Why Qlik is Unique - Qlik’s Innovation in Data, Platform and Analytics

Dan Sommer Senior Director, Market Intelligence Lead Qlik

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One simple guiding belief…

Business Intelligence is when you harness the collective across an organization.

Our Vision for Data Analytics

On-Premise Data Lake Cloud

This document and Qlik‘s strategy and possible future developments are subject to change and may be changed by Qlik at any time for any reason without notice. This document is provided without a warranty of any kind. The document may not be copied, distributed, or otherwise shared with any third party.

Our Vision for Data Analytics

This document and Qlik‘s strategy and possible future developments are subject to change and may be changed by Qlik at any time for any reason without notice. This document is provided without a warranty of any kind. The document may not be copied, distributed, or otherwise shared with any third party.

Our Vision for Data Analytics

.XLS

User Data

This document and Qlik‘s strategy and possible future developments are subject to change and may be changed by Qlik at any time for any reason without notice. This document is provided without a warranty of any kind. The document may not be copied, distributed, or otherwise shared with any third party.

Our Vision for Data Analytics

Governed Data

.XLS

User Data

Bridging User, Governed, and

Big Data Associatively

This document and Qlik‘s strategy and possible future developments are subject to change and may be changed by Qlik at any time for any reason without notice. This document is provided without a warranty of any kind. The document may not be copied, distributed, or otherwise shared with any third party.

Our Vision for Data Analytics

On-Premise Infrastructure

Private Cloud Infrastructure

Public Cloud Infrastructure

Edge Computing

.XLS

Data

This document and Qlik‘s strategy and possible future developments are subject to change and may be changed by Qlik at any time for any reason without notice. This document is provided without a warranty of any kind. The document may not be copied, distributed, or otherwise shared with any third party.

Our Vision for Data Analytics

Hybrid Analytical Workload Optimization

with Micro-Services

Platform .XLS

Data

This document and Qlik‘s strategy and possible future developments are subject to change and may be changed by Qlik at any time for any reason without notice. This document is provided without a warranty of any kind. The document may not be copied, distributed, or otherwise shared with any third party.

Our Vision for Data Analytics

.XLS

Printed Output

Mobile Self Service Visualization

.PDF / . DOC .HTML

Web Applications

Embedded

Data Platform

This document and Qlik‘s strategy and possible future developments are subject to change and may be changed by Qlik at any time for any reason without notice. This document is provided without a warranty of any kind. The document may not be copied, distributed, or otherwise shared with any third party.

Our Vision for Data Analytics

Augmented Intelligence

.PDF / . DOC .HTML

Data Platform

.XLS

This document and Qlik‘s strategy and possible future developments are subject to change and may be changed by Qlik at any time for any reason without notice. This document is provided without a warranty of any kind. The document may not be copied, distributed, or otherwise shared with any third party.

Our Vision for Data Analytics

.PDF / . DOC .HTML

Analytics A.I.

Augmented Experience from Visualizations to Voice

Platform Data

.XLS

This document and Qlik‘s strategy and possible future developments are subject to change and may be changed by Qlik at any time for any reason without notice. This document is provided without a warranty of any kind. The document may not be copied, distributed, or otherwise shared with any third party.

Our Vision for Data Analytics

.XLS

.PDF / . DOC

.HTML

Bridging User, Governed, and Big Data Associatively

Hybrid Analytical Workload Optimization with Micro-Services

Augmented Experience from Visualizations to Voice

This document and Qlik‘s strategy and possible future developments are subject to change and may be changed by Qlik at any time for any reason without notice. This document is provided without a warranty of any kind. The document may not be copied, distributed, or otherwise shared with any third party.

Data Analytics Platform

Big Data Becomes Big Insights Improved semantics will shift Big Data from size to combinations

Open Data

Sensors / IoT

Enterprise IT

Business Unit

Personal

100% Cloud/External 100% On-Premises

Geospatial Data

Weblogs

"Dark Data"

Industry Data

Twitter

Facebook

Data Warehouse/ Lake

Human Resource

Financial Data/ ERP

Customer Data

Big data and IoT analytics become more solution-oriented, raising the art of the possible, and providing better data quality.

Combinations of Data

Self-Service Preparation

Internet of Things

On-Demand App Generation

Introducing Associative Big Data Indexing

Can be distributed across a cluster for speed and scale

Incremental index optimizing for associative queries and speed, leaving the data in place

Full associative experience on top of Big Data sources

N E X T S T E P I N Q L I K ’ S B I G D A T A E V O L U T I O N

TECHNOLOGY

FUTURE

This document and Qlik‘s strategy and possible future developments are subject to change and may be changed by Qlik at any time for any reason without notice. This document is provided without a warranty of any kind. The document may not be copied, distributed, or otherwise shared with any third party.

