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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




                                    Business
                      Your people
You have   You have                 Discovery
                         have
  data      people                   has the
                       questions
                                    answers
Business Discovery


       Business Intelligence


                                           Shared
Data          Information   Knowledge   Understanding
                                        Understanding
BI Reality for Many Organisations


              Difficult
              to use



              Inflexible



               Costly



                Slow
The Challenge


IT Model                   Business Model


                     Customer          Product

                               Sales


                      Territory         Time
The Challenge

                  I.T.                                      The Business
           Maintain systems                              Maintain profitability



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




   Between 70% to 80% of corporate business intelligence projects
   fail, according to research by analyst firm Gartner.
Image: jscreationzs / FreeDigitalPhotos.net
Traditional BI
                           Stack
                        Presentation Layer



                   Data Model (Semantic/OLAP)



                 EDW - Enterprise Data Warehouse
DW


                 ETL – Extract Load and Transform




                                                    E.T.C
Why A Traditional BI Stack?


               Presentation Layer make the business insight visible



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



       EDW - Enterprise Data Warehouse single source of consolidated data
DW


          ETL – Extract Load and Transform to create the data warehouse




                                                                      E.T.C
But the problem with the stack is…

  • Each level requires a separate tool (platform)




Image: jscreationzs / FreeDigitalPhotos.net
But the problem with the stack is…

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




Image: renjith krishnan / FreeDigitalPhotos.net
But the problem with the stack is…

   • Which presentation tool?




Image: ddpavumba / FreeDigitalPhotos.net
But the problem with the stack is…

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




Image: scottchan / FreeDigitalPhotos.net
But the problem with the stack is…

  • A data warehouse requires an architecture
        – Inman or Kimball or maybe both?




Image: jscreationzs / FreeDigitalPhotos.net
So what’s the QlikView Way?




      QlikView does it all in one




                              E.T.C
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 associated
                         Opportunity
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!

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Discover the QlikView Way

  • 1. Discover The QlikView Way Matthew Stephen Solutions Consultant
  • 2. “How you gather, manage, and use information will determine whether you win or lose.” 1999
  • 3. 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
  • 4. Business Discovery Business Your people You have You have Discovery have data people has the questions answers
  • 5. Business Discovery Business Intelligence Shared Data Information Knowledge Understanding Understanding
  • 6. BI Reality for Many Organisations Difficult to use Inflexible Costly Slow
  • 7. The Challenge IT Model Business Model Customer Product Sales Territory Time
  • 8. The Challenge I.T. The Business Maintain systems Maintain profitability a) the business didn’t actually know what they wanted b) the business didn’t support the project properly c) Poor communication between these two groups Between 70% to 80% of corporate business intelligence projects fail, according to research by analyst firm Gartner. Image: jscreationzs / FreeDigitalPhotos.net
  • 9. Traditional BI Stack Presentation Layer Data Model (Semantic/OLAP) EDW - Enterprise Data Warehouse DW ETL – Extract Load and Transform E.T.C
  • 10. Why A Traditional BI Stack? Presentation Layer make the business insight visible Data Model (Semantic/OLAP) make the data accessible to business users & OLAP cubes to make the model deliver acceptable query performance EDW - Enterprise Data Warehouse single source of consolidated data DW ETL – Extract Load and Transform to create the data warehouse E.T.C
  • 11. But the problem with the stack is… • Each level requires a separate tool (platform) Image: jscreationzs / FreeDigitalPhotos.net
  • 12. But the problem with the stack is… • Each tool requires a set of skills and a deployment regime Image: renjith krishnan / FreeDigitalPhotos.net
  • 13. But the problem with the stack is… • Which presentation tool? Image: ddpavumba / FreeDigitalPhotos.net
  • 14. But the problem with the stack is… • Each tool adds to: complexity, time to value, cost, in-agility, frustration Image: scottchan / FreeDigitalPhotos.net
  • 15. But the problem with the stack is… • A data warehouse requires an architecture – Inman or Kimball or maybe both? Image: jscreationzs / FreeDigitalPhotos.net
  • 16. So what’s the QlikView Way? QlikView does it all in one E.T.C
  • 17. 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
  • 18. Associative Analysis my selection associated not associated Opportunity
  • 19. Associative Search • Analysis: A train of thought Q A Q A Q A
  • 20. Demos • Associative Analysis – Green, white and grey in action • The Associative Model – Hub and spoke schema – Removing complexity – Enabling rapid development
  • 21. 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
  • 22. 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