• Share
  • Email
  • Embed
  • Like
  • Save
  • Private Content
C* Summit 2013: Data Driven Retail: How One Mega-Retailer Drove Down Energy Costs Across 7,000 stores by David Leimbrock
 

C* Summit 2013: Data Driven Retail: How One Mega-Retailer Drove Down Energy Costs Across 7,000 stores by David Leimbrock

on

  • 635 views

How do you keep up with the velocity and variety of data streaming in from all the smart devices that run the physical environments of 7,000+ stores? What about getting analytics that tell you exactly ...

How do you keep up with the velocity and variety of data streaming in from all the smart devices that run the physical environments of 7,000+ stores? What about getting analytics that tell you exactly where energy waste is happening in real-time? In this talk, Riptide IO, describes their blueprint for collecting, organizing and deriving real-time operational intelligence from smart devices such as lighting, HVAC, sensors and more. Learn how this retailer gained a dramatic boost to their sustainability program, and solved some of the major bottlenecks in managing countless devices across thousands of stores.

Statistics

Views

Total Views
635
Views on SlideShare
634
Embed Views
1

Actions

Likes
2
Downloads
10
Comments
0

1 Embed 1

http://localhost 1

Accessibility

Categories

Upload Details

Uploaded via as Adobe PDF

Usage Rights

© All Rights Reserved

Report content

Flagged as inappropriate Flag as inappropriate
Flag as inappropriate

Select your reason for flagging this presentation as inappropriate.

Cancel
  • Full Name Full Name Comment goes here.
    Are you sure you want to
    Your message goes here
    Processing…
Post Comment
Edit your comment

    C* Summit 2013: Data Driven Retail: How One Mega-Retailer Drove Down Energy Costs Across 7,000 stores by David Leimbrock C* Summit 2013: Data Driven Retail: How One Mega-Retailer Drove Down Energy Costs Across 7,000 stores by David Leimbrock Presentation Transcript

