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    #eWEEKchat March 13: Getting Relevance from Corporate Data

    Written by

    Chris Preimesberger
    Published March 11, 2019
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      eWEEK content and product recommendations are editorially independent. We may make money when you click on links to our partners. Learn More.

      On Wednesday, March 13, at 11 a.m. PST/2 p.m. EST/7 p.m. GMT, @eWEEKNews will host its monthly #eWEEKChat. The topic will be “Getting Relevance Out of Corporate Data.” It will be moderated by Chris Preimesberger, eWEEK’s editor in chief.

      Some quick facts:

      Topic: “Getting Relevance Out of Corporate Data”

      Date/time: March 13, 2019 @11a.m. PST/2 p.m. EST/7 p.m. GMT

      Hosted by: @eWEEKNews

      Moderator: Chris Preimesberger: @editingwhiz

      Special expert guest: Oracle Senior Data Strategist @PaulSonderegger will discuss what predictive analytics entails with @editingwhiz in this #eWEEKchat on @eWEEKNews.

      Tweetchat handle: You can use #eWEEKChat to follow/participate via Twitter itself, but it’s easier and more efficient to use the real-time chat room link at CrowdChat. Instructions are on that page.

      Enterprises Are Finding Out They Need Help

      More and more enterprises are finding that they need big-time assistance in interpreting all the data that is pouring into their storage coffers from customers, partners, websites, subscription data services, sensors and other streams.

      Thus, predictive analytics has emerged as one of the key tracks in this new-gen technology. These solutions—which typically encompass data mining, business intelligence and machine learning components—help organizations understand how to better focus research, development, marketing, maintenance, cybersecurity and numerous other tasks. Using statistical techniques and specialized algorithms, they provide insights and models that would otherwise fly beneath the radar, thus helping an enterprise understand conditions and allocate resources more effectively.

      According to research firm MarketsandMarkets, the global predictive analytics market is expected to grow from $4.56 billion in 2017 to $12.41 billion by 2022. It noted that, among other things, predictive analytics helps companies spot anomalies, anticipate events, use what-if-simulations and understand customer behavior. These tools are now used to address an array of diverse challenges revolving around financial matters, human behavior, supply chains and cybersecurity.

      Typically, predictive analytics involves a number of discrete steps: defining a project, assembling the relevant data, conducting the data analysis, applying statistics and modeling, deploying the predictive model and monitoring and validating the model to ensure that it is accurate and producing usable results. In the past, organizations often used separate tools for each of these tasks. However, the lines between different types of data science solutions has blurred.

      Why Taking a ‘Platform Approach’ to Analytics is a Hot Trend

      Yellowfin is an example of a young analytics provider that is taking a platform approach to automating data discovery and bringing out information that can be used to create insights. Those insights can improve the quality of analytics and surface the most relevant data to dashboards and reports, preventing businesses from making decisions based upon faulty premises.

      Businesses are also facing the challenge of how to interpret critical data and bring forth percent actionable insights. Many businesses have turned to external consultants, data scientists, and other high-dollar sources to navigate through all of the noise created by multiple data sets.

      Platforms like Yellowfin Signals can reduce the need for high-powered consultants by automatically reducing the incidence of data misinterpretation, making the analytical data gathering process more reliable.

      There are a number of other solutions in the market that warrant attention. eWEEK has been covering this sector for years; here is a list of articles on this topic.

      Oracle Sr. Data Strategist @PaulSonderegger will join us to discuss and define predictive analytics.

      Some of the questions we will ask on March 13 include:

      • Is your company currently using analytics to sift through business data and come up with relevant trends for management to consider?
      • Explain a use case deploying analytics that your company is currently using on a regular basis.
      • Where would you like to see analytics used in your business, where it currently is not being used?

      Join us March 13 at 11 a.m. Pacific/2 p.m. Eastern/7 p.m. GMT for 30 to 40 minutes. Chances are good that you’ll learn something valuable.

      #eWEEKchat 2019 Schedule: All Tweetchats start at 11 a.m. PT / 2 p.m. ET

      March 13: Getting Relevance out of Corporate Data
      April 10:  Where Are We Going to Store All This Data?
      May 8:  The Status of DevOps and Agile Development in 2019
      June 12: New Trends and Services in Network-Centric Security
      July 10:  How to Plan a New Data Center Development
      Aug. 14: Is Low- and No-Code Application Development Still Trendy?
      Sept. 11:  TBA
      Oct. 9: New Mobile Apps, Devices We Can Expect This Christmas
      Nov. 13:  New Tools for Enterprise Collaboration
      Dec. 11: Predictions and Wild Guesses for IT in 2020

      Chris Preimesberger
      Chris Preimesberger
      https://www.eweek.com/author/cpreimesberger/
      Chris J. Preimesberger is Editor Emeritus of eWEEK. In his 16 years and more than 5,000 articles at eWEEK, he distinguished himself in reporting and analysis of the business use of new-gen IT in a variety of sectors, including cloud computing, data center systems, storage, edge systems, security and others. In February 2017 and September 2018, Chris was named among the 250 most influential business journalists in the world (https://richtopia.com/inspirational-people/top-250-business-journalists/) by Richtopia, a UK research firm that used analytics to compile the ranking. He has won several national and regional awards for his work, including a 2011 Folio Award for a profile (https://www.eweek.com/cloud/marc-benioff-trend-seer-and-business-socialist/) of Salesforce founder/CEO Marc Benioff--the only time he has entered the competition. Previously, Chris was a founding editor of both IT Manager's Journal and DevX.com and was managing editor of Software Development magazine. He has been a stringer for the Associated Press since 1983 and resides in Silicon Valley.
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