When large organizations merge or divest, then new entity has business transformation thrust upon it. Our client, a power generation manufacturer, divested from a larger organization to become a brand-new company. With the looming deadline of a cut-over from the existing data platform, the client engaged Starschema to validate and test the existing technology stack and determine the best way to move forward.
The client had an existing, on-premises data platform for handling commercial data but was suffering from slow report loading, sometimes longer than 60 minutes, frustrating the primary data consumers, the sales and marketing teams. The performance issues drove some groups to turn to shadow IT solutions, building their own, parallel data platform. As part of the divestiture, the client wished to take the opportunity to look at migrating its data platform to the cloud. Part of the technology evaluation included the feasibility of migrating the stack components to the cloud.
Starschema data engineers completed a full design review of the existing technology stack which included Oracle ERP as the system of record, HVR for data replication, Greenplum as the database, Talend for ETL, and Tableau for data visualization. This design review included a detailed review of code and configuration for the various technologies used as well as reviewing data governance.Our experts designed a cloud-based architecture incorporating the existing technology on-premises components. After a lengthy testing phase and a Proof of Concept (PoC), the Starchema team optimized the components of the existing data platform to increase performance, validating the technology stack for post-divestiture operations.
With a successful migration of the Oracle ERP source system to Oracle cloud and the other data platform components to an AWS environment, the client has benefited from reduced hardware, license, and maintenance costs. The new, cloud-based data platform renders reports several times faster than the on-premises version.
How can Starschema help you?
By completing this form, you agree to receive periodic product and services related communications, emails and promotional materials from Starschema and their partners, and provide your consent to our processing of your information in accordance with Starschema’s Privacy Policy. We take the protection of your information seriously.
Case Study
A Glimmer of Hope, an American non-profit philanthropic organization, generates large volumes of data during its day-to-day operation, and wanted to effectively track the outcomes and impact of their programmatic work, improve operational efficiency, optimize costs and allow donors to see the full impact of their donations.
Case Study
Our client, a Fortune 50 energy company needed to migrate all their existing data and analytics platforms to Amazon Web Services and redesign the existing architecture to leverage AWS-native technologies. This was an initiative to optimize performance and reduce long-term operation costs by taking advantage of recent advancements with AWS cloud-native solutions.
Solution Sheet
Hundreds of companies — Fortune 10 through startups — rely on Tableau and Starschema to see, understand, and use their data to drive business results. Our Tableau solutions are engineered to bridge the gap between the out-ofthe-box Tableau capabilities and the needs of our Fortune 500 clients. These solutions are cost effective, and can rapidly and easily be implemented in the enterprise environment.
White Paper
A fully automated, compliant-by-design intelligence data lake architecture with real-time ingestion and best-of-breed standardization and audit features.