps’ to deliver quality data. Platform Governance is the mantra to a healthy delivery of […]
Data Quality Then and Now: What’s the Difference?
Click to learn more about author Emily Washington. Each year we undergo significant transformation in the information technology (IT) industry. However, 2020 is a year for the history books. Evolution in IT usually happens organically. As priorities change, so do technologies, processes, people, and techniques. When the term “big data” became mainstream last decade, IT […]
Build a Culture of Trust to Tackle Data Privacy
Click to learn more about author Robert Brown. The raging debate over privacy has only gotten bigger in the wake of GDPR. Trust is now a competitive factor. How do businesses earn it? How do they keep data open, free and protected? The manifold issues stirred up by Data Privacy, related legislation, and the risks […]