Analytics Strategy​

For every organization there is a unique strategy. A set of initiatives that will help unlock the greatest business value from their data. Determining the right analytics strategy ensures that time and dollars are spent in the most effective way.

• Assessment - Is the investment of time and money in Analytics paying off? Are the efforts coordinated or is a strategy needed?
• Strategy Workshops - Facilitated meetings to understand the different viewpoints on data and develop consensus on the expectations from data.
• Strategy Execution Review - Is the strategy being well executed? Are projects on time and on budget?
• Business Perfomance Exploration - Are we measuring the right things? Do our Analytics align with how the organization truly works?

Data Architecture and Engineering​

Architecture is selecting the right infrastructure. Does our company need big data tools and processes? Or do we need an emphasis on delivering data for analysis in Excel? Engineering is building that infrastructure. Storing, moving and delivering data in the most reliable, efficient and effective manner.

• Architecture Assessment - Reviewing the current data architecture and its fit to the organization. Can people find and use data efficiently?
• Data Quality Measurement - Is too much time spent arguing about data accuracy? We use specialized tools to assess data quality and determine a baseline.
• Architecture Development - Building an Analytics architecture that enables both data-savvy and not so savvy people to be successful.
• Data Engineering - Setting up the right data infrastructure to enable your staff to be successful with data projects and ongoing activities.
• Business Data Training - Delivering training to ensure everyone in the organization has a consistent mental model of the business and its data.