MuleSoft, INC.

Data preparation News

View All News

Data preparation Get Started

Bring yourself up to speed with our introductory content

Evaluate Data preparation Vendors & Products

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

  • Google's cloud-based platform aims machine learning, AI at enterprise

    Google's enterprise cloud platform is starting to become a factor in business IT thanks to strong data preparation, machine learning and AI capabilities. Continue Reading

  • When predictive analytics models produce false outcomes

    Predictions are very difficult, especially when they're about the future. Whether attributed in part or whole to Nobel physicist Niels Bohr or Hall of Fame catcher Yogi Berra, at no time was that prescient observation more applicable than in predicting the outcome of the 2016 presidential election.

    The cover story of Business Information's February issue examines some of the hard lessons that, in retrospect, need to be applied when it comes to building and running predictive analytics models, be it in the political realm or the business world. Those lessons include working with high-quality data, measuring the right information, and making sure predictive models reflect reality and not wishful thinking.

    In another feature, we look at a critical first step in ensuring that predictive analytics models yield valid outcomes. The proper preparation of data -- a process made more complex with the proliferation of big data and the expansion of predictive analytics applications to leverage it -- requires new tools and techniques.

    Also in this issue, learn how the self-proclaimed "CRM and analytics czar" of pro basketball's Charlotte Hornets convinced team ownership to invest in Phizzle FanTracker, which helped combine millions of fan records into accurate, up-to-date, individual fan profiles.

     Continue Reading

  • Machine learning projects face data prep, model building hurdles

    IT and analytics managers discuss the biggest challenges of machine learning applications, with data preparation and development of algorithm-driven analytical models sharing top billing. Continue Reading

View All Evaluate

Manage Data preparation

Learn to apply best practices and optimize your operations.

View All Manage

Problem Solve Data preparation Issues

We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.