- Case Study
- Solution Sheet
- Webinar Replay
- Slide Deck
- Product Sheet
- White Paper
- Solution Overview
- Use Case
During times of crisis, companies must look at the available data — both internal and external— and try to understand how that data can be used to determine how the business is currently being impacted, how it is likely to be affected in the future, what are most likely scenarios that will play out, what can be done to counter those scenarios and take advantage of hidden opportunities in this rapidly changing environment. The Starschema COVID-19 dataset ingests reliable data from multiple sources and makes it analytics-ready so it can be easily accessed and used.
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.
We design and implement data lakes to analyze data in distinct ways, gain insights and create value out of the data your organization generates and imports. Our standard BI Data lake solution implemented on Microsoft Azure platform is based on Lambda Architecture providing flexibility to process either structured data coming from traditional SQL databases or semi/non-structured data ingested from IoT devices, logs, documents.
As humans, we think and communicate in narratives. Numbers and visualizations help, but taken on their own, they often don’t tell the full story. A good dashboard may be useful for showing trends and conveying metrics, but it’s words that resonate with decision-makers and provide them with important context and situational awareness