nasscom gic conclave 2013 - session 3 b - analytics as a service - oliver ratzesberger

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Analytics as a Service BigData in Private Clouds Oliver Ratzesberger VP Information Analytics & Innovation @ratzesberger

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Page 1: NASSCOM GIC Conclave 2013 - Session 3 b - analytics as a service - Oliver Ratzesberger

Analytics as a ServiceBigData in Private Clouds

Oliver Ratzesberger

VP Information Analytics & Innovation

@ratzesberger

Page 2: NASSCOM GIC Conclave 2013 - Session 3 b - analytics as a service - Oliver Ratzesberger

Oliver Ratzesberger – VP Analytics & Innovation• 20 years in Large scale Data Warehouse

• 7 years at eBay – Analytics PlatformTeradataHadoop

100PB of infrastructure – largest commercial database sized for >50PB of raw data

• At Sears Holdings/MetaScale since October 2011Transforming a legacy icon into an Analytical Competitor

Page 3: NASSCOM GIC Conclave 2013 - Session 3 b - analytics as a service - Oliver Ratzesberger

What is BigData?PetaBytes of information

Hundreds of Millions of CustomersComplex/Semi/Unstructured Data

NoSQL/MapReduce/MPP/HadoopData Science & Data Visualization

Advanced Algorithms & Predictive TechnologiesNatural Language & Image Processing

Sensor DataSentiment Analysis

Page 4: NASSCOM GIC Conclave 2013 - Session 3 b - analytics as a service - Oliver Ratzesberger

BigData at SHC/MetaScale

3.5PB EDW(w/pCloud) 2.5PB Hadoop

>15 Million requests per day

Consolidating all Data Marts into a Single Version of the Truth

Page 5: NASSCOM GIC Conclave 2013 - Session 3 b - analytics as a service - Oliver Ratzesberger

Simplicity

Occam’s Razor:“simpler explanations are …

generally better than more complex ones”

The simple solution is easy to explain, implement,

and maintain

Page 6: NASSCOM GIC Conclave 2013 - Session 3 b - analytics as a service - Oliver Ratzesberger

Design for the Unknown

“Of design for analytics platforms - Perfect is Wasteful”

Friction to change & code weight are the antithesis of agility

Page 7: NASSCOM GIC Conclave 2013 - Session 3 b - analytics as a service - Oliver Ratzesberger

Time to Market ( is everything …)

Are your Analytical needs getting stuck in traffic?

Page 8: NASSCOM GIC Conclave 2013 - Session 3 b - analytics as a service - Oliver Ratzesberger

The Iceberg Problem

Physical Data Marts

are like Icebergs: 90% of their cost is ‘hidden’

A ‘free’ Physical Data Mart is too expensive to justify its

existence

Page 9: NASSCOM GIC Conclave 2013 - Session 3 b - analytics as a service - Oliver Ratzesberger

HR

Stores

FinanceInternational

Finance

Online

Loyalty

CRM

Marketing

IT

Supply Chain

Page 10: NASSCOM GIC Conclave 2013 - Session 3 b - analytics as a service - Oliver Ratzesberger
Page 11: NASSCOM GIC Conclave 2013 - Session 3 b - analytics as a service - Oliver Ratzesberger
Page 12: NASSCOM GIC Conclave 2013 - Session 3 b - analytics as a service - Oliver Ratzesberger

Scrum – Adopting an Agile Methodology

Page 13: NASSCOM GIC Conclave 2013 - Session 3 b - analytics as a service - Oliver Ratzesberger

Amount of Change

Page 14: NASSCOM GIC Conclave 2013 - Session 3 b - analytics as a service - Oliver Ratzesberger

Competing Priorities in Technology

Page 15: NASSCOM GIC Conclave 2013 - Session 3 b - analytics as a service - Oliver Ratzesberger

What is DevOps?• Blend of

Agile Development AND

Agile Operations

• Software development methods that stress

communication and collaboration

• Developing the 1st line of code with Operations in mind

Page 16: NASSCOM GIC Conclave 2013 - Session 3 b - analytics as a service - Oliver Ratzesberger

The Foundation

Technology Platform Storage and processing platforms, Teradata & Hadoop, and data interconnect services

Analytics as a Service (A3S)Reusable, powerful, and integrated analytics services that automates the actions in an analytics environment. This enables rapid deployment of a high-quality feature rich collaborative analytics environment that will empower users to be radically more self sufficient, be more productive, and achieve better results.

Insights PlatformAdvanced analytics products with out of the box segmentation, trending, alerting, experimentation, etc. capabilities supporting extremely large data sets

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Page 17: NASSCOM GIC Conclave 2013 - Session 3 b - analytics as a service - Oliver Ratzesberger

Example Prototype developed in pCloud

Daily Summary

Triple Intersection

Duple Intersection

KPIs / Segment IntersectionSegment Intersection Populations

KPIs / segmentSegment populations

Daily Detail

Segment Definition

Export Segments

Define Logic - submit to engineTag members with attributes

Member Details / Segment

Page 18: NASSCOM GIC Conclave 2013 - Session 3 b - analytics as a service - Oliver Ratzesberger

pCloud enabled Developer Platform

Page 19: NASSCOM GIC Conclave 2013 - Session 3 b - analytics as a service - Oliver Ratzesberger

ODE - Advanced Platform Analytics

Page 20: NASSCOM GIC Conclave 2013 - Session 3 b - analytics as a service - Oliver Ratzesberger

pCloud Consumption – On Demand Analytics

Page 21: NASSCOM GIC Conclave 2013 - Session 3 b - analytics as a service - Oliver Ratzesberger

Elastic Capacity

Leverage pCloud by the hour to support spikes in demand

Develop new prototypes

Active Management – decide when to use pCloud

Page 22: NASSCOM GIC Conclave 2013 - Session 3 b - analytics as a service - Oliver Ratzesberger

SEARS HOLDING CORPORATION COPYRIGHT 2012 22

Separating GOOD from BAD

Page 23: NASSCOM GIC Conclave 2013 - Session 3 b - analytics as a service - Oliver Ratzesberger

SEARS HOLDING CORPORATION COPYRIGHT 2012 23

Consistent Simplicity

Page 24: NASSCOM GIC Conclave 2013 - Session 3 b - analytics as a service - Oliver Ratzesberger

SEARS HOLDING CORPORATION COPYRIGHT 2012 24

Data Science - When the AVERAGE is useless

Page 25: NASSCOM GIC Conclave 2013 - Session 3 b - analytics as a service - Oliver Ratzesberger

Questions?

Oliver Ratzesberger

VP Information Analytics & Innovation

@ratzesberger