ANALYTIC AUDIT

Providing an Integrated View of Data, Analytics, and Requirements

Our analytic solutions are based the specific goals, objectives, and enterprise requirements of your organization and industry. Our methodology focuses on identifying the analytics that make the most optimal use of your data and then transforming those analytics into metrics and alerts that drive your initiatives, improve targeted business processes, and bring both top and bottom line benefits with a clear ROI for your organization.

The Analytics Audit forms the core of our methodology. The audit focuses on two key areas:

  • Analytic Requirements. What drives you or your customer’s business and what are the analytics needed to address those drivers?
  • Solution Requirements. What data (both the data itself as well as the collection processes), metrics, and ongoing analysis and business automation processes are required to deliver those answers?

Once this information is gathered and documented, an Analytics Roadmap that details the implementation, presentation, and delivery of your analytics as well as a software solution designed to meet those needs using the our Analytics Framework (PFA) is developed.

What the Audit Does

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The Analytics Audit gives you an integrated view of the analytics, data and requirements you are using to drive the business process (or processes) being studied today, and identifies how advanced custom analytics and real-time alerting can be used to meet or exceed your business requirements, as well as the technology required to accomplish this. The methodology we use is specifically designed to review existing data flows, technical capabilities, and analysis processes. All inputs are fully documented—ensuring a full picture of how operational data is used, what systems are in place and used to understand business issues, as well as what types of analysis are performed to understand key performance indicators such as sell-through rates, inventory, logistics, performance, and transportation management.

How the Audit Works

The audit is based on the following methodology:

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  1. Determine your analytics baseline:
    1. Review existing data and data flows, technical capabilities, and analysis processes.
    2. Document all inputs in a baseline report to show a full picture of how you use your data (such as operational, partner, etc.), what systems you have in place and use to understand business issues, as well as what types of analysis you perform to understand key performance indicators that drive your business decisions.

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  1. Perform a gap analysis between baseline and potential:
    1. Data Sources. Where is your data coming from? How is it being used today? What additional data do you need?
    2. Partner Capabilities. What kinds of data do you receive from your partners? Is the data clean? Is it provided on a timely basis? Can you work with your partner to get more useful data?
    3. Metrics and Reports. What metrics and reports do you use today? Are there additional reports or metrics that could be useful in order to optimize your business processes?
    4. Business Processes. What business processes do you have in place today? Are they adhered to? Are you missing critical processes or process checkpoints?
    5. Business Rules and Alerts. Do you have a set of business rules that trigger alerts? What are your notification, escalation, and resolution processes? Are there other rules and alerts that could help you efficiently manage your business operations?

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  1. Develop Analytics Roadmap:
    1. Using the gap analysis and baseline, identify where analytics and real-time alerting capabilities can be used to improve your business process.
    2. Document the infrastructure —in terms of technology, data collection and software—that will make channels more efficient and effective.
    3. Provide a detailed ROI on each recommendation in the roadmap.

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  1. Leveraging the recommendations in the Roadmap, implement a PatternBuilders’ hosted pilot implementation of the analytics road map developed on the PatternBuilders’ Analytics Framework.