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Big data analytics News
January 24, 2022
IBM Watson Health assets acquired by Francisco Partners include extensive data sets and software, marking an end to IBM's efforts in the healthcare tech industry.
July 01, 2021
Consulting firm Eckerson Group recently developed an assessment for the insurance industry to help companies compare their analytics programs with their peers.
June 08, 2021
The vendor released a new version of Domo Everywhere, streamlining the embedded BI platform to make it easier to develop and distribute applications.
May 27, 2021
Tools from the Google Cloud Platform enabled the Utah Division of Wildlife Resources to manage the growing amount of data that overwhelmed its on-premises system.
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Logistic regression is a statistical analysis method to predict a binary outcome, such as yes or no, based on prior observations of a data set. Continue Reading
Big data is a combination of structured, semistructured and unstructured data collected by organizations that can be mined for information and used in machine learning projects, predictive modeling and other advanced analytics applications. Continue Reading
The use of predictive analytics in marketing is transforming how companies sell to customers, but the learning curve can be steep. Here's what you need to know to be successful. 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
Across industries, companies are using predictive analytics to forecast future trends and actions. Learn about the most popular use cases for predictive analytics in 2022. Continue Reading
Manage Big data analytics
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As data analytics becomes more commonplace, you might wonder what processor best suits such complex tasks. The CPU and GPU specialize in different tasks but excel together. Continue Reading
The use of predictive analytics in marketing can bring benefits companywide. But building a good predictive analytics model is not trivial. Here are six challenges. Continue Reading
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
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Bringing a big data initiative to fruition requires an array of data skills and best practices. Here are 10 big data challenges enterprises must be ready for. Continue Reading
Analytics is a growing part of many businesses. Experts talk about some of the most pressing challenges enterprises may face when implementing new analytics strategies. Continue Reading
Many data scientist are looking to research the novel coronavirus and ways to fight the continued outbreak. Read on for the top COVID-19 data resources for volunteer researchers. Continue Reading