reporting, visualization & predictive analytics on big...

Reporting, Visualization & Predictive Analytics on Big Data

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2 © 2013, Pentaho. All Rights Reserved. pentaho.com. Worldwide +1 (866) 660-7555

Davy Nys VP EMEA & APAC

Pentaho

Chuck Yarbrough Technical Solutions Marketing Pentaho

Pentaho Webinar Series

3

Get all the recordings at: pentaho.com

Goals for Today

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To understand:

•  Spectrum of Information Needs

•  What to Prepare for to Deliver a Full Business Analytics Solution

•  How Predictive Analytics and Big Data are Related

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Why our customers implement business analytics Competitive Advantage in Action

Achieve Compliance •  Avoid fines •  Assess risk position •  Maximise available funding •  Provide social and public information

How to sustain gov’t and public trust?

How can we increase growth?

Maximize Revenue •  Develop new products •  Better understand customer segments •  Cross-sell product lines •  Shift to appropriate channel

How can we lower costs?

Increase Operational Effectiveness •  Improve operational efficiency •  Eliminate costly, delayed report generation •  Analyze root causes and take corrective action •  Leverage existing information/data investments

How to earn loyalty?

Improve Customer Experience •  Have informed conversations •  Service excellence via access to information •  Trusted business partner •  Provide rapid response

Spectrum of Information Needs


KNOW ANALYZE DISCOVER PREDICT

Full Platform Requirements


KNOW ANALYZE DISCOVER PREDICT

ACCESS MODEL

SHARE

Data Architecture and Integration Challenges

Data Sources Big Data Architecture

Data Warehouse (Master & Transactional Data)

ERP

CRM

CDR

Analytic Data Mart(s)



Logs Logs

Other Data

Raw Data

Parsed Data

Analytic Datasets

Master Data

NOSQL

Data Architecture with Information Needs

Data Sources Big Data Architecture

Data Warehouse (Master & Transactional Data)

ERP

CRM

CDR




Logs Logs

Other Data

Raw Data

Parsed Data

Analytic Datasets

Master Data

NOSQL

KNOW

ANALYZE

DISCOVER

PREDICT

KNOW DISCOVER

KNOW

ANALYZE

DISCOVER

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Why is it so hard to solve the problem? Customer Pressure Points

Business User Demand •  Rapid answers to changing questions •  Simple & intuitive tools for all •  Collaborative & iterative •  Fast & easy access to all data sources •  Visually pick out trends & outliers

Challenges to Deliver Demands •  High cost with budget pressure •  Short window to deliver information •  Tool complexity •  Lack of integration with data sources •  Hard to handle data explosion

Resulting Situation •  Limited set of users with restricted access •  Long time to information delivery: less relevant •  High TCO: licenses, training & development •  Users do own thing: excel, info silos, bad info •  IT is critical path, with long backlog for delivery

Lost opportunity to

gain competitive advantage

Complete Visual Data Management and Big Data Analytics

Hadoop NoSQL Analytic Databases

Data Discovery, Visualization

Enterprise & Ad Hoc Reporting

Data Ingestion, Manipulation,

Integration

Predictive Analytics

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Big Data Analytics Platform

Solution Architecture & Demo


Demo

Crossing the Chasm of Predictive Analytics


Hardware

(Big) Data Software

Source/copyright: forbes.com

Predictive Analytics Driving Big Data


Overall Adoption

•  Adoption and further development of WEKA, R, Mahout, …

•  Going beyond traditional industries

•  More correlations, more aspects, more historic data, etc…

•  Originally this was held back by the limitations of storage & processing

•  More data is being generated & captured

Data Hungry

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•  The “Data Scientist” •  New generation with a different perspective •  Shifts to the individual

New Persona

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Trap of Predictive Analytics

“Don’t Predict if you don’t Know”


Solution Architecture & Demo


Q & A

Pentaho Webinar Series

18

Get all the recordings at: pentaho.com

reporting, visualization & predictive analytics on big...

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