Case studies

Global investment banks, world-leading healthcare firms, and retail giants – find out how the world’s largest organizations are using Solidatus to gain value from their data.

Solidatus Case Studies

Case study overview

Solidatus is empowering enterprises globally to accelerate their understanding and optimization of their data and organizational processes. Find out how we’re helping organizations in financial services, healthcare, retail and utilities in
this case study overview.

Solidatus for Data Sharing

Automated data sharing:
Global investment bank

Global investment bank with over 40 million customers utilizes Solidatus to revolutionize their data sharing process. Read the case study to find out how they removed months-long bottlenecks and achieved the
creation of a holistic, group-wide
view of data sharing.

Solidatus for Retail

Automated linage visualization: Global retailer

Since completing the deal, the global retailer’s e-commerce sales have soared, climbing 63% in its most recent quarter. Online inventory has also grown, from just 10 million items last year to at least 67 million today.

Solidatus for BCBS 239

BCBS 239:
Global investment bank

This bank realized their existing tools had bottlenecks in operational processes, were inflexibly designed, had functional gaps, and alienated users with a lack of usability resulting in DQ issues that were exacerbated
by an inability to run effective
DQ analytics.

BCBS 239:
UK retail and commercial bank

This bank was faced with a platform designed with a catalog-first architecture, lacking usability and flexibility. It often couldn’t handle data lineage flow volume, resulting in the input data having to be re-engineered to fit the system, rather than the system meeting the bank’s data needs.

Devon County Council:
Mapping data assets

Devon County Council utilises Solidatus to help map their data assets. This has facilitated collaboration, trust and confidence in their data, overcoming unclear data ownership, lack of common business concepts and correctly dealing with a proliferation of sensitive data.

Digital transformational lineage: Asset manager

A multiyear digital transformation project was undertaken to move investment processes away from spreadsheets and provide the ability to transfer the management of certain asset types previously managed externally in-house.

Solidatus for IFRS17

Policy compliance
and management:
Global investment bank

Solidatus delivers a collaborative, multi-dimensional modeling environment for expert analysts to create re-usable digital assets that solve their clients’ data and policy management challenges, including policy gap analysis

Solidatus for Utilities

Procedures and ownership:
UK utilities

Water supply and sanitation in the UK is provided by a small number of water and sewage companies. Due to the importance of the services and the limited number of providers, it is also one of the most heavily regulated industries in the UK.

SMCR:
Global investment bank

Senior managers at this global investment bank attest to their organisation’s management responsibilities map by providing clear and demonstrable responsibilities across complex multi-dimensional organizational structures.

Solidatus Healthcare Case Study

Healthcare:
Visualization of complex integration flows

A global pharmaceutical company needed to understand its data landscape, create a single source of truth and meet regulatory demands. An added challenge was having acquired numerous small companies, all of which had multiple systems obtaining important data and information.

Workload automation:
Global investment bank

This investment bank was centralizing its derivative trading hardware and software into London and required
its regional daily batches to be
merged into one global 24 x 6 batch. 
A complete redesign and refactor of the regional batches into a singular global batch was required.

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Solidatus unlocks the true business value behind data. A lineage-first approach enables organizations to connect and visualize data relationships across the enterprise, simplifying how they identify, access and understand them. With a reimagined, sustainable data foundation in place, organizations can mine actionable intelligence and solve complex problems to deliver transformational business results.

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