Impact Study: Data Governance Landscape Assessment

A global communications and networking technology company critically needed data to inform sales supporting insights and analytics, especially to support cross-sell opportunities.

Client: Global Tech Comms & Infrastructure OEM
Industry: Technology
Sponsor: Chief Data Officer (CDO)
Locale: Global

The Challenge

Data is critical to sales. And the sales force wasn’t getting the right access to the right data they needed in order to truly be successful in growing the business, especially via cross-sell opportunities.

The new head of the Business Value Office (responsible for sales data & analytics) needed an updated picture of the data governance landscape to inform the overall strategy and accelerate data-driven decision making.

Engagement Description

We conducted a rapid (5-week) landscape assessment of the systems of records, data warehouses, analytics platforms, data flows, and governance practices, controls, & policies, and then provided recommendations for remediation actions and/or deeper dives into problem areas.

Outcomes Delivered

Informed Decision Making.
Informed the executive team of their data landscape – a view without bias or spin. Shared insights by business division and offered high-level comparisons, as well as an overall enterprise-level picture.

A Spotlight on Data Challenges.
Illustrated where data challenges were hindering sales growth and the root causes of those challenges.

A Pragmatic Improvement Plan.
Identified pragmatic improvement considerations and created a 12-month prioritized action plan of proposed initiatives based on growth potential while balanced by funding, efforts already in play, resource availability, and other dependencies.

Technology Platform Recommendation.
Created a technology platform recommendation to consolidate core data capabilities to a more optimal – and scalable – suite of applications that would support projected organic and acquisition growth and eliminate current data duplication and data ownership issues, while streamlining data sharing opportunities across the organization.