Building a Data Management & Analytics Strategy

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Strategy projects often get “stuck in the weeds” or simply get offtrack. Discover how J.H. Findorff & Son Inc. leveraged Pomerol Partners’ Analytics TO WIN® methodology to develop a robust, company-wide data management and analytics strategy. This method provided the structure needed to keep everyone focused and able to complete the process quickly and effectively.

 

“It helped to bridge that gap, and bring the data team and leadership together to eliminate delays in crafting our data management and analytics strategy. It created the energy needed to identify our strategic objectives.” – Karen Gill, Director of Business Technology at J.H. Findorff & Son Inc.

 

About the Company

Findorff is a $900M construction company based in Madison, WI., established in 1890. Their focus is conducting large-scale commercial and residential building projects.

Given the change in the economic market, along with their steady growth, Findorff recognized the need to better leverage data and analytics to optimize job profitability, construction forecasting, labor productivity, and marketing & sales opportunities.

Following an evaluation process, they decided to leverage the Pomerol Partners Analytics TO WIN® method to establish a data management and analytics strategy.

The Decision-Marking & Data Driven Culture Assessment

It generated much-needed awareness at the executive level about how decisions are made and about the maturity of their data-driven culture.

It also provided a structured forum to confirm the corporate objectives, and raised awareness about their strategic data objectives (how is data provisioned, where it is stored, who has access, how it is used in decision-making).

The session also helped identify what is needed to enable improvements in how they use data (data quality, availability, retention, etc.). The data and analytics team also took the same assessment and compared their results to the leadership results.

This comparison exercise created a no-lose situation – i.e., if aligned, it would expedite next steps… if not, it would help bridge the gap between the data team and leadership to avoid delays. It also made sure that data initiatives were set to support the whole company, and both leadership and departmental leaders were aligned on priorities for maximum impact.

The Four Step Method

The Findorff team followed the Four-Step method and leveraged the pre-built assessments and templates to engage executive leadership, IT leadership and key functions of the business. This ensured the resulting data management and analytics strategy was developed collaboratively, with all three core business stakeholder groups having their needs addressed.

The Findorff team found the Analytics TO WIN® method to be very adaptable and accommodated the company’s emerging strategic planning process (timing, personnel, input from leadership, IT and all business functions).

It eliminated departmental subjectivity/bias via cross-functional consensus, established priorities and prerequisites, balanced load, and drove executive buy-in and approval.

It increased confidence in the company’s ability to succeed and became the consistent reference point for measuring progress across all departments in the organization.

Results and Impact

The result of the Analytics TO WIN® method was a Strategy matrix that clearly prioritized the most important data management and analytics initiatives.

Each initiative was clearly aligned to their data-related strategic objectives, which were aligned to their overall corporate objectives. The data team was also able to use the Strategy Matrix to prioritize some projects to achieve quick wins to build early momentum.

The Strategy Matrix was presented back to the leadership team on a single page that made it easy for the leadership to understand and approve the first set of key initiatives.

The data team at Findorff is now engaged in executing the prioritized initiatives from the Analytics TO WIN® Strategy Matrix and is already seeing success with the business.

 

Download the article: Building a Data Management and Analytics Strategy Case Study

 


Solution Overview

 

Client Name:

J.H. Findorff & Son

 

Industry:

Construction

 

Geography:

Based in Wisconsin – Operating USA

 

Function:

Organization-wide

 

Business Value Drivers:

Data-Driven Decision Making and Operational Efficiency

 

Challenges:

  • Data Silos
  • Limited Analytical Capabilities
  • Resource Constraints

 

Solutions:

  • Refined Corporate Objectives
  • An End-to-End, Collaborative Data Management & Analytics Strategy with Leadership, IT and Business Functions

 

Impacts:

  • Easier to Gain Leadership Approval for Funding
  • Establish Priorities without Bias
  • Eliminated Departmental Subjectivity
  • Alignment between Projects and Strategic Objectives
  • Enables Balance between “Quick Wins” and Complex Projects

Testimonials

“It helped to bridge that gap, and bring the data team and leadership together to eliminate delays in crafting our data management and analytics strategy. It created the energy needed to identify our strategic objectives.”
Karen Gill

  |  

Director of Business Technology

  |  

J.H. Findorff & Son Inc.

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