SlideShare a Scribd company logo
1 of 54
Download to read offline
Mike focuses on reporting, insight
conceptualization, channel optimization,
and customer experience optimization
via A/B testing and surveying.
Mike Harmanos
Marketing Analyst for Yamaha Music USA
Wayne Wyatt
Director of Digital Analytics Excellence
Wayne has 20 years of experience working
with over 100 brands across different
verticals like retail, publishing, B2B, and
more.
@waynewyatt @mikeharmanos
what is the DAASelf-Assessment
It allows you to rate
yourself against the key
defined competencies of
successful digital analysts.
steps of the DAASelf-Assessment
5 easy steps:
1. Identify
2. Assess
3. Review
4. Development Plan
5. Explore Careers
advancement with the Self-Assessment
It can advance your career
• Document your strengths
• Determine what skillsyou need
• Identifyresourcesto fill your skill gap
• Benchmarkyour results
• Create a professionaldevelopment plan
how can the SelfAssessment help my team
• Identify gaps in your team’s skillsets
• Benchmark your team’s strengths
• Figure out the best fit for each member
• Determine the appropriate level for
new team members
let’s jump into some of the
task statements you will
be rating for your Digital
Analyst Self-Assessment
task statement: 1
Design and build reports
using tools (e.g., Web
analytics tools, Excel,
Tableau) to monitor
business performance.
task statement: 1
knowledge
• Businessobjectives
• MetricsandKPIs
• Analyticandreportingtoolcapabilities
skills
• Generatingreportsfromanalytictools
• Basicdatavisualization
• Automatingorcreatingefficienciesinreporting
• Clarifyingthepurpose/use/audienceofthereport,identifyingthebestKPIsand
supportingmetrics,andcreatingaleanreportthatfulfillsthebusinessneedanddoes
notcontain“noise”
• Stakeholdermanagementandexpectationsetting
task statement: 2
Monitor data quality using
basic statistical techniques
to improve confidence in
the data used for
analysis.
task statement: 2
knowledge
• Databasecomponents
• Descriptivestatistics
• Trendanalysis
skills
• Usingspreadsheettools
• Applyingaudittools
• Writingqueries
• Applyingstatisticaltechniques
• Auditsoftware
• Datacapture
• Tagcode/JavaScript
task statement: 3
Evangelize a measurement culture
and contribute to analytics
documentation (e.g., data dictionary,
variable map) using knowledge
management tools (e.g., SharePoint,
Wiki) to provide a reference repository
for the organization.
task statement: 3
knowledge
• Knowledgemanagementtools
• Businesscontextandorganizationculture
• Metrics
skills
• Technicalwriting
• Editingknowledgemanagementtooldocuments
• Makingpresentations
task statement: 4
Participate in evaluation of
digital analytics technologies
based on established
criteria in order to satisfy
business needs
task statement: 4
knowledge
• Digital analytics products
• Evaluation criteria
skills
• Reviewing businessand technicalspecifications
• Summarizing productevaluations
task statement: 5
Compile metadata to
categorize values for
analysis and reporting
(e.g., products, campaigns,
location, scoring, and flags).
task statement: 5
knowledge
• Existingdatavaluesandstructures
• Datatransferprocess(e.g.,FTP)
• Classificationprocess
• Lookuptables
skills
• Uploadingdata
• Datamanipulation
task statement: 6
Perform quality assurance
(QA) testing using tools and
methods suitable to the
business environment to verify
that data appears within digital
analytics tools as expected.
task statement: 6
knowledge
• Businessneeds
• Businesscapability/feasibility
• Debuggingprocesses
• Debuggingtools(e.g.,Charles,Firebug,Bloodhound,
ObservePoint,TMSand/orHTML/JavaScriptandCSS)
skills
• Executingtestplans
• Workingouthowtoapplybestpracticeinareal-worldsetting.
• Testingformobileenvironment(websiteandapp)mobile
emulationtool.
task statement: 7
Describe how analytics code
libraries (e.g., s_code.js,
analytics SDKs) function to
execute the analytics data
collection process.
task statement: 7
knowledge
• Vendorsoftwaredevelopmentkits(SDK)functionalityandcode
skills
• Reading,interpreting,andmodifyinganalytics codelibraries
• Programminginintegrateddevelopmentenvironments(IDE)
• Creatingsupportingclasslibraryfiles
• Communicatingtechnicalinstructionstodevelopers
task statement: 8
Document analyses requested and
completed in a database to maintain
institutional memory so that analyses are
not repeated without due cause and so
that analysis recommendations are
consistent and never contradictory
between projects
task statement: 8
knowledge
• Requestcategorization
• Documentationstandards
skills
• Documentation
• Classification
• Indexing
• Communicatingclearlyaboutanalysisrequest
denials
task statement: 9
Contribute to the ongoing
maintenance of an institutional
memory resource so that analysis
requests are not repeated without due
cause, and analysis recommendations
are consistent and not contradictory
between projects.
task statement: 9
knowledge
• Organizational bestpractices
• Documentationmethodsandstandards
• Databasestructure
• Requestcategorization
skills
• Consistentanduniformrecordkeeping
• Regularlyconsultingtheresourceforguidance
• Maintenancemanagement
• Communicatingclearlyaboutanalysis requestdenials
