Business Intelligence 101 - Fordham University

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Business Intelligence 101 Business Intelligence Team SSIA, Fordham IT 3/20/13

Transcript of Business Intelligence 101 - Fordham University

Business Intelligence 101

Business Intelligence Team SSIA, Fordham IT 3/20/13

1 What is Business Intelligence?

2 Business Intelligence @ Fordham

3 Quiz

4 Demonstrations

5 Wrap up

What is BI?

• “Business Intelligence is a set of methodologies, processes, architectures, and technologies that transform raw data into meaningful and useful information used to enable more effective strategic, tactical, and operational insights and decision-making.” (Forrester Research)

• In a 1958 article, IBM researcher Hans Peter Luhn used the

term business intelligence

• In 1989, Howard Dresner proposed "business intelligence" as an umbrella term •Assumption, Guesswork, Gut Instinct, Intuition •Reliable facts, based on measurable evidence

What is BI?

Aces

Appworx

Banner Blackboard (Meal Plan)

Blackboard (Classroom Management)

Degree Works

Digital Measures

FSAAtlas

Grants

Hobsons

MonaLisa

OnBase

OneCard

Optika

Overture

PowerFAIDS

Pyramed

R25

RPlus

Titanium (Clinical data)

TK20

TM1 …

What is BI?

Data to Information to Insight

Data Warehouse

• “A data warehouse is a subject-oriented, integrated, time-varying, non-volatile collection of data in support of the management's decision-making process.” Bill Inmon

• “A data warehouse is simply a single, complete, and consistent store of data obtained from a variety of sources and made available to end users in a way they can understand and use it in a business context.” Barry Devlin, IBM Consultant

OLTP vs. OLAP

OLTP vs. OLAP

Which technology to use for: •Word processing? •Reading a book? •Photoshop? •Watching a movie?

Benefits of a DW

BI @ Fordham

• WebFOCUS (reporting.fordham.edu)

• Tableau Server (visualdata.fordham.edu)

• Data Warehouse (analytics.fordham.edu)

How many 9s in the grid below?

Is it easier to count now?

Demonstrations

• WebFocus

• Tableau Server

• Talend Data Integration

Reporting Tools

• Custom Reports Menu

• Self Service Reporting (SSR)

• InfoAssist

RRegmenu2

Menu2

Menu6

SSR1

SSR2

SSR4

SSR12

InfoAssist3

InfoAssist4

InfoAssist7

InfoAssist8

Demonstrations

• WebFocus

• Tableau Server

• Talend Data Integration

Demonstrations

• WebFocus

• Tableau Server

• Talend Data Integration

ETL visual programming with Talend

Giovanni De Marinis – Business Intelligence Analyst

Traditional coding

Traditional coding

Pros

More control

Efficiency

Compactness

Does not require an IDE

General purpose

Cons

Lack of readability

Lack of big picture

Learning curve of

PL

Debugging efforts

Maintenance

costs

Limited metadata

Reusability

Visual programming

Visual programming

Pros High readability Helps to enforce

metadata consistency

Fast learning curve Fast development Easy to maintain Visual

documentation Costs are very

much overshadowed by the benefits

Cons

Difficult to finely customize

Intrinsic limitations of the underlying programming language

ETL/ECCD

Extract Creation of a logical data mapping of source

systems

Physical extraction of data

Clean Identify and fix the errors and omissions in the

data

Conform Means resolving the labeling conflicts between

potentially incompatible data sources

Deliver Build, load and maintain fact and dimension tables

Data quality

A discipline ensuring that data is: Accurate

Complete

Consistent

Timely

Auditable

Some typical actions involve: eliminating inconsistent data

enforcing rules over data

creating consistent information through standardization

Data quality: example

Q&A

• Email [email protected]

• WebFOCUS reporting.fordham.edu

• Tableau Software visualdata.fordham.edu