Business Objective

A leading global data science company, headquartered in London and operating in over 30 countries with more than 3,000 employees, wanted to modernize its analytics landscape. The organization faced challenges with its legacy BI platform, which relied heavily on spreadsheets, manual reporting, and fragmented departmental datasets. This lack of scalability and cross-functional visibility limited its ability to perform unified analytics and slowed decision-making. To overcome these inefficiencies, the company required a modern cloud analytics solution that could deliver real-time insights, eliminate data silos, and empower teams across finance, HR, and sales.

SourceMash Technologies Solution

SourceMash Technologies implemented Oracle Analytics Cloud (OAC), along with advanced data intelligence capabilities, to transform the company’s analytics framework. The solution included:

• Deployment of OAC to unify analytics across finance, HR, and sales, enabling cross-departmental data visibility.
• Elimination of the legacy BI suite, reducing reliance on manual spreadsheets and saving over €322,000 annually.
• Integration of self-service analytics, allowing managers to access critical KPIs such as profit and loss, attrition, and retention without IT dependency.
• Streamlined data preparation processes, generating productivity savings of approximately €312,000 per year.
• Accelerated query development with up to 80% faster reporting, reducing analytics turnaround from weeks to days.
• Creation of real-time dashboards, including CFO-focused reports that improved visibility by region, business unit, and cost center.

Business Outcome

With the implementation led by SourceMash Technologies, the data science company achieved measurable results, including:

• 48% average annual ROI with a payback period of 2.7 years.
• Over €523,000 in annual direct cost savings through subscription elimination and reduced contractor costs.
• Hundreds of hours saved annually from automated data preparation and streamlined workflows.
• Improved compliance and reporting accuracy through a centralized analytics model.
• Faster and more informed decision-making driven by unified and reliable insights.