Business Intelligence: A company - PowerPoint PPT Presentation

1 / 69
About This Presentation
Title:

Business Intelligence: A company

Description:

Title: Test Author: Fred Joosten Last modified by: Ravinder Created Date: 7/10/2001 12:28:39 PM Document presentation format: On-screen Show (4:3) Company – PowerPoint PPT presentation

Number of Views:146
Avg rating:3.0/5.0
Slides: 70
Provided by: FredJo5
Category:

less

Transcript and Presenter's Notes

Title: Business Intelligence: A company


1
Business IntelligenceA companys CIA?
2
Business Intelligence
  • Get more knowledge about your business
  • Why?

3
Why?
  • to make better decisions
  • ? Need for BIA

4
Definition
  • BI refers to skills, knowledge, technologies,
    applications, quality, risks, security issues and
    practices used to help a business to acquire a
    better understanding of market behaviour and
    commercial context.
  • For this purpose it undertakes the collection,
    integration, analysis, interpretion and
    presentation of business information

5
(No Transcript)
6
Corporate Performance Management CPM
  • All of the processes, methodologies, metrics and
    systems needed to measure and manage the
    performance of a company.

7
Flexibility innovation
  • Companies need accurate knowledge to make the
    right decision fast

8
Speed of decision making
9
Not enough information?
10
Information easy accessible?
11
Amount of information managers receive that has
no value
  • 0 30
  • 30 50
  • Over 50

12
Amount of information managers receive that has
no value
  • 0 30
  • 30 50
  • Over 50

13
How much time do managers waste each day,
searching for information?
  • 0 30 min
  • 1 3 hr
  • gt 3 hr

14
How much time do managers waste each day,
searching for information?
  • 0 30 min
  • 1 3 hr
  • gt 3 hr

15
What of managers accidently use the wrong
information, at least once a week?
  • 0 30
  • 30 50
  • Over 50

16
What of managers accidently use the wrong
information, at least once a week?
  • 0 30
  • 30 50
  • Over 50

17
And some more facts
  • 7 to 20 of an employees time is spent
    replicating answers for others
  • 6 to 12 of an employees time is spent locating
    information resources
  • lt 20 of the knowledge available to the company
    is actually utilised
  • 50 of files and e-mails are stored in the wrong
    folders

18
Cost of inproductivity?
  • Direct cost is 39 to 100 per day per employee
  • Indirect cost much higher!

19
What Are Key Performance Indicators (KPI)?
  • Key Performance Indicators are quantifiable
    measurements, agreed to beforehand, that reflect
    the critical success factors of an organization.

20
Information? To know what? KPIs
  • Key Performance Indicators
  • Only Key when it is of fundamental importance in
    gaining competitive advantage and is a make or
    break component in the success or failure of the
    enterprise.
  • Only relating to Performance when it can be
    clearly measured, quantified and easily
    influenced by the organisation. For example,
    weather influences many tourist related
    operations but the organisation cannot
    influence the weather. Sales growth may be an
    important performance criteria but targets must
    be set that can be measured.
  • Only an Indicator if it provides leading
    information on future performance.
  • Example
  • Load factor gt 80 per month
  • Time to market for new products lt 2 months

21
CSF critical success factor
  • something that needs to be in place to achieve
    the KPI objective
  • Critical factors/activities for success in your
    business
  • Example
  • install a help desk for handling complaints
  • Short time to market for new products

22
KPI in your dashboard
  • Which KPIs for your airline/hotel?

23
BI gap
24
Better and faster decisions
25
Business Intelligence
  • Offers clear and relevant information and
    powerful analysis tools
  • To whom?

26
Used by whom?
  • By all managers to make the right decisions in a
    timely manner

27
Business Intelligence
  • is a system that uses application software and
    other technologies to
  • gather
  • store
  • analyze
  • and provide access to data.
  • the process of enhancing data into information
    and then into knowledge.

28
Business Intelligence
  • allows people to
  • use corporate data to support decision-making
  • explore and analyze data to reveal trends within
    a business.

q
29
About the importance of BI .
ICT managers consider Business Intelligence as
their 1st priority of 2011 !
75 of the services sector have BI-software.
This will increase. Even the public sector,
education and the health care follow.
Evolution from transaction driven to knowledge
driven steering of companies.
30
BI technical overview


Business Intelligence Intensive Program
Page 30
31
ETL definition
  • Extract, Transform, and Load (ETL) is a process
    in data warehousing that involves
  • extracting data from outside sources
  • transforming it to fit business needs (which can
    include quality levels)
  • loading it into the end target, i.e. the data
    warehouse

32
OLAP
  • Enables managers to interrogate consolidated data
    interactively
  • Analytical operations include
  • Consolidation (aggregation of data)
  • Drill-down (and display detail data)
  • Slicing and dicing (look at database from
    different viewpoints)

33

Product Chocolate
Concept of a Cube or Pivot Table
Date May 2008
Region South East
Measure Sales

Date
Region
Product
How much Chocolate did we sell in the South East
in May 2008?
34
Sales example BI Questions
  • What happened?
  • What were our total sales this month?
  • Whats happening?
  • Are our sales going up or down, trend analysis
  • Why?
  • Why have sales gone down?
  • What will happen?
  • Forecasting What If Analysis
  • What do I want to happen?
  • Planning Targets

