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What's the best way to proceed with your project?

How do you know how long it will take, how much money to budget, how many people will be needed, and what third-party products should be purchased? Budgets are tight and you can't afford to make the wrong decisions. Assessments/audits ensure your project stays on track and delivers the highest ROI.

Whether your organization is starting a new BI endeavor or looking to evaluate an existing BI program, our assessment methodology will provide recommendations to deliver business return-on-investment (ROI).

What's the best investment for your business intelligence dollars?

An audit will ensure that your money is well spent as it answers such questions as:

  1. Is your business getting the information it needs to make informed decision, when it needs it?
  2. Are your current IT systems architected and deployed as effectively and efficiently as they should?
  3. Is your company using data shadow systems, and if so, what should you do about them?
  4. If you need a Big Data project, what's the best way to proceed?
  5. How long it will take?
  6. How much should you budget?
  7. How many people will you need?
  8. What third-party products will you need?

What to Expect During an Assessment or Audit

Our assessments and audits will examine your project from various angles to give us the most relevant information for your final recommendations. The areas we examine include:

  • Business requirements
  • Your business data
  • Your current data warehouse and business intelligence tools
  • The skills and experience of your IT staff, project team members and business group users
  • Architecture

Strategy Assessment Results

When the assessment is complete, we'll give you a list of recommendations based on where you are in the life-cycle process and the state of your current efforts. These recommendations may include:

  • Proposed scope and requirements
  • Risk assessment
  • Roles and responsibilities
  • Project team composition and skills (both business and IT)
  • Data warehouse/business intelligence strategy, approach, program and iteration phases
  • Technology short-list
  • Architecture approach (data, information, technology, product)
  • Project and resource plans