Big data analytics

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.. See complete definition.

January 24, 2022 24 Jan'22
IBM offloads Watson Health business data, analytics

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 01 Jul'21
Eckerson Group unveils service to benchmark analytics

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 08 Jun'21
Domo streamlines embedded analytics platform

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 27 May'21
Utah agency tracks wildlife data with Google analytics tools

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

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

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
Predictive analytics in marketing: Achieving success

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

Weigh the pros and cons of technologies, products and projects you are considering.

What is predictive analytics? An enterprise guide

Predictive analytics is a form of advanced analytics that uses current and historical data to forecast activity, behavior and trends. Continue Reading
Benefits of predictive analytics for businesses

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
7 top predictive analytics use cases: Enterprise examples

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

Learn to apply best practices and optimize your operations.

Evaluate GPU vs. CPU for data analytics tasks

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
6 challenges of building predictive analytics models

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 and holistic business intelligence

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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10 big data challenges and how to address them

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
Overcoming the top 3 analytics adoption challenges

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
COVID-19 data resources for volunteering data scientists

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