CRMUG Summit EMEA Amsterdam 2017

Four sessions presented.


Marrying Dynamics CRM to Azure IoT and Machine Learning

How can an organisation optimise its sales channels and product targeting by building a 365-degree view of its customers in Dynamics CRM? With the help of Azure IoT and Machine Learning services!

This session describes the identification of common patterns of actions by consumers, classification based on criteria like age, gender, location, etc., and promotion of best-fit products and services. To achieve this, mobile devices are used and connected to the Azure IoT Hub for collecting information about location, commuting patterns and weather condition. This information is then evaluated in Azure Machine Learning to predict the best matching products



SOLID Dynamics CRM solutions with Typescript

The principles of SOLID are guidelines that can be applied to software development to improve legibility and maintainability of software applications.

This session explores best practices and design patterns for developing Dynamics CRM solutions that comply with the five SOLID principles: Single responsibility, Open/close, Liskov substitution, Interface segregation and Dependency injection. Understand why Typescript is a good fit for the purpose, the advantages that writing SOLID code brings, and how software development can be really agile and adaptive to changes with minimum effort.



Ranking CRM Opportunities with Azure Machine Learning

Every day, EF receives thousands of expressions of interest by prospective students to attend a course delivered in any of 150+ locations around the world. How is all this information processed in order to provide a swift response to applicants? We rank opportunities based on location, past history, and hundreds, literally, of other criteria. We cannot do this manually clearly. We use the power of outcome prediction in Azure Machine Learning.

This session explores the foundation of Azure ML for describing how data is collected and modelled; trained and then scored; and finally evaluated to generate the ranked outcome.



Effective emergency response in Dynamics CRM

EF schools handle thousands of students every week in more than 150 locations worldwide. Emergencies of any type may happen with no notice. How do we react promptly and safeguard our students and staff around the world?

A system of multiple communication channels is used to reach out on students and inquiry about their incolumity. Location is tracked with GPS units and its data collected via the Azure IoT Hub; automatic messages in multiple languages are initiated from the CRM and replies processed with Azure Cognitive Services using text and voice recognition; bots are used for checking status and condition.




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