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.

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.
May 18, 2021 18 May'21
SAS analytics platform adds native support for AWS, GCP

SAS unveils cloud-native support for AWS and Google Cloud during SAS Global Forum, the vendor's virtual user conference. SAS introduced similar support for Microsoft Azure in 2020.

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Successful digital transformation strategies start with data

Data has become a natural resource essential to business ops. Companies need to consider four digital transformation elements when developing strategies to harness data. Continue Reading
data exploration

Data exploration is the first step in data analysis involving the use of data visualization tools and statistical techniques to uncover data set characteristics and initial patterns. Continue Reading
ad hoc analysis

Ad hoc analysis is a business intelligence (BI) process designed to answer specific business questions by using company data from various sources. A report helps stakeholders assess an event and formulate actionable next steps. Continue Reading

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

Does hiring a freelance data scientist make sense for you?

Enterprises need to make the right hiring choices when it comes to supporting their data projects. Here are some reasons your company may or may not consider hiring a freelancer. Continue Reading
The top augmented analytics tools vendors are offering

From natural language querying to automated data preparation, augmented analytics are key capabilities for the top BI platforms. Read on to see what popular vendors are offering. Continue Reading
The ultimate guide to big data for businesses

Big data is the fuel for today's analytics applications. This in-depth big data guide explains how businesses can benefit from it and what they need to do to use it effectively. Continue Reading

Learn to apply best practices and optimize your operations.

Top trends in big data for 2021 and beyond

Big data is driving changes in how organizations process, store and analyze data. The benefits are spurring even more innovation. Here are four big trends. Continue Reading
Building a big data architecture: Core components, best practices

To process the infinite volume and variety of data collected from multiple sources, most enterprises need to get with the program and build a multilayered big data architecture. Continue Reading
Why using graph analytics for big data is on the rise

Graph analytics is being used across industries for different reasons. Read on to see how they can improve organizational decision-making, network analysis, production and more. 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