SIMPLIFYING BUSINESS ANALYTICS FOR COMPLEX DATA. Davidi Boyarski, Channel Manager

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1 SIMPLIFYING BUSINESS ANALYTICS FOR COMPLEX DATA Davidi Boyarski, Channel Manager

2 Sisense Overview Top Quartile HQ in Awards 2016 & 2017 Wisdom of Crowds Report LEADER IN CUSTOMER EXPERIANCE Top 10

3 For leading brands across many industries

4 Sisense Customer Satisfaction Rating: Off The Charts! NPS Technology Benchmark Comparison Average Vendor Score = Source: Timken Group: Tech Vendor NPS Benchmark, 2016

5 Ease & Agility Simplifying business analytics for complex data COMPLEX Disparate sources/tables Large data sets (terabytes) SIMPLIFYING Single tool - data to dashboard Deployed in days without IT Data Complexity 100%designed for business Modern Self- Service Tools Legacy Tools Sisense Immediate insights

6 End to end solution for easy mash-up of data sources Multiple Data Sources MySQL, SQL Server Sisense Engine Interactive Dashboards XLS, CSV Cloud Apps Cloud or On-Premise Hadoop

7 System Architecture ODBC API XLS, CSV Cloud Apps Databases Databases Big Data Systems Live Connect Web Apps Intuitive Data Prep Interface High Performance Data Engine Analytics Interfaces Everywhere Databases Data Warehouse Cloud or On-Premise Technical Ownership XLS, CSV Business Ownership IT / Technical Oversight

8 Sisense Single Stack TM and In-Chip TM change the playing field Single-Stack TM Complete solution In-Chip TM CPU optimization Eliminates multiple system components Lowers TCO 100X data,10x processing speed on commodity PC or server Eliminates technical dependence

9 Path to Success Agility Iterate fast to answer new Ease of Use Explore data with no Immediate Value Speedy roll-out and Dedicated Service A partner committed to your questions instantly gatekeepers deployment success Any Question Answerable at any level of depth, across any dimension Intuitive Experience That fits your users style of work

10 Product Demo

11 Sisense for Data Warehouses

12 Sisense for DW Value Proposition The majority of Sisense enterprise clients leverage Sisense alongside purpose-built ETL tools & DWs This enables clients to use the right technologies for the right use cases Biz teams gain Ownership of their data Autonomy to move quickly when reacting to business needs IT teams gain Supervision over data quality Ability to leverage purpose-built solutions to handle tasks with optimal performance, biz-value and minimal cost Free time from mundane and repetitive tasks

13 Sisense for DW Benefits Agile Integration Integrate new data sources in minutes, respond to new requests quicker Move away from the slow data warehouse pipeline Scale & Performance Gains Scale without putting a lot of stress on the DW (Could disrupt other applications) Minimize hardware costs Easy Table Mashup Agile method of uniting Tables Move away from the long process of scripting views in the DW which could lead to Table Fatigue Dashboard Velocity / Agility Run ad-hoc analytics without having to remodel data every time a new business question arises

14 Sisense for DW Benefits Intuitive Consumption Separating data warehouse and analytical data store (Elasticube) fixes the semantics in how data is presented DW for Tech, Analytical Data Store for Biz Leverage Scale-Out & Real Time Technologies Combine Elasticube data (In-Chip) with a Live Connection to a DW (In-Database) within the same dashboard Use existing scale-out technologies and compare real time statistics with historical data

15 Example Enterprise-Wide Architecture Insight Consumption Data Management Ad Hoc Dashboards Business Apps Integration High Performance Analytics Engine Owned by Business, Analytics, Product Teams QA by Data Admins Analyze Business Intelligence Transform Down-stream ETL API Advanced Analytics Publish Storage & Consolidation Storage Transform Ingest/Load Sources Transform Data Lake Owned by IT & Ops, Overseeing Data Quality Data Sources RDBMS Text Files NoSQL DB APIs CMDBs NoSQL DBs RDBMs Spreadsheets Cloud Data (REST APIs) Big Data

16 Results Adoption improvements from ease of use and scalability Teams are empowered to create analytics much more relevant to consumers Less reliance on centralized gatekeepers 100s of self service users (dashboard designers) 2016 Annual Productivity Savings >10,000 analytics consumers Productivity gains Analytics development time reduced by 75 percent Rapid expansion across business lines Cyber, Health, Industrial, Transportation Enabling IT to refocus efforts towards priority initiatives Data Centers => Cloud $0 $500k $1M Achieved $780k

