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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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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
Data mining is the process of sorting through large data sets to identify patterns and relationships that can help solve business problems through data analysis. Continue Reading
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Data scientists engage in various applications to analyze data and create technologies. These are eight common ones, with examples from different organizations and industries. Continue Reading
Data science teams typically include various analytics and data professionals and can be set up in different ways, as explained here along with tips on managing them. Continue Reading
Data science is the process of using advanced analytics techniques and scientific principles to analyze data and extract valuable information for business decision-making, strategic planning and other uses. 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