Liberty’s client had grown rapidly via acquisition in recent years with an ad hoc approach to data governance and a lean IT organization with limited skill sets. As a result, customer and product data in the company’s systems was unreliable, had become extremely difficult to search, and was duplicative within and across multiple platforms.

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.

Liberty quickly mobilized to provide a current state assessment of the company’s data architecture, governance, and data quality practices. We identified the causes and symptoms of the data challenges, and evaluated dozens of MDM vendors and SIs to recommend the best fit/best in class to help the company gain a reliable, consistent, consolidated view of their customers and product data. We created a roadmap for the company to become a data-driven organization that incorporated cross-company, strategic initiatives, and shared best practices in data governance with the leaders and data stewards.
 
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.