Month: March 2017

Business Intelligence

Posted on Updated on

03/23/2017

Business Intelligence

 

Introduction to business intelligence

To start, I would like to explain the purpose of today’s blog post. Over the past thirty days I have embarked on the path to discovering the role of BI technologies in contemporary organizations. I have discovered that today’s business environment is populated with increasingly complicated decisions. This blog post will examine how the decision process is assisted by utilizing BI technology.

My intention is to reach the business intelligence community as well as the business professional. We will discuss BI solutions, data, organizational memory, CRM, knowledge management (KM) and other concepts which led to quick business reflexes.

In effort to understand the business intelligence process, I would like to describe the process for discovering knowledge in big data. Data, information, and knowledge must be processed through data management. This BI process is known as a decision support system.  It has been discovered that there are two technologies which comprise the organization’s data. A data warehouse, which is a logical repository for data, and Data mining refers to the process of discovering patterns from the data stored in the data warehouse. Decision support systems are directly related to the organization’s decision making process. When an organization discovers the unstructured data that exist within in its knowledge base, the firm discovers a data gold mine for developing better customer relationships. Therefore, business intelligence is associated with knowledge management, data warehousing. Data mining, and (DDS) decision support systems are important to a firm’s ability to compete in today’s business environment.

 

BI impact improves operational performance, customer service, and helps with the identification of new opportunities. Of course, there are obstacles, many firms experience technology obstacles and organizational obstacles (Sabherwal, 2007).

To help improve business intelligence there are technologies such as, web mining, radio frequency identification, enterprise resource planning, online analytical processing, visualization tools, digital dashboards, balanced scorecards, DDS, and knowledge management.  Products are available and supplied from mega vendors who customize BI solutions to meet the financial needs of the company. The solutions provide users with presentation, insight creation, information integration, and organizational memory. These four products are customized and are essential to a company’s business intelligence capabilities.  The leading BI vendors are IBM, SAP, Oracle, and Microsoft providing global business intelligence solutions.

Business intelligence will continue to have a massive impact on the business community. Software will be developed and solutions will continue to evolve. The subject of BI deserves continued research as the competition within the business environment expands and evolves.

I would like to thank my reader’s for being a part of this blog. You may look forward to reviewing more chapters being added in future post.

EMM

436 MEDIA Inc. 2017