SlideShare une entreprise Scribd logo
1  sur  15
Site Catalyst Top Tips
Barry Mann
@UK_OmniMann
Tall & Deep vs Wide and Shallow
                                           Wide and shallow
                                           • 100’s of report suites
                                           • Primary focus is traffic numbers - PV, MUV
                                           • Divergent settings
                                           • VISTA rule chaos
                                           • 2 x implementations per week
                                           • Different challenges !
                                           •Commerce values irrelevant




Tall and narrow
• Deeper integrations < 10 RSID’s
• eCommerce
• Large complex paid traffic acquisition
• Genesis, Data sources, Paid traffic
detection
Grab Omniture implementation by scruff of the neck by 4pm

A.   Client Care request:
        1.   Report_suite_audit.tab
        2.   VIPER report
        3.   Raw data feed
B.   Kick off an Observepoint scan
C.   Ask for copy of Solution Design Reference (SDR)
            (Go sob in bathroom !?)
A.   Ask for copy of Omniture Contract(s)
B.   Get setup with all your tools (Firefox/Firebug/Omnibug, Debugger(s)
C.   General observations (whilst waiting)
        1.   IP address filtering
        2.   1st/3rd/Hybrid cookies
        3.   Any SAINTing ?
        4.   Read the scode
        5.   Internal and external link tracking. (utm_source internally? Tracking analyst?)
        6.   Any Genesis installations even to ESP?
        7.   Pet Peeves
Anatomy Report_suite_audit.tab
            •   Props 50-75 not there! (2 years on from h.22)
            •   Officially Omniture internal only

            4-18 – Juicy stuff (time zone, commerce level ,
               pathing service level , GeoSeg, DWH
            121 – Prop On/Off , List var delimiter
            170 – Evar On / Off , Subs
            221 – Events on / off , counter
            274 – Pathing on props, Heir 1,2,3,4 , s.server ,
               channels, etc
            ..

            868 – Visitor computation by prop:
                                D,W,M,Q
Expect to make large bulk changes
• Some / Most changes can be made in the
  GUI
• Email CC with long lists for Dr Teeth
• Some changes only possible in GUI
• Beware of tech limits esp. SC14
• Some are manual labour (e.g.. Default
  metrics)
• Do so with confidence and for the
  common good!
SDR – The Rosetta Stone

        Maintenance and record keeping via
           this crucial document is vital for
            success and any newcomer.
                        Period.
        • Ask CC to store
        • Work from a common drive
        • Thought and forward planning
           – Prop/eVar/event allocation – use
             sparingly.
           – Allocating 50>75 is lazy
How an SDR should look, really
no SDR?



  • Most likely to have a copy from
  implementation time or “something floating
  about”
  • How did this happen to me?
  • Enabled , not receiving data /Receiving
  data but not enabled
  • (props backfill , persisted vars do not)
  • DOOMSDAY SCENARIO: reconstruct by
  hand from a Data Feed.
Data Feed .tsv files – raw & uncut
VIPER – Why VISTA rule chaos
       really happens
             • ES 4-6 week lag. Frustrating.
             • Always better to populate in code, but not
             always possible e.g.. Digital Envoy
             • £300 - £500 for VISTA rule copy normally
             £1500 for a new rule
             • GeoSeg > prop most common
             • If you do go down this path you will have
             something else to maintain.
             • “Bank” 10 rsid’s , VISTA copy and Dr Teeth
             them to keep them “spare”.
             • Processing Rules aka “VISTA Lite” gaining
             traction but not a panacea
Omniture Contract
         • Obtain, read , understand
         • Implementation may not reflect
             • ASI
             • DWH, Disco 1.5 /3
             • Pathing limits
         • Understand contractual & tech limits
         • BE ASSERTIVE WITH CC
ObservePoint
ObservePoints Vendor rules DB
Bye Bye Setup land
•   When SDR step is complete batch change menus.
•   Accept that users are intimidated by SC and “just want to use GA”
•   Empty menus & “Revenue” eCommerce reports are irrelevant, disorientating
    and foster distrust
•   Poll users before/after and measure increase in satisfaction
•   Issue “certificates” to demarcate leaving SetUp land > Insight Land
•   Omniture is all about the implementation.

•   Power ahead with dev to grow the installation and extract greater insight
    (that management probably thought they had paid for in the first place
•   And finally … best practice <> business win. Act with purpose. Optimal
    configuration is not necessary.

