[Webinar] High Speed Retail Analytics

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high-speed retail analytics courtesy of a new approach to big data Amos Schwartzfarb VP, Customer Development BlackLocus, Inc. #bigdataretail Tim Gasper Product Manager Infochimps, Inc. Dhruv Bansal Chief Science Officer, Co-founder Infochimps, Inc.

description

Learn how retailers can leverage their own Big Data. Go from data sources to increasing profits, margins and market share at a fraction of the time and cost.

Transcript of [Webinar] High Speed Retail Analytics

Page 1: [Webinar] High Speed Retail Analytics

high-speed retail

analytics courtesy of a new approach to big

data Amos Schwartzfarb VP, Customer Development

BlackLocus, Inc.

#bigdataretail

Tim Gasper Product Manager

Infochimps, Inc.

Dhruv Bansal Chief Science Officer,

Co-founder

Infochimps, Inc.

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poll

#bigdataretail

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volume

velocity

variety

1

#bigdataretail

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#bigdataretail

http://practicalanalytics.wordpress.com/2012/01/19/omni-channel-retail-analytics-a-big-data-use-case/

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#bigdataretail

http://practicalanalytics.wordpress.com/2012/01/19/omni-channel-retail-analytics-a-big-data-use-case/

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#bigdataretail

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staff

expertise

time

#bigdataretail

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We collect and match massive amounts of

competitive price and assortment data,

then make it actionable for our retail

customers

“I’ve never seen a partner’s product go viral inside our

organization as fast as BlackLocus. We had our biggest

quarter ever, the quarter following our initial engagement

with BlackLocus”

– Chairman, IR Top 75 Retailer

>>

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poll

#bigdataretail

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Consumers have instant and

complete price and

assortment transparency

Consumers have all the tools to

price and buy instantaneously

There is too much data for

retailers to analyze

Retailers have limited tools to

set the:

• Right price at the

• Right time to the

• Right customer

PRICE TO WIN

Seasonality

Social Sentiment

Inventory

Brand Equity

Assortment

Promotions / Reviews

Competitor Pricing

the problem we solve for retailers

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the problem we solve MULTI-SOURCE, BIG DATA ANALYTICS TO OPTIMIZE PRICE AND

ASSORTMENT

“Which of my products

are under- or over-priced

relative to my

competition?”

“What are the margin,

conversion and profit

implications from

dynamic pricing?”

“How do I utilize every

relevant data point to

optimize price and

assortment?”

Real-time competitive

Pricing intelligence

Integrated platform for

changing price and tracking

conversions/ profit

Big, multi-source data

analytics to optimize price

Today 2012 2013

I have no scalable way to track competitive pricing at the SKU level.

When I change price daily, weekly or monthly is it profitable?

There is so much available data, how do I determine its impact on price and assortment?

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More than just acquiring

data

More than just analyzing

data

Deep insight into what

data actually means

Ability to scale and adjust

quickly through

automation.

Math and Statistics

Machine Learning

Software Engineering

Insight and

Analysis

Data Science

our technology and approach DATA SCIENCE AND MACHINE LEARNING: WHY DO YOU CARE?

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Collect Extract Ingest Learn Analyze Deliver

Collect – collect semi-structured and structured data from different

sources

Extract – clean and transform semi-structured data into structured

Ingest – store and make the data available via search and/or query

Learn – iterative machine learning to identify product matches

Analyze – intelligence, metrics, and verification

Deliver – integration into the platform

our technology and approach BLACK LOCUS DATA PIPELINE

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#bigdataretail

+

The Platform of Big Data

Technology

The “Right Product, Right Price, Right Time”

Big Data Application

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big data infrastructure made simple

some of our customers our partners

#bigdataretail

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poll

#bigdataretail

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Analytics

Applications &

Workflows

Analytics

Applications &

Workflows

Analytics

Technology &

Infrastructure

#bigdataretail

Big Data Platform

Price and Assortment

Intelligence

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Retail Big Data Architecture

collect & analyze

real-time data

predictive

analytics

RFID

Foot Traffic

Mobile

Clickstream

CRM

POS

ERP

Demo-graphics

BI Systems

Ratings & Reviews

Social Media

#bigdataretail

ask questions,

build apps

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collect data

provide customers

with pricing

information

analyze

#bigdataretail

Prices from Across the Web

Customer Data

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we are • an end-to-end solution

• a flexible big data foundation to build upon

• your outsourced big data partner

we generate insights you need • quickly

• without capital investment (cloud)

• without investing in new talent (managed)

• tailored for your business

benefits we provide retailers

#bigdataretail