Challenges of Successfully Deploying Business Intelligence and Data Warehousing

Business intelligence and data warehousing are commonly associated terms. In fact, many of the tool vendors position their products as business intelligence software rather than data warehousing software. There are other occasions where the two terms are used interchangeably. So, what exactly is business intelligence?
Business intelligence refers to the information that is available for the enterprise to make decisions on. A data warehousing (or data mart) system is the backend, or the infrastructural component for achieving business intelligence. It also includes the insight gained from conducting data mining analysis, as well as unstructured data (thus the need for content management systems).

The concept of business intelligence has existed since ages for achieving long-term organizational goals by looking at trends and patterns, multi-dimensional analysis and so forth. The data typically exists anywhere from a day to a week, to a month, to even a year or more. What has essentially changed is the focus to get it closer to real time. That’s what is referred to as operational business intelligence. It is more about managing daily operations. Initially strategic business intelligence meant building our own little worlds. Data was extracted out of the operational systems and data warehouses and data marts were built in accordance, completely disconnected from the operational environment on purpose. This really helped create strategic decision-making environments, without affecting the operational systems. But all that has changed now with operational business intelligence and data warehousing being interconnected. No longer can there be a wall between the operational side of the house and operational business intelligence.

Operational business intelligence is also used by a very different audience. By its very nature, it has to be made more actionable for it to be useful by the operation personnel as well. And, by actionable, that means it has to be embedded into their everyday workflow, or their everyday processes. The traditional audience—the business analysts, and the executives—who are interested in being able to analyze this historical information were not really focused on current or real time or, even near real time data for that matter. In other words, the joint efforts of business intelligence & data warehousing is the need of the hour.
About the Author
Arun Gupta is a professional writer for an Offshore Software Development Indian IT company offering customized solutions including Application Testing, Business Intelligence & Data Warehousing (BI & DW) and Infrastructure Management Services for clients around the world.

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Article Source: Business Intelligence Articles, Business Intelligence Data Mining Software Application. http://www.articlesbase.com/ - Challenges of Successfully Deploying Business Intelligence and Data Warehousing

Revolutionary Method: Free MBA of Business Intelligence & Data Mining BI

BO Articles : Revolutionary Method: Free MBA of Business Intelligence & Data Mining BI by S.Maurer

Publishing Guidelines: You may publish my article in your newsletter, on your website or in your print publication provided you include the resource box at the end. Notification would be appreciated but is not required. By S. Maurer The non-profit Business Technology Open University - http://business-technology.us - offer a new revolutionary method for a free MBA of Business Intelligence & Data Mining: a teach operation entirely supported by content oriented ads of companies, inside the texts of the lessons. However, Business Technology is totally independent and without any connection with any manufacturer or consultant.

Business Intelligence BI is a terminology representing a collection of processes, tools and technologies helpful in achieving more profit by considerably improving the productivity, sales and service of an enterprise.

With the help of BI methods, the corporate data can be organized, analyzed in a better way and then converted into an useful knowledge of information needed to initiate a profitable business action.

Thus its about turning a raw, collected data into an intelligent information by analyzing and re-arranging the data according to the relationships between the data items by knowing what data to collect and manage and in what context.

This course Business Intelligence BI curriculum would provide a first level exposure to all the building blocks, decision making issues, and emerging advances in the area of Business Intelligence BI, including:

General Control Theory
Feedback Control System
Business Modeling
Data Modeling
OLAP Online Analytical Process
Data Warehouse
Data Mining - Module 1
Data Mining - Module 2
Data Mining - Module 3

Software.

This open MBA of Business Intelligence & Data Mining are only in English and by correspondence, with 2 to 5 lessons a week and they durations varies up to 5.5 months. In the total the Business Technology free courses have 2,600 lessons and additionally more 11,000 complemental lessons, everything sent in e-mail attachments. The announced pre-requirements for the registrations are one of the following: - College/University graduated or in course to graduate, or - Good job experience in the choiced MBA matter and those registrations can be made individually or in groups of employees' of companies or Governments officers. In the moment Business Technology already has 193,000 students from the entire World, and the projection for the end of this year is of more 400,000 students.

About the Author
S. Maurer is a 53-years old college graduated IT professional, Correspondence Courses Director of both free Business Technology Open University and the paid Abet Open University.

Source: GoArticles.com

Oracle Data Mining

Oracle Business Intelligence BI Software : Oracle Data Warehousing : Oracle Data Mining

Oracle Data Mining (ODM)—an option to Oracle Database 11g Enterprise Edition—enables customers to produce actionable predictive information and build integrated business intelligence applications. Using data mining functionality embedded in Oracle Database 11g, customers can find patterns and insights hidden in their data. Application developers can quickly automate the discovery and distribution of new business intelligence—predictions, patterns and discoveries—throughout their organization.

CONNECTORS & EXTENSIONS

• Oracle Data Miner—A graphical user interface that helps customers mine their Oracle database to find valuable hidden information, patterns, and new insights
• Oracle Spreadsheet Add-In for Predictive Analytics—Enables Excel users to mine their Oracle Database using simple, ‘one click’ Predict and Explain analytics features
• Oracle Data Mining JDeveloper and SQL Developer Extensions—Allows Java and database developers to easily integrate advanced analytics into their applications
• ODM Connector for mySAP BW—The ODM Connector Enables SAP Business Warehouse 3.5 users to seamlessly mine data using Oracle Data Mining within the SAP Data Mining framework

Source: http://www.oracle.com/solutions/business_intelligence/data-mining.html