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Learn to apply best practices and optimize your operations.

• 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

• Data visualization process demands smart design, accurate data

  Well-designed data visualizations can enable executives to make more-informed business decisions, increasing the potential ROI of BI and analytics applications.Continue Reading

• Seven good data visualization practices for visual integrity

  Data visualizations need visual integrity to ensure that the data they present can be interpreted correctly. Follow these design steps to help make visualizations trustworthy.Continue Reading

• Rethinking analytics processes spurs enterprise innovation

  By taking a fresh look at the makeup of their analytics organizations, enterprises can innovate their business models and take advantage of digital disruption.Continue Reading

• Diversified data sets for analytics deliver top results

  Analytics teams should focus on data diversity to ensure that their projects deliver the most meaningful insights -- but they must be wary of some stumbling blocks.Continue Reading

• How to boost the value of BI in today's analytics landscape

  Basic BI reporting still gives businesses valuable information. But its value can be increased by incorporating it into a broader analytics and data visualization platform.Continue Reading

• New Qlik CEO Mike Capone outlines his business strategy

  Mike Capone, Qlik's new CEO, discusses recent layoffs and says the company needs to be more aggressive about touting its successes to avoid falling behind in the self-service BI market.Continue Reading

• Newest AI technology set to disrupt tech sector, job markets

  Emerging AI technology will lead to the creation of influential new software companies and disrupt job markets, says a Goldman Sachs researcher -- predictions that are discussed here.Continue Reading

• Qlik Sense vs. QlikView: How the two Qlik tools compare

  The differences between the two main Qlik software offerings may be small, but there are still some key considerations for potential customers to weigh.Continue Reading