Pentaho presentation at the Chief Data Officer Forum

Data monetization and why it mattersSalmon SimRegional Manager, APAC, [email protected]

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CDOs have unique responsibilities and challenges

“You have to be a business person first before being a technologist”

“You have to solve for something besides a technology, and even better to be driving a clear business outcome, whether that's cost reduction, growth, customer retention, or risk.”

“Nothing has changed with the data. But now there is someone who is responsible for doing something with it.”

A familiar journey


A familiar journey


Pentaho is a big data analytics platformS

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Use

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AccessIntegrateCleanseEnrich

ReportsDashboards

AnalysisVisualizations

Predictive Analytics

and Embedded Analytics

#1: Data Integration

#2: Data Discovery

#3: Advanced Analytics


Data rich, information poor

Data still in silos and not shared

Basics are not always in place

Needs to play well with others

Need more analysis to be put at the point of impact

How and where do we start?

Data itself does not turn into money

The current state of affairs


Data-driven insights used in the right way inspired by the people in the organization will help enrich your customers’ lives who will in turn reward the organization

The idea


Imagine this

Empower creativity Enrich your customers’ lives

Retain data governance



You have to embark on a journey

Entry

Tra

nsfo

rm

Advanced

Opt

imiz

e

Data Warehouse Optimization

Streamlined Data

Refinery

Big Data Exploration

Customer 360 Degree

ViewHarnessing Machine &

Sensor Data

Next Generation Applications

Internal Big Data as a Service

On-Demand Big Data Blending

Big Data Predictive Analytics

USE CASE COMPLEXITY

BU

SIN

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S I

MP

AC

T

Start with a quick win


Your journey. Start with a quick win.

Entry

Tra

nsfo

rm

Advanced

Opt

imiz

e


Streamlined Data

Refinery


Customer 360 Degree


Sensor Data





USE CASE COMPLEXITY

BU

SIN

ES

S I

MP

AC

T


Revamp their legacy system to create a scalable, cloud-based big data integration and analytics platform

Needed a way to quickly process and transform large data sets coming from multiple sources into a format that can be used efficiently to analyze several business lines in a timely manner

10 billion rows of data everyday

Fact table of 150 million rows

Business challenges


Lowering data processing time increased business transparency. Entire ETL takes about 30 minutes. Fact table has up to 150 million rows

Analytics now available to management on a T+1 basis. Managers can now quickly identify and understand factors impacting revenue such as changes in participant behaviour

Reduced TCO by 50%. A single development team replaces the work previously done by a mix of development, system admins, and database administrators contributing to the overall cost reduction.

By capitalizing on the variety and volume of big data in a more self-service way to easily access, enrich and de-identify data sets, NASDAQ can package this data in new service offerings to identifying customer and cross-sell segmentation opportunities, ultimately widening the gap between NASDAQ and competitors.

Results

Empower creativity


Your journey. Empower creativity.

Entry

Tra

nsfo

rm

Advanced

Opt

imiz

e


Streamlined Data

Refinery


Customer 360 Degree


Sensor Data





USE CASE COMPLEXITY

BU

SIN

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S I

MP

AC

T




Maximizing Loyalty Programs

Unite data from more than 8,000 restaurants including customer preferences, loyalty programs, gift programs, and social media

Encompassing several terabytes of data

Enable Marketing to manage how data is used to build more creative programmes

Result

80% reduction in processing time for faster insights for Marketing




Enrich your customers’ lives


Your journey. Enrich your customers’ lives.

Entry

Tra

nsfo

rm

Advanced

Opt

imiz

e


Streamlined Data

Refinery


Customer 360 Degree


Sensor Data





USE CASE COMPLEXITY

BU

SIN

ES

S I

MP

AC

T


Your journey. Enrich your customers’ lives.

Just tell me why my customer is calling me.


Customer landscape

Existing ETL Tool Data

Marts

Enterprise Data

Warehouse

Customer

Billing

Provisioning

ExistingETL Tool


The emergence of big dataBig data requires new technology

Location

Web

Social Media

ExistingProcess

HadoopCluster

Network

Analytic DB

ETL

Analytics


Two worlds apartHard to see the value


Marts

Enterprise Data

Warehouse

Customer ExistingETL Tool

Billing

Provisioning

Location

Web

Social Media

ExistingProcess

HadoopCluster

Network

Analytic DB

ETL


Blending the worlds togetherEvolving big data architectures


Marts

Enterprise Data

Warehouse

Customer ExistingETL Tool

Billing

Provisioning

Location

Web

Social Media

ExistingProcess

HadoopCluster

Network

Analytic DB

ETL

Analytics

Pentaho Data Integration

Real time blending on demand

Embedded Analytics


Imagine this.Empowered creativity.Enriched customers’ lives.Ensured data governance.

Data & Analytics

Pentaho presentation at the Chief Data Officer Forum