Data & Analytics – Analytics Strategy & Execution
Private Equity | Data Strategy
The Liberty team delivered a data strategy for a $200m revenue PE company, providing enhanced data governance by aligning master data management and data-driven capabilities. Recognizing that the client had grown rapidly with an ad-hoc approach to data management, the strategy solved the need to simplify search processes, duplicate data storage, and a high level of manual intervention. The data strategy roadmap Liberty developed delivered a pathway from a healthy data foundation to a data-driven organization supporting its customers and cross-company strategic initiatives.
Impact At A Glance
Implementation of the Data Strategy Roadmap would create a data platform capable of integrating future acquisitions 10 times faster
25+ Vendors and SIs Evaluated
Liberty evaluated dozens of MDM vendors and Systems Integration partners to identify the best fit for our client
Enabled Data Insights
Building upon a healthy data foundation, the data and analytics capabilities are able to increase back-end productivity and capture and retain key customers
Liberty was asked to prepare a data strategy for a $200M revenue PE portfolio company that had grown rapidly by acquisition with plans to continue expansion. As part of an identified need for better data governance, Liberty evaluated master data management (MDM) software and systems integrators (SIs) and recommended the best value and fit for the company, incorporating bespoke value-driven metrics as they continued their journey to becoming a data-driven organization.
The Business Problem
These data quality issues were creating the need for manual intervention in data management, reducing back-office productivity, leading to customer loss, negative impacts on other business initiatives, and creating difficulties for leadership in drawing insights from existing data. Future acquisitions would only exacerbate these problems.
Based on expertise in data strategy and master data management, Liberty provided a go-forward strategy that would increase data quality and process automation, driving sales and growth. By creating a healthy data foundation, the company could integrate future acquisitions 10x faster, modernize back-office operations, reduce costs from technology spend, and improve data accuracy and customer satisfaction.
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