QLIK 2012 Investor Day Presentation

QlikTech Investor Day Overview

Bill Sorenson, CFO

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© 2012 Qlik Technologies Inc. All rights reserved. QlikTech and QlikView are trademarks or registered trademarks of Qlik

Technologies Inc. or its subsidiaries in the U.S. and other countries. Other company names, product names and company logos

mentioned herein are the trademarks, or registered trademarks of their owners.

Agenda

8:30 - 9:00am Lars Björk, CEO, Market Positioning and Opportunity

9:00 - 10:00am Anthony Deighton, CTO, Big Data for the People

Google - Carlos Cuesta, New Business Development, Cloud Platforms

Cloudera - Patrick Angeles, Director of Architecture

Demos

10:00 - 10:15pm break

10:15 - 11:15pm Citi - Jonathan Cheris, Senior Vice President, Business Analysis

Deloitte - Casey Graves, Principal, Health Plans/Technology Strategy

Symphony Health - Jason Wreath, Entrepreneur-in-Residence

11:15 - 11:45am Les Bonney, Go to Market Strategy

11:45 - 12:15pm Donald Farmer, VP Product Management, QlikView.next

12:15 -12:45pm Management Q&A

12:45 - 2:00pm Lunch, Demos available

Thank you!

Analyst Day

Lars Björk, CEO

We believe data can change the world

Touch 1 Billion lives

$1 Billion+ Company

Our Market Disruption Continues

“QlikTech's mind share far outpaces its installed base. Conversations

with BI Summit attendees indicated that the company is perceived

as ‘the class’ of the next generation of pure-play BI vendors.”

“We did come away from the BI Summit most impressed with the

momentum exhibited by QlikTech. Among our coverage universe,

it remains the most leveraged vendor in the emerging trends of BI.”

QlikTech, in Gartner Invest's opinion, is the perceived data discovery

/visualization leader among attendees at the BI Summit.

* Invest Insight: All the BI Dilettantes Were Present, but QlikTech Was the Belle of the Ball, 31 May 2012

The New Hybrid Data Ecosystem

* Hybrid Data Ecosystem created by Shawn Rogers and John Myers – Enterprise Management Associates.

HYBRID DATA

ECOSYSTEM

Enterprise Data

Warehouse (EDW)

Data Mart

(DM)

Discovery

Platform

Cloud Data Analytical Platform

(ADBMS)

Hadoop

NoSQL

Operational

Systems

The New Hybrid Data Ecosystem

* Hybrid Data Ecosystem created by Shawn Rogers and John Myers – Enterprise Management Associates.

HYBRID DATA

ECOSYSTEM

Enterprise Data

Warehouse (EDW)

Data Mart

(DM)

Cloud Data Analytical Platform

(ADBMS)

Hadoop

NoSQL

Operational

Systems

Discovery

Platform

The Emergence of Discovery Platforms

DATA

WAREHOUSES

REPORT-CENTRIC

ARCHITECTURE

DISCOVERY PLATFORMS

Bringing Down The Wall Between IT and Business User

Business Users say:

BI needs to be

easy to use

Existing BI

performs too slow

and I only use it to

export

to Excel

I need more

flexibility and

self service

BI projects take too

long to deploy

IT says:

Business shouldn’t

define requirements

We don’t want to

lose control of

our data

We need centralized

administration, security

and auditing

We must adhere to

corporate standards

• Control of your own Data

• Consumerization/

Democratization of IT

• Bring your own device

• Gamification

• Security

• Data Governance

• Scalability

• Corporate standards

BUSINESS USERS TO IT: IT TO BUSINESS USERS:

From “Bottom-Up” to Bridging the IT-Business User Gap

• Began tracking key patient conditions

including depression and strokes

• Highly regulated with one of most

comprehensive electronic medical record

(EMR) systems in the nation

• IT now drives the QlikView agenda

• Used for mission-critical apps, including

tracking preventable readmissions

• Now more than 1,000 users

QlikView Users’ Perspective at Allina Health

QlikView at Volkswagen AG

• 4,000 global users

• Included in CIO book of

standards

• Procurement, product

management, and sales apps

• More at VW USA, VW Sweden,

and Scania

• Business Discovery across

regions, groups, and processes

• Apps going mobile

For IT and Business Users

VISUALIZATION /

DASHBOARD TOOLS TRADITIONAL BI

QlikView: The Best of Both Worlds

Scaling: Users, Departments, Geographies and Volume

Monsanto

• Went from 50 users in Data Innovations

group for seed business to becoming IT

standard for Global Supply Chain,

Financials and Logistics.