17 Example Department-Wide Architecture Insight Consumption Ad Hoc Dashboards Business Apps Integration Data Management & Consolidation High Performance Analytics Engine Owned by Business, Analytics, Product Teams QA by Data Admins Data Sources NoSQL DBs RDBMs Spreadsheets Cloud Data (REST Analyze APIs) Business Intelligence Down-stream ETL API Advanced Analytics Publish Storage Transform Data Storage Transform Owned by IT & Ops, Overseeing Data Quality Data Lake Ingest/Load

18 Results Major gains on revenue and profit to support smart company expansion Analytics team has freedom to move quickly, in tight coordination with IT Sisense enables Sales/CSM to monitor pipeline progress and direct action towards accounts at risk 60 percent increase in revenue since Sisense deployment Customer usage monitoring adds over $1mil / year in retention + expansions 80 percent of upsell revenue from CS-based Sisense triggers Over $220k saved in annual analytics and software expenses DBA ($120k saving) and technology costs such as databases, ETL, etc.

19 Sisense for OEM

20 Open Architecture to Integrate with Best of Breed Technology Web Dashboards Live Real Time Dashboards Bots, Alexa, IoT Business App Embedded Data QA & Dev Workflows API SDK Data Access, Analysis & Visualization High Performance Analytical Database Data Preparation Cloud / On-Premise Business Apps Spreadsheets Databases Big Data ETL

21 OEM SaaS Architecture Proprietary High Performance Data Store Customer 1 Customer 2 Customer 3

22 OEM On Premise Architecture Proprietary High Performance Data Store Customer 1 Proprietary High Performance Data Store Customer 2 Proprietary High Performance Data Store Customer 3

23 Sisense Value Proposition for OEM Best Scalability & Performance Award winning In-Chip engine runs concurrent queries on complex data and provides results in seconds Scale to billions of records and thousands of users on a single server -> No data trimming, silos or 3 rd party database Rapid Time to Market & Ongoing Agility Instant deployment gets you up and running in hours, not weeks -> No data-prep nightmare and integrations Empower non-tech users to create dashboards w/o the constraints of traditional BI -> Nothing is pre-defined Run any query and receive instant answers without preparing data for each new question -> Joins created on the fly Explore, filter and drill down into complex data in any granularity Lowest Total Cost of Ownership Minimize software & services costs -> Single tool for all BI tasks. No need for a DW, ETL, integrations or consultants Minimize hardware costs -> Award winning In-Chip engine provides highly efficient utilization of system resources Minimize operational costs -> Biz-user intuitive and automated system. No indexes, star schemas, coding, etc.

24 Sisense Value Proposition for OEM Security Robust Data Governance allows for rapid deployment and easy onboarding of clients System, Object & Data Level Security Integration with existing authentication mechanisms. SSO, Active Directory & Rest API. Programmatic security integration for new clients Easiest and most Flexible to Extend & Embedd White label/rebrand Open API Framework allows for customization of widget library/extension of functionality Embedding with Sisense.js, iframe, JAQL and SQL Partnership Complimentary Onboarding Service Dedicated Customer Success Manager Industry leader in Vendor Support, Customer Experience & Renewal (negative churn) Customizable business model to fit OEM s business model

25 API First Development : Sisense Building Blocks Extensible solution built from the ground up with an open API framework Programmatically control the application Extend the Sisense UI Integrate viz & capabilities in other applications Fit development workflows Ease of use for business users Full extensibility for developers

26 API Framework Functionality Extend the Sisense Web Interface JavaScript SDK: customize or create new widgets & functionality. Automate things there s a GUI for. Integrate Sisense into other Applications REST API: programmatically control Sisense web app: dashboard authoring, data consumption, user admin, etc. Webhooks: pull alert data from Sisense Automate Sisense ElastiCube Management Command Line (PSM.exe) / Sisense Shell: control & automate the data engine Extend Sisense Data Connections REST Connector Framework: add data sources using.net or Java Roadmap (^7.0) Data Manager in the browser: CLI gradually deprecated for REST API Will simplify, offer more flexibility & ability to control through HTTPS

27 API Framework Examples Javascript SDK New functionality, viz, analytical operations Ex: Custom links in Nav Bar, Sankey, Trend lines Command Line Programmatically control ElastiCubes Build, delete, restart, stop, edit, etc. REST API Automatically add users, dashboard backup Trigger processes from other applications Pull data from Sisense through JAQL/SQL Integrate functionality into custom UI Add data connectors Webhooks Setup in 3 rd party Listen to alert events

28 Thank You! Davidi Boyarski