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Page 1: Discover the QlikView Way

Discover The QlikView Way

Matthew Stephen

Solutions Consultant

Page 2: Discover the QlikView Way

“How you gather, manage, and use information will determine whether you win or lose.”

1999

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Agenda

• Business Discovery

– taking Business Intelligence to the next level

• Traditional Business Intelligence vs QlikView Business Discovery

• The Associative Experience

– discovery: a train of thought

• The Associative Model

– The secret to rapid development and adoption

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Business Discovery

You have data

You have people

Your people have

questions

Business Discovery has the answers

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Data Information Knowledge Understanding

Business Intelligence

Business Discovery

Shared

Understanding

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BI Reality for Many Organisations

Difficultto use

Inflexible

Costly

Slow

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Sales

Customer Product

Territory Time

The Challenge

IT Model Business Model

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I.T.Maintain systems

The BusinessMaintain profitability

The Challenge

Between 70% to 80% of corporate business intelligence projects fail, according to research by analyst firm Gartner.

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a) the business didn’t actually know what they wantedb) the business didn’t support the project properly c) Poor communication between these two groups

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E.T.C

Traditional BI

ETL – Extract Load and Transform

EDW - Enterprise Data Warehouse

Data Model (Semantic/OLAP)

Presentation Layer

Stack

DW

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E.T.C

Why A Traditional BI Stack?

ETL – Extract Load and Transform to create the data warehouse

EDW - Enterprise Data Warehouse single source of consolidated data

Data Model (Semantic/OLAP) make the data accessible to business users & OLAP cubes to make the model deliver acceptable query performance

Presentation Layer make the business insight visible

DW

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But the problem with the stack is…

• Each level requires a separate tool (platform)

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But the problem with the stack is…

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• Each tool requires a set of skills and a deployment regime

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But the problem with the stack is…

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• Which presentation tool?

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But the problem with the stack is…

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• Each tool adds to: complexity, time to value, cost, in-agility, frustration

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But the problem with the stack is…

• A data warehouse requires an architecture

– Inman or Kimball or maybe both?

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Page 16: Discover the QlikView Way

So what’s the QlikView Way?

E.T.C

QlikView does it all in one

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But How?

• The Associative Model

– Removes the ‘relational’ complexity in a data warehouse

No need for complicated ETL

– Simple data model

No need for complex data warehouse architecture/methodology

– Removes the need for OLAP cubes

In memory model gives required speed

• Single fully functional presentation layer

– The Associative experience

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Associative Analysis

my selection

associated

not associatedOpportunity

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Associative Search

• Analysis: A train of thought

Q A Q A Q A

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Demos

• Associative Analysis

– Green, white and grey in action

• The Associative Model

– Hub and spoke schema

– Removing complexity

– Enabling rapid development

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What is Knowledge?

• “There are known knowns.

– These are things we know that we know.

• There are known unknowns.

– That is to say, there are things that we know we don't know.

• But there are also unknown unknowns.

– There are things we don't know we don't know. “

Donald Rumsfeld

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What is Knowledge?

• There are known knowns.

– We can list these in standard (canned) reports

• There are known unknowns.

– We can find these in pivot tables

• But there are also unknown unknowns.

– We discover these with Business Discovery

QlikView can do all three

Page 23: Discover the QlikView Way

Thank you!


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