2. Data Growth
• Corporate data is undoubtedly one of the
most critical assets of any company
• Data is growing by 100% Every year
• Data generated in the 3 years is equivalent to
previous 30 years..
8. Data vs Information
Data
• A “given,” or fact; a number, a statement, or a
picture
• Represents something in the real world
• The raw materials in the production
Information
• Data that have meaning within a context
• Data in relationships
• Data after manipulation
9. CURRENT STATUS OF DATA
What do
I do???
How do I increase
sales????
How do I make my
product better???
Mountains of Data Business Users
10. DATA – WHAT DO WE DO ??????
Organizations have LOTS of Data
Data is not in a form that is useful to Decision-Makers
Not easy to Review
Not Informative nor Insightful
11. THE PROBLEM
How do I retain
customers?
How do I increase
GAP sales????
How do I make my
product better???
Mountains of Data Business People
The Problem
12. WHERE DO THESE DATA COME FROM ?
Sales Procure- Operations Finance
ment
Reporting
Layer
Transaction
Layer CRM SCM MRP Finance
SILOS OF DATA BY FUNCTIONAL AREA
13. WHERE DO THESE DATA COME FROM ?
Sales Sales Sales Sales
Reporting
Layer
Transaction
Layer
Div 2 Region: B Region: A Div 1
SILOS OF DATA WITHIN ORGANIZATIONS
14. Common Pain Points ...
• Data everywhere, information no where
• Different users have different needs
• Excel versus PDF
• Pull versus push
• On demand – on schedule
• Your format – my format
• Takes too long – wasted resources/efforts
• Security
• “Why I just can’t get it to you when you want it”
14
15. Data Manipulation
Example: customer survey
• Reading through data collected from a
customer survey with questions in various
categories would be time-consuming and
not very helpful.
• When manipulated, the surveys may
provide useful information.
16. The existing Reporting system..
• You’re battling to answer basic questions about your business
• You spend more time collecting data than analyzing it
• You’re drowning in reports
• You have problems with the quality of the information you use
• You’re forced to make decisions with insufficient facts and
information
• You are having problems to combine data across different
systems and platforms
• You’re frustrated with the complexities of OLAP and one
dimensional view in Excel
18. Information & Management levels
High level reports
Executive Information
Decision Support
Queries and Report
Transaction Data
19. Types of Information Systems
• Transaction Processing Systems (TPS)
• Management Information Systems (MIS)
• Decision Support Systems (DSS)
• Executive Information System (EIS)
• Business Intelligence (BI)
20. Transaction Processing Systems (TPS)
• Designed to Staff and day-to-day transactions
• Automate handling of data about business activities
(transactions)
• Mostly transactions Eg.
• Entering Purchase orders
• Making sales invoices
• Entering production data
21. Management Information Systems (MIS)..
• Designed for the Managers
• Converts raw data from transaction processing
system into meaningful form
• Mostly reports and charts Eg.
• Value of Pending orders till date
• Sales made for the month of June
• Profit for the quarter
22. Decision Support Systems (DSS)
• Designed to help decision makers
• Provides interactive environment for decision
making
• What if Analysis and Extrapolations Eg.
• Value of sales in the month of March 2007 compared to
March 2006
• Reduction in sales value due to Price reduction
23. Executive Information System (EIS)
• Designed to the Top Management – Directors,
CEOs
• Graphs and High level Drill down Data
• Key business and Industry area Eg.
• Profit on Cleaning machines for Second Quarter
compared to First Quarter
• Sales forecast for the next 5 years
• Achieving 50% sales through exports
26. The general categories of BI tools
• Spreadsheets
• Reporting and querying software
• tools that extract, sort, summarize, and present selected data
• OLAP
• Digital Dashboards
• Data mining
• Decision engineering
• Process mining
• Business performance management
• Local information systems
27. Evolution from Static Report to BI…
High
2002
Action – Business Intelligence
1996 Advice – Data Mining
User
Interaction Analysis – Online Analytical Processing
1992
Investigation – Executive Information Systems
1985 Aggregation – Management Information Systems
Low Reporting – General Reports
Low
Analytical Features High
28. Evolution from Static Report to BI…
BI Tools
Digital Dashboards
Visual Charts
Plain Text Reports
29. WHAT IS BUSINESS INTELLIGENCE (BI) !
Business Intelligence Is The Processes,
Technologies, And Tools That Help Us Change
Data Into Information, Information Into
Knowledge And Knowledge Into Plans That
Guide Organization
Technologies For Gathering, Storing,
Analyzing And Providing Access To Data To
Help Enterprise Users Make Better Business
Decisions
30. What is Business Intelligence?
• Business Intelligence (BI) is about getting
• the right information,
• to the right decision makers,
• at the right time.
