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Predictive analytics

• Give your predictive analytics projects a business reality check

  Predictive modeling is great for optimizing operations to the current business environment, but a Harvard professor says its value diminishes in the face of disruptive innovation. Continue Reading

• Balance required between big data volume, analytics needs

  Many businesses implementing big data analytics applications focus on the size of their data sets, when what they should really focus on is whether they have the right data. Continue Reading

• Social media analysis has promise -- but also pitfalls to avoid

  Social media analytics can give businesses a better idea of what customers think about them, but there are some common challenges to be aware of before getting started on projects. Continue Reading

• What factors are driving the growth of data journalism?

  In this edition of Talking Data, our experts discuss why some of the same factors at play in data science are influencing data journalism, a new brand of reporting that values fact and measurement over conjecture and anecdote. Continue Reading

• data journalism

  Data journalism in an approach to writing for the public in which the journalist analyzes large data sets to identify potential news stories. Continue Reading

• Definitions to Get Started

  • association rules (in data mining)
  • big data analytics
  • data sampling
  • unstructured data

  • predictive analytics
  • data preparation
  • advanced analytics
  • customer analytics (customer data analytics)

  View All Definitions

• Take your data analysis skills to the next level

  Regardless of what industry you work in, you are likely to be left behind if you lack basic analytical skills. Taking a proactive approach may end up saving you time -- and a hassle – further down the line.Continue Reading

• Talking Data podcast: Predictive modeling techniques

  Predictive modeling is more than a math problem. This Talking Data podcast looks at it from the business and technology perspectives.Continue Reading

• R language finds its way into commercial analytics applications

  The scripting language was once relegated to academic stats labs but is now branching out into business analytics uses. Limitations remain, though.Continue Reading

• Close the deal on using CRM analysis to boost customer knowledge

  Customer relationship analysis holds the key to improved marketing and customer engagement. But it starts with having the right tools and skills.Continue Reading

• The buzz: Uplift modeling could have strong upside

  Uplift modeling programs can be labor-intensive and tricky without the expertise of an experienced marketing team.Continue Reading

• Operational analytics: Delivering insights on the fly

  As organizations recognize the benefits of providing their employees with access to real-time data, operational analytics is gaining acceptance in the marketplace. This report examines the market trends for implementing operational analytics. Based ...Continue Reading

• Quiz: Creating effective predictive analytics programs

  Take this brief quiz to test your knowledge of predictive analytics and what is needed to implement successful predictive modeling processes.Continue Reading

• Uplift modeling reshapes the art, and science, of customer persuasion

  Uplift modeling is helping leading-edge marketers and political campaigners to more precisely target the "persuadable" members of their audience.Continue Reading

• Structuring a big data strategy

  Complex data stores are a currency for organizations that can cut through the noise with a big data strategy that delivers quality business insights.Continue Reading

• Quiz: Managing 'big data' applications, systems and usage

  After listening to Mark Smith's BI University webcasts, test yourself to see how well you've retained his key points and recommendations about effective management and use of "big data."Continue Reading