HSBC Turkey

• Transferred 100GB of data into

QlikView in less than 2 hours.

Expanded into all departments.

.

Scaling: Users, Departments, Geographies and Volume

Mitsubishi Electric

• Data volume of nearly one million

records from SAP and SalesLogix for

its technical support and training

businesses.

Swedbank

• Deployed to more than 5,000 branch

employees in less than 6 months

• Analyzes for 260 million rows and 800

billion cells across practice areas

Positioning for Opportunity

Data Governance

Direct Discovery

Enterprise services

Blueprints and templates

5-star customer support

Industry expertise

QlikView in 2013:

A Transformational Release

• A sophisticated immersive, collaborative, mobile experience

• IT dream tool: Build once, deploy everywhere at scale

• Open platform for proliferation

Thank you!

QlikView and Big Data

November 2012

Agenda

• Big Data

• Direct Discovery

• Data Governance Dashboard

• Expressor

QlikView and Big Data at King.com

• 1.6B rows of data per day in Hadoop — 211M rows per day

extracted for analysis in QlikView

• Customer browsing activity, player interactions within each game,

many more metrics

• Results: Marketing ROI of campaigns achieved for the first time

(# of players, # of games played, time played, etc.)

The Myth of Big Data

In Many Cases, the Reality Looks More Like This

Value Is Illusive

• Big Data processing systems are about scalability, not performance

• Big Data systems were not designed for user-driven analytics

– Requires a map reduce program be written for every single question —

no concept of ad hoc querying

– Hadoop Hive was not designed for OLTP workloads, does not offer

real-time queries or row-level updates

The Gap in the Big Data Technology Market

Most of today’s Big Data solutions are

factories for processing massive

volumes of data.

Needed: business user access to Big

Data “plus” for meaningful analysis

and discovery*

* Big Data “plus” is data from Hadoop or other Big Data sources melded with CRM data, ERP

data, local spreadsheets and databases, cloud data, etc.

Image source: Wikipedia, http://qlik.to/x38BfB

A Big Data Analogy: The Last Mile Problem of Telecom

The Last Mile in Telecom Is the Most Difficult to Deliver

Big Data for the People

• With the emergence of Big Data, there

are increasing situations in which

business analysts want to work with

huge data volumes directly

• The challenge with Big Data analysis

is more than simply a matter of size —

it is finding what is relevant in this

massive amount of data

• Business users want the insights Big

Data sources could provide within the

easy to use analytics interface they

are familiar with using

QlikView Direct Discovery

• Combines the associative capabilities of the QlikView in memory

dataset with a query model where;

The aggregated query result is passed back to a QlikView object

without being loaded into the QlikView data model

The result set is still part of the associative experience

QlikView Application

QlikView In-Memory Data Model

Direct Discovery

Batch Load

• To combine the associative capabilities of the QlikView in memory dataset

with a Direct Discovery model

Hybrid mode

In memory data set (aggregated or granular) with drill down capabilities to the

details stored in the data source with Direct Discovery

Scalability not limited by memory Scalability dependant solely on source system

Associative user experience

Both in-memory and Direct Discovery data sets are associative

The QlikView experience Rapid application development, Collaborative BI, Extensibility, Mobile

QlikView Direct Discovery Benefits

• Drill down to details

– Capability to drill down to transaction level information on billion rows

• Associative data discovery on the big data

– Capability to analyze big data with the well-known, everyday use data values

• Easily expand analysis to databases that have not yet been tapped for further knowledge and insights

– Leverage any data useful for analysis without scalability limitations of loading data in memory

• Easy to implement, rapid app development QlikView experience

– Business Discovery on data sets that were previously used separately, or not used, because of their bulk and the development effort required

QlikView Direct Discovery Use Cases

• The user associative experience is possible in combination with Direct

Discovery

Business Discovery with QlikView Direct Discovery

• In the QlikView bar chart above the SalesAmount measure has not been loaded into the QlikView data model but is still available for associative analysis by Product Key.

Data Model

Direct Discovery table querying Teradata with the

In memory tables in the same data model

Billions

Thousands

Hundreds of

Thousands

Thousands

Tens

Thousands

Hundreds

Tens

Direct Discovery Partnerships…

Big data, fast insights

Carlos Cuesta

New Business Development Lead – BigQuery

BigQuery & QlikView Partnership

What is BigQuery?

BigQuery provides the

capability to query billions of

rows and terabytes worth of

data interactively. With

results in seconds, not

hours or days.

