#GeodeSummit - Using Geode as Operational Data Services for Real Time Mobile Experience

UsingGeodetoEnhanceCustomerExperience

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Whatproblemarewetryingtosolve?

Everyretailer’sproblemtosolve…

Personalized Service

Mobile check-

out

Optimized Staffing, Tasks and Training

Real-time Inventory Tracking

Assortment and Price Differentiation

Endless Aisle

Facilities Control

Fault Detection

DynamicLayout

Platform Data SecurityAnalytics

Virtual Wall

Dynamic Labels

Smart Digital Signage

Customer Devices

END POINT CAPABILITY PROCESS CORE PROCESS END POINT CAPABILITY

Knowledgeable Sales Associates

Heating and Lighting

Robotics

POC and Mobility

Clienteling Apps

Customer

Employee

Physical Store

Product

Customer Profiling

Traffic, Purchase Patterns

In-store Interactions

Personalized Recommendations

Whatretailer’s“Loyalty2.0”mightbegrapplingwith…

1. Omni-Channel, Seamless Commerce

2. Insights & Data 3. Marketing Resource

Management 4. Applied Innovation

5. Unified View of the Customer

NextGeneraFonLoyaltyProgramsrequirements…

Theholygrailofcustomerloyalty

Delivering insights at the point of action in

“human time”


Somekeydimensionsoftheproblem…

§  RetailershavemanyBigandFastDatachallenges...§  Datavolumes–numberofcompaniesstoring100+TBisgrowing…

…buttheyareanalyzingonlyafrac%onoftheirdataassets

§  Mostretailershave10’sto100’sofsystemschurningoutdatainrealFme-plusexternaldatasources(socialmedia,weather,demographic,spaFal)thattheyshouldbeusing……buttheystruggletostoreandintegratedata,andmanagedatacomplexity>today,BATCHrules

0

50

100

Structured Semi-Structured Unstructured

Not Analyzed Analyzed

Volume

Velocity

Variety


Justimagine:urbanlivingin2025andtherequirementsoftheretailenvironment.

ConsumerengagementTakingpartinadialoguewithconsumers,jusFfyingtheirtrustintheindustryTransparencyKeepingconsumersinformedaboutproducts’keya`ributes,ingredients,nutrientsandprovenanceaswellastheirenvironmentalandsocietalimpactsThelastmileofdistribu%on–bothtotheretailstoreandtotheconsumerReconsideringtheassumpFonthatitisanareawherecompaniesoperateindependentlyofeachother,andexploringopportuniFestocollaboratetoimprovespeed,efficiencyandconsumersaFsfacFon

EnabledbyModularizedTechnologyBusinessagilityandrapidcollaboraFonrequirethetransformaFonfromrigidandpurpose-builtITstructuresintomulF-use,component-basedtechnologycapabiliFeswhichallowforeasyassemblyordisassemblyaccordingtobusinessneeds.


Everythingchangesbeforetomorrow

Click Call Read

Click

Location

Push

Engage

Lifestyle

Location

Demand

?


Whytomorrowistoolate

I’m at the store in Charlotte

Human-Time Social Analytics

Store Master

Customer Master

Human-Time Business Analytics

Customer Transactions

Product Master

Store ABC

Jane Doe

Jane

Hey Shovel fans: Offer

Code!

Great: On our way!

Jane’s Friends


Geode Cluster

HowweareusingGeodeforthis

Data Lake

Geode Geode Geode Geode Geode Geode

Write Back Batch Analytics Services Reference Data

Enterprise History Cache

Fast S

peed C

onsumer

Data

Human-Time analytics

Bulk Enterprise Data


Advantagesofano-RDBMSarchitecture

§ Geode/Gemfire handles the transactional integrity § Data Lake stores the history

§ Developer model is much more suited to Java developers than RDBMS

§ Enables multiple other engines to be added to the Batch part § Neo4J for network/graph analytics

§ Cost


Whatcouldtomorrowlooklike?

The Present Tomorrow? Retailers send consumers coupon books generated on a monthly basis.

