ThoughtStorm and Tableau – Effectively Engaging The Data
Company Size
11-200
Region
- America
Country
- United States
Product
- Tableau
Tech Stack
- SQL
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Revenue Growth
Technology Category
- Analytics & Modeling - Data-as-a-Service
Applicable Industries
- Finance & Insurance
- Retail
Applicable Functions
- Business Operation
Services
- Data Science Services
About The Customer
ThoughtStorm is an investment portfolio company that provides a variety of services, including financial advisory services, interim management services, and strategic planning services. Their clients range from Charles Schwab to Google, and they all have a common need: to evaluate large amounts of data in order to come up with business strategies faster, easier, and more effectively. ThoughtStorm's co-founder and managing director, Mike Princi, is a former infantry ground officer, and he is committed to ensuring that the company does not lose ground in its operations.
The Challenge
ThoughtStorm, an investment portfolio company, was struggling with evaluating large amounts of data to come up with business strategies. They had a team of SQL programmers, analysts, and statistical experts, but the process was slow and inefficient. The analysts often didn't understand the strategic and management considerations of the financial experts, and the financial experts didn't have time to run complex statistical software. This was causing ThoughtStorm to lose time and ground, which was unacceptable to the company's co-founder and managing director, Mike Princi.
The Solution
ThoughtStorm turned to Tableau to increase the speed and effectiveness of their analytical capabilities. They used Tableau to track key performance areas such as gross margins, number of orders, and total revenue. They were able to quickly identify trends and ask the right questions to understand why certain trends were occurring. For example, they noticed that the business was doing much better in the previous year during the same time period, and they were able to isolate one important factor: they didn't have the magnitude of the back order and fill rate issues that they currently had. With this insight, they were able to take immediate action to start pushing volume into the business and lay out plans to increase revenue per order.
Operational Impact
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