    • DATA-DRIVENRETAIL#CASSANDRA13  CASSANDRASUMMIT2013  HOW ONE MEGA-RETAILER IS DRIVING DOWN ENERGY COSTS22% ACROSS 8,000 STORES
    • { A B O U T U S }SMARTDEVICEMANAGEMENTFOR VERYLARGEENTERPRISOURPARTNER#CASSANDRA13  CASSANDRASUMMIT2013  
    • MARKET TRENDSGOAL: 20% LESS ENERGYCHALLENGESOUR APPROACHVALUE DELIVERED12345DATA-DRIVENRETAIL{ W H AT W E W I L LC O V E R }“Experts oftenpossess moredata thanjudgment.”Colin Powell#CASSANDRA13  CASSANDRASUMMIT2013  
    • 1 MARKET TRENDS#CASSANDRA13  CASSANDRASUMMIT2013  
    • 2EXPLOSION OFSMARTDEVICES3 BIG DATAECONOMICS1LEAN & GREENBUSINESSTHREE MARKET TRENDS{ D R I V I N G D E M A N D }CASSANDRASUMMIT2013  #CASSANDRA13  
    • INFODETAILSWEBSITELEAN GREEN1&
    • BRICK & MORTORCHALLENGESR E TA I LBRICK &MORTARRETAILERSFACEINTENSECOSTPRESSURECASSANDRASUMMIT2013  #CASSANDRA13  
    • BEING “GREEN” IS DRIVING NEWBEHAVIOR & DATA REQUIREMENTSCASSANDRASUMMIT2013  #CASSANDRA13  
    • SMARTDEVICESEXPLOSION2
    • ON THE ROOF(~600PTS)DEVICEDATA FROM THE LIGHTING(~600PTS)FROM THEMETERS (~400PTS)FROMREFRIGERATION(~200PTS)CASSANDRASUMMIT2013  
    • ENERGY SPEND:SPREAD ACROSSHUNDREDS OFDEVICESTYPICAL  ENERGY  USE  IN  RETAIL  LIGHTINGHVACMISC#CASSANDRA13  
    • SOLUTIONECONOMICS3
    • Metering, HVAC,Lighting ControllersTemperature,sensor readings 15 min. intervals15  DEVICES  1,800DATA  POINTS  ~58MPER  HOUR  VOLUME ACROSS 8,071 STORESDefine “time series”: a sequence of data points, measured typically atsuccessive points in time, spaced at uniform time intervals.CASSANDRASUMMIT2013  #CASSANDRA13  
    • 2 GOAL: 20% LESS ENERGY#CASSANDRA13  
    • 3 CHALLENGES#CASSANDRA13  
    • INITIAL SUCCESS –THEN,….0  500  1000  1500  2000  2500  3000  3500  2010   2011   2012  Number  of  Stores  Online  Number  of  Stores  Online  SAVINGS  PERFORMANCE  PROBLEMS  DRIFT  { A D D I N G 5 0 + S T O R E S P E RW E E K }CASSANDRASUMMIT2013  #CASSANDRA13  
    • APPLICATION SILOSVendor  A  Store-­‐X  Vendor  D  Vendor  C  Vendor  B  Store-­‐X   Store-­‐X   Store-­‐X   Store-­‐X   Store-­‐X   Store-­‐X   Store-­‐X   Store-­‐X   Store-­‐X   Store-­‐X   Store-­‐X  Even within same vendor architecture, multiple serversRequired, with limited data sharing capabilities.{ M U LT I - V E N D O RE N V I R O N M E N T }CASSANDRASUMMIT2013  #CASSANDRA13  
    • 4 HOW WE SOLVED IT#CASSANDRA13  
    • DASHBOARDSEXECUTIVEENERGYBUILDINGOPERATIONS§  Financial  §  Environmental  §  Equipment  Status  §  Alerts  &  Alarms  §  Policy  §  Performance  §  ConsumpKon  §  Usage  Profile  BRIGHTWORKS  DATA  MANAGEMENT  LAYER  VERTICAL APPLICATIONSRIPTIDE  IO  &  3RD  PARTY  §  AFDD  §  ADR  §  Building  Management  §  CriKcal  Systems  Monitoring  §  Dynamic  Pricing  §  Safety  &  Security  §  Work  Order  Management  DEVICE  INTEGRATION  PLATFORM  PROPOSED SOLUTIONCASSANDRASUMMIT2013  #CASSANDRA13  
    • Solution optimized for time-series.Performance at scale.Broad language support.Fault tolerance.Commercial support & healthy community; not overly specialized.TECHNICALCONSIDERATIONS123456 Keen on executing – avoid analysis paralysis.CASSANDRASUMMIT2013  #CASSANDRA13  
    • EVALUATIONRESULTS1 6 12 18 24 30 36 Months of DataReads WritesCASSANDRASUMMIT2013  
    • NEWARCHITECTUREB R I G H T W O R K S C L U S T E RP O W E R E D B Y C A S S A N D R ACASSANDRABrightWorksApplicationsWeatherUtility DataStores Stores StoresVendor Siloes Vendor SiloesCASSANDRASUMMIT2013  
    • 5 RESULTS#CASSANDRA13  
    • INSIGHTS GAINEDCASSANDRASUMMIT2013  #CASSANDRA13  
    • INSIGHTSPRIORITIZEDCASSANDRASUMMIT2013  #CASSANDRA13  
    • OPERATIONAL INPROVEMENTS{ B O N U S : M O R E T H A N J U S TE N E R G Y S AV I N G S }TROUBLESHOOTING TOOLFOR THEFIELDGLOBALREAL ESTATEVIEW FOREXECUTIVESIMPROVEDWORK FLOWFAULTDETECTIONNEXTCASSANDRASUMMIT2013  #CASSANDRA13  
    • Reliable high performance data store.RE: data modeling perspective, pay more attention toCQL3.Datastax security features – additional layers is agood thing.Happy with decision to pre-compute as much aspossible.KEY TAKE AWAYS12345Data extract & validate rules; slow & with inevitablesurprises.CASSANDRASUMMIT2013  #CASSANDRA13  
    • QUESTIONSANSWERSCASSANDRASUMMIT2013  #CASSANDRA13  
    •  Dave LeimbrockPhone: +1 805 588 4580Email: dleimbro@riptideio.comt twitter.com/dleimbroCONTACT ME#CASSANDRA13  CASSANDRASUMMIT2013