Contenu connexe

Similaire à Barry mann measurecamp

Big server-is-watching-you
Big server-is-watching-youBig server-is-watching-you
Big server-is-watching-youmkherlakian
 
H2O World - Solving Customer Churn with Machine Learning - Julian Bharadwaj
H2O World - Solving Customer Churn with Machine Learning - Julian BharadwajH2O World - Solving Customer Churn with Machine Learning - Julian Bharadwaj
H2O World - Solving Customer Churn with Machine Learning - Julian BharadwajSri Ambati
 
Wireless Developing Wireless Monitoring and Control devices
Wireless Developing Wireless Monitoring and Control devicesWireless Developing Wireless Monitoring and Control devices
Wireless Developing Wireless Monitoring and Control devicesAidan Venn MSc
 
IPv6 Readiness - Preparing for the Inevitable
IPv6 Readiness - Preparing for the InevitableIPv6 Readiness - Preparing for the Inevitable
IPv6 Readiness - Preparing for the InevitableSkeeve Stevens
 
Production Ready Microservices at Scale
Production Ready Microservices at ScaleProduction Ready Microservices at Scale
Production Ready Microservices at ScaleRajeev Bharshetty
 
Technical and Business Considerations for DNSSEC Deployment
Technical and Business Considerations for DNSSEC DeploymentTechnical and Business Considerations for DNSSEC Deployment
Technical and Business Considerations for DNSSEC DeploymentAPNIC
 
It4 Coursework Help
It4 Coursework HelpIt4 Coursework Help
It4 Coursework HelpJTHSICT
 
Storm 2012-03-29
Storm 2012-03-29Storm 2012-03-29
Storm 2012-03-29Ted Dunning
 
The blind spot in virtual servers - seeing with network analysis
The blind spot in virtual servers - seeing with network analysisThe blind spot in virtual servers - seeing with network analysis
The blind spot in virtual servers - seeing with network analysisSavvius, Inc
 
Suning OpenStack Cloud and Heat
Suning OpenStack Cloud and HeatSuning OpenStack Cloud and Heat
Suning OpenStack Cloud and HeatQiming Teng
 
Unified Framework for Real Time, Near Real Time and Offline Analysis of Video...
Unified Framework for Real Time, Near Real Time and Offline Analysis of Video...Unified Framework for Real Time, Near Real Time and Offline Analysis of Video...
Unified Framework for Real Time, Near Real Time and Offline Analysis of Video...Spark Summit
 
"The Cutting Edge Can Hurt You"
"The Cutting Edge Can Hurt You""The Cutting Edge Can Hurt You"
"The Cutting Edge Can Hurt You"Chris Dwan
 
Big Data Approaches to Cloud Security
Big Data Approaches to Cloud SecurityBig Data Approaches to Cloud Security
Big Data Approaches to Cloud SecurityPaul Morse
 
10 Tips for Your Journey to the Public Cloud
10 Tips for Your Journey to the Public Cloud10 Tips for Your Journey to the Public Cloud
10 Tips for Your Journey to the Public CloudIntuit Inc.
 
DevDay: Corda Enterprise: Journey to 1000 TPS per node, Rick Parker
DevDay: Corda Enterprise: Journey to 1000 TPS per node, Rick ParkerDevDay: Corda Enterprise: Journey to 1000 TPS per node, Rick Parker
DevDay: Corda Enterprise: Journey to 1000 TPS per node, Rick ParkerR3
 
Tales from the Postgres Front - and What We Can Learn
Tales from the Postgres Front - and What We Can LearnTales from the Postgres Front - and What We Can Learn
Tales from the Postgres Front - and What We Can LearnEDB
 
Performance Optimization of Cloud Based Applications by Peter Smith, ACL
Performance Optimization of Cloud Based Applications by Peter Smith, ACLPerformance Optimization of Cloud Based Applications by Peter Smith, ACL
Performance Optimization of Cloud Based Applications by Peter Smith, ACLTriNimbus
 
Machine Learning with Hadoop Boston hug 2012
Machine Learning with Hadoop Boston hug 2012Machine Learning with Hadoop Boston hug 2012
Machine Learning with Hadoop Boston hug 2012MapR Technologies
 
