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- Use Case
Changes in the global business environment have driven a need for faster insights and decisions. In response to these changes, a global American software company approached Starschema about developing a solution for personalized, easily accessible and highly actionable financial insights.
A Fortune 5 technology company was not getting the value it needed from its enterprise analytics and visualization solution, so it leveraged software stack development expertise from Starschema to custom-build a proprietary application deployment platform.
A Fortune 50 conglomerate was not satisfied with its ability to serve internal customers’ data needs and track the costs associated with data requests. To achieve improved data access, as well as transparency and accuracy in intra-conglomerate financial affairs, they needed a flexible, metadata-driven solution.
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.
A global technology-focused investment management firm launched an initiative to upgrade their BI toolset. The team identified two key areas for improvement: visualizations were taking too long to display the requested information and the limited feature set made it impossible to build charts with the desired level of customization.
Gedeon Richter, a multinational pharmaceutical and biotechnology company, leveraged Starschema's data science expertise to jointly develop an ML-based methodology to quantify the properties of the mitochondrial network within neurons to enable more effective analysis of medications for various neurological diseases.
To meet the demands of a rapidly evolving tobacco market, our client wanted to improve their reporting process for more accurate and timely insights. Their existing reports required a lot of manual work to prepare, and their quality regularly fell short of management’s expectations. To ensure that their BI environment would better serve the decision-making process, they reached out to Starschema for consulting services.
Rising parcel quantities and the international coordination of deliveries placed considerable demands on the fragmented ERP and BI systems of Hungary's leading delivery service provider. To ensure the necessary insights for decision-makers, our client turned to Starschema to create a unified operational framework that would ensure the rapid, uninterrupted flow and reportability of business-critical information.
At a Fortune 5 technology company, whenever Tableau users noticed data inconsistencies and irregularities, they had to go through a cumbersome process of going all the way back to the source of the data to question and update it. To reduce time-to-insight, they wanted to be able to write back to the data source, annotate the data and discuss the data point directly from the Tableau dashboard itself.
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.
When large organizations merge or divest, then new entity has business transformation thrust upon it. Our client, a provider of power generation solutions, 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.
At the heart of data driven organizations lies the concept of data democratization: making data more accessible to everyone and making it easier to share, discuss, and act upon. Data visualization tools like Tableau help companies view, understand and leverage their data to make better decisions about their business.
Introducing a machine learning based segment view about your customers gives the opportunity to improve conversions and lower customer acquisitions. Learn more how a sophisticated segmentation model, based on your existing data, can increase the number of customer purchasing and your campaigns' success rate by 40%.