Introduction of business intelligence BI Framework What is Operational Database What is Data warehouse

1. ByThilinaWanshathilaka

2.  What is business?
 What is Intelligent?

3. – the process for understanding the past & predicting
the future based on the data available
– a broad category of technologies that allows for
• gathering, storing, accessing & analyzing data to
help business users to make better decisions
• analyzing business performance through data-
driven insight
– a broad category of applications, which include the
activities of
• decision support systems
• query and reporting
• online analytical processing (OLAP)
• statistical analysis, forecasting, and data mining.

4. – mission-critical and integral to an enterprise's
operations or occasional to meet a special
requirement
– enterprise-wide or local to one division,
department, or project
– centrally initiated or driven by user demand

5.  to help the knowledge worker (executive,
manager, analyst) make faster & better
decisions
 Organizations need various kinds of
information to support decisions and BI
systems bring all required information to one
location
 Decision-making speed if an important
success factor in the information economy
 Find the right information to analyze it

7. Operational systems are generally designed
for ease and efficiency of data storage.
There are many reasons why this is the
case:
 Data Storage limitations
 Speed of data storage
 Have good Referential Integrity
 Don’t store the same data more than once

8.  High volume of transactions.
 Small processing per transaction.
 Frequent updating of data.
 Data is always current.
 Transaction driven.
 Predictable query types.
 Static structure.
 Content varies.
 High accuracy.
 High availability.

9.  Data store that stored historical data of
organization specifically designed to support
and enhance decision making process

10.  Small volume of transactions.
 Often huge processing per transaction.
 Data output level is summary.
 Data routinely added to the system, but
hardly changed.
 Analysis driven
 Flexible results structure
 Fairly accurate' better than no result
 Medium availability
 Requires different database tools

11.  Use your intelligent and knowledge to give
me answer to the question “why we should
not use operational system for decision
making”.

12. Data Warehouses offer the flexibility needed to
cope with the Management demands. A major
issue is that often there are many differing
OLTP systems and other data storage media.
The Data Warehouse offers the opportunity to
gather these together into one system with a
unified structure.
Because data is stored in a simplified
aggregated format it allow reports to be written
by staff who have a lesser computing
background

14. Kimball believes that there are potentially four
separate sub system in Business intelligent
framework :
1. Operational Data Sources (ODS)
2. Extraction, Transformation, and Loading (ETL)
Tools
3. Data Warehouse
4. Data Presentation Tools

15.  ERP systems
 CRM systems
 File systems
 Individual files
 Legacy systems
 Logs
 Transactions
 External Data

16.  Data extraction
 get data from multiple, heterogeneous, and external
sources
 detect errors in the data and rectify them when
possible
 Data transformation
 convert data from legacy or host format to warehouse
format
 Load
 sort, summarize, consolidate, compute views and
check data integrity

17.  What is data mart?

19. 0
1
2
3
4
5
6
Category 1 Category 2 Category 3 Category 4
Series 1
Series 2
Series 3

21. Information Knowledge
Structure Analyse Apply
Data Intelligence

22.  Boyer, J. (2010) Business Intelligence Strategy.
MC Press (US).
 Marr, B. (2015) Big Data: Using Smart Big
Data, Analytics and Metrics to Make Better
Decisions and Improve Performance. 1st Ed.
JohnWiley & Sons, Ltd.
 Kaufmann,M. (2011)Data Mining Concepts
andTechniques 3rd Ed. Elsevier
 DataWarehousing Module Outline. Sheffield
Hallam University