Pentaho provides a comprehensive business analytics and data integration platform for over 1,200 commercial customers, focusing on advanced analytics and the integration of diverse data sources. As organizations transition to relationship marketing, leveraging analytics becomes essential for continuous evaluation of data and operational efficiency. By 2016, significant opportunities for data monetization will emerge, with businesses expected to monetize information assets and improve analytic competencies.

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Pentaho
We Enable & Empower Data-Driven Businesses
Customer momentum
• Over 1,200 commercial customers
• Over 10,000 production deployments
Innovation through open source
• Open, pluggable, purpose-built for the future
• Sustained leadership in Big Data ecosystem
with technology innovation
Modern, cohesive business analytics & data integration platform
• Full spectrum of analytics for all key roles
• Embeddable, cloud-ready analytics
• Broadest and deepest Big Data integration

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Understanding Your Customer
“In
the
age
of
relationship
marketing
when
the
focus
has
moved
from
the
goal
of
simply
moving
or
selling
product
to
actually
creating
and
maintaining
a
relationship
with
a
customer,
using
the
tools
of
anthropology
will
help
marketers
achieve
those
new
goals”

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Business Leaders are Focused on Analytics
Key Findings
1. Analytics is a business
process that requires
continuous evaluation of new
sources of data
2. Many of these new data
sources can’t fit into a
traditional data warehouse.
It’s necessary to use Hadoop
or access data “on demand”
from external sources

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1. Operational Reports
2. Management Dashboards
3. Interactive Analysis
4. Advanced Analytics
• Predictive
• Prescriptive
Analytics is More than Reports & Dashboards

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Get Ready for Advanced Analytics
1. From Gartner research report – “Hype Cycle for Big Data 2014”, Published 4 August 2014

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Scenario: Clickstream Data
Pre-Enrichment

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Scenario: Clickstream Data
Post-Enrichment

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Data Pipelines
Preparing raw data for analysis
Parsing & Validation
Enrichment

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Realizing Value from Data
Surfacing Blended Data to the End-User

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Sources of Data for Blending
Integrating diverse data from multiple locations
• Vendor
(OLTP/DW)
• 3rd-Party
Data
Services
• Customer
Provided

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‘CRM for Universities’
Data service blends CRM info on
students with:
• Social influence data
• Credit risk and income data
• Customer’s Internal
payments data
Two Blending Examples
‘Internet of Things’
• New product processes and parses
wireless network data at retail store
locations
• Delivers analytics on foot traffic and
blends with:
• Anonymous income data
• Purchase transaction data
Wireless Network Demographic
Data
Internal
Payments
TwitterCRM data Demographic
& Credit
Internal
SOURCE SYSTEMS:
SOURCE SYSTEMS:

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Delivering Value with Enriched Data
Core Products, Portals, & Apps
that your customers are using today
Product Data: Data warehouse, Big Data stores, raw data, APIs, and more…
Data Publishing
Current accounts
– data analysts
Self-Service Analytics
Current accounts
– analysts &
business users
New accounts in
new markets –
various roles
Net New Data-
centric Products,
Portals, & Apps

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Information Supply Chains
An ecosystem of Data Services connected via the Web
Linking
Open
Data
cloud
diagram,
by
Richard
Cyganiak
and
Anja
Jentzsch.
h@p://lod-­‐cloud.net/

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Gartner on data monetization:1
• “By 2016, 30% of businesses will have begun directly or indirectly
monetizing their information assets via bartering or selling them
outright ”
• “Start building information product manager skills and analytical
competencies in your organization.”
• “Large retailers place their point of sales (POS) and other store
promotion data online for their business partners to subscribe to.”
Direct Data Monetization Opportunities
1. From Gartner research report – “How Organizations Can Monetize Customer Data,” Analysts: Olive Huang, Douglas
Laney; Published 6 March 2014

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• Analytics are a core part of every hosted solution
• Significant opportunity to help customers with advanced
analytics
• Advanced analytics require mastery of data blending &
enrichment
• Data pipelines streamline data preparation and delivery
• Useful sources of data are distributed across the web
• By 2016, 30% of businesses will have directly or indirectly
started to monetize data
Summary

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