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QlikTech Investor Day Overview
Bill Sorenson, CFO
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effectiveness of QlikTech's products, the introduction of product enhancements or additional products, QlikTech’s partner and
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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
Demo
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
Jason.wreath@symphonyhealth.com
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
donald.farmer@qlikview.com
@donalddotfarmer
The Development Process
The Analytic Process
QlikView.next
The Development Process
The Analytic Process
QlikView.next
Product
Development QlikView Customer
Product
Development QlikView Customer
Support Sustained
Engineering
Product
Development QlikView Customer
Support Sustained
Engineering Qoncierge
Product
Development QlikView Customer
Support Sustained
Engineering Qoncierge
Scalability
Center
Product
Development QlikView Customer
Support Sustained
Engineering
Product
Management
Qoncierge
Industry
Product
Development QlikView Customer
Support Sustained
Engineering
Product
Management
Product
Validation Scalability
Center
Qoncierge
Industry
Product
Development QlikView Customer
Support Sustained
Engineering
Product
Management
Product
Validation Scalability
Center
Labs Strategic
Prototyping
Qoncierge
Industry
Product
Development QlikView Customer
Support Sustained
Engineering
Product
Management
Product
Validation Scalability
Center
Labs Strategic
Prototyping
Qoncierge
Industry
The Development Process
The Analytic Process
QlikView.next
Information Supply Chain
Raw Data Analysis Visualization Collaboration Modelling
Information Supply Chain
Raw Data Analysis Visualization Collaboration Modelling
Big Data Report Custom Data Associate Remix
Information Supply Chain
Raw Data Analysis Visualization Collaboration Modelling
Big Data Report Custom Data Associate Remix
Raw Data Analysis Visualization Collaboration Modelling
Big Data Report Custom Data Associate Remix
Information Supply Chain
The Development Process
The Analytic Process
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
Development QlikView Customer
Support Sustained
Engineering
Product
Management
Product
Validation Scalability
Center
Labs Strategic
Prototyping
Qoncierge
Industry
Raw Data Analysis Visualization Collaboration Modelling
Big Data Report Custom Data Associate Remix
Information Supply Chain
Themes
Scenarios
Features
Thank you!