News

News

• March 28, 2017 28 Mar'17

  Self-service BI and analytics tools face evolving set of challenges

  Self-service BI tools have become the go-to standard for business intelligence software, but users are pushing vendors to rethink how they address enterprise needs and advanced analytics.

• March 17, 2017 17 Mar'17

  Ease of use is top priority in selecting self-service analytics tools

  A lot of factors go into a choosing a strong, modern BI tool. But several users say ease of use trumped all other considerations for them in picking self-service software.

• 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.

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• February 13, 2017 13 Feb'17

  Enterprise Spark maturity is still a work in progress

  There's no doubt the maturity of Spark development for enterprises has come a long way, but it may still be too 'techy' for some businesses.

• February 06, 2017 06 Feb'17

  Data-driven business models lead the way forward

  Good instincts used to drive successful business strategies, but intuition just can't cut it in the age of big data.

• 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.

• January 11, 2017 11 Jan'17

  Lack of skills remains one of the biggest data science challenges

  Many enterprises are struggling with the complexity of today's big data and data science ecosystem, though they recognize the opportunity of emerging practices.

• December 23, 2016 23 Dec'16

  Not all machine learning and AI projects panned out in 2016

  Artificial intelligence applications were all the rage in 2016, but while some delivered impressive results, others didn't work quite as well as developers planned.

• December 22, 2016 22 Dec'16

  Events of 2016 put strain on predictive analytics algorithms

  The world started to seem like a less predictable place in 2016, and that should throw up caution flags to businesses that heavily leverage predictive analytics models.

• December 21, 2016 21 Dec'16

  Why 2017 is setting up to be the year of GPU chips in deep learning

  GPU technology, once primarily the domain of computer gamers, is getting new legs in systems that run deep learning and AI applications. Experts predict it will be a big part of analytics in 2017.

• November 23, 2016 23 Nov'16

  Business should work with IT to get self-service BI governance right

  Self-service analytics is all about getting IT roadblocks out of the way of the business, but traditional tech teams can still play a useful role in defining and implementing BI data governance best practices.

• November 18, 2016 18 Nov'16

  Data visualization plays an important role in a big data environment

  Enterprises are increasingly putting data visualization tools, like Tableau, at the top of their big data platforms to start making sense out of complex data.