News

Business intelligence data mining

• December 12, 2019 12 Dec'19

  Government IT pros: Hiring data scientists isn't an exact science

  There's no such thing as a data science unicorn, U.S. government experts caution. You'll need more than programmers and technical expertise on your data science team.

• October 08, 2019 08 Oct'19

  GoodData BI customers now able to use data on Amazon Redshift

  GoodData partners with Amazon Web Services to allow the vendor's users to store and manage their data in Amazon Redshift, a cloud data warehouse powered by AWS.

• September 24, 2019 24 Sep'19

  TigerGraph Cloud releases graph database as a service

  TigerGraph, a graph database vendor, now offers a native cloud database-as-a-service product with its newest release.

• August 23, 2019 23 Aug'19

  Museums and data: A powerful combination

  With more and more museums using data to inform their decision-making processes, visitors are reaping the benefits by enjoying a better user experience.

• August 02, 2019 02 Aug'19

  Data ethics issues create minefields for analytics teams

  Organizations have to map out ethical boundaries for data mining and analytics applications, according to participants in a roundtable discussion on data and ethics.

• May 15, 2019 15 May'19

  Qlik debuts free data literacy certification

  Qlik unveiled a free data literacy certification in the hopes of making people -- both customers and non-customers -- more data literate.

• March 23, 2018 23 Mar'18

  Cambridge Analytica-Facebook case shows need for ethical data mining

  Ethical data collection practices are becoming even more important, as cases like Cambridge Analytica's misuse of Facebook data challenge consumer trust in enterprise analytics.

• May 23, 2017 23 May'17

  Experts share must-have data science skills beyond coding and math

  Hiring a data scientist is hard enough given the shortage of candidates, but the subtle mix of skills required by the job can make hiring one even harder.

• March 08, 2017 08 Mar'17

  Analytics teams give data science applications real scientific rigor

  Data scientists at companies such as LinkedIn and Cisco are applying aspects of the scientific method to data mining and analysis initiatives to try to make sure they get valid results.

• February 28, 2017 28 Feb'17

  Successful data science process not simple to set up, sustain

  Data science teams face a mix of process and cultural challenges in organizations, according to experienced analytics managers who offer advice on how to overcome the hurdles.

• February 15, 2017 15 Feb'17

  Spark gives genomic data analysis applications a big data charge

  Scientific researchers need robust big data architectures to solve the challenges of mining and analyzing genomic data, and some say the Apache Spark engine is well-suited for the job.

• February 06, 2017 06 Feb'17

  Tools for predictive analytics took a hit in presidential election

  Tools for predictive analytics can help guide decision-making in companies and political campaigns, but the 2016 election showed that emotion is still a powerful factor for voters.

• February 06, 2017 06 Feb'17

  Don't learn lessons on predictive modeling techniques the hard way

  Deploying and using predictive modeling tools without heeding best practices doesn't guarantee analytics success, a fact that many analytics managers and election forecasters know all too well.

• July 08, 2016 08 Jul'16

  Mainstream Hadoop users zero in on business benefits of big data

  Selling business executives on the value of big data analytics applications is becoming a to-do list item for more IT managers who look to deploy Hadoop clusters in their organizations.

• July 07, 2016 07 Jul'16

  Data science as a service provides instant access to analysts

  Data scientists are in high demand, but in such scarce supply that some companies outsource their data for analysis. DataScience Inc. CEO Ian Swanson explains how it works.