Business intelligence 101

Post on 10-May-2015

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Overview of Business Intelligence Concepts for ordinary folks

Transcript of Business intelligence 101

Business Intelligence - 101

Ashok Bhatla

MS, PMP

BI Consultant

Business Intelligence is No.1 Priority for IT

Managers today.

Business Intelligence is a combination of tools, processes and software which help a company to

transform data into actionable knowledge, thereby allowing them to take informed decisions

in order to achieve their strategic goals.

It’s all about providing right

information to right people at the right

time

We are drowning in data, but starving

for knowledge

Information Technology

Management Strategy

Business Processes

Business Intelligence

Trend Analysis

Regression Analysis

Hierarchical Decision Models

Get Deeper Insights

into Business

with meaningful

data

Faster Decision making using

improved Business Processes

Improve productivity

and efficiency leading to

better profits

Improve productivity

and efficiency leading to

better profits

Define Objectives – What metrics to be

reported,

Collect and Store the right information (Storing the data in

data marts) – Gathering data from Retail Systems, Web

Site Software and Production Systems measuring quality

etc.

Analyze the data using some

statistical tools or data mining softwares

Present the information to end consumers (using

some Reports, Visualizations,

Charts, Dashboards etc.)

Make evidence based decisions to

achieve the goals of the company.

Steps in a Typical BI Process

Transactional Databases

Data Warehouse

ETL (Extract, Transform and Load

Enterprise Reporting

Business Intelligence Flow Diagram

BIG Data Characteristics

• Text, Video, Images, Logs, Sensors Data

• Streaming Data

• Terabytes to Petabytes

Volume Velocity

VeracityVariety

Big Data

Big Data Types

Big Data

Sensors Data like from Cars

Data From Mobile

Devices

RFID Data from Retail

Stores

Web Logs – like from AMAZON

and Facebook

Grid Data (like from Utilities)

Healthcare Data

( Patient Records)

Challenges of Big Data

Difficult to analyze using

traditional relational database methods

Most of the data is unstructured, in many different

formats

Tools to capture and

store the data are still evolving

Privacy and security of the data when it is stored in the public cloud