• BI is an enterprise Software
• BI leads to:
• Fact-based decision making
• “single version of the truth”
• BI includes reporting, analysis and decision
making.
31. WHAT IS BUSINESS INTELLIGENCE
IN SUMMARY
Data Analytics & Business Intelligence provide the Right
Information at the Right Time in the Right Way for more
profitable decision-making.
Data Analytics with BI forms an Enterprise-wide platform
for querying, analysis and Reporting to make better
decisions.
Advanced BI solutions provide interactive analysis by
integrating departments and Functions into one holistic view.
32. Technologies Supporting BI
• Database systems and database integration
• Data warehousing, data stores and data marts
• Enterprise resource planning (ERP) systems
• Query and report writing technologies
• Data mining and analytics tools
• Decision support systems
• Customer Relation Management software
• Product Lifecycle Management (PLM) systems
33. Business Intelligence
Improving organizations by
providing business insights
to all employees leading to
• Better
• Faster
• More relevant decisions
Advanced Analytics
Self Service Reporting
End-User Analysis
Business Performance Management
34. Why BI?
The Five Questions
• What happened? Past
• What is happening?
• Why did it happen? Present
• What will happen?
• What do I want to happen? Future
Misc
Data ERP CRM SCM 3Pty Data
35. Why BI?
Make more informed business decisions
• Competitive and location analysis
• Customer behavior analysis
• Targeted marketing and sales strategies
• Business scenarios and forecasting
• Business service management
• Business planning and operation optimization
• Financial management and compliance
36. WHO USES BI
There are many different users who can
benefit from business intelligence
Executives
Business Decision Makers
Information Workers
Line Workers
Analysts
51. Key Performance Indicator (KPI)
Key Performance Indicator (KPI) is a measure of
performance of
- an Organisation
- a Department
- an Individual
Such measures are commonly used
to help an organization define and
evaluate how successful it is,
typically in terms of making
progress towards its long-term
organizational goals
52. KPI’s As Dash Board Elements
Manufacturing KPIs
• Production Capacity Trends
• Projected Inventory Surplus
• Days on Hand
• Production Shortage as percentage (%) of Demand
• Inventory Turns
• Production Cycle
• Equipment Utilization percentage (%)
53. KPI’s As Dash Board Elements…
Financial KPIs
• Inventory level at a given time
• Collections made during the day
• Days in Accounts Receivable
• Net Collection Percentage
• Percent of A/R over 90 days
• Profit before Tax
56. BI’ Help in a Manufacturing Industry
Increase the value of customer relationships
Respond quickly to changing markets and company sensitivities
Accelerate new product time-to-market
Reduce inventory investment
Improve planning, scheduling, and the procurement schedule
Maintain and develop quality assurance
Select and apply world-class technologies
57. Data for BI
LAN/WAN
Branches
Server
Internet/ Intranet
Data Acquisition
Programs
Operational Systems
(Systems of Record)
58. General purpose of BI
• Single Source of the Truth
• Increased Reporting Accuracy
• Spots Opportunity and Risks business-wide
• Conduct “what-if” analysis
• Tracks Past, Present and Future Business Scenarios
• Faster Deployment Time, Easy to use and meant for
executives for decision-making
60. BI Vendors in The Market
No. Business Intelligence Tool Vendor
1. Oracle Enterprise BI Server Oracle
2. SAP Business Objects Enterprise SAP
3. SAP NetWeaver BI SAP
4. SAS Enterprise BI Server SAS Institute
5. Microsoft BI platform* Microsoft
6. IBM Cognos Series 8 IBM
7. Board Mgt Intelligence Toolkit Board International
8. BizzScore Suite EFM Software
9. WebFocus Information Builders
10. QlikView QlikTech
11. Microstrategy Microstrategy
12. Oracle Hyperion System Oracle
13. Actuate Actuate