Data Is Your Next Product Opportunity

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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


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”


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


1.  Operational Reports 2.  Management Dashboards 3.  Interactive Analysis 4.  Advanced Analytics

•  Predictive •  Prescriptive

Analytics is More than Reports & Dashboards


Get Ready for Advanced Analytics

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


Scenario: Clickstream Data Pre-Enrichment


Scenario: Clickstream Data Post-Enrichment


Data Pipelines Preparing raw data for analysis

Parsing & Validation

Enrichment


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


Sources of Data for Blending Integrating diverse data from multiple locations

•  Vendor (OLTP/DW)

•  3rd-Party Data Services

•  Customer Provided


‘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

Twitter CRM data Demographic & Credit

Internal

SOURCE SYSTEMS:

SOURCE SYSTEMS:


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


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/


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


• 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


Thank You

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Data Is Your Next Product Opportunity