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Drive digital transformation

and turn data into a profit center

using HP Vertica

Blaine Mathieu

Chief Marketing & Product Officer

Dramatic Increase in Value of Enterprise Data

Mainframes

1980

ERP &

CRM

Enterprise

data

warehouse

Internal BI

2007

TOTAL DATA

= .79 ZB

20142020

Saa

S

Big data

AVERAGE ENTERPRISE

SPENDS $8M ON BIG

DATA TECHNOLOGIES

IoT

TOTAL DATA

= 32 ZB

Highly Invested & Underutilized Asset

$500B20%

Revenue estimated to be

generated from

commercializing big

data*

Data being used to

generate revenue

80%of big data is

untapped

* 2013 Booz Allen study

GoodData and

HP Vertica helps you

UNLEASH THE VALUEof enterprise data investment

Data Assets GoodData Platform

Brands

Locations

Employees

The GoodData DifferenceEnterprise platform designed for delivering digital products at scale

Current Data/Analytics Trapped in Corporate

Customers

Suppliers

Partners

LOBs

Analytics Service: Table Stakes

Customers

Suppliers

Partners

LOBs

Your Data

ANALYTICS

Customers

Suppliers

Partners

LOBs

Your Data

ANALYTICS

DISTRIBUTION

Distribution Service: Manage at Scale

Connected Insight Service: Cross Network Insight

Customers

Suppliers

Partners

LOBs

Your Company

DISTRIBUTION ANALYTICS

CONNECTED INSIGHTS

SERVICE

Data IntegrationComplimentary to Existing Infrastructure

Loads Loads

Data Source(s) Staging Area (ADS) Workspaces

Internal database, cloud

services, etc.

Columnar database

(Vertica)

Data, analytics, UI, users,

permissions, integrations

FLEXIBILITY

Works with Your Architecture- Leverage GoodData platform to bring

together operational data

- Connect consolidated analytical data

into GoodData Distribution Service

- Push/pull semantics, streaming, SQL

data transformation, Map/Reduce, etc.

SCALABILITY

End-to-end Data Pipeline- Clustering, parallelism

- Efficient data distribution

- Disaster recovery

Data

Analytics

UI

Users

Permissions

Integrations

Data

Analytics

UI

Users

Permissions

Integrations

Data

Analytics

UI

Users

Permissions

Integrations

Distribution Service

Custom Data Platform

Teams

Locations

Partners

Customers

Resellers

Data

Products

1

2

3

Workspaces

• No co-mingling between

workspaces

• Building value for the end

users

• User management at scale

• Metrics, KPI, dashboards,

reports propagated to the

END customer

• SECURITY: isolated data

distribution

• LIFECYCLE: Enhancements

without disruption

• PROVISIONING AT SCALE:

Focus on value not management

• AUTOMATION: Free the

resources

Connected Insights Service

Custom Data

DATA

ENRICHMENT

BENCHMARKING

vs. other locations

vs. industry

CUSTO

MER

SEGME

NT 2CUSTO

MER

SEGME

NT 3

CUSTO

MER

SEGME

NT 1

ANALYTICS

DASHBOARD

DATA

DISCOVERY

VISUALIZATION

KPIs

CUSTOMER

SEGMENT 2

CUSTOMER

SEGMENT 3

CUSTOMER

SEGMENT 1

DISTRIBUTION

LA

RG

E B

US

INE

SS

NE

TW

OR

K

ENGAGEMENT ANALYTICS

Performance, Scalability and SLAs

NUMBER OF TENANTS

AND END USERS

LATENCIES

DEPLOYMENTSTRONG

AVAILABILITY SLAs

CONCURRENT

ACCESS

DATA VOLUME

Mixed load:

- data discovery

- operational dashboards

- data loading

- Report computation

- Data pipeline latencies and

frequencies

- Zero installation requirements

during rollout

- Support for different devices

(mobile, laptop, tablets, etc)

SCALE

7 TB / 45Bn

rowsto

18K

companies /

120K users

2M data loads

per week

Platform Management

Demo

Ingredients of a Successful Product

Adoption Time-to-Value Growth

Compelling UX and visual

design

Rapid iteration and

continuous refinement

Sales acceleration and

account growth

Gets customers into market quickly, and succeeding

The GoodData Delivery Method

Outcomes:

● Product Roadmap

● Persona identified

● Pricing and ROI framework

● Requirements Grid

● Wireframe Designs

● Minimum Viable

Product (MVP)

● Product meets scale

and performance

expectations

● Launch Plan

● Sales and marketing

collateral

● Tiered pricing strategy

established

● Usage statistics

● Product enhancements

● Iterate quickly to

address customer

concerns

Software Product

Management Experts

Pilot

& DesignBuild

Test for

ScaleLaunch

Adopt

& Evolve

Agile Development Scalability &

Performance

Assessment

Organizational

readiness for

launch

Measure

Engagement and

enhance your

product

immediately

Typically this is 10-15 week cycle, which shortens with each iteration

Sample Roll-out Plan and Timeline

MVP implementation

PHASE

Rollout to beta

customers

Enhancements /

Refinements

Rollout to high value

brands

Customer

Feedback

MONTHLY TIMELINE

Wider release &

product tiering

M1 M2 M3 M4 M5 M6 M7 M8 M9 M10 M11 M12

GTM & Design

Workshop

Questions?

cmo@gooddata.com

Demo Screenshots

#DPMS2016

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