Recent Work: Fern Halper

Fern Halper

Fern Halper, Ph.D.

Vice President and Senior Director of TDWI Research for advanced analytics

Fern Halper, Ph.D., is vice president and senior director of TDWI Research for advanced analytics. She is well known in the analytics community, having been published hundreds of times on data mining and information technology over the past 20 years. Halper is also co-author of several Dummies books on cloud computing and big data. She focuses on advanced analytics, including predictive analytics, social media analysis, text analytics, and big data analytics approaches. She has been a partner at industry analyst firm Hurwitz & Associates and a lead analyst for Bell Labs. Her Ph.D. is from Texas A&M University.



  • Analytics Everywhere: Building Analytics Applications for Driving Business Value

    Analytics has become mainstream, and TDWI research indicates that the vast majority of organizations have adopted technologies such as dashboards and visual analytics. However, as organizations mature along their analytics journey, they are looking to embed their analytics into devices, applications, and systems. Embedding analytics layers analytics into another application or process and brings the results of analysis to the decision maker through applications that run the business. The result is opening up analytics to more users and making analytics relevant, actionable, and more valuable. May 30, 2018 View Now

  • Building Trusted Data Through Deep Profiling and Analysis with Machine Learning

    Data environments are becoming increasingly complex. Many organizations are employing what TDWI terms a multiplatform data architecture to manage new and disparate data sources. This might include the data warehouse along with other platforms, such as a data lake or a streaming platform. The cloud might be an important part of this architecture as well. This data is often used to gain insights as organizations become more analytically sophisticated. In fact, analytics is the top driver for modern data architectures. March 28, 2018 View Now

  • Modernizing Your Data Pipeline for Better Analytics

    Organizations are excited about analyzing ever-increasing amounts of disparate data, and they are often looking at advanced analytics to do so. Underpinning this move toward better insight and action is an evolving data infrastructure that is multiplatform in nature. TDWI sees increasing interest in the cloud, streaming platforms, and data lakes to support diverse data types for analysis. These platforms and others are coming together in modern data architectures that enable analytics and drive analytics success. March 13, 2018 View Now

  • Making Predictive Analytics Work – 5 Keys to Successful Model Deployment and Management

    Organizations are excited about predictive analytics and machine learning for a number of reasons. Companies want to better understand customer behavior. They want to better predict failures in their infrastructure. The uses for predictive analytics are extensive and growing. February 8, 2018 View Now

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