task statement: 10
Gather business requirements
for data collection to provide
implementation guidance to the
technical team.
task statement: 10
knowledge
• Businessobjectives
• Businessenvironment
• Dataelementsrequired
• Datarelationships
skills
• Interpretingbusinessobjectives
• Documentingbusinessrequirements
• Advisingonbusinessobjectives
• Userinteractionanddataflow
• Stakeholdermanagement
• Analytics tools
• CollaborationwithIT
task statement: 11
Build models (e.g.,
explanatory, predictive) using
statistical tools to address
business questions
task statement: 11
knowledge
• Organizationalenvironment
• Predictivestatisticalmethods
skills
• Datamanipulationtools
• Applyingdataminingtools
task statement: 12
Execute analysis (e.g.,
segmentation, campaign) using
analytic and/or statistical/applied
statistical tools (e.g., Excel, SAS,
R) to address business questions,
issues, and opportunities.
task statement: 12
knowledge
• Analytic tools
• Analytic methodologies
• Attribution(e.g.,last-click,linear,weighted,etc.)
• Businessobjectives
skills
• Applying quantitativemethodstodata
• Correlatingdata
• Assessingsignificance
• Interpretingdataandtranslatingfindingsintobusiness
insightsandrecommendations
task statement: 13
Communicate analytic
findings and actionable
recommendations in a
manner tailored to the target
audience.
task statement: 13
knowledge
• Presentationanddatavisualization tools
• Audiencerequirements(needs)
• Businessobjectives
skills
• Presentingcomplexinformation
• Usingpresentationandvisualization tools
• Interpretingcomplexdata,elicitingthemostimportantpoints,
andsummarizingwithclarity
• Adaptingcontenttodifferentaudiences
• Persuasion
task statement: 14
Compile, integrate, and analyze
data from multiple sources to
identify trends, expose new
opportunities, and answer
ongoing business questions.
task statement: 14
knowledge
• Businessobjectivesandenvironment
• Macrotrends
• Businessecosystem
• Onlinesurveytool
skills
• Combiningdatasets
• Analyzing multipledatasets,includingreconciling
contradictoryorinconsistentfindings
• Technicalecosystem
• Third-partydatasources
• Distribution/publicationofdata
task statement: 15
Analyze optimization testing
results using statistical methods
to make recommendations to
improve user experience and
business results.
task statement: 15
knowledge
• Optimizationtools(e.g.,A/Btestingtools,multivariatetesting
tools)
• Dataqualityissuesandmethods
• Multivariatetesting(MVT)
• Testingtool’simplementationandimpactsondata
skills
• Applying statisticalmethods
• Interpretingtestresults
• Determiningstatisticalsignificance
task statement: 16
Use key performance
indicators (KPIs), diagnostics,
drivers, and indicators to
measure performance
against business goals.
task statement: 16
knowledge
• Businessgoals
• KPIs
skills
• Analyzingdata
• Creatingdashboards
• Generatingreportsfromanalytictoolsanddata
visualization
task statement: 17
Obtain and incorporate
benchmark data (internal,
external) into reports and
analysis for comparison
purposes
task statement: 17
knowledge
• Digitaldataresources
• Businesscontext
• Descriptivestatistics
• Industryandchannels
skills
• Aggregatingdata
• Datavisualization
task statement: 18
Translate business requirements
into technical specifications and
implementation instructions using
standards and best practices
(e.g., industry, vendor, company).
task statement: 18
knowledge
• Standarddatadictionaryusage
• Tagcapabilities
• Datalayercomponents
• Wireframedesigns
• Userandprocessworkflow
skills
• Writingtechnicalrequirements
task statement: 19
Assist in troubleshooting
implementation issues
using tools and methods
suitable to the technical
environment.
task statement: 19
knowledge
• Programminglanguages(e.g.,Web:HTML,JavaScript;
MobileApps:Objective-C,Java)
• Debuggingprocesses
• Datacollectionmethodologies
skills
• Usingtaggingdebuggers
• Programmingskills
• Interpretingtechnicaldesigndocuments
task statement: 20
Monitor analytics governance
compliance across enterprise
teams to improve the
consistency of sources, data,
and analysis.
task statement: 20
knowledge
• Standardsandcompliancerequirements
• Descriptivestatistics
• Gapanalysis
• Rootcauseanalysisandescalationprocess
skills
• Reporting
• Analyzingdata
task statement: 21
Execute test plans and
document test results based
on analytic requirements to
validate implementations.
task statement: 21
knowledge
• Solutionimplementation
• Toolcapability
skills
• Developingtestplans
• Usingtestscriptingtools
Once you have your Self
Assessment results, what
are the next steps?
what to do with your results
Professional Development Plan
• Focus,prioritize,andmanageyourprofessional
developmentgoalsandactivities.
Explore Digital Analytics Careers
• Startexploringotherjob opportunitiesontheDigitalAnalytics
AssociationJobBoards.
Once you have identified
skills needed to grow in
this industry, how to you
obtain them?
real world experience
Analysis Exchange
Providing free web analytics consulting to
non-profits.
On The Job Experience
Don’t be afraid to try something new in
your current position.
educational resources
DAA Open Member Forum
Search for Thread:
DigitalAnalyst Educational Resources