Solving Complex Scaling Problems by Prashant Kumar and Abhishek Jain of Myntr...
Solving Complex Scaling Problems by Prashant Kumar and Abhishek Jain of Myntr...Solving Complex Scaling Problems by Prashant Kumar and Abhishek Jain of Myntr...
Solving Complex Scaling Problems by Prashant Kumar and Abhishek Jain of Myntr...Redis Labs
 

Similaire à Barry mann measurecamp (20)

Big server-is-watching-you
Big server-is-watching-youBig server-is-watching-you
Big server-is-watching-you
 
H2O World - Solving Customer Churn with Machine Learning - Julian Bharadwaj
H2O World - Solving Customer Churn with Machine Learning - Julian BharadwajH2O World - Solving Customer Churn with Machine Learning - Julian Bharadwaj
H2O World - Solving Customer Churn with Machine Learning - Julian Bharadwaj
 
Wireless Developing Wireless Monitoring and Control devices
Wireless Developing Wireless Monitoring and Control devicesWireless Developing Wireless Monitoring and Control devices
Wireless Developing Wireless Monitoring and Control devices
 
IPv6 Readiness - Preparing for the Inevitable
IPv6 Readiness - Preparing for the InevitableIPv6 Readiness - Preparing for the Inevitable
IPv6 Readiness - Preparing for the Inevitable
 
Production Ready Microservices at Scale
Production Ready Microservices at ScaleProduction Ready Microservices at Scale
Production Ready Microservices at Scale
 
Technical and Business Considerations for DNSSEC Deployment
Technical and Business Considerations for DNSSEC DeploymentTechnical and Business Considerations for DNSSEC Deployment
Technical and Business Considerations for DNSSEC Deployment
 
It4 Coursework Help
It4 Coursework HelpIt4 Coursework Help
It4 Coursework Help
 
Storm 2012-03-29
Storm 2012-03-29Storm 2012-03-29
Storm 2012-03-29
 
The blind spot in virtual servers - seeing with network analysis
The blind spot in virtual servers - seeing with network analysisThe blind spot in virtual servers - seeing with network analysis
The blind spot in virtual servers - seeing with network analysis
 
Suning OpenStack Cloud and Heat
Suning OpenStack Cloud and HeatSuning OpenStack Cloud and Heat
Suning OpenStack Cloud and Heat
 
Unified Framework for Real Time, Near Real Time and Offline Analysis of Video...
Unified Framework for Real Time, Near Real Time and Offline Analysis of Video...Unified Framework for Real Time, Near Real Time and Offline Analysis of Video...
Unified Framework for Real Time, Near Real Time and Offline Analysis of Video...
 
"The Cutting Edge Can Hurt You"
"The Cutting Edge Can Hurt You""The Cutting Edge Can Hurt You"
"The Cutting Edge Can Hurt You"
 
Big Data Approaches to Cloud Security
Big Data Approaches to Cloud SecurityBig Data Approaches to Cloud Security
Big Data Approaches to Cloud Security
 
10 Tips for Your Journey to the Public Cloud
10 Tips for Your Journey to the Public Cloud10 Tips for Your Journey to the Public Cloud
10 Tips for Your Journey to the Public Cloud
 
DevDay: Corda Enterprise: Journey to 1000 TPS per node, Rick Parker
DevDay: Corda Enterprise: Journey to 1000 TPS per node, Rick ParkerDevDay: Corda Enterprise: Journey to 1000 TPS per node, Rick Parker
DevDay: Corda Enterprise: Journey to 1000 TPS per node, Rick Parker
 
Tales from the Postgres Front - and What We Can Learn
Tales from the Postgres Front - and What We Can LearnTales from the Postgres Front - and What We Can Learn
Tales from the Postgres Front - and What We Can Learn
 
Performance Optimization of Cloud Based Applications by Peter Smith, ACL
Performance Optimization of Cloud Based Applications by Peter Smith, ACLPerformance Optimization of Cloud Based Applications by Peter Smith, ACL
Performance Optimization of Cloud Based Applications by Peter Smith, ACL
 
Machine Learning with Hadoop Boston hug 2012
Machine Learning with Hadoop Boston hug 2012Machine Learning with Hadoop Boston hug 2012
Machine Learning with Hadoop Boston hug 2012
 
Solving Complex Scaling Problems by Prashant Kumar and Abhishek Jain of Myntr...
Solving Complex Scaling Problems by Prashant Kumar and Abhishek Jain of Myntr...Solving Complex Scaling Problems by Prashant Kumar and Abhishek Jain of Myntr...
Solving Complex Scaling Problems by Prashant Kumar and Abhishek Jain of Myntr...
 
