Tag "Data Management"

Rein in Improper Government Payments With Data Management

Improper payments have been a growing challenge for government entities as they work to support citizens in times of crisis. In 2019, over $175 billion in improper payments were issued by the Federal Government. That’s a 15% increase from 2018. Underlying factors around improper payments are not always due to fraud—inaccurate citizen data, coding errors,... more

Data Quality Is Central to All Data Integration Projects

When doing some research for this article I came across the following quote from TDWI in 2006: “Profiling, data quality, and data integration are three business practices that go together like bread, butter, and jam. . . data management professionals and their business counterparts need to coordinate efforts and design projects that integrate all three... more

AI-Powered Data Management Is the Key to Vaccine Discovery

As pharmaceutical and clinical research organizations around the world race to discover and inoculate the global population with a vaccine for COVID-19, artificial intelligence (AI) will play a key role in ensuring that trustworthy, relevant, and timely drug-discovery data can be used to understand and eradicate this global threat. Drug discovery has traditionally been a... more

Delivering Cloud-Native, Enterprise-Grade Data Lakehouses on Amazon Web Services

“Water, water everywhere, nor any drop to drink.” This famous line from Samuel Taylor Coleridge’s poem The Rime of the Ancient Mariner is spoken by a sailor on a stranded ship who is surrounded by saltwater that he cannot drink.What does this have to do with a cloud data lakehouse? Simply put, it’s all about... more

Setting the Foundation for Enterprise Cloud Data Warehouses—Part 1

As the founder of modern management, Peter Drucker, once said, “If you can’t measure, you can’t improve it.” In an effort to modernize their enterprise data and analytics systems, many businesses are considering moving to cloud-based enterprise data warehouses. But to get there, they face challenges around legacy data and increases in disparate data sources, as well as in data volume, velocity, and integration silos.... more

Sensitive Data Management—Are You Prepared?

Today’s data-driven organizations are on a data privacy governance journey—whether they realize it or not. So, what does that mean? More importantly, what kind of impact will it have on your organization? Businesses that use sensitive, personal data to help drive customer relationships and digital transformation programs are seeing a veritable rain cloud of new... more

Data is King for State and Municipal Government Crisis Response

State and municipal governments are struggling with a data deluge now more than ever. As they grapple with the multitude of data sources now available to draw from to successfully manage the ongoing COVID-19 crisis, they are discovering large gaps in their ability to holistically leverage this data for their desired outcomes. Using spreadsheets and... more

Financial Institutions and Data: Now Is the Time to Address Your Data Management and Governance Gaps

Like most industries, financial services companies are working feverishly to keep their employees and customers safe, ramp up their ability to support remote access for stay-at-home employees, and ensure existing customers have access to their accounts and key services during this time of need. Business and technology leaders are revisiting and reprioritizing where to invest... more

Data Governance vs. Data Management: What’s the Difference?

I’m often asked if there is a difference between data governance and data management. The answer is yes—but they are related.   Data governance is the definition of organizational structures, data owners, policies, rules, process, business terms, and metrics for the end-to-end lifecycle of data (collection, storage, use, protection, archiving, and deletion). Data management is... more