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Do you care if your favorite brand of peanut butter is manufactured by a company with $100 million in revenue or from a large multi-billion dollar CPG company?

 

Consumers' expectations are the same — a deep understanding of their wants and preferences, personalized communications, through their desired channels, and above all a consistent experience — whether you are a smaller or midsized enterprise, or a large conglomerate.

 

Larger companies are addressing these consumer expectations by becoming more data and analytics savvy. They are employing all kinds of sophisticated analytics to better understand their customers, operations and competition; becoming more data-driven in their approach.

 

Many midsized organizations, on the other hand, are struggling to reach their aspired levels of analytic maturity — primarily because they selected analytical tools that are either "too big or complicated" for line-of-business users, or "too small and simplistic" to handle the volume and variety of data they have.

 

gartner-midsize-bi-370x208.pngGartner in a new research note, "How Successful Midsize Enterprise BI and Analytics Programs Deliver Business Value," offers industry best practices, peer benchmarks and recommended strategies for success to address the BI and analytics challenges specific to mid-market companies. The paper includes:

 

  • Points mid-market companies need to consider when developing an outcome-focused BI and analytics strategy
  • Key BI and analytics capabilities critical to delivering business value in the mid-market
  • Recommended solution deployment models to maximize accessibility and affordability

 

Download a complimentary copy of the report to learn which strategies mid-market leaders are deploying to get greater business value from their BI and analytics efforts.

 

Share your experiences. Send in your comments on what has worked for you and your organization when building analytic culture.

 

This article was originally written by Ritu Jain @RituJ