Disparate, Dirty, Duplicated Data – Understanding the 3Ds of Bad Data.
In a world fascinated with the limitless opportunities of AI, ML, and predictive analysis, data quality has become a significant challenge. Businesses are on edge
In a world fascinated with the limitless opportunities of AI, ML, and predictive analysis, data quality has become a significant challenge. Businesses are on edge
Would you trust a skyscraper built on a cracked foundation? That’s the risk businesses take when they invest in BI and analytics programs without first
States across the U.S. are ramping up their data efforts in deploying statewide longitudinal data systems (SLDS) that contain information on public school students. The
While the world was celebrating the start of a new decade, a pandemic was lurking in the dark. Within months of the new year, the
Ever generated a report only to realize that most of your contact information’s email addresses are not valid? That’s a failed case of data validation.
If you’ve landed here, chances are you already know you want a 360-customer view for all the customer data in your organization. Cutting right to
Fewer than half (49%) of data practitioners have high trust in their data. The rest are navigating critical business decisions with incomplete, inconsistent, and inaccurate
Imagine sending out thousands of marketing materials only to discover that a significant portion never reaches its intended audience. The result? Wasted resources, missed opportunities,
Operational efficiency remains a key challenge for enterprise-level businesses, especially in an age when customers have very little patience and the competition is high. It
Do your banking officers or insurance agents still manually compare spreadsheets to make sense of data? Do you still have manual journal entries as part
It won’t be possible to give an overview of data management trends 2020 without conducting an analysis of the clients and the projects we worked
Most companies now understand that new technologies and applications must be implemented in order to upscale business operations. But implementing a data migration of a
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