This post is part of Series Business Intelligence – Tools & Theory
Currently running topic for this series is listed as below :
Series Business Intelligence – Tools & Theory
>>Chapter 1 : Business Intelligence an Introduction
>>Chapter 2 : Business Intelligence Essentials
>>Chapter 3 : Business Intelligence Types
>>Chapter 4 : Architecting the Data
>>Chapter 5 : Introduction of Data Mining
>>Chapter 6 : Data Mining Techniques
>>Chapter 7 : Introduction to Data Warehousing
>>Chapter 8 : Different Ways of Data Warehousing
>>Chapter 9 : Knowledge Management
>>Chapter 10 : Data Extraction
>>Chapter 11 : Business Intelligence Life Cycle
>>Chapter 12 : Business Intelligence User Model<You are here>
Continuing from my previous post on this series, If you have missed any link please visit link below
We are going to Cover the Following Points in this article
- Business Intelligence User Model
- Evolution of Business Intelligence
Business Intelligence User Model
By now you must be familiar with the Business Intelligence lifecycle and the EPLC Framework and how the successful implementation of a project is affected by human factors. And also the strategies used in business intelligence like creating a roadmap and project planning.
BI was first developed as a technology to serve one primary need. The need for the business users to turn the information into knowledge and understanding that would aim towards profitable business activity. The advent of technologies like the „dashboard‟ finally authorizes the business users with the tools which would help to visualize, manipulate and understand the data.
BI has the capability to support the activity management and decision making. The basic reporting and querying tool used in Business Intelligence is based on the increasing cost, functionality, business intelligence, complexity and decreasing total number of users. In CMS, the data can be defined to be anything like the documents, the movies, the pictures, the phone numbers and the scientific data. The integration of the BI and the process will continue to move forward as the standardized platforms from major software providers will begin to integrate the capabilities .This can only be purchased at one time from the "best of breed" vendors.
Evolution of Business Intelligence
Business Intelligence (BI) first evolved from the software’s primeval swamp about 15 years ago and in spite of the early promise and the massive demand it could never achieve its true potential. It was first developed as a technology to serve one primary need which is the need for the business users to turn the information into knowledge and understanding aimed towards making the business activity profitable.
Over the years it has grown at a glacial speed through the different stages of development that is from data warehouse, management information systems, and online analytics to the latest demonstration of dashboards and scorecards. The basic problem is the complexity and the rawness of the reporting mechanisms. That is, only the highly specialized analysts can understand them, avoiding the real business users from making any direct benefit. This has caused frustration at the coalface of the business not to mention the missed business opportunities for the growing profits.
All this is changing with the advent of technologies like the „dashboard‟ which finally authorizes the business users with the tools which will help to visualize, manipulate and understand the data. Though this breakthrough has been revolutionary, and has moved the whole sector forward the dashboards still can not provide a deep and good understanding of the business information. The dashboards still do not offer a flexible and integrated „what-if‟ (interactive charting) tool which will help to support the planning, the forecasting and the simulation of the situations.
An initiating new stock of Business Intelligence applications may look as though they may finally meet the age old business required for Business Intelligence. It is the ability of the interactive charting to search and interrogate the information that allows a good understanding of the data and is vital for the business users to make key decisions. Manipulation of the data authorizes the users to quickly see the projections of their decisions and also make a true understanding of the effect of possible decisions. Furthermore, the users of interactive charting will be able to change their decisions and also through simulation see the effect of this without the direct risk to the business.
The Interactive charting is still a new concept and has lately become a practical option for many of the applications. It was because of the launch of Flash as a standard browser component and then because of its extension into Flex2 which enabled the improvement of the enterprise capable data visualization tools.
Business, which undoubtedly choose Business Intelligence application as an answer to all the problems, is now beginning to take notice and also recognize the technology which can provide the real bottom-line benefit and which will drive the further development. From advertising to production, the understanding of the data provided by the diverse systems is crucial to maximizing the gain. For example, what effect would delay the delivery and henceforth the payment on a large shipment of stock have on the cash flow? Or what kind of mix investment funds can help to achieve the client‟s pension goals?
The Interactive charting can be a very efficient selling tool. For example, in the employee benefits management using interactive charting one will be able to see, with an array of factors, what kind of mix benefits can best suit the specific budget for the different numbers of staff given by different structures.
By visualizing the data, interactive charting has the capability to give a huge range of practical functionality from zooming, filtering to charting and changing. Interactive charting is not risk free. It takes the right mix of technologies to assure that what is done today does not become out dated tomorrow. Flex2, developed as a direct response to the companies dependent on the technologies like Flash are not enterprise capable.
And it is this clever mix of modern technologies that is helping the companies to deliver interactive charting solutions. The two most important features of interactive charting are the usability and the accessibility which are commonly over looked by technical companies. For this Google is an exception because it consistently over delivers on this front. In particular, it is the usability which gives the interface and also allows the business user to operate, understand and control the powerful tools available. Crucially, the interactive charting tools are situation specific and should be tailored to suit the specified needs of the individual companies or of an industry.
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