QlikView & Google

QlikView provides powerful

data visualization on top of

BigQuery data.

QlikView is one our most

strategic BigQuery partners.

Going to Market

Go-to-Market Activities:

• Sales Team Engagement

• Co-Marketing Activities

Moving forward:

• Broadening sales

programs and

distribution.

Thank you

Patrick Angeles, Director of Architecture

Partnership value

TERADATA STRENGTHS:

Confidence in decision making

Manageability

IT user focus

Scale and performance

Data Warehouse platform

Focused and trusted supplier

QLIKVIEW STRENGTHS:

Relevant decision making

Rapid time to value

Business user focus

Response time

Application platform

Broad reach and mobile

Analytics

Platform

for

Proactive

Decision

Making

Land

Expand

QlikView and Teradata

Hybrid Use Case

Selection by Business User

Sales Amount - Teradata Zip Code – In memory Data

State – In memory Data Sales Amount – Teradata Data

QlikView Lands…

BUSINESS USER

QLIKVIEW

OPERATIONAL DATA SOURCES

IT DEPARTMENT

ERP

Oracle

SFDC

DW

Excel

SQL

SAP

… Expressor Expands

BUSINESS USER

QLIKVIEW

OPERATIONAL DATA SOURCES

IT DEPARTMENT

ERP

Oracle

SFDC

DW

Excel

SQL

SAP

QLIKVIEW

EXPRESSOR

QLIKVIEW

DATA GOVERNANCE DASHBOARD

QlikView Governance Dashboard

QlikView Governance Dashboard:

Effective and Efficient

• Interactive visibility into QlikView Deployments for:

– Data lineage, impact analysis and server statistics

– Sheet objects, expressions, data sources and file details

• Answers questions:

– Metrics about QlikView apps across the deployment

– What data is or is not being used and by which apps?

– Which expressions/labels are being used the most?

• Leads to actions, including creating:

– A single common and reusable definition of the data

– A disciplined approach to provisioning data for QV apps

and the Teradata EDW

– A roadmap for expanding the EDW

Jonathan Cheris

Senior Vice President, Business Analysis Director

Citi

Agenda

• About

• Pioneering since 2007

• Innovation

• Opportunities and Challenges

• Why QlikView?

• How do we use QlikView?

• Business Impact

• Shareholder Value/ROI

• Discussion

1

About

Citi: The world’s leading global bank, Citi has

approximately 200 million customer accounts

and does business in more than 160 countries

and jurisdictions.

The Retail Bank: Primarily known as Citibank

and centered in the world's top cities, Citi's

Retail Banking network consists of more than

4,600 branches across the globe and holds

deposits exceeding $300 billion.

Decision Management:

A global community that focuses on linkages of

information, tools and analytics to execute

strategies that will create future growth.

Decision Management has professionals

embedded in business units that possess

unique market expertise, and professionals in a

centralized unit that have specializations in

advanced analytical solutions, quantitative

solutions and information solutions.

Customer

LOB, Branches,

Call Centers

Finance, Product,

Marketing, Executives

Decision Management

2

Pioneering

3

Ideas Innovation High Fives

4

Opportunity and Challenges

• QlikView

• Business Objects

• SAS

• SQL Programming

• IBM / Cognos

• Excel / Spreadsheets

• Etc.

5

Why QlikView?

• Executive visions -> reality

• Limited Business Requirements Process (BRD)

• One Version of the “Truth”

U.S. Retail Bank Suite of Solutions:

Every Retail Bank Relationship (internal)

Demographics for every MSA (metropolitan area)

Every branch in the United States (FDIC)

Customer and Market modeled behavior

Combinations of the above

All developed in-house without BRDs

6

Business Impact

QlikView shifts deliverables from “MIS” to Dashboards

Sample: ATM Usage by Branch Terminal

7

Shareholder Value

• Huge opportunity ($100M+?) and ROI, just on usage saving programmer FTE…

• Assume 100 licenses in a workgroup. Conservatively saves $2M a year based

on hours saved for 5,000 annual sessions (each license used once a week):

• Sweet Spot: What if Company had 10,000 licenses (100x), could the payoff

be $200 Million in shareholder value? Even $50 Million?

