Continuous data quality monitoring using AI and ML
In today’s world, we are doing more of the traditional data management practices. The process of connecting people, processes, and technologies by creating governan...
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A window of opportunity for data democracy (Part III of III)
Every organization has to prepare for the abandonment of everything it does. Peter Drucker In this series, Ive been describing a data democracy thats...
Reframing the CXO Conversation: From “Data Monetization” to “Value Creation”
As data becomes the ubiquitous source of economic value creation, organizations need an end-to-end data-driven value creation lifecycle that speaks to and aligns ...
How Big Data and Geolocation Solutions Can Help Your Business
The modern age market is decidedly lucrative for businesses and customers alike. However, things are a tad different for businesses on account of the competition in the m...
Big Data Analytics: How it Enables Digital Transformation
The digital way of life is no longer a distant dream but our current reality and it has served everyone well too. For businesses, especially, it has far-reaching conseque...
Data-Driven Manufacturing: A Quick Guide
Manufacturing is a highly intricate process, especially in todays day and age, where countless different factors must be considered before an efficient manufacturing ...
SAP BW Data Mining Analytics: Clustering Reporting (Part 4, final)
Summary Clustering analysis is another standard method available with SAP BW Data Mining. The clustering models based on this method may apply various combinations of par...
A window of opportunity for data democracy (Part II of III)
publicdomainpictures.net Part I of this series described the data feudalism we currently have, why we have it, and how it might be possible for at least some of us to esc...
PyHard – A tool to assess dataset quality and identify hard-to-classify instances in general
Picture Courtesy: Freepik The article explains the algorithm behind the recently introduced Python package named PyHard, based on the concept of Instance Space Analysis. ...
Data Quality Focused Data Pipelines
Data quality is critical in any web scraping or data integration project. Data-driven businesses rely on customer data, it helps their products, provides valuable insight...