Getting Insights from Big Data

About Ironbridge Ironbridge Software has been around since 1985 Located in Chicago, IL we also have an office New Jersey Started as a consultant for the Nielsen Company in the mid 1980’s What do we do? Ironbridge is both a software developer and consultant in the CPG industry

Big Data or Data Science “In the last couple of years, there is a new term for Big Data, now it’s called “Data Science”. I can all myself a Data Scientist which sounds a whole lot fancier than Big Data Geek.”

What is an INSIGHT? Answer: Something I can take action on. Bottom up not top down

69 upcs for White Diamonds 1.0 oz ! POS Data Issues Fragmented category 1,000+ brands in department stores 3,400+ collectively in all channels 34 POS retailers Different syndicated data providers Department stores and midtier from NPD FDMx from IRI Multiple upcs/skus for single item Multiple vendors and different packaging Various sizes/promotions by channel Compiling shipment and POS upcs No single source for item file attributes, over 68,000+ upcs Data disparity Data extraction methods (EDI, Excel files, download from web access) Different formats (upc/sku, inventory, promo activity, WE dates) Different granularity (daily/weekly/monthly, total/store) Minimal IT support Only servicing department store data Category Management access Category data, not just vendor Strict limited data access standards mandated by Retailers 69 upcs for White Diamonds 1.0 oz !

Consolidation Benefits Consolidated location of all data: Retailer and Syndicated POS Shipments and Retail Plans Security: Access limited by ID Backed-up, following IT guidelines Time efficiency: No time spent on downloads and uploads by category manager Aggregated totals available immediately Consistent hierarchy view across all sources of data while maintaining retailer view

Netbench Benefits SAAS solution doesn’t clog IT team Ability to reload error files, process restatements Ease of functionality in reporting tool Effectively manage large amounts of data Allows for rapid response in meeting changing Retailer and/or business reporting requirements System is used across multiple customer channels and geographies (Canada & Europe)

Sample Reporting

Data Use and Insights Dot com vs. Brick and Mortar reporting (account/brand) Frequent reporting to adjust to strategy Forecasting across all accounts Allows for easier projection of launches Store level analysis view and segmentation Helps improve ST% on future displays/programs Brand performance across channels Direct spend to right customers

Insights Major Cost Savings Our client is a manufacturer of salad dressings. Scheduling production of the different flavors is determined by the anticipated demand for each. The demand forecast had an accuracy rate of only 38%. Ironbridge built a multiple regression model with weekly sales history for 3 years and every trade promotion during that period. Then by plugging in the trade promotion plan for the next 6 months, we produced a new demand forecast. The model’s accuracy rate was 48%. Just that 10 point improvement enabled the client to schedule production more effectively and to avoid building an entirely new plant. Major cost savings.

Insights

Uncovering New Markets Insights Uncovering New Markets Our client delivers bottled water to homes nationwide. They have a database of every home served with address and zip code. By comparing population density from the U.S. census data we were able to uncover underserved markets across the country. Further, since this is a premium service by comparing household income we were able to identify the best opportunities for new sales. http://ibsw.com/insights.html

We bridge the gap between category management & Information Technology. We are recognized experts in category management, syndicated data and large scale data management systems needed to solve your individual data needs.

Follow Ironbridge Software www.ibsw.com