Click to learn more about author Kevin W. McCarthy. Let’s be honest, some of us have a negative opinion around Data Quality. It is something that takes a lot of time and effort, and may not be as exciting as data projects like analytics, personalization, or Data Science. Data Quality is typically one of those […]
The Importance of Data Governance in the Healthcare Industry Space
Click to learn more about author Asha Saxena. Analytics and Big Data are everywhere in the pharmaceutical industry providing insights into marketing, sales, clinical trials, claims data, patient demographics, physician engagement and much more. However, before delving into deep analytics, you must master the data, or the insights that you get will at best, be inaccurate, […]
Master Data: The Foundation of Digital Transformation
Click to learn more about video blogger Scott Taylor. The Data Rants video blog series begins with host Scott Taylor “The Data Whisperer.” The series covers some of the most prominent questions in Data Management such as Master Data, the difference between Master Data and MDM, “truth” versus “meaning” in data, and so much more. […]
The Armageddon That Wasn’t: GDPR One Year Later
Click to learn more about author W. Curtis Preston. If the first year’s existence of the GDPR has shown us anything, it’s that the European Commission is serious about its successful implementation. It levied over €56 million in fines against 91 companies – €50 million of that was against a single company. We can also […]
The 4Cs of Master Data: Deep Dive
Click to learn more about video blogger Scott Taylor. The Data Rants video blog series begins with host Scott Taylor “The Data Whisperer.” The series covers some of the most prominent questions in Data Management such as Master Data, the difference between Master Data and MDM, “truth” versus “meaning” in data, and so much more. […]
The Data Quality Dimension “Coverage” is the Most Prominent for AI Outcomes
Click to learn more about author Tejasvi Addagada. The first Data Quality challenge is most often the acquisition of right data for Machine Learning Enterprise Use cases. Wrong Data – Even though the business objective is clear, data scientists may not be able to find the right data to use as inputs to the ML service/algorithm […]
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 […]
The 4Cs of Master Data: Overview
Click to learn more about video blogger Scott Taylor. The Data Rants video blog series begins with host Scott Taylor “The Data Whisperer.” The series covers some of the most prominent questions in Data Management such as Master Data, the difference between Master Data and MDM, “truth” versus “meaning” in data, and so much more. […]
Data Quality & Data Governance can Maximize Your AI Outcomes
Click to learn more about author Tejasvi Addagada. Clean Data is a crucial need to get an outcome from Machine Learning capabilities. Scale and diversity in data is also another important aspect. How accurate is the data to give a usable outcome – is a major question? Accuracy What is easy to access – are the […]
Graphic Art Recordings at Enterprise Data World 2019
For the fourth year in a row, Hannah Sanford of Hannah Sanford Studios wowed the crowd at the Enterprise Data World Conference by graphically recording many of the key conference sessions. Her illustrations present a visual storyboard of the primary elements discussed during a given presentation, with the most important points detailed in a fascinating […]