Big analytics best practices @ PARC

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Confidential Think Big Analytics Confidential Think Big Analytics Big Analytics Best Practices An Executive Guide September 26, 2012 Ron Bodkin Founder and CEO [email protected] @ronbodkin

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ThinkBig Analytics presents at PARC, a Xerox company

Transcript of Big analytics best practices @ PARC

Page 1: Big analytics best practices @ PARC

Confidential Think Big AnalyticsConfidential Think Big Analytics

Big Analytics Best Practices

An Executive GuideSeptember 26, 2012

Ron BodkinFounder and CEO

[email protected]@ronbodkin

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Introduction

• One of Silicon Valley’s Fastest Growing Big Data start ups• 100% Focus on Big Data consulting & Data Science solution services• Management Background:

Cambridge Technology, C-bridge, Oracle, Sun Microsystems, Quantcast, Accenture C-bridge Internet Solutions (CBIS) founder 1996 & executives, IPO 1999

• Clients: 40+– Focuses: Technology, Financial Services, Retail, Advertising

• North America Locations• US East: Boston, New York, Miami• US Central: Chicago, Austin• US West: HQ Mountain View, San Diego, Salt Lake City

Think Big is the leading professional services firm that’s purpose built for Big Data.

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Big Analytics, enabled by Big Data

Big Data invented to solve web scale data challenges.

Opportunity and mandate for enterprises to compete with advanced analytics.

Now enabling new businesses and products.

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1. It’s just a new name for Business Intelligence.2. The packaged applications are about to

emerge.3. The enterprise can wait.4. Low cost, low skill staffing will work.5. It’s simple to get results.6. You can automate all the intelligence.7. You can buy it all from a single vendor “stack.”

The 7 Myths of Big Data

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Incremental Adoption

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Real World Results

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360° Customer View Analytics

Trends• Compute model scores faster• Analyze full data sets• Incorporate new data• Build new services from data

Basic Reporting

Data Ingestion

Batch Processing

Fast Analytics

Data Enrichment

Data Science

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Social Media

“The digital transformation occurring at American Express cuts across many business units, and it has to because of the breadth and depth of our business,” Leslie Berland SVP of Digital Partnerships and Development explains. “From customer service to merchant services to our entertainment and travel business units, to corporate affairs, as well as our newly formed digital partnerships and development team, social media is a company-wide initiative.”

Source: http://mashable.com/2012/03/28/american-express-social-media/

March 28, 2012

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Think Big

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Envision

Current State

Future State

Prioritized Initiatives

Key Decisions & Impact Analysis

Reference Architecture

Design Patterns

Technology Rankings

Organization & Training

Optimized Projects

Selection

Big AnalyticsRoadmap &

RecommendationsGap Analysis

Big Data Strategy Readiness Analysis Technology Recommendations Big Data Roadmap

Big Analytics Roadmap Methodology

Analytic Platform

Decision Tree

DataStrategy

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Data Strategy: Value from Integration

Ad Server

Mobile

Social

Web Site

Devices & Enterprise Applications

Outside Data (new)

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Start Smart

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Organizing for Success• Driven by collaboration between

data scientists, engineers and business

• Leverages the manifest and latent signal of multi-structured data

• Emphasizes exploratory analysis to uncover novel topologies in the data

• Boosts power with diverse multivariate models and holistic data sets

• Triangulates truth with multiple approaches when problems are intractable

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Need for New Skills

DatabaseAdministrator

Big DataAdministrator

Business Analyst

Data ScienceMath Modeler

DataArchitect

Data ArchitectBig Data Modeling

Developers

Big DataEngineer

Invest and scale complementary skills to move to a data-centric organizational model.• Include expert training, mentoring and joint solution development

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Scale Fast

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An Integrated ApproachCreating value with nimble, incremental innovation

Brainstorm

POC

Pilo

t

Deploy

Training

GTMPartners

Clients

Industry

Analysts

StrategicTechnology Bu

sine

ss &

Tec

hnol

ogy

Requ

irem

ents

Data Science & AnalyticsCenter of Excellence

Inte

rnal

Sol

ution

s

Exte

rnal

Sol

ution

s

QA TestEngineer

Risk Management

Big DataLab

TechnologyExperts

Best in Class Analytics Sand Box

Monitoring

Open SourceInnovation

Business SMEs

Envision Education Engineering

Strategy Management, Development & Operations

Support & Performance Measurement

BUSINESS VELOCITY

Administration & Optimization

Big Data Strategy

Readiness Analysis

Technology Recommendations

Big Data Roadmap

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• Develop data and analytics platforms that bridge the old and new.

• Understand integration patterns and use cases to effectively guide new initiatives.

• Partner with business on opportunities for innovation.

• Build organizational maturity along a number of dimensions (platform, architecture, data engineering, data science).

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New IT Platforms

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Data Science

A New Role Exists – the Data ScientistFocused on data not modelsWorks with analysts to create business value

• One Part Scientist/Statistician• One Part Sleuth• One Part Artist• One Part Programmer

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1. Big Analytics is a critical capability.2. Your organization can create value now.3. Get help to get off on the right foot.4. Adopt incrementally.

Conclusions

Think Big Start Smart Scale Fast

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Rick

[email protected]@ronbodkin