The document discusses how businesses can do more with less using business intelligence (BI). It outlines how implementing BI with QlikView can increase productivity, revenue, and cash flow while decreasing costs. The document provides a case study of how the Durban ICC center in South Africa automated most of its reporting and analysis using QlikView, saving money by reducing staff and providing near real-time data. It highlights benefits like one-click management reporting, automating non-financial reporting, and improving monitoring, which led to savings in areas like telephony costs and debt collection.

1. Doing more with less using
Business Intelligence
Davide Hanan Jeremy Hurter
QlikView Durban ICC

2. Agenda
• Doing more with what you have
• Implementing BI with less
• Case study
2

3. We all have a data gold mine
Finance & HR Executive
• Financial Consolidation Reporting • Balanced Scorecard
• P&L Analysis by Division / Business Unit • Performance Management
• IFRS / GAAP / SOX Compliance • Predictive Analysis
• Risk Management & Sustainability Report • What-if Analysis
• Workforce and Benefits Analysis • Activity-Based Management
In the past 20
Operations Sales& Marketing
• Production Planning & Scheduling
• Production Management
years, we have • Sales Planning Analysis
• Customer Analysis
• Quality Management
• Six Sigma / Process Analysis
computerised just • Campaign Performance Analysis
• Product Profitability / Price Waterfall
• Plant / Equipment Maintenance Analysis
about every aspect • Contact Center / SR Performance
of our businesses
R&D and IT Supply Chain
• Product Portfolio Analysis • Demand Planning
• Product / Project Management Dashboards • Procurement Analysis
• System Performance Controlling • Supplier Performance
• Service Level Reporting
Analysis
• Inventory and Warehouse Management
• Infrastructure Planning / Sizing Reporting • Logistics & Fulfillment Analysis
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4. Benefits of BI
survey (QlikView customer base)
23% increase in cash flow
16% increase in revenue
34% increase in employee productivity
20% decrease in operating costs

5. Poor decisions are being taken
every day, because people don’t
have access to the right facts.
5

6. BI delivery
• Average implementation time1: Implementation Time for BI Initiative1
– 17 months in total; 5 months to deploy
the first usable analytic application
30%
• Mean annual expenditure on BI 25%
software2: 25% 23%
– $1.1 million for companies with >1,000
employees 20%
16%
15%
• Project success rate1: 12% 11%
– 31% success rate, at best 10%
7%
5%
• Meeting needs - right data to right 5%
person2:
0%
– Only 36% are confident that reports and Less 2–5 6 – 11 12 – 17 18 – 24 25 – 48 49
dashboards deliver the right data, to the than 2 months months months months months months
months or more
right person, at the right time
1 DM Review & IDC Business Intelligence Survey, October 2006, 2004
(Material on implementation time not available in 2006 survey)
2 InfoWorld & IDC Business Intelligence Survey, October 2007
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7. ITWeb BI2010 survey
What is the current status of your BI solution?
1 It's in trouble and may not survive
11%
2 It has momentum but needs to prove itself
26%
3 It delivers some business value but is not yet considered a success
44%
4 It delivers significant business value and is considered a success
16%
5 It delivers a very high degree of business value and is
considered a runaway success
3%
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8. Why the failure?
• Too complicated
“VendorX remains much better integrated than most competing
offerings .....
.. despite it’s broad functional capabilities, most VendorX
deployments are still report-centric”
Gartner BI Quadrant report – January 2010
• Report centric
“... reporting remained the dominant style of information
delivery of BI 2009 ....”
Gartner BI Quadrant report – January 2010
• Too dependent on IT
“My users are stupid. They want to be spoon-fed”
“My MD is not IT literate. He needs his report on paper”
8

9. The tools that are developed at any point in
time are always a reflection of the technology
available at that time
9

10. From the solid stone wheel ....
10

11. ... to the hub less wheel
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12. Traditional BI stack
User Interface • Hide complexities of the BI stack
Easy access to 1989
The OLAP cube
CPU No based on pre-
OLAP cubes
Memory No aggregation of data
Disc Yes
Data Marts
• No easy access to multiple sources of data
Data Warehouse • Minimise impact of queries on source data
• ‘Clean & massage’ data
Integration Layer (ETL)
Unstructured
ERP CRM
Data
12

13. Computer Laws
Declining RAM prices
Moore’s law: processor performance will ( /10 every 5 years)
double every 2 years
• 2000: $1000/GB
• 2005: $100/GB
13

