KYC – Basic description of example company

Ok, a lot about setting the stage; let’s do it. First a little bit about our example company. Here it is. Contoso Groceries UK, about $500m business. They procure and then distribute various grocery items to other smaller businesses who could be smaller groceries themselves or restaurants of various types or event caterers or even public institutions…

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Know your customer (KYC) – introduction to series

How do you make sense of sales data generated by transactions with 100,000 customers, 10000 products from 15 different sites through 10 different channels? It’s easy, you say, because there are now so many tools available to do this and this is not even big data. But it’s also hard because you don’t need big data…

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KYC series – customer lifecycle approach

There are many ways to analyze customer data. We present here the approach that may be taken with the tools that are available with Cortana Intelligence. Do some basic business analysis – get to know the customer, get to know the data, do some simple charts to see how revenue changes, margins change, what products…

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A Pricing Engine for Everyone built with AzureML and Python

This post describes the Microsoft Pricing Engine (MPE), a cloud tool for pricing optimization. MPE is easy to integrate into the business process as it uses the business’ transactional history and does not require A/B testing infrastructure to be set up. A double-residual modeling approach in MPE is the newest advanced causal inference approach to…

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“AutoML” Parameter Search for Hierarchical Demand Forecasting Optimization

In general, machine learning approaches expose many options that affect performance and accuracy. “AutoML” (Automated ML) concerns problems of optimizing over such options. Forecasting demand of products that form a hierarchy raises this kind of challenge. We recently wrote a blog post about demand forecasting for hierarchical data. We listed several approaches to reconciling forecasts…

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Introducing Microsoft Data Science Virtual Machine

Microsoft Data Science Virtual Machine (DSVM) is a custom virtual machine on Microsoft’s Azure cloud build specifically for doing data science. It’s a powerful data science development sandbox equipped with the most popular tools for data exploration and modelling. You can provision a DSVM with a few clicks on Microsoft Azure website, and within 10-20…

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Demand forecasting for hierarchical data

Introduction Demand forecasting is an essential component of supply chain management. Accurate demand forecast leads to more effective production planning, better inventory management, or more accurate capacity planning. We collaborated with UXC Eclipse, a global Dynamics partner, to build a customer-tailored application for demand forecasting using Cortana Intelligence Suite components. The solution not only improved…

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Describing reorder point problem

How much to order when and which replenishment policy to use for which product and questions of similar nature are asked all the time among folks responsible for managing operations at a distribution center or in a manufacturing plant. The problem is well-understood but not necessary simple. Choices are many. Here is a short deck…

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Learning with Partners at WPC 2016

Hey folks, What a whirlwind WPC2016 was this year!  I was happy to see Dynamics 365 get unveiled and to hear Satya talk about the Common Data Model.  We’re very excited to see unification happen on the various entity models that have evolved over the years and to see another example of the One Microsoft strategy…

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Looking forward to WPC

Hey folks, WPC is just a few weeks away and I wanted to take a moment to update folks on the sessions that should be of particular interest to System Integrators / Value-Added-Resellers and Independent Software Vendors (SIs/VARs/ISVs) that are investigating and/or developing solutions for customers incorporating components of the Cortana Intelligence Suite.  Here’s a few sessions that…

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