BI Project Strategy: BI-Roadmap

Definitions

Business Intelligence (Business Intelligence (BI)) BI as a set of processes and technologies that transform raw, meaningless data into useful and actionable information. 1)

Business Intelligence is a computer-based techniques, which organize and analyze through spotting 'hard' business data, e.g. marketing & sales revenue by products or departments or associated costs and incomes. Objectives of a BI exercise include

  • understanding of a firm's internal and external strengths and weaknesses,
  • understanding of the relationship between different data for better decision making,
  • detection of opportunities for innovation, and
  • cost reduction and optimal deployment of resources. See also competitive intelligence. 2)

Strategy is the direction and scope of an organisation over the long-term: which achieves advantage for the organisation through its configuration of resources within a challenging environment, to meet the needs of markets and to fulfil stakeholder expectations.3)

Business Intelligence Roadmap

A Business Intelligence Roadmap is designed to ensure the right solution is implemented, aligned with the business strategy and reporting requirements. This might be one solution to developed a Business Intellegence Roadmap, successfully helping clients and/or customers to implement a BI strategy and unlock the potential of their data, which will grow in the next years. The process takes a business through strategy clarification and definition of relevant KPIs, mapping these to the data sources, and design and implementation of a data warehouse and relevant reporting tools.

Business Intelligence Roadmap 4)

Appraisal:

  • Understand the business
  • Identify Current BI Solutions
  • Analyse Data Quality and Availability

Definition:

  • Understand Discipline Drivers
  • Clarify Business Strategy
  • Define KPIs, Metrics and Dimensions

Data Design:

  • Map KPIs to Source Data
  • Standardisation and Consolidation
  • Data Quality Diagnosis
  • Data Warehous Design

Presentation Design

  • Who? What? When
  • Technology Selection

Implementation

  • Data Warehouse Development
  • Data Cleansing
  • Extraction, Transformation and Load
  • Development of Reports and Views

Business Intelligence (BI)

Business intelligence (BI) sits at the top of the IT priority list for many enterprises. BI maturity in enterprises continues to grow, and BI tools have become more function-rich and robust, the promise of efficient and effective BI solutions remains challenging at best and elusive at worst. Why? Two main reasons: First, BI is all about best practices and lessons learned, which only come with years of experience; second, earlier-generation BI approaches cannot easily keep up with ever-changing business and regulatory requirements. 5)

Outlook Business Intelligence

All the data will grow in the coming months and year. In 2009, the volume of data was 800.000 Petabyte. Forecasts expects a grow 10 times of this volume, which will be 35 “Zetabyte”. 1 Zetabyte is a number with 21 zeros. 80% of this volume will not be structured. 6)

Related Topics

References

1) Source: Boris Evelson (2007) Forrester: It's Time to Reinvent Your BI Strategy
5) Source: Boris Evelson (2011), Forrester: Trends 2011 And Beyond: Business Intelligence
6) Source: Schlücker, Ina (11/2011), IT Director: Die Datenberge erklimmen
 
strategy/bi/roadmap.txt · Last modified: 2012/01/10 18:56 by molschimke
 
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