14. Processor performance
Intel labs:
• 256 cores
• 1 TB RAM

15. What’s a really large app in memory?
• 2000: 1 000 000 records
• 2004: 100 000 000 records
• 2008: 1 000 000 000 records
• 2010: 10 000 000 000 records
99% of all BI apps of Fortune 5000 companies
can fit in 1 TB of RAM

16. Simplifying the BI stack
Traditional BI Stack Associative in-memory BI • Large packaging
company
User Interface, • User Interface
Dashboards, – Full BI
Scorecards, Reports
• Chart and Report implementation <
Engine
OLAP, Query and Quoted cost for a
Reporting tools
• Analysis Engine Data Warehouse
Data Marts • Data Compression
• Integration • Large insurance
Data Warehouse
group
Integration Layer (ETL) – Canned planned
Data Mart project:
saving R1,400,000
Unstructured Unstructured
ERP CRM ERP CRM
Data Data
16

17. Achieving The Impossible:
The QlikView Customer Experience
BI Initiative Success and Satisfaction
• 96% of customers are satisfied with QlikView
ROI (Return On Investment)
• 186% Return On Investment
• 6.5 month payback period
Time to Value
44% deployed QlikView in 1 Month
77% deployed QlikView in 3 Months
50% reduction in information access and analysis time
-100 0 100

18. ICC Durban
• Catalyst for economic growth, foreign investment
• Host meetings, conventions, exhibitions, music concerts,
government meetings.
• 2.7 billion economic impact - 2009
• In operation for 12 years
• WTA - Africa’s Leading Convention Centre
18

19. ICC Durban
• Strong turnover growth in the past 4 years
• Host meetings, conventions, exhibitions, music concerts
• Highly competitive environment
• Cost control is extremely important
• Large volumes of data
19

20. My BI Experience
• Worked and designed power cubes, reports etc in Cognos,
Business Objects, MS Access and Excel…
• Things I hate:-
• Queries that take hours
• Old data (warehouses beware)
• Relying on others to deliver my info
• Regurgitating information into other reports
• Relying on others to interpret information
• Spreadsheets…with some exceptions
• Wasting time on anything that can be automated
• It’s not about how the report looks like its about whether
you can get what you need.
20

21. ERP Systems and Deliverables
• If you are running an ERP/integrated system, surely all
reporting must be automatic requiring no double capture of
data ?
• At the ICC we have managed to automate the bulk of
analysis resulting in one click management accounts.
These are used at monthly meetings and are submitted to
the board.
• We are also able to automate the bulk of all other non
financial reporting and analysis
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22. Benefits and Savings achieved
• Management accountant no longer required
• Managed to deliver with significantly fewer finance
department staff
• No delay between last journal entry and availability of
management accounts
• Staff do not have to spend time compiling reports but can
concentrate on performing their function (especially sales
staff).
• What gets monitored gets managed:-
– Telephony (45% saving per month)
– Point of Sales
– CRM and lead management
– Guest and customer feedback
– Major improvement in debt collection and credit control
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23. Why we choose QlikView…
• Utilises multiple data sources – even spreadsheets or
whatever is available
• Applies queries and calculates consistently and uniformly
• Forms a basis for growth and development
• User access can be implemented in minutes
• Next month just update instead of re-inputting
• Quickly clone charts and develop report ready material.
• Complex calcs are easy to input and copy
• Fun once you are up and running (wow your friends and
colleagues)
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24. Why this kicks the spreadsheets a@#$$ ….
• Many companies have great ERP however at the end of the
month they spend hours re-capturing info into spreadsheets
– WHAT A WASTE OF TIME !
• Gartner study
• Spreadsheets are far more unstructured
• Underlying queries and data still require secure access
• Adding more objects
• QVD files – IT
• Work without disturbing source data
• Quickly add more structure in a relational database way
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25. What about IT department ?
• Develop and then hand over to IT for quality control and
deployment
• User access is so simple compared to any other BI tool I
have seen
• Once you have base model for an area of business you can
continue to grow and expand… nothing is lost
• Looks great and everything relates
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26. What must change ?
• Break free of old rigid reporting formats
• Move to online analytics rather than old fashioned reports
• Ensure buy-in from departments
• Time is money, the higher the quality of information the
better and faster decisions can be made !
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27. Questions?
Thank You