35
Related to
CRM
DM
KM
CPM
BSC
ManagementCockpit
DWH
ERP
EIS
DSS
OLAP,MDDB
36
How Data Analysis has Affected Enterprise
Performance Over Time
37
Tool categories BI
  • OLAP (Online Analytical Processing) sometimes
    simply called "Analytics"
  • Data warehouses
  • Data marts
  • Data mining (DM)
  • Business Performance Management (BPM)
  • Scorecarding, Dashboarding and Information
    visualization
  • Text mining
  • Executive Information Systems (EIS)
  • Decision Support Systems (DSS)

38
Manager as a pilot
39
Management Cockpit
40
Dashboards - A High-Level View for Executives and
Managers
41
Dashboard (1)
42
Dashboard (2)
43
  • Reporting WHAT is
  • Olap (On Line Analytical Processing) WHY is
  • Visualisation HOW is
  • Data Mining /Textmining WHERE is

44
What-if and forecasting
  • Actions pre calculations to gain insight in
    consequences
  • what-if company specific correlations in
    scenarios
  • forecasting predict future results based on
    historical data

45
The BI vendors since 2008 Strategic Partnerships
PerformancePoint Server
SAS Activity-Based Management  SAS Financial
Management  SAS Profitability Management  SAS
Strategic Performance Management 
Page 45
46
Gartner Reference Business Intelligence
Platforms, 2009
47
Gartners magic quadrant 2011

48
What does Gartner say?
  • BI-platforms allow organisations to build
    applications that allow them to better understand
    their business.
  • Gartner describes leaders as suppliers who are
    strong concerning coverage and depth of the
    functionality of their BI platform and who
    realise company-wide implementations, supporting
    a wide BI-strategy.
  • They offer a clear proposal for woldwide
    implementation

49
Evolution of BI
  • In the 1990s BI was tactical
  • In the 2000s it has become strategic
  • Next stage will be ubiquity
  • BI _at_

50
BI _at_
  • Infrastructure provided centrally by IT
  • Standard across the organisation
  • All users make use of it
  • Access outside and inside the organisation
  • Unthinkable not to have it
  • Business Intelligence just like e-mail

51
Criminal network activity
52
Gang network
53
Drill down / Roll up
Drill down Zoom into the Information Use
hierarchies -gt Go from Europe to Netherlands to
Eindhoven Roll Up Zoom out Opposite direction
-gt Go from Eindhoven to Netherlands to Europe

Page 53
54
Drill down / Roll up
Drill down example
  • Problem There is a sudden drop in sales last
    month
  • Look at the sales numbers for an explanation
  • Drill down to the different product types
  • The ice cream products sold significantly lower
    on some days then on others
  • Drop in some days due to bad weather

Page 54
55

Page 55
56
OLAP database size

Page 56
57
OLAP database size

Average number of Products 15
Page 57
58
OLAP database size
Albert Heijn
Average number of Products 15
Average time to checkout 1 min
Page 58
59
OLAP database size
Albert Heijn
Average number of Products 15
Average time to checkout 1 min
Page 59
60
OLAP database size
Albert Heijn
Average number of Products 15
Average time to checkout 1 min
Average amount of checkouts 5 (open all day)
Page 60
61
OLAP database size
Albert Heijn
Average number of Products 15
Average time to checkout 1 min
Average amount of checkouts 5 (open all day)
15 (1 60 12) 5 ?
Page 61
62
OLAP database size
Albert Heijn
Average number of Products 15
Average time to checkout 1 min
Average amount of checkouts 5 (open all day)
15 (1 60 12) 5 54.000
Page 62
63
OLAP database size
Albert Heijn
Average number of Products 15
Average time to checkout 1 min
Average amount of checkouts 5 (open all day)
15 (1 60 12) 5 54.000
54.000 800 ?
Page 63
64
OLAP database size
Albert Heijn
Average number of Products 15
Average time to checkout 1 min
Average amount of checkouts 5 (open all day)
15 (1 60 12) 5 54.000
54.000 800 43.200.000
Page 64
65
OLAP database size
Albert Heijn
Average number of Products 15
Average time to checkout 1 min
Average amount of checkouts 5 (open all day)
15 (1 60 12) 5 54.000
54.000 800 43.200.000
43.200.000 356 ?
Page 65
66
OLAP database size
Albert Heijn
Average number of Products 15
Average time to checkout 1 min
Average amount of checkouts 5 (open all day)
15 (1 60 12) 5 54.000
54.000 800 43.200.000
43.200.000 356 ?
15.379.200.000
Page 66
67
Reports
Routine / Ad Hoc
  • Routine
  • Weekly sales figures
  • Daily production numbers
  • Hours worked each month
  • Ad Hoc
  • Why do our sales drop in September?
  • Which products sells the best?
  • ?

Page 67
68
Slicing Dicing
Slicing
All sales numbers only for NL / Europe / Eindhoven
Page 68
69
Slicing Dicing
Dicing
All sales numbers only for NL BE AND Only for
Internet and mail order sales
Page 69
Write a Comment
User Comments (0)
About PowerShow.com