IMPLEMENTING STANDARDS TO BUILD EFFECTIVE ANALYTICS

The framework you need so you and your team can move fast.

What makes building and implementing analytics so difficult?

Designing, building, and implementing analytics products can include enormous ambiguity, resource dedication, and potentially, disappointing results. Setting proper expectations and success metrics is critical to getting the most out of your investment. The right people, processes, and technologies are all factors in executing successfully and achieving your desired results.

 

Challenges

  • Unstructured Technology & Solution Proof of Concepts

  • Lack of Experimentation Process

  • Loosely Defined Business Objectives

  • Lack of Clarity on Requirements & Risks

Solutions

  • Define Your Desired Outcome

  • Identify Your Success Metrics to Track

  • Gather Requirements

  • Start with Simple & Run Structured Experiments to Measure

  • Evaluate Your Potential Solutions

Analytics Framework

Analytics solutions can be broken down into a few phases and typically include a team consisting of business owners, data scientists, analysts, product managers, data engineers, and architects. Once a process is established, teams can work quickly to identify the feasible opportunities where analytics can have a positive impact on their business. Using the right methods and tools can make this process much more efficient and effective.

Diagram.png

Consulting Services


Analytics Process Assessment

 

The process to go from concept to insight to action is challenging, especially when you attempt to operationalize and automate this process. I will walk you through the steps of defining a process that keeps you outcome oriented and efficient to use data and analytics within your business operations.


Analytics Product Assessment

 

Many organizations are building analytics products (dashboards, models, data catalogs, etc.) to enable quality user experience or efficiencies within their business. Designing and evaluating project plans and roadmaps are challenging when dealing with ambiguity and incorporating risks. We will run through exercises to define the desired outcome, identify risks and limitations, and design for the most simple and effective solution.


“If I had an hour to solve a problem, I would spend the first 55 minutes determining the proper questions to ask for once I know the proper questions, I could solve the problem in less than 5 minutes.”

– Albert Einstein

Get started.

Contact me today to see how I can help your organization!