Data Driven Transformation Supporting Demand Forecasting
summary
Mayborn Group builds an end-to-end analytics platform using Alteryx for ETL and Qlik Sense plus QDI for automated data warehouse delivery, ingesting ePOS from ~70 retailers into a governed staging area tied to internal SKUs and PIM data. The pipeline outputs 24‑month forecasts with 13‑week smoothing and outlier flattening, supports user adjustments via Excel templates, and reports reduced analyst wrangling by 500 hours/month, automated 50% of retailer collection and 100% processing, and 137 million products/year production scale.
AI-written summary · about
chapters (10)
- 0:00Introduction to journey
- 1:01About Mayborn Group
- 2:06Early data analytics efforts
- 3:30Current architecture overview
- 5:15Centralized data approach
- 9:54Benefits of automation
- 10:16Demand forecasting process
- 13:35Key business benefits
- 15:06Next steps in forecasting
- 16:39Q&A session
related talks
28mDemand Forecasting: Accuracy, Stability, Automation
28mUse case in demand forecasting
23mMichael Setticasi: Sr. Director of Business Development for Alteryx at Cypher 2017
33mAlisa AI: Future-Proofing Your Business with Demand Forecasting
16mTransforming Inventory Forecasting with Production ML
53mBusiness transformation through data and ML
30mSelf-service data warehousing
22mRonald Menich, Chief Data Scientist, Predictix, LLC