More Related Content

What's hot

Driving Customer Experience and Business Revenues Through Search Engines
Driving Customer Experience and Business Revenues Through Search EnginesDriving Customer Experience and Business Revenues Through Search Engines
Driving Customer Experience and Business Revenues Through Search EnginesAndrei Lopatenko
 
Customer Insight Powerpoint Presentation Slides
Customer Insight Powerpoint Presentation SlidesCustomer Insight Powerpoint Presentation Slides
Customer Insight Powerpoint Presentation SlidesSlideTeam
 
Radical Analytics, Superweek Hungary, January 2017
Radical Analytics, Superweek Hungary, January 2017Radical Analytics, Superweek Hungary, January 2017
Radical Analytics, Superweek Hungary, January 2017Stéphane Hamel
 
Predictive Conversion Modeling - Lifting Web Analytics to the next level
Predictive Conversion Modeling - Lifting Web Analytics to the next levelPredictive Conversion Modeling - Lifting Web Analytics to the next level
Predictive Conversion Modeling - Lifting Web Analytics to the next levelPetri Mertanen
 
Co-dependency with Clients - building a great product ≠ great product success
Co-dependency with Clients - building a great product ≠ great product successCo-dependency with Clients - building a great product ≠ great product success
Co-dependency with Clients - building a great product ≠ great product successBarry Magee
 
Employee Engagement Analytics Suite – EmPOWER Flyer
Employee Engagement Analytics Suite – EmPOWER FlyerEmployee Engagement Analytics Suite – EmPOWER Flyer
Employee Engagement Analytics Suite – EmPOWER FlyerBRIDGEi2i Analytics Solutions
 
1140 track 3 ramirez_using our laptop
1140 track 3 ramirez_using our laptop1140 track 3 ramirez_using our laptop
1140 track 3 ramirez_using our laptopRising Media, Inc.
 
