Hi Folks,
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<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
- BI Strategy
- Transformation Roadmap
BI Strategy
A BI strategy summarizes the finest combination of procedures and technologies to meet the business intelligence strategies of an organization. BI strategy has the capability to distribute reliable and appropriate information. BI strategy has been developed in such a way that it supports business performance administration using a combination of established and non- established processes and knowledge.
The following are the main aspects of BI strategy:
· BI is a data warehouse
· BI is with regards to OLAP
· BI is a dashboard
· BI is regarding technology
· BI is for managers as well as employees
· BI is not only for huge Organizations
· BI is a mixture of People-Process-Technology that can include worth of about 90% of the venture.
BI is an enterprise wide „system‟ that makes use of timely, trusted data to support performance management and decision making. This has a 90% people and process component. It is important that the technology does not overshadow the rationale behind the business desire for business intelligence capability.
BI strategy offers business clients the capacity to access, evaluate, and distribute information within an organization. It is taking a progressively tactical role since various organizations look for methods to grasp the important information saved in their operational systems. Describing a BI roadmap, associated to business goals, makes it simpler to access the complete value of data in an organization.
The BI Strategy is developed to target BI maturity evaluated with other organizations in the industry and design a BI Roadmap modified to present level of development and long term BI objectives. Results that explain that the organization is using data less efficiently than the opponents are almost assured to get a response.
Objectives and Deliverables
Business Intelligence offers various objectives and results in a variety of deliverables such as:
· Single repository of information and making decisions are based on the statements rather than on character.
· Data which is aligned across an organization results in overall company approach.
· Accessibility of information facilitates prioritization of impact analysis.
· Carry out in-depth evaluation which helps in reliable, precise, and immediate way of measuring facts.
· Carry out “what-if” circumstances to assist in the making of positive
decisions.
· Capacity to determine the performance metrics is based on a comprehensible, reliable, and effective manner, across all the divisions in an organization.
· Establish information all through the organization.
Transformation Roadmap
Roadmap is a clear and complete guide to minimize the complexities inherent in the development of valuable business intelligence decision- support applications.
The major development challenges to BI are data-related problems such as ensuring data quality, enhancing extremely difficult theoretical data models, and enhancing access to instantaneous data. Present and future-state investigation will help building a transformation roadmap to cover up the gap between the present and future condition.
Building a transformation roadmap
A transformation roadmap develops the principles essential for creating the planned BI configuration and associated technologies. The series of implementation of core methods and data configurations are arranged in this section. The transformation roadmap can begin with a greater level viewpoint, with features being included to the roadmap as the development takes place. A BI roadmap should follow few guidelines. It:
· Has to classify a set of developments to be carried out.
· Must create authority and procedures.
· Should establish the theoretical, consistent and physical structural design.
· Should be able to set the infrastructure chart,
· Has to create information delivery projects.
· Must include information requirements.
While developing the transformation roadmap, account information needs of customers should be noted down, also take information on how customers want to obtain and make use of the information. The roadmap should look upon capability, performance, data efficiency, data protection, and metadata control and data maintenance procedures. Also it is significant to consider the BI performance timeline, prioritization of each BI project and resource accessibility for BI oriented projects. Broad policy summarizes the transformation roadmap and also will assist after getting to the processes.
As an example, high-level choices made on data maintenance will affect data architecture such as separation of the data as well as methodological design such as hard disk storage.
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