Detailed quality and productivity data

• Using Qlik & Cloudera to correlate Big Data coming from machine sensors and various other sources

• Individual business use cases are now the drivers of analytics

• Data is consumed through self-service exploration, navigation and On-demand App Generation (ODAG) with standardized reporting where needed

$35-$40 Million/year

Cost savings based on improved insights into quality and productivity

Efficiency gains between 5% and 12%

J&J

*Gartner Magic Quadrant for Business Intelligence and Analytics Platforms, 2017

Hybrid Cloud Platform Emerges Dominant In 2017, cloud reaches a tipping point

Active and Planned Cloud Deployment

Geographic Variances

Front–End vs. Data Warehouse

Workgroup vs. Enterprise

Cloud acceptance removes start-up costs, and provide scale while the value of open hybrid cloud platforms remove compromise

49% 51% On-Premise

BI Deployment Cloud BI Deployment

2017

AND

Enterprise Sense ®

Business Sense ®

What Qlik and the Market Offers Now

Enterprise sale and target market

On-premise and private cloud

Secure, regulated, controlled

Direct sales

SMB target market

Running in Qlik’s cloud

Cloud data

Low cost sales

OR

Enterprise Sense ®

Business Sense ® AND

A Vision for Hybrid Cloud Tomorrow

Value of ongoing choice

Optimized computing

Seamless experience across infrastructure

Hybrid Cloud

A Vision for Hybrid Cloud Tomorrow

HY•BRID CLOUD AN•A•LYT• ICS Platform-based, visual analytics where each component – from data connectivity and preparation, to analysis and visualization, to collaboration - are available seamlessly on premise and/or in public or private clouds, as determined by the customer’s data – or application – specific needs.

Hybrid Cloud

Delivering the Hybrid Vision One set of technology, deployed across a distributed environment

VPN

CLOUD

ON- PREMISE

Region C Private Cloud

Qlik Cloud Services

Region A On-Premise

Region B On-Premise

Micro-Service Architecture

Qlik Sense Cloud Business

Subscription Pricing

Mobile / Desktop

− Unified Analytic Hub

− Content Synchronization

− Global Content Library / Marketplace

− Identity and Licensing Management

FUTURE

This document and Qlik‘s strategy and possible future developments are subject to change and may be changed by Qlik at any time for any reason without notice. This document is provided without a warranty of any kind. The document may not be copied, distributed, or otherwise shared with any third party.

“Quote to go here” “Carillion will use Qlik Sense Cloud Business for agile, lighter projects.” Richard Cleary, Solution Architect, Carillion

Agile, cloud first strategy expanding

to thousands of users across the

ecosystem

Leverages Qlik Sense Cloud Business for cloud-first strategy • Qlik Sense accommodates increasingly broader analytics

use cases including mobile

• Communities project with many mobile users supported by a small IT team necessitated a “cloud-first” strategy

• Qlik Sense Cloud Business used for small, agile projects to complement a broader migration to Qlik Sense Enterprise on private cloud

• 50+ users easily managed by product manager on business side while enterprise expansion is planned

The Multiplier Effect

Machine Learning

Data Science

Human Reasoning and Questioning

Sweet Spot In 2017, augmented intelligence

will shift “advanced analytics” to “advancing analytics”

BI AI

Another Way to Think About It…

Pure Logic Human Intuition

+

Smart Capabilities

Smart Visualizations

Advanced Analytics Integration

Search and Natural Language

A new augmented intelligence engine that will support features such as:

Insights Board

Data Swarm (pattern generation)

Smart capabilities and insight suggestions across Qlik Sense

Cognitive Rules Engine The backbone for augmented intelligence in Qlik Sense

FUTURE

This document and Qlik‘s strategy and possible future developments are subject to change and may be changed by Qlik at any time for any reason without notice. This document is provided without a warranty of any kind. The document may not be copied, distributed, or otherwise shared with any third party.

A new user experience for machine suggestions and auto-generated insights

Insights Board

Advanced algorithms to analyze data, driven by the cognitive rules engine

Machine learning to capture and interpret user interactions

FUTURE

This document and Qlik‘s strategy and possible future developments are subject to change and may be changed by Qlik at any time for any reason without notice. This document is provided without a warranty of any kind. The document may not be copied, distributed, or otherwise shared with any third party.

Generate hypotheses by visualizing patterns and outliers

Data Swarm

Insight suggestions from cognitive rules engine

‘Swarming’ data comes together to shape itself based on similarity

FUTURE

This document and Qlik‘s strategy and possible future developments are subject to change and may be changed by Qlik at any time for any reason without notice. This document is provided without a warranty of any kind. The document may not be copied, distributed, or otherwise shared with any third party.

Lifting the disruptive Qlik engine to new heights

“Quote to go here”

• Advanced analytics integration for Python and R

• Leveraging advanced and predictive analytics in real-time and combining them with Qlik’s data modeling, governance and visualization

• Perceived as “game changing” by akquinet customer

“Just imagine: instead of pre-calculating all permutations of a model, just filter, predict and benchmark in blink of an eye.” – Alexander Nagler, akquinet

Custom business solutions and

consulting for public sector, social service

and healthcare, logistics customers

Qlik’s Data Analytics Platform

Use Cases Embedded Mobile Dashboards/Reports

.PDF / . DOC

Self-Service Guided

Platform Analytics Platform

Associative Engine

Data DataMarket

Analytics NPrinting TM Desktop | Cloud | Enterprise

® Sense Developer

Apps GeoAnalytics

My Five Cool Things

Data Preparation

Advanced Analytics

Geo-location Analytics Unified

Associative Experience

Cognitive Rules Engine

DEMO

Summary

All users, all use cases, on any device, from visualization

to voice .PDF / . DOC .HTML Analytics

Printed Output

Mobile Self Service Visualization

Web Applications

Embedded Augmented Intelligence

A true platform, open and extensible, on premise and/or

in the cloud Platform

Public Cloud Infrastructure

Edge Computing

Private Cloud Infrastructure

On-Premise Infrastructure

All your data, governed and un-governed, all the time,

wherever it resides Data .XLS

On-Premise Cloud Data Lake User Data

Thank you