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Business intelligence data mining News
September 16, 2020
Polls and predictive analytics models are improved in 2020 after the failure to accurately predict the outcome of the 2016 election, but surprises still may loom.
August 21, 2020
Behavioral analytics tell more about a person's true self than consumer data, according to Gravy Analytics CEO Jeff White, and are therefore key to data-driven decisions.
June 04, 2020
The COVID-19 crisis could hurt the 2020 census by making it impossible for the Census Bureau to collect data by going door-to-door.
January 31, 2020
Joe Hellerstein, co-founder and CSO of Trifacta, talks about data wrangling and the ongoing trend of migration to the cloud, among other data management topics.
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Text mining is the process of exploring and analyzing large amounts of unstructured text data aided by software that can identify concepts, patterns, topics, keywords and other attributes in the data. Continue Reading
Data mining is the process of sorting through large data sets to identify patterns and establish relationships to solve problems through data analysis. Continue Reading
Association rules are 'if-then' statements, that help to show the probability of relationships between data items, within large data sets in various types of databases. Continue Reading
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To help you buy the right BI tool for your data analysis needs, here's a look at 20 leading technologies, the different types of BI software and key features to look for. Continue Reading
New regulations have put data privacy top of mind for many consumers. Here's a look at how businesses can incorporate ethical data collection -- and even benefit from it. Continue Reading
Data modeling platforms are starting to incorporate features to automate data-handling processes, but IT must still address entity resolution, data normalization and governance. Continue Reading
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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
Data catalogs for analytics applications demand detailed assessment of user needs, cross-functional teams, ready access, continuous improvement and a self-sustaining system. Continue Reading
BI vendors are increasingly using NLP technology to make their products work more like a web search, with simplified user interfaces and improved ease of use for customers. 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