Doing more with less using Doing more with less using Business Intelligence

Davide Hanan

QlikView

Jeremy Hurter

Durban ICC

Agenda

• Doing more with what you have

• Implementing BI with less

• Case study

2

In the past 20

We all have a data gold mine

Executive• Balanced Scorecard

• Performance Management

• Predictive Analysis

• What-if Analysis

• Activity-Based Management

Finance & HR• Financial Consolidation Reporting

• P&L Analysis by Division / Business Unit

• IFRS / GAAP / SOX Compliance

• Risk Management & Sustainability Report

• Workforce and Benefits Analysis

In the past 20

years, we have

computerised just

about every aspect

of our businesses

3

Sales& Marketing• Sales Planning Analysis

• Customer Analysis

• Campaign Performance Analysis

• Product Profitability / Price Waterfall

• Contact Center / SR Performance

Supply Chain• Demand Planning

• Procurement Analysis

• Supplier Performance

• Inventory and Warehouse Management

• Logistics & Fulfillment Analysis

Operations • Production Planning & Scheduling

• Production Management

• Quality Management

• Six Sigma / Process Analysis

• Plant / Equipment Maintenance Analysis

R&D and IT• Product Portfolio Analysis

• Product / Project Management

• System Performance Controlling

• Service Level Reporting

• Infrastructure Planning / Sizing

Dashboards

Analysis

Reporting

16% increase in revenue

23% increase in cash flow

Benefits of BI

survey (QlikView customer base)

20% decrease in operating costs

34% increase in employee productivity

16% increase in revenue

Poor decisions are being taken

every day, because people don’t

5

every day, because people don’t

have access to the right facts.

BI delivery

• Average implementation time1:– 17 months in total; 5 months to deploy

the first usable analytic application

• Mean annual expenditure on BI software2:

– $1.1 million for companies with >1,000 employees

23%

16%

25%

20%

25%

30%

Implementation Time for BI Initiative1

6

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

• Project success rate1:– 31% success rate, at best

• Meeting needs - right data to right person2:

– Only 36% are confident that reports and dashboards deliver the right data, to the right person, at the right time

16%

11%

7%

5%

12%

0%

5%

10%

15%

Less

than 2

months

2 – 5

months

6 – 11

months

12 – 17

months

18 – 24

months

25 – 48

months

49

months

or more

11%

26%

1 It's in trouble and may not survive

2 It has momentum but needs to prove itself

What is the current status of your BI solution?

ITWeb BI2010 survey

44%

16%

3%

3 It delivers some business value but is not yet considered a success

4 It delivers significant business value and is considered a success

5 It delivers a very high degree of business value and is considered a runaway success

7

Why the failure?

• Too complicated

• Report centric

“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

• Too dependent on IT

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“... reporting remained the dominant style of information

delivery of BI 2009 ....”Gartner BI Quadrant report – January 2010

“My users are stupid. They want to be spoon-fed”

“My MD is not IT literate. He needs his report on paper”

The tools that are developed at any point in

time are always a reflection of the technology

9

time are always a reflection of the technology

available at that time

From the solid stone wheel ....

10

... to the hub less wheel

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Traditional BI stack

OLAP cubes

User Interface • Hide complexities of the BI stack

Easy access to 1989

CPU No

Memory No

Disc Yes

The OLAP cube based on pre-aggregation of data

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Data Warehouse

Data Marts

Integration Layer (ETL)

ERP CRMUnstructured

Data

• No easy access to multiple sources of data

• Minimise impact of queries on source data

• ‘Clean & massage’ data

Computer Laws

13

Moore’s law: processor performance will double every 2 years

Declining RAM prices ( /10 every 5 years)• 2000: $1000/GB• 2005: $100/GB

Processor performance

Intel labs:Intel labs:• 256 cores• 1 TB RAM

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

Simplifying the BI stack

• Large packaging

company

– Full BI implementation < Quoted cost for a Data Warehouse

Traditional BI Stack

Data Marts

OLAP, Query and

Reporting tools

User Interface,

Dashboards,

Scorecards, Reports

• User Interface

• Chart and Report Engine

• Analysis Engine

• Data Compression

Associative in-memory BI

• Large insurance

group

– Canned planned Data Mart project: saving R1,400,000

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Data Warehouse

Data Marts

Integration Layer (ETL)

ERP CRMUnstructured

Data

• Data Compression

• Integration

ERP CRMUnstructured

Data

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 • 6.5 month payback period

Time to Value44% deployed QlikView in 1 Month

77% deployed QlikView in 3 Months

50% reduction in information access and analysis time

-100 0 100

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

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• WTA - Africa’s Leading Convention Centre

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

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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• 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.

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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.the board.

• We are also able to automate the bulk of all other non

financial reporting and analysis

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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 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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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• 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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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

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• Adding more objects

• QVD files – IT

• Work without disturbing source data

• Quickly add more structure in a relational database way

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• Looks great and everything relates

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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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Questions?

Thank You

Questions?