January 20, 2014
January 16, 2014
In data cube each cell contains one or several values called measures or metrics. It helps to analyse aggregated facts and the level of detail is directly proportional to number of dimensions in the cube. Here axes represents dimension and the space represents facts (Wang et al., 2005). Above shown figure of data cube contains three dimensions namely Time, Geography and Product. Each cell consists of (T, P, G) and business measure is the total sales. Here the amount of product P along with total sales sold in geography G in time period T is stored. Figure 2 shows hierarchy of dimensions.
Features of data cube:
Slice and dice
Drill-down and roll-up
January 13, 2014
January 10, 2014
January 7, 2014
January 4, 2014
January 2, 2014
BI is a group of concepts, methods and procedures for making better business decisions using information from several sources and applying knowledge and presumptions to build up a precise understanding of business. It gathers, manages and analyse the raw data for making good understanding/understandable information for managers and analysts. BI integrates the core information with related ones to perceive major procedures and clarify issues. It can observe business activity and performance, to progress as well as adjust swiftly as situations change, to make healthy decision on indecisive judgements and conflicting information and to identify business opportunities. For this BI expects valuable information which can be developed from data resource.
If any organisation wants to implement business intelligence then first of all they should understand and clarify about the value of high-quality data resource that supports BI. This high-quality data resource contains data that will be utilised for creating the information and the information engineering process. It helps in the determination and presentation of business information to fulfil the organisational demand. So, high-quality data resource is directly proportional to information engineering process. Thus it can be said that data resource is the base of business strategies. Thus, it can be said that quality of data resource will increase the quality of the value chain to promote the business. The value chain starts from data resource to make information that supports knowledge environment. Then this knowledge environment will act as basics for business intelligence for making business strategies (.
A case study methodology was attempted by Brohman, 2000 to dig into the process of data warehouse practice and how it shapes the organisation. According to the qualitative analysis from the case study, a model was illustrated named Business Intelligence Value Chain as shown in Figure 2.
In above shown figure, business intelligence and business value are the main concepts of the model. Business intelligence is the package for data analysis whereas business value is the outcome from data warehouse development and practice.