{"id":19075,"date":"2020-03-24T00:00:00","date_gmt":"2020-03-23T23:00:00","guid":{"rendered":"https:\/\/alistar.net\/?p=19075"},"modified":"2026-10-02T16:49:44","modified_gmt":"2026-10-02T14:49:44","slug":"microsoft-customer-insights-for-better-customer-experiences","status":"publish","type":"post","link":"https:\/\/alistar.net\/en\/blog\/microsoft-customer-insights-voor-betere-klantervaringen\/","title":{"rendered":"Microsoft Customer Insights for Better Customer Experiences"},"content":{"rendered":"

Your customer expects you to know them and to provide personalized service. That\u2019s why some companies deliver impressive customer experiences,<\/strong> thanks in part to the extensive digitization of customer processes. They do \u201ceverything for a smile.\u201d.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

In stark contrast to these shining examples, many companies struggle to measure up. To provide personalized service to a large number of customers, a A 360\u00b0 view of the customer is essential<\/strong>. And that\u2019s not easy, because customers are interacting with companies through more and more channels. As companies set up multiple digital channels, this (sometimes) creates just as many additional data silos.<\/p>\n\n\n\n

Microsoft Customer Insights Breaks Down Data Silos <\/strong>by consolidating all customer data and integrating it into automatically generated customer profiles. This creates the necessary foundation for personalized customer experiences<\/strong> to achieve.<\/p>\n\n\n\n

What is Microsoft Customer Insights?<\/h2>\n\n\n\n

Customer Insights<\/a> Is it online? \u201cCustomer Data Platform\u201d<\/strong> from Microsoft. The platform connects to many different types of systems that contain customer data, and then Automatically generate unique customer profiles<\/strong> to generate using artificial intelligence.<\/p>\n\n\n\n

\"\"<\/figure>\n\n\n\n

1. \u201dIngest\u201d<\/strong>
Customer Insights retrieves customer data from various data sources and collects it in a \u201cData Lake.\u201d This can be done either in Microsoft Azure or in your own Data Lake. <\/p>\n\n\n\n

2. \u201cMap and match\u201d<\/strong>
Customer Insights uses artificial intelligence to automatically recognize data and map it to the Common Data Model, and to match customers from different data tables with one another in order to generate unique customer profiles.<\/p>\n\n\n\n

3. \u201cEnrich\u201d<\/strong>
The purpose is to enrich the generated customer profiles with category information from Microsoft profile data. This step is optional.<\/p>\n\n\n\n

4. \u201cConflate\u201d<\/strong>
The customer profiles can then be used to calculate metrics such as average purchase amount, total purchase amount, etc. This can be done both at the level of an individual customer profile and at the company level (i.e., all customer profiles combined). Using these calculated metrics, you can create new segments for targeted sales and marketing campaigns.<\/p>\n\n\n\n

What makes Microsoft Customer Insights so unique?<\/h2>\n\n\n\n

Developing a Customer Data Platform (CDP) on your own requires a lot of work. Not to mention the in-depth technical expertise needed to design and develop the technical architecture of a CDP.<\/p>\n\n\n\n

Furthermore, in-house CDPs are much more difficult to maintain compared to Microsoft Customer Insights. Compared to the \u201cBuild your own\u201d approach, Microsoft Customer Insights is exceptionally flexible. The process of consolidating customer data into comprehensive customer profiles is surprisingly easy to configure. Even someone with a \u201cdata analyst\u201d background can get started right away.<\/p>\n\n\n\n

Who is it intended for?<\/h2>\n\n\n\n

For companies and organizations facing the challenge of centralizing customer data from various data sources, Microsoft Customer Insights can be the ideal tool for quickly implementing a Customer Data Platform.<\/p>\n\n\n\n

What insights can you gain from this?<\/h2>\n\n\n\n

Here are a few examples of insights you can gain from Customer Insights based on your customer data:<\/p>\n\n\n\n