AnalyticsAnalytics can challenge your organization. Data is so abundant that the complexity and confusion of it all can be overwhelming. When you sit down and try to analyze everything, you just don’t know where to start, or where to go. But Narendra Mulani, the senior managing director at Accenture Analytics has some sage advice: recognize what is important & what your analytics should be doing for every aspect of your organization.

If even that seems overwhelming, there’s one more step—simplify. “Pursue a simpler path to uncovering insight:”

1. Accelerate the Data: “Fast data = fast insight = fast outcomes.” When an environment is created that accelerates your data, your organization can manage that data much quicker. Getting the data you need in real-time improves many aspects of your business.

2. Delegate the work to your analytics technologies with

  • Next generation Business Intelligence & Data Visualization
  • Data discovery
  • Analytics applications
  • Machine learning and cognitive computing

3. Recognize that each path to data insight is unique. With data, elements are always changing and new obstacles come into play that challenge your data. There will always be new questions, and different answers that solve the dilemma of each question. “No matter what combination of culture and technology exists for a business, each path to analytics insight should be individually paved with an outcome-driven mindset.”

By taking these three steps, your analytics strategy will be simplified and so will the way your organization is run. It’s rare that simplicity can seem like it is enough, but with your big data and analytics processes, simple is beneficial.