How Truly Effective CRO Requires Great UX
How Truly Effective CRO Requires Great UXHow Truly Effective CRO Requires Great UX
How Truly Effective CRO Requires Great UXGiles Thomas
 
Maturing from Conversion Optimisation to Business Optimisation - Paul Rouke f...
Maturing from Conversion Optimisation to Business Optimisation - Paul Rouke f...Maturing from Conversion Optimisation to Business Optimisation - Paul Rouke f...
Maturing from Conversion Optimisation to Business Optimisation - Paul Rouke f...PRWD
 
Define Testing Goals that Influence Conversion
Define Testing Goals that Influence ConversionDefine Testing Goals that Influence Conversion
Define Testing Goals that Influence ConversionOptimizely
 
Google Analytics Crash Course
Google Analytics Crash CourseGoogle Analytics Crash Course
Google Analytics Crash CoursePeter O'Neill
 
The Six Dimensions of CX Strategy
The Six Dimensions of CX StrategyThe Six Dimensions of CX Strategy
The Six Dimensions of CX StrategyBill Staikos
 
The Personalization Playbook: Secrets from successful real-world experiments
 The Personalization Playbook: Secrets from successful real-world experiments The Personalization Playbook: Secrets from successful real-world experiments
The Personalization Playbook: Secrets from successful real-world experimentsOptimizely
 
Data transformation in the sales environment - cat herding in sales prez
Data transformation in the sales environment - cat herding in sales prezData transformation in the sales environment - cat herding in sales prez
Data transformation in the sales environment - cat herding in sales prezBarry Magee
 
Data Strategy for Digital Sales : Case Study & Best Practice
Data Strategy for Digital Sales : Case Study & Best PracticeData Strategy for Digital Sales : Case Study & Best Practice
Data Strategy for Digital Sales : Case Study & Best PracticeBarry Magee
 
Optimizely's Optimization Benchmark Findings Webinar Slides
Optimizely's Optimization Benchmark Findings Webinar SlidesOptimizely's Optimization Benchmark Findings Webinar Slides
Optimizely's Optimization Benchmark Findings Webinar SlidesOptimizely
 
Revealing Behavior: Web Analytics Strategy 101
Revealing Behavior: Web Analytics Strategy 101Revealing Behavior: Web Analytics Strategy 101
Revealing Behavior: Web Analytics Strategy 101Ravi Singh
 
Lucidworks & IMRG Webinar – Best-In-Class Retail Product Discovery
Lucidworks & IMRG Webinar – Best-In-Class Retail Product DiscoveryLucidworks & IMRG Webinar – Best-In-Class Retail Product Discovery
Lucidworks & IMRG Webinar – Best-In-Class Retail Product DiscoveryLucidworks
 

What's hot (20)

Driving Customer Experience and Business Revenues Through Search Engines
Driving Customer Experience and Business Revenues Through Search EnginesDriving Customer Experience and Business Revenues Through Search Engines
Driving Customer Experience and Business Revenues Through Search Engines
 
Customer Insight Powerpoint Presentation Slides
Customer Insight Powerpoint Presentation SlidesCustomer Insight Powerpoint Presentation Slides
Customer Insight Powerpoint Presentation Slides
 
Radical Analytics, Superweek Hungary, January 2017
Radical Analytics, Superweek Hungary, January 2017Radical Analytics, Superweek Hungary, January 2017
Radical Analytics, Superweek Hungary, January 2017
 
Predictive Conversion Modeling - Lifting Web Analytics to the next level
Predictive Conversion Modeling - Lifting Web Analytics to the next levelPredictive Conversion Modeling - Lifting Web Analytics to the next level
Predictive Conversion Modeling - Lifting Web Analytics to the next level
 
Co-dependency with Clients - building a great product ≠ great product success
Co-dependency with Clients - building a great product ≠ great product successCo-dependency with Clients - building a great product ≠ great product success
Co-dependency with Clients - building a great product ≠ great product success
 
Employee Engagement Analytics Suite – EmPOWER Flyer
Employee Engagement Analytics Suite – EmPOWER FlyerEmployee Engagement Analytics Suite – EmPOWER Flyer
Employee Engagement Analytics Suite – EmPOWER Flyer
 
Customer Experience Analytics Solution
Customer Experience Analytics SolutionCustomer Experience Analytics Solution
Customer Experience Analytics Solution
 
1140 track 3 ramirez_using our laptop
1140 track 3 ramirez_using our laptop1140 track 3 ramirez_using our laptop
1140 track 3 ramirez_using our laptop
 
How Truly Effective CRO Requires Great UX
How Truly Effective CRO Requires Great UXHow Truly Effective CRO Requires Great UX
How Truly Effective CRO Requires Great UX
 
Maturing from Conversion Optimisation to Business Optimisation - Paul Rouke f...
Maturing from Conversion Optimisation to Business Optimisation - Paul Rouke f...Maturing from Conversion Optimisation to Business Optimisation - Paul Rouke f...
Maturing from Conversion Optimisation to Business Optimisation - Paul Rouke f...
 
