Why Qlik is Unique - Qlik s Innovation in Data, Platform and Analytics. Dan Sommer Senior Director, Market Intelligence Lead Qlik

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1 Why Qlik is Unique - Qlik s Innovation in Data, Platform and Analytics Dan Sommer Senior Director, Market Intelligence Lead Qlik

2 Legal Disclaimer Qlik roadmaps provide a general overview of our anticipated product direction as of the date hereof. Qlik undertakes no intention or obligation to update or revise any forward-looking statements contained herein, whether as a result of new information, future events or otherwise. The information contained in Qlik roadmaps is the proprietary information of Qlik and is not to be used for any reason other than to provide our customers, prospective customers, partners and strategic partners with a general overview of our anticipated future offerings. Our roadmaps are not a commitment, promise or other obligation on the part of Qlik to deliver any particular code or functionality. Furthermore, Qlik makes no commitment that any future functionality may be made available as part of maintenance and support. Roadmap information should not be relied on in making a purchasing decision, as the development, release, and timing of any features or functionality described for Qlik s products remains at our sole discretion QlikTech International AB. All rights reserved. Qlik, Qlik Sense, QlikView, QlikTech, Qlik Cloud, Qlik DataMarket, Qlik Analytics Platform, Qlik NPrinting, Qlik Connectors, Qlik GeoAnalytics and the QlikTech logos are trademarks of QlikTech International AB which have been registered in multiple countries. Other marks and logos mentioned herein are trademarks or registered trademarks of their respective owners.

3 One simple guiding belief Business Intelligence is when you harness the collective across an organization.

4 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.

5 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.

6 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.

7 Our Vision for Data Analytics Bridging User, Governed, and Big Data Associatively.XLS Governed Data 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.

8 Our Vision for Data Analytics Data.XLS On-Premise Infrastructure Private Cloud Infrastructure Public Cloud Infrastructure Edge Computing 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.

9 Our Vision for Data Analytics Data Hybrid Analytical Workload Optimization with Micro-Services.XLS 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.

10 Our Vision for Data Analytics Data Platform.PDF /. DOC.HTML Printed Output Mobile Self Service Visualization Web Applications Embedded.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.

11 Our Vision for Data Analytics Data Platform.PDF /. DOC.HTML Augmented Intelligence.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.

12 Our Vision for Data Analytics Data Platform Augmented Experience from Visualizations to Voice.PDF /. DOC.HTML.XLS Analytics A.I. 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.

13 Our Vision for Data Analytics Bridging User, Governed, and Big Data Associatively Hybrid Analytical Workload Optimization with Micro-Services Augmented Experience from Visualizations to Voice.PDF /. DOC.HTML.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.

14 Data Platform Analytics

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16 Big Data Becomes Big Insights Improved semantics will shift Big Data from size to combinations Personal Geospatial Data Industry Data Weblogs Business Unit Enterprise IT Customer Data Data Warehouse/ Lake Financial Data/ ERP Human Resource Twitter Facebook Open Data "Dark Data" Sensors / IoT Big data and IoT analytics become more solutionoriented, raising the art of the possible, and providing better data quality. 100% On-Premises 100% Cloud/External

17 Self-Service Preparation Combinations of Data On-Demand App Generation Internet of Things

18 FUTURE Introducing Associative Big Data Indexing Full associative experience on top of Big Data sources Incremental index optimizing for associative queries and speed, leaving the data in place NEXT STEP IN QLIK S BIG DATA EVOLUTION TECHNOLOGY Can be distributed across a cluster for speed and scale 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.

19 J&J 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%

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21 Hybrid Cloud Platform Emerges Dominant In 2017, cloud reaches a tipping point On-Premise BI Deployment Active and Planned Cloud Deployment 49% 51% 2017 Front End vs. Data Warehouse Geographic Variances Cloud BI Deployment Workgroup vs. Enterprise Cloud acceptance removes start-up costs, and provide scale while the value of open hybrid cloud platforms remove compromise *Gartner Magic Quadrant for Business Intelligence and Analytics Platforms, 2017

22 What Qlik and the Market Offers Now On-premise and private cloud Running in Qlik s cloud Secure, regulated, controlled Enterprise sale and target market Sense Enterprise AND OR Sense Business Cloud data SMB target market Direct sales Low cost sales

23 A Vision for Hybrid Cloud Tomorrow Value of ongoing choice AND Sense Enterprise Business Hybrid Cloud Seamless experience across infrastructure Optimized computing

24 A Vision for Hybrid Cloud Tomorrow Hybrid Cloud 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.

25 Delivering the Hybrid Vision One set of technology, deployed across a distributed environment FUTURE Micro-Service Architecture Qlik Cloud Services Region C Private Cloud Qlik Sense Cloud Business Mobile / Desktop CLOUD Subscription Pricing Region A On-Premise ON- PREMISE VPN Region B On-Premise Unified Analytic Hub Content Synchronization Global Content Library / Marketplace Identity and Licensing Management 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.

26 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 Agile, cloud first strategy expanding to thousands of users across the ecosystem Carillion will use Qlik Sense Cloud Business Quote for agile, to go lighter here projects. Richard Cleary, Solution Architect, Carillion

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28 The Multiplier Effect Machine Learning Sweet Spot Data Science In 2017, augmented intelligence will shift advanced analytics to advancing analytics BI AI Human Reasoning and Questioning

29 Another Way to Think About It + Pure Logic Human Intuition

30 Smart Visualizations Smart Capabilities Search and Natural Language Advanced Analytics Integration

31 Cognitive Rules Engine The backbone for augmented intelligence in Qlik Sense FUTURE 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 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.

32 FUTURE Insights Board A new user experience for machine suggestions and auto-generated insights Advanced algorithms to analyze data, driven by the cognitive rules engine Machine learning to capture and interpret user interactions 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.

33 FUTURE Data Swarm Generate hypotheses by visualizing patterns and outliers Swarming data comes together to shape itself based on similarity Insight suggestions from cognitive rules engine 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.

34 Lifting the disruptive Qlik engine to new heights Custom business solutions and consulting for public sector, social service and healthcare, logistics customers 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 Quote to go here of an eye. Alexander Nagler, akquinet

35 Qlik s Data Analytics Platform Use Cases.PDF /. DOC Self-Service Guided Embedded Dashboards/Reports Mobile Analytics Sense Desktop Cloud Enterprise GeoAnalytics NPrinting TM Developer Apps Platform Analytics Platform Associative Engine Data DataMarket

36 My Five Cool Things DEMO Unified Associative Experience Geo-location Analytics Data Preparation Advanced Analytics Cognitive Rules Engine

37 Summary Analytics.PDF /. DOC Printed Output Mobile Self Service Visualization.HTML Web Applications Embedded Augmented Intelligence All users, all use cases, on any device, from visualization to voice Platform On-Premise Infrastructure Private Cloud Infrastructure Public Cloud Infrastructure Edge Computing A true platform, open and extensible, on premise and/or in the cloud Data.XLS All your data, governed and un-governed, all the time, wherever it resides On-Premise Data Lake Cloud User Data

38 Thank you