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Business intelligence data mining News
September 22, 2021
Analytics strategies should include overarching organizational best practices blended with teams empowered to build interoperable data assets, according to one industry expert.
June 21, 2021
Collibra's roadmap is focused on adding more speed, with a plan in place to quadruple the amount of data customers can access and use by the end of 2022.
June 14, 2021
Political campaigns used to rely primarily on polls to inform decisions, but with advances in technology over the past 15 years they are now using advanced analytics techniques.
April 26, 2021
Though the first CDO was hired nearly 20 years ago, many organizations are only now beginning to realize the value of data and seek someone to oversee their data operations.
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Big data analytics is the often complex process of examining big data to uncover information -- such as hidden patterns, correlations, market trends and customer preferences -- that can help organizations make informed business decisions. Continue Reading
Sentiment analysis, also referred to as opinion mining, is an approach to natural language processing (NLP) that identifies the emotional tone behind a body of text. Continue Reading
Data science as a service (DSaaS) is a form of outsourcing that involves the delivery of information gleaned from advanced analytics applications run by data scientists at an outside company to corporate clients for their business use. Continue Reading
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Predictive analytics is a form of advanced analytics that uses current and historical data to forecast activity, behavior and trends. Continue Reading
Predictive analytics' ability to forecast the future based on patterns in past data can give businesses a huge edge. Read about how to use this advanced form of business analytics. Continue Reading
Analytics provides insight into the data today's businesses run on. Learn about the three main modes -- descriptive, prescriptive and predictive analytics -- and two variants. Continue Reading
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Data warehouses help companies gather analytics on individual systems and data for a holistic view of company performance, spot correlations and make informed decisions. Continue Reading
The data science process includes a set of steps that data scientists take to gather, prepare and analyze data and present the analytics results to business users. Continue Reading
This handbook provides advice on creating data catalogs to help data analysts and other users find information in corporate systems, plus insight on data catalog trends. Continue Reading
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In the ethical mining and analysis of data, governance, compliance and ethics are mistakenly taken as one in the same. Data managers need to be aware of the critical differences. Continue Reading
Having data scientists build analytical models doesn't do much for an organization if the models don't help generate business benefits. Here are some ways to make sure they do. Continue Reading
Big data environments based on technologies such as Hadoop and Spark are being deployed more widely -- and the same goes for advanced analytics tools that can help organizations make effective use of the data flooding into those systems. In fact, ... Continue Reading