Retailers figure out consumer shopping patterns, and deliver offers the day before the consumer plans to shop. No coupons – the consumer has an electronic wallet that pops up in-store.

Customers get printed coupons when they go through the check out line.

Consumers scan products as they shop, interact with “recommender” systems they like, and skip the check out line. Apple Pay. -  Recipe Help

“It looks like you’re making chili – but you didn’t pick up any kidney beans – did you forget?”

-  Healthy Choices “I see you just selected potato chips – would baby carrots be a better choice?”

-  Market Share Shifting “There’s an extra 20% off if you choose Doritos instead of Lays today.”

-  Managing Perishable Store Inventory “I know you like lettuce – there’s special pricing if you buy today.” Hint: Store ordered too much lettuce, it’s going to spoil if not sold soon.

Customers push their carts up one aisle and down the other.

“I see that it’s been several weeks. Have you been busy? Since you are one of our best customers, would it help if we were to suggest some items to tide you over, and deliver them by Uber right now?” “The weather forecasters are predicting a blizzard. Do you need some extra supplies? Do you need bottled water for baby formula? We can deliver…”


EnterpriseBigDataReferenceArchitecture–BusinessDataLake

Hadoop – Foundational Elements

REST

HTTP/S

Stream

SPARK-ML (Formerly Mahout)

Classification Clustering Collaborative Filtering

Processing & Computation

In-Memory Process

SPARK R

SPARK

YARN

Business Data Lake Zones

Interactive

Analytics

Visualization & Reporting

Analytical Tools,

Simulation & Languages

Enterprise Solutions

(API – XML – Json)

Localized Data Sources

Deep Learning Machine Learning, Evolutionary/Genetic Programming, Complex Event Processing & Enterprise Automation

Tachyon Load & Refine

Scoop Flume

Hive NFS

WebHDFS

Pig

Speed Layer Zone 0 Zone 1 Zone 5

Zone 2 Zone 3 Zone 4

Cleansed

Ideation Sandbox Enriched

Detailed Modeled

Aggregate Modeled Stagin

g

Metadata Security

Knox Ranger Kerberos

Provision, Monitor, Manage

Ambari Zoo Keeper

Schedule

Oozie

Deployment Choice Linux Windows On-Premises Cloud

Hue

NO SQL- Slider

HIVE - TEZ Phoenix

HBase Solr (Search)

Landing

SOURCES

Geolocation

IT Systems

Sensor & Machine

Server Logs

Web & Social

Clickstream

Unstructured

Apache Geode

Thenewdigitaldivide

•  Thenewdigitaldivide:thegapbetweenconsumer’sdigitalbehaviorsandexpectaFons–incontrasttothereadinessandabilityofretailerstodeliveronthedesiredexperiences.–  Percentageofshoppers100%connected–growingquickly–  ExpectaFons–evolvingrapidly–  “Showrooming”–e.g.fearthatdigitaldrivesconsumersonline(it’samyth)–  Micro-characterisFcs–geographic,demographic,ethnic,social,age,gender–  Abilityofretailerstoharnesstechnologythat–

•  PermitsapplicaFonstobebuiltquickly,dismantledquickly•  Deliversconsumerbehavior-influencingacFonsinrealFme•  Drillsdowntoindividualconsumers•  Integratesdata–frominsideandoutsidetheenterprise


….andhowcouldwedothis?

Unleash Data and Insights as-a-service

Make Insight-driven Value a Crucial

Business KPI

Empower your People with Insights at the

Point of Action

Develop an Enterprise Data Science Culture

Master Governance, Security and Privacy of your

Data Assets

Enable your Data Landscape for the Flood coming from Connected

People and Things

Embark on the Journey to Insights within your

Business and Technology Context

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7 6 5 4

Join the Apache Geode Community!

•  Check out: http://geode.incubator.apache.org

•  Subscribe: [email protected]

•  Download: http://geode.incubator.apache.org/releases/

#GeodeSummit - Using Geode as Operational Data Services for Real Time Mobile Experience

Technology

Transcript of #GeodeSummit - Using Geode as Operational Data Services for Real Time Mobile Experience