Lean Six Sigma

ERP Processes, Best Practices and Analytics

Integrate Enterprise Resources Planning (ERP), IoT and external data to produce your process-based data structures and analytics. Lean and Six Sigma methods are geared toward improving the quality of the output of a process by identifying and removing the causes of defects and minimizing variability in manufacturing and business processes (e.g., product defects, orders on credit hold, orders shipped late, back orders, out-of-stock and many more).

Supercharge your key ERP processes with Lean and Six Sigma methods and techniques:

ERPs are full of processes that are undiscovered and/or unmeasured.

Below are technical areas in a typical ERP "OTC" or "Sell" process:

Parent Customer, Customer, Sales Hierarchy, Sales Person, Product Hierarchy, Product, Sales Order (SO) Header, SO Status, SO Item, SO Item Status, Delivery Header, Delivery Item, Billing Header, Billing Item, Accounting Header and Accounting Item.

Build your Company's own process-based data models for your Enterprise Data Warehouse (EDW) and Data Lake

Below are steps in the Six Sigma DMAIC methodology:

All areas above are handled with "visibility" through process-based structures and data models. We also provide key Lean and Six Sigma charts in HTML/CSS webpages and in many analytic and visualization tools (e.g., control charts, histograms, pareto charts and more).

These services are geared toward supercharging your key ERP processes with IoT and external data integrated.

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