SIMPLIFYING BUSINESS ANALYTICS FOR COMPLEX DATADavidi Boyarski, Channel Manager

Sisense Overview

Awards

4000+ Top Quartile

HQ in

Top 10 2016 & 2017

Wisdom of Crowds

Report

LEADER IN

CUSTOMER

EXPERIANCE

…For leading brands across many industries

Sisense Customer Satisfaction Rating: Off The Charts!

0

10

20

30

40

50

60

70

2016 NPS Technology Benchmark Comparison

Source: Timken Group: Tech Vendor NPS Benchmark, 2016

Average

Vendor Score = 30

Data Complexity

Ease

& A

gilit

ySimplifying business analytics for complex data

Modern Self-Service Tools

Legacy Tools Sisense

SIMPLIFYING• Single tool - data to dashboard • Deployed in days without IT• 100% designed for business• Immediate insights

COMPLEX• Disparate sources/tables• Large data sets (terabytes)

Multiple Data Sources

Sisense Engine Interactive Dashboards

XLS, CSV

MySQL, SQL Server

Hadoop

Cloud Apps

Cloud or On-Premise

End to end solution for easy mash-up of data sources

Intuitive Data Prep Interface

Analytics InterfacesEverywhere

XLS, CSV

Databases

Web Apps

High PerformanceData Engine

Big Data Systems

Data Warehouse

Technical Ownership

Cloud AppsXLS, CSV Databases

Cloud or On-Premise

Live Connect

DatabasesODBC API

System Architecture

Business OwnershipIT / Technical Oversight

Sisense Single StackTM and In-ChipTM change the playing field

In-ChipTMSingle-StackTM

• Complete solution

• Eliminates multiple system components

• Lowers TCO

• CPU optimization

• 100X data,10X processing speed on commodity PC or server

• Eliminates technical dependence

Path to Success

AgilityIterate fast to answer new

questions instantly

Immediate ValueSpeedy roll-out and

deployment

Dedicated ServiceA partner committed to your

success

Ease of UseExplore data with no

gatekeepers

Any QuestionAnswerable at any level of

depth, across any dimension

Intuitive Experience That fits your users’ style of

work

Product Demo

Sisense for Data Warehouses

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

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

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

Data Sources

Data Management

Insight

Consumption

Business Apps

Integration

Ad Hoc

Dashboards

Cloud Data (REST

APIs)

SpreadsheetsRDBMsNoSQL DBs

Ingest/Load

Publish

Storage

Transform

Analyze

Text Files NoSQL DBRDBMS

Sources

APIs CMDBs

Down-stream ETL

Data Lake

API Advanced AnalyticsBusiness Intelligence

Big Data

Storage &

Consolidation

Transform

Transform

High Performance

Analytics Engine

Owned by Business,

Analytics, Product

Teams

QA by Data Admins

Owned by IT & Ops,

Overseeing Data

Quality

Example Enterprise-Wide Architecture

2016 Annual Productivity Savings

$0 $500k $1M

Achieved

$780k

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)

>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

Results

Data Sources

Data Management

& Consolidation

Insight

Consumption

Business Apps

Integration

Ad Hoc

Dashboards

Cloud Data (REST

APIs)

SpreadsheetsRDBMsNoSQL DBs

Transform

High Performance

Analytics EngineOwned by Business,

Analytics, Product Teams

QA by Data Admins

Owned by IT & Ops,

Overseeing Data

Quality

Ingest/Load

Publish

Storage

Transform

Analyze

Text Files NoSQL DBRDBMS

Sources

APIs CMDBs

Down-stream ETL

Data Lake

API Advanced AnalyticsBusiness Intelligence

Data Storage

Example Department-Wide Architecture

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.

Results

Sisense for OEM

Business Apps Spreadsheets Databases

Business App

EmbeddedBots,

Alexa,

IoT

Live Real Time

Dashboards

Big Data ETL

Open Architecture to Integrate with Best of Breed Technology

Web

Dashboards

High Performance Analytical Database

Data PreparationAPI SDK

Data Access, Analysis & Visualization

Data QA & Dev Workflows

Cloud / On-Premise

Customer 1

Customer 2

Customer 3

Proprietary High PerformanceData Store

OEM SaaS Architecture

Customer 1

Customer 2

Customer 3

Proprietary High PerformanceData Store

Proprietary High PerformanceData Store

Proprietary High PerformanceData Store

OEM On Premise Architecture

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 3rd 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.

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

Full extensibility for developers

Ease of use for business users

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

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

API Framework Functionality

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 3rd party

“Listen” to alert events

Command Line

Programmatically control ElastiCubes

Build, delete, restart, stop, edit, etc.

API Framework Examples

Javascript SDK

New functionality, viz, analytical operations

Ex: Custom links in Nav Bar, Sankey, Trend lines

Davidi Boyarski

Thank You!