Implementing Enterprise Search In Power Platform

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Photo by Anthony Martino on Unsplash
Photo by Anthony Martino on Unsplash
Providing good search capabilities is a key feature in modern business applications to support usability and end user satisfaction. We have seen how the search capabilities of the Dynamics platform has evolved from providing “Quick Search” and “Advanced File” to “Relevance Search”. The goal of the platform search features has been to support users to find the relevant information they need in the quickest and easiest form. These search features are out-of-the-box and easy to enable/configure/use. As the platform progresses to offer richer features to users and enable them to search better, the demand for richer and better search techniques grow, and we see instances where the platform capabilities cannot meet user demands with its out-of-the-box capabilities. Before going further about advanced search scenarios, you can read about the platform out-of-the-box search capabilities in this official documentation. In this article I share why we may decide to implement a search solution of our Dynamics solution using Azure Search Service.
In enterprise implementations, business applications are not the only systems used in the organization. We often see call center agents and sales representatives need to obtain their required information from various systems to service customers. Searching users in every system is a cumbersome job which may cause setbacks in end-user adaption. Integrating Dynamics with Azure search offers consolidation of search operations in one specialized search service with ability to connecting to various data sources and apply modern search techniques to find the most relevant data. A practical example of this scenario can be seen in one my recent experiences where the organization users had to search for user information in CRM, SharePoint, Sybase and a pool of CSV files.

Customized Search experience

To facilitate more user adoption, using customized search techniques are highly favorable. In all modern search engines, we see use of “Auto complete”, “Suggestions” and “highlighting” features which can be added to the Dynamics solutions search experience. Displaying search results by support of “Document Preview”, “Document Opening in a customized containers”, “Facets”, “Filter” and “Sorting” are examples that enhance your Dynamics solution’s capabilities.

Customized Search Behavior

The true power of search is demonstrated with different pieces of information are linked together to make sense of a bigger picture. Extracting words and sentences from documents including images and pdf files, extracting key phrases, people names, location names, languages and other custom entities with the help of AI is another unique feature that you can add to your Dynamics’s search capabilities. Another amazing search capability you can have in your Dynamics implementation is the ability to search based on geolocation information, i.e. you can search for all your partner network from CRM or get the location of your field service force. The beauty of implementing your own enterprise search lies in the fact that you can search information in your data stores and link them using AI to generate knowledge and better insight to your data.

Customized Search Result

Another need for customized search in your Dynamics solution to the ability to refine your search result profile. When you use AI in your search, the system gives you the power to see how relevant search results are to your search keywords. And by knowing this you can refine your search profiles to generate a different result for the same keywords. This way you train the AI engine to work better for you and enable users to get more accurate search results.
Architecture

Dynamics integration with Azure Search service can be integrated in the following pattern:

 

  1. Integration through web resources: These web resources will host a web application acting as a client to the search service. The web resource can be a HTML file or an iFrame hosted on forms. The important point in this approach to ensure cross-origin settings in the client application and writing your html in a secure way and according to the best practices.
  2. Integration through custom power platform controls. You may build your own custom control which sends REST requests to the Azure Search and display results by consumes REST responses. The custom control can call Azure Search services using Actions or direct REST calls to Azure Service.
  3. Azure Search works based on indexes and your first step is to push your CRM searchable data to Azure Search indexes. This can be done using Microsoft Flow, Microsoft App Logics, custom solutions or Azure Data Factory. I have used all these tools in my implementations, and you can opt to any of these tools based on your requirements.
  4. Once the data is in your data store, you can create your indexes in the Azure Search. You can go for separate indexes for each data source or combine multiple data sources in one index. Each approach has its own requirements which will need to be met either in your client web application or a separate azure compute resource. Once indexing is done, you can make use Azure Search Rest API directly or using Azure API management to expose your search service to your Dynamics solution.
Summing these all up, you see as business application products get more sophisticated and organizations move from data to big data, engineers now must look for innovative approaches to implement Dynamics Solutions. Microsoft Azure along with Dynamics platform offers necessary tools to solution architects to design such solutions.
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