Ioug oow12 em12c
Ioug oow12 em12cIoug oow12 em12c
Ioug oow12 em12c
 

Barry mann measurecamp

  • 1. Site Catalyst Top Tips Barry Mann @UK_OmniMann
  • 2. Tall & Deep vs Wide and Shallow Wide and shallow • 100’s of report suites • Primary focus is traffic numbers - PV, MUV • Divergent settings • VISTA rule chaos • 2 x implementations per week • Different challenges ! •Commerce values irrelevant Tall and narrow • Deeper integrations < 10 RSID’s • eCommerce • Large complex paid traffic acquisition • Genesis, Data sources, Paid traffic detection
  • 3. Grab Omniture implementation by scruff of the neck by 4pm A. Client Care request: 1. Report_suite_audit.tab 2. VIPER report 3. Raw data feed B. Kick off an Observepoint scan C. Ask for copy of Solution Design Reference (SDR)  (Go sob in bathroom !?) A. Ask for copy of Omniture Contract(s) B. Get setup with all your tools (Firefox/Firebug/Omnibug, Debugger(s) C. General observations (whilst waiting) 1. IP address filtering 2. 1st/3rd/Hybrid cookies 3. Any SAINTing ? 4. Read the scode 5. Internal and external link tracking. (utm_source internally? Tracking analyst?) 6. Any Genesis installations even to ESP? 7. Pet Peeves
  • 4.
  • 5. Anatomy Report_suite_audit.tab • Props 50-75 not there! (2 years on from h.22) • Officially Omniture internal only 4-18 – Juicy stuff (time zone, commerce level , pathing service level , GeoSeg, DWH 121 – Prop On/Off , List var delimiter 170 – Evar On / Off , Subs 221 – Events on / off , counter 274 – Pathing on props, Heir 1,2,3,4 , s.server , channels, etc .. 868 – Visitor computation by prop: D,W,M,Q
  • 6. Expect to make large bulk changes • Some / Most changes can be made in the GUI • Email CC with long lists for Dr Teeth • Some changes only possible in GUI • Beware of tech limits esp. SC14 • Some are manual labour (e.g.. Default metrics) • Do so with confidence and for the common good!
  • 7. SDR – The Rosetta Stone Maintenance and record keeping via this crucial document is vital for success and any newcomer. Period. • Ask CC to store • Work from a common drive • Thought and forward planning – Prop/eVar/event allocation – use sparingly. – Allocating 50>75 is lazy
  • 8. How an SDR should look, really
  • 9. no SDR? • Most likely to have a copy from implementation time or “something floating about” • How did this happen to me? • Enabled , not receiving data /Receiving data but not enabled • (props backfill , persisted vars do not) • DOOMSDAY SCENARIO: reconstruct by hand from a Data Feed.
  • 10. Data Feed .tsv files – raw & uncut
  • 11. VIPER – Why VISTA rule chaos really happens • ES 4-6 week lag. Frustrating. • Always better to populate in code, but not always possible e.g.. Digital Envoy • £300 - £500 for VISTA rule copy normally £1500 for a new rule • GeoSeg > prop most common • If you do go down this path you will have something else to maintain. • “Bank” 10 rsid’s , VISTA copy and Dr Teeth them to keep them “spare”. • Processing Rules aka “VISTA Lite” gaining traction but not a panacea
  • 12. Omniture Contract • Obtain, read , understand • Implementation may not reflect • ASI • DWH, Disco 1.5 /3 • Pathing limits • Understand contractual & tech limits • BE ASSERTIVE WITH CC
  • 15. Bye Bye Setup land • When SDR step is complete batch change menus. • Accept that users are intimidated by SC and “just want to use GA” • Empty menus & “Revenue” eCommerce reports are irrelevant, disorientating and foster distrust • Poll users before/after and measure increase in satisfaction • Issue “certificates” to demarcate leaving SetUp land > Insight Land • Omniture is all about the implementation. • Power ahead with dev to grow the installation and extract greater insight (that management probably thought they had paid for in the first place • And finally … best practice <> business win. Act with purpose. Optimal configuration is not necessary.

Notes de l'éditeur

  1. Work flow