Click to learn more about author Wayne Yaddow. The is the first part of a three part series. The links to Part 2 and Part 3 are at the bottom. Data warehousing (DW) and business intelligence (BI) projects are a high priority for many organizations who seek to empower more and better data-driven decisions and […]
Data Governance for Enterprises: Important Principles for Value Generation
Click to learn more about author Deepak Gupta. Data Governance has emerged as one of the top priorities for organizations across the globe. Given this reality, organizations are handling their data consistently to support business outcomes. So, what is Data Governance for enterprises, and why is it important? Data Governance is a set of laws […]
Metadata Repository Essential Use Cases
“Even though we’re working with very sophisticated Data Science resources, we still hear over and over, ‘I don’t even know what data is available,’” said Susan Swanson, the Senior Manager of Data Modeling and Architecture at Health Care Service Corporation (HCSC), an organization that offers regional health care coverage and services. Speaking at the DATAVERSITY® […]
The Impact of Data Growth on Enterprises
Click to learn more about author Ibrahim Surani. Data has changed the world we live in. Today, enterprises utilize data to introduce new business models, enhance customer experience, generate new revenue streams, create personalized services, and become more agile. This reliance is only increasing with time as the world experiences unprecedented data growth. This data […]
Maintaining Data Integrity During Integration
Click to learn more about author Ibrahim Surani Every organization integrates and shares data with multiple systems, processes, and individuals. With data being generated and consumed at unprecedented levels, the challenge is ensuring its integrity before it’s processed or fed into reporting and analytics databases. Consider a scenario, where you have to decide whether to […]
Data Quality is Not a Goal — It’s a Mindset!
Click to learn more about author Farah Kim. Although companies are insight-starved and are investing huge amounts of money in setting up data collection and storage infrastructure (tales of data lakes!), they are unable to formulate a Data Quality plan. In my experience working with enterprise-level clients, the reason behind this is simple — Data […]
Getting Ahead of Data Matching: Building the Right Strategies for Today and Tomorrow
Click to learn more about author Harald Smith. Every organization understands the importance of matching and connecting the same entities together (and the role of data quality capabilities to do so), but too often they take a limited view toward it, building data matching processes to address the situation in the moment but not taking […]
Cloud Adoption Underway? Get Your Data Quality in Check First
Click to learn more about author Harald Smith. There’s a tendency to view the cloud, with its promises of continuous delivery models and built-in advanced analytics, as a platform that will reveal fresh and important business insights simply by using it. This is only partially true: Certainly, many organizations have benefited from cloud use. But […]
Your Data Quality Situation is Unique (But it Really isn’t)
Click to learn more about author Kevin W. McCarthy. I’ve been involved in hundreds of Data Quality implementations. There is one thing every project has in common: The project team thinks their data is different than anything I might have seen before. To some extent that is true; each company has its own volumes of […]
Avoid Scandal: Don’t Let Your Data Maintenance Get Sloppy
Click to learn more about author Kristin McMahon. It’s well understood that data is critical to driving good business decisions, but it’s easy to forget that data also supports a number of other activities. Data is at the center of everything businesses do, and it’s also how potential customers are measuring their prospective vendors. Because of […]