Sessions % of Sessions Hours Saved Total Hours

Saved

Calculated Savings

@$100/hr

1,000 20% 0 0 $0

1,000 20% 1 1,000 $100,000

1,000 20% 2 3,000 $300,000

1,000 20% 4 4,000 $400,000

500 10% 8 4,000 $400,000

500 10% 16 8,000 $800,000

5,000 100% 20,000 $2,000,000

Discussion 8

Casey Graves

Principal, Health Plans/Technology Strategy

Jason Wreath

Entrepreneur-in-Residence

Symphony Health Solutions

Symphony Healthcare

Medical Office

Pharmacy Hospital/

Clinic

- Sales & Marketing Analytics - Fraud, Waste & Abuse Surveillance

- Marketing ROI Measurement - Managed Care Consulting

- Sales Force Optimization - Healthcare Economics & Outcomes Research

Time To Value

Low Total Cost of

Ownership

Speed to Decision Making

Ease of Deployment

Quality of Results

Infrastructure Management

Dashboard

Unified Delivery

Action At A Glance

Delivering Localized Messages

Thanks For Your Attention

Jason wreath, entrepreneur-in-residence

[email protected]

QlikView Go-To-Market Overview

Les Bonney

Our Market Opportunity

Over

70%of business users

who still don’t use BI

Gartner: The Consumerization of BI Drives Greater Adoption

3 June 2011, James Richardson

• Chicago

• Dallas

• Düsseldorf

• Eindhoven

• Hong Kong

• Johannesburg

• London

• Madrid

• Moscow

• New York

• Oslo

• Paris

• San Francisco

• Stockholm

• St. Petersburg

• Oslo

• Singapore

• Tel Aviv

• Tokyo

• Warsaw

• And more ...

Business Discovery World Tour 2012

• Over 20 Cities

• Over 6,500 attendees

Simple, single data source need

• Strong engine in place

• Less impact from macroeconomic conditions

More complex data environment

• Addresses critical business problems

• High business value = compelling reason to buy = must have

• Deals don’t drop off, but sales cycle longer

The Balanced Business Model

Investment in Enterprise Class Capabilities

• Sales teams

• Vertical focus

• Services

• Solutions

EDUCATION CONSULTING SUPPORT

Fuelling the momentum: Partner Ecosystem

Solution Providers

OEM Partners

Business Consultants &

System Integrators

Technology Partners

Master Resellers

1400+ Partners Globally

Grow customer base

Develop custom apps

Embed QlikView into partner

solutions

Deliver services based on QlikView

Reach a wider audience

Complementary influencer

(connectors and extensions)

Fuelling the momentum: Global System Integrators

• Seamless integration into

deployments

• Every Teradata customer now

a potential QlikView customer

• Opens up Big Data white space

• Further propels enterprise

momentum

Fuelling the momentum: Big Data Opportunity

Fuelling the momentum: QlikMarket

• Discover new partner

solutions built on the

QlikView Business

Discovery platform

• Applications, connectors

and extensions

• Industry-specific

solutions

• Over 210 Partners

paticipating

• 2-3 new solutions

approved each week

Continued commitment to the SMB opportunity

• Rapid sales cycle model

• Self-service small business sales

• Effective shared resource model

for SMB support

• North America and European

SMB support hubs

• Volume and velocity for significant

revenue contribution

Moving Forward

• Accelerating all the enterprise —

building areas in sales, services,

education, support, and partnerships

• Focus on high-value Business

Discovery solutions with high

probability to close

• Keep the SMB machine moving

globally to deliver volume and

velocity for simple need deals

Thank you!

QlikView.next Donald Farmer,

VP Product Management

[email protected]

@donalddotfarmer

The Development Process

The Analytic Process

QlikView.next

Product

Development QlikView Customer

Product


Support Sustained

Engineering

Product


Support Sustained

Engineering Qoncierge

Product


Support Sustained

Engineering Qoncierge

Scalability

Center

Product


Support Sustained

Engineering

Product

Management

Qoncierge

Industry

Product


Support Sustained

Engineering

Product

Management

Product

Validation Scalability

Center

Qoncierge

Industry

Product


Support Sustained

Engineering

Product

Management

Product


Center

Labs Strategic

Prototyping

Qoncierge

Industry



QlikView.next

Information Supply Chain

Raw Data Analysis Visualization Collaboration Modelling



Big Data Report Custom Data Associate Remix



QlikView.next

Themes

QlikView.next Vision

Themes

Scenarios

Themes

QlikView.next

Product Scenarios

Themes

Scenarios

Features

Gorgeous

& Genius

Compulsive Collaboration

Mobility

with Agility

The

Premier

Platform

Enabling the

New Enterprise

Product


Support Sustained

Engineering

Product

Management

Product


Center

Labs Strategic

Prototyping

Qoncierge

Industry

Themes

Scenarios

Features

Thank you!

QLIK 2012 Investor Day Presentation

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