”Business Intelligence Roadmap” Author Larisa Moss.
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Transcript of ”Business Intelligence Roadmap” Author Larisa Moss.
Stage 1 - Justification
”Assess the business need that gives rise to the new engineering project”
Business Cases Assessment Definitions of problems and
opportunities
Business drivers:
Identify the business drivers, strategic business goals, and BI application objectives.
Ensure that the BI application objectives support the strategic business goals.
Business drivers:
Without strong business drivers and without an alignment with the strategic business goals of the organization, the BI decision-support initiative may falter.
Substantiate your business justification.
Do not invent a business case where one does not exist just to get the BI project approved.
Interview senior managers to confirm the organization's strategic goals, and interview business managers and business analysts to validate the BI application objectives.
Business analysis issues:
Define the business analysis issues and the information needed to meet the strategic business goals by stating the high-level information requirements for the business.
In most organizations, business analysis issues usually revolve around unmet information needs from current heterogeneous data sources and poor quality of the source data.
Operational Data
Online transaction processing (OLTP) and batch systems provide internal operational data about subject areas, such as the following: Financial Logistics Sales Order entry Personnel Billing Research and engineering
Private Data
This internal departmental data usually comes from the desktops and workstations of business analysts, knowledge workers, statisticians, and managers.
Examples include the following: Product analysis spreadsheets Regional product usage spreadsheets Prospective customer databases
External Data
Organizations often purchase external data from vendors that specialize in collecting industry-specific information available in the public domain, such as the following: Health care statistics Customer profile information Customer catalog-ordering habits Customer credit reports
External Data
External data is usually clustered around the following categories:
Sales and marketing data: lists of prospective customers Credit data: individual credit ratings, business viability
assessments Competitive data: products, services, prices, sales
promotions, mergers, takeovers Industry data: technology trends, marketing trends,
management science, trade information Economic data: currency fluctuations, political indicators,
interest rate movements, stock and bond prices Econometric data: income groups, consumer behavior Demographic data: age profiles, population density Commodity data: raw material prices Psychometric data: consumer profiling Meteorological data: weather conditions, rainfall, temperature
(especially for agricultural and travel industries)
Cost-benefit analysis:
Estimate costs for building and maintaining a successful BI decision-support environment.
Determine the ROI by assigning monetary value to the tangible benefits and highlighting the positive impact the intangible benefits will have on the organization.
Risk assessment:
The technology used for implementing the project
The complexity of the capabilities and processes to be implemented
The integration of various components and of data
The organization and its financial and moral support
The project team staff's skills, attitudes, and commitment levels
The financial investment in terms of ROI
Definitions
BI vs. Traditional systems Business need => business opportunity Cross organizational developement From operational requirements to
strategic information Business analysis =>system analysis Incremental development (waterfall
deployment) rather than “big bang”
Summary of the Model
1Business
Case Assessment
Enterprise Infrastructure
Evaluation
Enterprise Infrastructure
Evaluation
Project Req. Definitions
Application Prototyping
Meta Data Repository Analysis
Data Analysis
ImplementationRelease
Evaluation
Database Design
Meta Data Repository
Design
ETL DesignETL
Development
Application Development
Data Mining
Meta Data Repository
Development
Justification Planning
Business Analysis Design Construction
Deployment