Last year I wrote a post about finding similar accounts for Dynamics CRM which generated lot of interest in the community. Understandably so, as this is a very common requirement that is asked for in nearly every CRM project – Duplicate Accounts. CRM duplicate detection capabilities are only basic – they just do partial match, … Continue reading Dedupe Duplicates using Fuzzy / Proximity search
Azure IoT Hub Streaming Analytics Simulator is an application written by Manny Grewal. The purpose of this blog is to explain What, Why and How of this application. What? Streaming analytics is a growing trend that deals with analysing data in real-time. Real-time data streams have a short life span, their relevance decreases with … Continue reading Azure IoT Hub Streaming Analytics Simulator
With my involvement in some data science work recently, I have had the privilege to explore a lot tools of the trade – Rapid Miner, Python, Tensorflow and Azure Machine Learning to name a few. My experience has been highly enriching but I felt there was no Swiss knife that can handle the initial – … Continue reading Power BI for Data Scientists
So far we have seen how a Dynamics CRM integration can be connected to Azure ML to receive the predictions. Once we got the integration going there is no dearth of possibilities. You may like to build an alert / flagging functionality that can alert a Customer Service rep to contact a customer if their … Continue reading Use Machine Learning to predict customers you might lose – Part 4
Continuing our journey from the previous post where we defined the issue of churn prediction, in this instalment, let us create the model in Azure Machine Learning. We are trying to predict the likelihood of customer’s churn based on certain features in the profile which are stored in the Telecom Customer entity. We will use … Continue reading Use Machine Learning to predict customers you might lose – Part 2
"Customer satisfaction is worthless. Customer loyalty is priceless." Jeffrey Gitomer Business is becoming increasingly competitive these days and getting new customers increasingly difficult. The wisest thing to do in this cut-throat scenario is to hold on to your existing customer base while trying to develop new business. Realistically, no matter how hard it tries, every … Continue reading Use Machine Learning to predict customers you might lose – Part 1
Imagine a day at work of a front desk staff who is handling the support mailbox or reception of any mid-size organisation. It is not uncommon for them to receive hundreds, if not thousands of email and phone enquires everyday. If this organisation happens to be using Dynamics CRM, then every enquiry is usually handled … Continue reading Dynamics CRM – Prediction based routing
