Success Stories / Automating Profitability Analytics for a Market-leading Pharma Services Company

Automated Profitability Analytics at scale – and in detail – for a Pharma Services Leader

Data Strategy & Execution

Cuesta partnered with a market-leading pharmaservices company to build a flexible and powerfulfinance analytics solution. The solution enabled agranular view of profitability across all businessunits, supported by a scalable data platform. Theresults: near-real-time profitability insights, elimination of manual reporting constraints, and a detailed, high-confidence view of EBITDA

Scalable Data Infrastructure
Automated Data Integrations
Flexible Dashboards and Tools
Granular View of Profitability
High-confidence EBITDA

Challenges

Profitability reporting was manual, inconsistent across business units, and not trusted by leadership.
Master data for customers, projects, and services was inconsistent following multiple acquisitions.
Existing data tools had limited capabilities, as did the support teams. Excel was the tool of choice for all reporting and analysis, even with large data sets.
Visibility was severely limited, or costly when it could be provided.
Decision–making was slow

Solutions

Delivered a flexible profitability analytics toolset, tailored for different user groups and business units.
Designed and deployed an efficient data warehouse solution, supported by an enterprise data model which set the standards for integration across systems and business units.
Developed flexible data handling tools to address key gaps or limitations in operating data, and automated manual processes, providing relief to finance teams.
Built trust in the data as presented, provided transparency in profitability reporting to
a granular level, and provided supporting analytic for key revenue and cost drivers.
Enhanced confidence in EBITDA as reported, and ultimately enterprise value, contributing to a successful exit for the investors.

“Partnering with Cuesta allowed us to build a scalable data framework for our business. Financial reporting and business metrics that used to take days to compile are now available real-time, allowing us to spend more time making strategic decisions rather than adding up results”

– Director of Data and Technology

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