Loading in 2 Seconds...
Loading in 2 Seconds...
Retail: Lessons Learned from the Original Data-Driven Business and Future Directions. Presenters: Marilyn Craig , Senior Director, WW Sales & Marketing Planning and Analysis, Logitech Terence Craig , CEO/CTO, PatternBuilders. Before We Dive In… A Legal Disclaimer .
Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author.While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server.
Before Big Data was really big, retail data was the “big” measurement standard.
When you factor out science, government, and social media, it still is.
And it’s all about the data—multiple systems, suppliers, channels, etc. More “information” captured and stored than ever before.
Supply Chain Management
It’s about the 4 P’s creating all that data and all that data driving decisions about the 4 P’s.
Now, Consider this:
3 years of historical data for comparison
10 x 750 x 50 x 52 x 3 = 58,500,000 data points
750 Stores per retailer to monitor
10 x 750 = 7500 data points
50 products per store to monitor
10 x 750 x 50 = 375,000 data points
52 weeks of data per year for trend analysis
10 x 750 x 50 x 52 = 19,500,000 data points
655 Billion+ data points involved with managing the retail sales channel
4 regions to segregate the data
10 x 750 x 50 x 52 x 3 x 7 x 4 = 1,638,000,000 data points
7 types of data to monitor (POS, Inventory, Marketing, Syndicated, etc)
10 x 750 x 50 x 52 x 3 x 7 = 409,500,000 data points
10 Retailers to monitor
10 data points
50 states to segregate the data
10 x 750 x 50 x 52 x 3 x 7 x 4 x 50 = 81,900,000,000 data points
8 categories to aggregate the data
10 x 750 x 50 x 52 x 3 x 7 x 4 x 50 x 8 = 655,200,000,000 data points
Where do we go from here?
Cheap, big analytics is going to change the world.
The old rule: new shelf spaces = more sales
The new rule: it’s all about analytic-driven efficiencies
The slow down in new storefronts means growth (and profitability) will come from efficiencies.
Traditional retail data is moving towards real-time.
Humidity, Vibration, Temperature,
Both are driving standardization to an amazing level.
Are analyzed constantly for savings and regulatory compliance.
Ever shortening lead times, niche targeting, and regulation drive this. Retailing and supplying is a team sport.
Welcome to The Minority Report
While the public cloud is great, mega-retailer paranoia will make adoption difficult.
With the advent of:
Bottom Line: You no longer need to make a Wal-Mart size investment to analyze your data.
Feel free to contact us…