BUSINESS INTELLIGENCE INTRO

IOAN SUCIU, SOLUTION ARCHITECT, ISDC

2

QUIZWHAT DO YOU KNOW ABOUT BI

1. I googled about Business Intelligence (BI)?

2. I watched a BI presentation movie?

3. I played with a BI demo environment?

4. I followed a BI tutorial?

5. I worked on a BI project?

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QUIZARE YOU INTERESTED IN BI

1. I want know more about BI?

2. I’m fine with java and .net?

3. Undecided?

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AGENDA

1. What is Business Intelligence?

2. BI for business

3. Vendors and Technologies

4. A day in a BI developer’s life

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INFORMATION DRIVES DECISIONS

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INGREDIENTS OF INFORMED DECISIONS

Data

visualization

Processing and aggregation

Lots and lots of data

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DEFINITIONS

1. Wikipedia: Business intelligence (BI) is a set of theories,

methodologies, processes, architectures, and technologies that

transform raw data into meaningful and useful information

for business purposes

2. Gartner defines the business intelligence (BI) and analytics

platform market as a software platform that delivers 15

capabilities across three categories: integration, information

delivery and analysis.

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DASHBOARDS

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INFOGRAPHICS

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THE IMPORTANCE OF BI TODAY

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THE TECHNOLOGY HYPE CYCLE

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GARTNERMAGIC QUADRANT

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1. Leaders

Strong in breadth and depth

2. Challengers

Limited to specific use cases

3. Visionaries

Openness and flexibility

4. Niche players

Do well in a specific segment

BI REFERENCE ARCHITECTURE

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DATA COLLECTION & ETL

Extract

• Connect to data end points

• Retrieve data in specific formats

Transformations

• Data conversion

• Validation

• Computation

Load

• Save into target tables

ETL

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DWH & DM

Data modelling techniques

3 NF

• Tables, Primary key, Foreign key

Data vault by Dan Lindsted

• Hub, Link, Satellite

• Point in time, Bridge, Reference

Data mart by Ralph Kimball

• Dimensions and facts

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INFORMATION DELIVERY

Information portals

- Reports

- Fact sheets

- Dashboards

- Data feeds

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REFERENCES

[1] How to measure everything, Finding the value of “intangibles” in business, Douglas W. Hubbard

[2] DWH 2.0, Bill Inmon

[3] Chriss Web BI Blog, http://cwebbbi.wordpress.com/

[4] Coursera: Computing for data analysis, https://www.coursera.org/course/compdata

[5] Gartner Magic Quadrant: http://www.gartner.com/technology/reprints.do?id=1-1DYXHVT&ct=130206&st=sg

[6] Tidemark – analytics reimagined, http://tidemark.net/

[7] Domo knows BI, http://www.domo.com

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QUESTIONS AND ANSWERS