• Data and Analytics Strategy

    A structured approach to create a roadmap that fully enables analytic solutions to directly impact business priorities.


  • Gain Alignment Across Your Organization

    The business and IT organizations are often driven by different metrics and needs. This, combined with the fact that IT budgets tend to grow 2-3% annually, while the demand for analytics is growing at rates of 50% or more, there are several disconnects about how to move forward. Although both sides may have a vision, it is often unclear how IT initiatives directly support business transformation efforts. While IT projects are often cost-driven, business efforts are often revenue driven. Without bringing together these critical differences and sharing a vision about the how IT and business projects come together to address priorities, you will neither realize the full value from your data nor the full potential of your organization.

    Watch: A Brief Introduction

     

    Build a Roadmap to Drive Business Priorities

    You have to anticipate the future through predictive analysis, behavioral analysis, and active business intelligence. The ability to be effective requires several building blocks for success. A roadmap is the opportunity for customers to understand what building blocks are needed and how to realize the broader analytics needs. Without this perspective, resources will tend to react only to the issue of the day and will struggle to maintain the pace of day to day business

    Watch: The Analytic Roadmap Video

     

     

     

    Leverage Data for Business Value

    To be effective, a structured approach to align solutions directly to business priorities is critical. Understand that:

    • Data drives value when it is transformed into business information that is used to make decisions
    • Business priorities drive the enabling and supporting technology capabilities (not the other way around)
    • An underlying, planned architecture provides a foundation that can adapt to the immediate analytic requirements while enabling repeatable capabilities required to drive the business into the future

    By understanding business needs, solutions can be evaluated to determine the right information, applications and systems that will enable value

    Developing a Data Strategy: Seven Common Mistakes and How to Avoid Them White Paper