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  • Building a Modern Data Team

    We will describe recent changes in modern data teams plus where these teams are headed. We’ll discuss trends and drivers for data team headcount, what skills are needed, reporting (central versus local) and internal team structures, and specialties within data management. August 12, 2020 view now

  • Emerging Trends for the Data-Centric Organization

    Learn about key data-centric trends, including the role of the citizen analyst and its emergence as the nontechnical data champion, the importance of educating and training for data awareness, the value of self-service, the changing role of IT, and why you need data governance. December 5, 2018 view now

  • Your First Hire in Predictive Analytics (Hint: It’s Not a Data Scientist)

    Many organizations are launching their first predictive analytics project and are not sure how or where to begin. With a great deal of hype around big data and data science, most companies understandably seek a data scientist with an extensive resume as their initial step. June 17, 2015 view now

  • Telling a Story with Data: Skills for Both Business and Technical Analysts

    Data and analytics are becoming more important than ever to businesses. However, the popularity of analytics is a double-edged sword when it comes to communicating results. Analytics professionals often fail to present results in a strong context and in a memorable, repeatable form. Some analysts have already turned to storytelling. Although results are often good, it also becomes clear that storytelling with data is both an art and a science. Its mastery improves with guidance. November 13, 2014 view now

  • How Data Science Is Changing the Way Companies Do Business

    Data scientists are a new type of analyst—part data engineer, part statistician, and part business analyst. And they're in high demand. Companies are combing through résumés and job websites, interviewing recent university grads, and poaching from their competitors in an effort to bring these new talents into their organizations. Of course, we’ve had statistical analysts in our organizations for years. Unfortunately, although these people are great at analyzing data, they are not always the best at explaining their findings to executives and business workers in understandable terms. July 17, 2014 view now

  • Business-Driven BI and Analytics

    Self-reliant and less dependent on IT, business executives and departmental/LOB managers and users are deploying the latest tools, services, and applications for business intelligence, analytics, and data discovery. Although IT is hardly disappearing from the picture, IT needs to adjust how it manages access to data sources and governs BI and analytics. Enterprise BI/DW systems also need to accommodate how users customize their BI and analytics as they see fit based on their roles. As BI and analytics tools become easier to use and more flexible, the trend toward business users directing their own BI and analytics experiences will accelerate. July 15, 2014 view now