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Data & Analytics

  • Mondelez Reveals Supply Chain Strategy, Details Progress

    Executives of Mondelez International have outlined the company's long-term growth strategy, as well as detailed its progress on expanding margins through supply chain reinvention and overhead cost-reduction initiatives.
  • The Importance of Big Data is Growing Exponentially: Do You Have "Who" it Takes?

    Today, business is being transformed by leveraging big data. It is much more than just analytics. There is a multitude of competitive advantages for leveraging big data, which includes your internal data, syndicated, social media and demographic/psychographic data. Let us start with a definition of big data.
  • 2015 Readers' Choice Survey: Demand Data Analytics

    CGT's readers rank the top technology providers of a point software solution or a software suite for the cleansing, analysis and integration of downstream data.
  • 2015 Readers' Choice Survey: Business Intelligence

    CGT's readers rank the top technology providers of a point solution or a software suite for business intelligence (BI), including analytics, data warehousing, etc.
  • Readers' Choice Survey 2015

    Now in its 15th year, CGT's readers voted for their top solution and service providers in 13 areas of investment opportunity. These short lists, and accompanying commentary from experts and analysts, can help guide decision makers in their quests to find innovative technology and service providers that deliver a competitive edge in the game for consumer loyalty.
  • @WalmartLabs to Define the Data Scientist

    At the second annual Retail and Consumer Goods Analytics Summit, @WalmartLabs will reveal the truths about the role of the data scientist.
  • Family Dollar A Collaborative Data Sharing Trailblazer

    Family Dollar and RSi team up to answer your most frequently asked questions about data sharing and the results of the 2014 Retailer/Supplier Shared Data Study from CGT.
  • Shedding Light on Retail Blind Spots

    If you could see what your shoppers are seeing, would you approach your in-store promotions in a different light? What if you could quantify that in-store information in a way that allowed you to predict future performance? Youd be able to determine the percentage of stores that feature a display, or what the in-store promotional environment looked like. This is a blind spot for many brands, and its easily fixedusing data.
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