What is DataOps?
DataOps is the use of agile development practices to create, deliver, and optimize data products, quickly and cost-effectively. DataOps is practiced by modern data teams,...
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Unlocking e-commerce growth for CPG with data and analytics
CPG opportunities in the new normal The COVID-19 pandemic has compelled businesses to shift to virtual marketplaces and CPG has been no different. Consumers are increasin...
Best practices of Data Cleansing
Data Accuracy: Data accuracy is the biggest challenge for many businesses, having accurate data is useful in all its stages to use. Data results in inaccuracies when it i...
Why Data Cleansing is Must for Predictive Modeling?
Image Source: istockphoto Wouldn’t it be nice to have a sneak-peek into the future of your business to make informed decisions and eliminate guesswork? With the help of...
Master Your ML/AI Success with Enterprise Data Management
Advanced analytics, in particular analytics that takes advantage of Machine Learning and Artificial Intelligence (ML/AI), have become established mainstream business init...
Why Augmented Data Analytics is the Future of Business Intelligence?
We exist in a world where data is everywhere, not just data but an augmented data. Digging through this data is challenging but enforceable with the right tools. Today, a...
Why Is Database Backup Testing Important For Your Business
Data is the lifeline of every business, and it is invaluable for your past, present, and future business decisions. Irrespective of the size of your organization you need...
Get to Know about the Big Data Analytics in eLearning
Big data analytics is concerned with examining data to uncover correlations, hidden patterns, customer preferences and market trends that can enhance decision-making. Peo...
9 Tips to Effectively Manage and Analyze Big Data in eLearning
Big data is becoming a much-talked-about phenomenon across different fields, from marketing to IT. There’s an abundance of information on mining data resources, but the...
Benefits of Data Integration
Data integration involves combining the organization’s data from different sources to create one usable consolidated stream of data. When well-executed, data integratio...