Discover The QlikView Way

Matthew Stephen

Solutions Consultant

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

1999

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

Business Discovery

You have data

You have people

Your people have

questions

Business Discovery has the answers

Data Information Knowledge Understanding

Business Intelligence

Business Discovery

Shared

Understanding

BI Reality for Many Organisations

Difficultto use

Inflexible

Costly

Slow

Sales

Customer Product

Territory Time

The Challenge

IT Model Business Model

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

E.T.C

Traditional BI

ETL – Extract Load and Transform

EDW - Enterprise Data Warehouse

Data Model (Semantic/OLAP)

Presentation Layer

Stack

DW

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

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

But the problem with the stack is…

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• Which presentation tool?

But the problem with the stack is…

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

But the problem with the stack is…

• A data warehouse requires an architecture

– Inman or Kimball or maybe both?

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So what’s the QlikView Way?

E.T.C

QlikView does it all in one

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

Associative Analysis

my selection

associated

not associatedOpportunity

Associative Search

• Analysis: A train of thought

Q A Q A Q A

Demos

• Associative Analysis

– Green, white and grey in action

• The Associative Model

– Hub and spoke schema

– Removing complexity

– Enabling rapid development

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

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

Thank you!