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• How Morgan Stanley scaled up Tableau self-service analytics

  Morgan Stanley wanted to empower users to make data-driven decisions. A Tableau analytics platform was the answer. The problem: introducing it to 30,000 users. Continue Reading

• Data silos can live or die by a self-service BI strategy

  Self-service BI is a driving force behind the reshaping or possible demise of data silos as we know them. Vendors address data governance and corporate attitude adjustments. Continue Reading

• Rules change for self-service BI subscription pricing models

  As self-service BI tools become commonplace, look for subscription pricing models to change according to the cloud, group data usage pricing and how people share their data. Continue Reading

• What data management challenges do analytics programs face?

  Expert Anne Marie Smith shares five reasons why organizations' analytics programs might fail and how a data management framework and other programs can help. Continue Reading

• 10 dos and don'ts for deploying self-service BI tools

  Self-service BI doesn't just happen. Organizations must ensure data quality and watch how analysts work. Experts offer 10 tips for enabling a self-service culture. Continue Reading

• 10 features to look for in visualization tools for big data

  Big data is meaningless if it isn't understandable. Experts explain why users need data visualization tools that offer embeddability, actionability and more.Continue Reading

• 6 big data visualization project ideas and tools

  These data visualization project examples and tools illustrate how enterprises are expanding the use of "data viz" tools to get a better look at big data.Continue Reading

• 10 tips for implementing visualization for big data projects

  Organizations need to keep users and design at the forefront when launching data visualization efforts, according to experts. Find out why colors and sizing matter.Continue Reading

• 3 ways to make machine learning in business more effective

  Dun & Bradstreet analytics exec Nipa Basu offers three tips on how to integrate machine learning tools into business processes to help drive better decision-making.Continue Reading

• What-if business planning simulation at its predictive best

  Simulating timely and accurate business scenarios can be an essential competitive weapon for predicting the performance, pitfalls and benefits of strategic initiatives.Continue Reading

• Data science teams use business ties to boost data knowledge

  To ensure that advanced analytics applications are relevant to business operations, data scientists are collaborating with workers who are experts on business data.Continue Reading

• Options arise for expanding data scientists' skills

  Data science programs aren't just for universities anymore. Now, data scientists can turn to massive open online courses, online texts and other resources to boost their skill sets.Continue Reading

• Four challenges to successful predictive analytics models

  Analyzing customer interactions to create a predictive analytics model isn't foolproof. Expert David Loshin shares four factors that could stymie your efforts.Continue Reading

• Streamlining predictive analytics in retail marketing

  Online flash-sale retailer Zulily uses BigQuery and Tableau to help power its predictive analytics, which, in turn, boosts its marketing efforts and ability to manage incoming data.Continue Reading

• Ten KPI templates for your dashboards

  KPIs help companies gauge success, but how do you choose the right metrics to create useful reports? Here you'll find 10 KPI examples to inspire your executive dashboards.Continue Reading