Business Intelligence
Autor: teacher Jota | Publicado: 2016-04-05T05:13:00-07:00


Business intelligence
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Business  Intelligence (BI) refers to computer-based techniques used  in spotting, digging-out, and analyzing business data, such as sales  revenue by products and/or departments or associated costs and incomes.
Business Intelligence  (BI) refere-se a técnicas baseadas em computador utilizados ( posicionar)no spotting,  cavar, e análise de dados empresariais, tais como receitas de vendas de  produtos e / ou serviços, ou os custos associados e rendas.
BI  technologies provide historical, current, and predictive views of  business operations. Common functions of Business Intelligence  technologies are reporting, online  analytical processing, analytics, data  mining, business  performance management, benchmarking, text  mining, and predictive  analytics.
Business Intelligence often aims to support better  business decision-making.Thus a BI system  can be called a decision  support system (DSS). Though the term  business intelligence is often used as a synonym for competitive  intelligence, because they both support decision making, BI uses  technologies, processes, and applications to analyze mostly internal,  structured data and business processes while competitive intelligence,  is done by gathering, analyzing and disseminating information with or  without support from technology and applications, and focuses on  all-source information and data (unstructured or structured), mostly  external to, but also internal to a company, to support decision making.







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*  History
In a 1958 article, IBM researcher Hans  Peter Luhn used the term business intelligence. He defined  intelligence as:"the ability to  apprehend the interrelationships of presented facts in such a way as to  guide action towards a desired goal."
In 1989 Howard Dresner  (later a Gartner Group  analyst) proposed BI as an umbrella term to describe "concepts and  methods to improve business decision making by using fact-based support  systems." It was not until  the late 1990s that this usage was widespread.

* Business  intelligence and data warehousing
Often BI applications  use data gathered from a data warehouse or  a data  mart. However, not all data warehouses are used for business  intelligence, nor do all business intelligence applications require a  data warehouse.

* Business  intelligence and business analytics
Thomas  Davenport has argued that business intelligence should be divided  into querying, reporting, OLAP, an "alerts" tool, and  business  analytics. Another comprehensive approach that utilizes BI and other  methods, models, and analytics is called Decision  Architecture. DA is a value creation process used by major  corporations since 1985 to increase customer, portfolio, technology,  brand and shareholder value.

* Getting Business Intelligence projects prioritized
It  is often difficult to provide a positive business case for Business  Intelligence (BI) initiatives and often the projects will need to be  prioritized through strategic initiatives. Here are some hints to  increase the benefits for a BI project.

As described by  Kimball you must determine  the tangible benefits such as eliminated cost of producing legacy  reports.
Enforce access to data for the entire organization. In  this way even a small benefit, such as a few minutes saved, will make a  difference when it is multiplied by the number of employees in the  entire organization.
As described by Ross, Weil &amp; Roberson  for Enterprise Architecture, consider letting  the BI project be driven by other business initiatives with excellent  business cases. To support this approach, the organization must have  Enterprise Architects, which will be able to detect suitable business  projects.


* Critical Success Factors of Business Intelligence  Implementation
Although there could be many factors that  could affect the implementation process of a BI system, research by  Naveen K. Vodapalli shows that the  following are the critical success factors for business intelligence  implementation:

Business-driven methodology and project  management
Clear vision and planning
Committed  management support &amp; sponsorship
Data management and quality
Mapping  solutions to user requirements
Performance considerations of  the BI system
Robust and expandable framework


* The future  of business intelligence
A 2009 Gartner paper predicted these developments  in the business intelligence market.

Because of lack of  information, processes, and tools, through 2012, more than 35 percent of  the top 5,000 global companies will regularly fail to make insightful  decisions about significant changes in their business and markets.
By  2012, business units will control at least 40 percent of the total  budget for business intelligence.
By 2010, 20 per cent of  organizations will have an industry-specific analytic application  delivered via software as a  service as a standard component of their business intelligence  portfolio.
In 2009, collaborative  decision making emerged as a new product category that combines social software  with business intelligence platform capabilities.
By 2012,  one-third of analytic applications applied to business processes will be  delivered through coarse-grained  application mashups.