Embedded Business Intelligence

Business Intelligence needs to be embedded in the business operational processes and help the business make decisions in real time.  To satisfy this need to be more agile the information needs to be delivered in a timely, relevant and actionable manner.  Embedded BI acts on real time data, not time delayed data stored in a separate data warehouse.   The data needs to come from the same source as the application and be seamless to the end user. 

  • Timely:   Information is needed before a decision is made,  not after the decision has been made.
  • Relevant: The information should be related to the decision being made and not too generic.
  • Actionable: Information that can be acted on and any other related information that can influence my decision process.

Studies have shown that deploying embedded BI systems lead to quicker adoption and longer continued use of such systems than the traditional stand along BI System.   Systems such as a customer relationship management (CRM) system or a human resource planning (HRP) system are ideal candidates for an embedded BI implementation.  By starting with systems widely used by the organization, a well-defined integration strategy, understood analytics requirements  and maintaining an organizations security and governance policies an embedded BI strategy can add value to the business.

Five ways you can use embedded BI for business:

  • Sales: A customer service representative in a call center could have access to the type of product or service a customer on the phone may buy.  This kind of information can be based on an analysis of the customer profile such as demographic identifiers, past purchases, local weather or comparison to similar customers.
  • Manufacturing: A retail manager can have the ability to see if there is a problem in the logistics for a region or related to an individual product.   Also, the ability to identify surplus in other locations for a possible redirect to fill in the missing products elsewhere in the supply chain.
  • Enterprise: Coordinate activities across departments such as in health care.  Monitoring workflows that have dependencies on each other.
  • Human Resource: Managing Human Capital within a large enterprise.   If an employee calls in sick, quickly identify what other resources are available with the required skill set to fill in if necessary.
  • Safety and Compliance: With new low cost personal health monitoring equipment coming on the market monitor and report the current state of pilots, truck drivers and other shift works in managing operational schedules.

The Future of Embedded BI

In order to understand the future of Embedded BI it is useful to see where we have been.   In the 1900s embedded BI is represented primarily by Crystal Reports, which allowed for embedded report and generally produced static reports.   In the 2000’s  we began to see open source solutions that supported interactive reporting, dashboarding and OLAP functionality.   Some of the leading vendors in the embedded BI products during this time period were Logi Analytics, Pentaho and Jaspersoft – to created web enabled BI applications run as separate web services.  

In the 2010+ (new and emerging) we begin to move beyond the web toward the Cloud.   Cloud platform providers such as Amazon Web Service, GoGrid and Red Hat OpenShift allow developers to rent cloud-based BI tools by the hour.  Host applications access the BI content via REST interfaces and Javascript and support virtualization and multi-tenancy.

Embedded BI is evolving along with current application development trends, moving from a desktop solutions, the Web and now to cloud architectures.   Let GRT Corporation guide you through this Embedded BI evolution.

To learn more, please contact us.