Category Archives for Data Quality
Why get AI-adapted? + Seriously COOL AI TOOLS🚀
Lost like a penguin in a vast never-ending desert when it comes to incorporating AI into your business? Or you’re wondering if AI is even worth all the hype? In this blog, we’ll be revealing why AI is worth every ounce of hype and showcasing our favorite tools. Plus, we’ve got the resources to help you […]
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Data Transformers Podcast
The wait is over! The DataTransformers podcast is now live on iTunes or your favorite podcast player. My co-host Peggy Tsai and I are very happy to launch the Data Transformers podcast with the goal to accelerate digital transformation by bridging the gap between business goals and technology initiatives using Data as glue. With the rapid advancement […]
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Life Of A Byte
Hi, my name is Brontobyte and this is my story of how I grew up from a Byte, to Megabyte, to Gigabyte, to Brontobyte. I was born possibly in 1956 to unknown parents at an undisclosed place. All I know about my birth is that my Godfather Mr. Werner Buchholz from IBM gave me my […]
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25 Must Know Big Data Terms
Big Data can be intimidating! If you are new to Big Data, please read ‘What is Big Data’, ‘Who coined Big Data’ to get you started. With the basic concepts under your belt, let’s focus on some key terms to impress your date or boss or family. By the way, I am putting together a much […]
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Master Data Management (MDM) Key Definitions
Master Data Management (MDM) as a practice has been around for at least a decade but still there is plenty of confusion about what it means and why it is important. It is important to get grounded on what is Master Data and what is Master Data Management (MDM) before we dig into why it […]
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Data Quality Framework
Much has been written about Data Quality (DQ) in the broader context of Data / Information Management and most of the practitioners can recite it’s dimensions (accuracy, completeness, timeliness, uniqueness, consistency, timeliness etc.), DQ assessment / profiling, and step-by-step approach to enhancing DQ. Unlike, Data Governance though, there hasn’t been much about Data Quality Framework […]
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Data Quality – Simple 6 Step Process
We all heard of many horrors of poor data quality. Companies with millions of records with “(000)000-0000” as customer contact numbers, “99/99/99” as date of purchase, 12 different gender values, shipping addresses with no state information etc. The cost of ‘dirty data’ to enterprise and organizations is real. For example, US Postal Service estimated that […]
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