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.
31 January 2010
Challenges of Successfully Deploying Business Intelligence and Data Warehousing
(ArticlesBase SC #733433)
Article Source: Business Intelligence Articles, Business Intelligence Data Mining Software Application. http://www.articlesbase.com/ - Challenges of Successfully Deploying Business Intelligence and Data Warehousing
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1 Comment:
Thank you for the correct information. Below is massage from Apriso website:
The manufacturing industry has adopted Six Sigma, Lean manufacturing and many other methodologies. Unfortunately, the systems used to support these initiatives lack the agility for success. They're not real-time. They are siloed and can’t be integrated or extended to provide the end-to-end control and visibility required to run a highly optimized manufacturing operation. Simply put, they lack what organizations need to adapt and thrive in today’s highly competitive environment.
Recognizing this as both a problem and an opportunity, Apriso has designed an entirely new solution around a concept called adaptive manufacturing, in which manufacturers adopt systems and processes that provide the agility required to adopt new extended business models and continuous improvement initiatives, while also reducing risk by maintaining strict controls over process and quality. Apriso helps its customers gain competitive advantage by:
* Enabling rapid response to both planned and unexpected change
* Providing end-to-end, real-time visibility and control over operations on the plant floor, throughout the enterprise and across the entire supply network
* Tightly integrating planning, execution, and control
* Increasing efficiencies and eliminating errors
Apriso delivers these results through FlexNet,® the first adaptive operations execution platform and application suite. The innovation reflected in FlexNet comes as no surprise to those familiar with Apriso. The company lays claim to a long list of industry ‘firsts,’ including:
* Introducing the first adaptive manufacturing and logistics execution solution
* Creating the industry’s first application to integrate Manufacturing Execution Systems (MES) with applications to track and manage time and labor
* Developing the first operations execution platform to incorporate Business Process Management (BPM) functionality
* Offering the first and only manufacturing solution to fully support SOAs by being 100% Web services based
* Being the first in North America to achieve “Certified by SAP NetWeaver” status, as well as one of the first to achieve “Powered by SAP NetWeaver for Industry Standards” certification, and a Cross Application Partnership with SAP
* Deploying the widest MES and Warehouse Management Systems(WMS) rollouts; 40+ at a number of customers
* Being the first operations execution software vendor to natively support Microsoft’s .NET framework.
Innovation and a commitment to excellence are themes that run through everything we do.
Apriso serves more than 150 of the world’s largest manufacturing organizations, in 39 countries with over 550 installations.
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