Using revolutionary social media analytics to predict the next bestseller
Region
- Europe
Country
- Germany
Product
- IBM PureFlex System
- IBM Storwize V5000
- IBM Watson Content Analytics with Enterprise Search
Tech Stack
- Social Media Analytics
- Content Analytics
- Enterprise Search
Implementation Scale
- Enterprise-wide Deployment
Impact Metrics
- Productivity Improvements
- Revenue Growth
- Waste Reduction
Technology Category
- Analytics & Modeling - Predictive Analytics
- Analytics & Modeling - Real Time Analytics
Applicable Functions
- Business Operation
- Sales & Marketing
Use Cases
- Demand Planning & Forecasting
- Predictive Replenishment
Services
- Data Science Services
About The Customer
Based in the German town of Baden Baden, media control GmbH specializes in providing media information – such as data on television viewership, book sales, cinema visits and music charts – to its clients. The company wanted to attract trade from more companies in the publishing industry by helping them find smarter ways to run their businesses. One of the key ways for publishers to achieve greater profitability is by matching print volumes to sales.
The Challenge
Publishers face a tough challenge. If they print more copies of a book than people buy, they waste money and are left with excess inventory. But if they print too few copies, they miss out on revenue. To avoid ending up with too many or too few books, media control has developed a state-of-the-art social media listening tool that helps publishers accurately predict demand for each title.
The Solution
Working with PROFI Engineering Systems AG, an IBM Premier Business Partner, media control developed a sophisticated social media analysis tool built on cutting-edge IBM Watson Content Analytics with Enterprise Search software. To support the solution, PROFI Engineering Systems also helped media control deploy an IBM PureFlex System connected to an IBM Storwize V5000 storage device. The social media analysis tool continuously scans more than 100,000 websites, searching for relevant user comments and information about books, authors and publishing firms on online forums, blogs and news websites.
Operational Impact
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