KYC series – basic analysis

First question Contoso wanted to know is are we making money? Is that a surprise to you? Hopefully not. But we haven’t answered it yet! Primarily because though we have a strong handle on their sales side of things, but the cost data cannot be trusted. There is more business process work to do here…

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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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“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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Announcing availability of machine learning based Recommendation API inside Dynamics 365 for Operations

We now have the recommendations API integrated and available from within Dynamics 365 for Operations. In the Nov. 1, 2016 update to Dynamics 365 for operations, now you can view the product recommendations inside cloud POS. This is the first time that we bring insights derived from Cortana intelligence suite components using machine learning right within…

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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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Recommendation API now available through Microsoft Cognitive services

Recommendation API has moved from its home in Data marketplace to a new home in Cognitive services. All of our customers have already moved to consume the service from its new location. If you are trying out the service and have built some infrastructure and integrations, this post will provide you all that is needed…

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Predictive Maintenance for Construction Machinery

Dynamics AX proves to be a great platform for managing fleet predictive maintenance. Machine breakdowns cost construction companies time, money, and opportunity. These costs can be managed and minimized if they are planned days or weeks in advance—but how do we predict which machines will be in need of service? Using Cortana Intelligence Suite (CIS) components, we collaborated with…

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Set of machine learning models on Sales Pipeline

Every sales team wants to sell more. They want to know health of sales pipeline and determine whether they will meet quota at end of quarter or not. Below is comprehensive list of machine learning models you can use on sales pipeline. Good news is you need not have to spend years to built it….

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Introducing a new portal for you to play and learn with us

We have been at work quietly with several of our customers and partners to develop intelligence from their dynamics 365 data. We dug deep into these datasets, created machine learning models and teased out the hidden patterns. However, we have been looking for a way to share what we have learnt in a manner that…

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