Define Testing Goals that Influence Conversion
Define Testing Goals that Influence ConversionDefine Testing Goals that Influence Conversion
Define Testing Goals that Influence Conversion
 
Google Analytics Crash Course
Google Analytics Crash CourseGoogle Analytics Crash Course
Google Analytics Crash Course
 
The Six Dimensions of CX Strategy
The Six Dimensions of CX StrategyThe Six Dimensions of CX Strategy
The Six Dimensions of CX Strategy
 
The Personalization Playbook: Secrets from successful real-world experiments
 The Personalization Playbook: Secrets from successful real-world experiments The Personalization Playbook: Secrets from successful real-world experiments
The Personalization Playbook: Secrets from successful real-world experiments
 
Data transformation in the sales environment - cat herding in sales prez
Data transformation in the sales environment - cat herding in sales prezData transformation in the sales environment - cat herding in sales prez
Data transformation in the sales environment - cat herding in sales prez
 
Data Strategy for Digital Sales : Case Study & Best Practice
Data Strategy for Digital Sales : Case Study & Best PracticeData Strategy for Digital Sales : Case Study & Best Practice
Data Strategy for Digital Sales : Case Study & Best Practice
 
Market Research Technologies
Market Research TechnologiesMarket Research Technologies
Market Research Technologies
 
Optimizely's Optimization Benchmark Findings Webinar Slides
Optimizely's Optimization Benchmark Findings Webinar SlidesOptimizely's Optimization Benchmark Findings Webinar Slides
Optimizely's Optimization Benchmark Findings Webinar Slides
 
Revealing Behavior: Web Analytics Strategy 101
Revealing Behavior: Web Analytics Strategy 101Revealing Behavior: Web Analytics Strategy 101
Revealing Behavior: Web Analytics Strategy 101
 
Lucidworks & IMRG Webinar – Best-In-Class Retail Product Discovery
Lucidworks & IMRG Webinar – Best-In-Class Retail Product DiscoveryLucidworks & IMRG Webinar – Best-In-Class Retail Product Discovery
Lucidworks & IMRG Webinar – Best-In-Class Retail Product Discovery
 

Similar to 1115 track1 harmanos

"The Business of Data" workshop, Ishai Shamir @Producttank TLV, September 2017
"The Business of Data" workshop, Ishai Shamir @Producttank TLV, September 2017 "The Business of Data" workshop, Ishai Shamir @Producttank TLV, September 2017
"The Business of Data" workshop, Ishai Shamir @Producttank TLV, September 2017 ProductTank TLV
 
Maryann Werner - Work Portfolio
Maryann Werner - Work PortfolioMaryann Werner - Work Portfolio
Maryann Werner - Work PortfolioMaryann Werner
 
Advancing the analytics maturity curve at your organization
Advancing the analytics maturity curve at your organizationAdvancing the analytics maturity curve at your organization
Advancing the analytics maturity curve at your organizationRamkumar Ravichandran
 
Rapid insights offer brief
Rapid insights offer briefRapid insights offer brief
Rapid insights offer briefCole Whitney
 
Kiran - Senior_System_Business_Consultant_ETL_DW
Kiran - Senior_System_Business_Consultant_ETL_DWKiran - Senior_System_Business_Consultant_ETL_DW
Kiran - Senior_System_Business_Consultant_ETL_DWNagaRaghuKiranPenuju
 
Alterdata.io company profile
Alterdata.io company profileAlterdata.io company profile
Alterdata.io company profileKamil Ciukszo
 
BI Knowledge Sharing Session 1
BI Knowledge Sharing Session 1BI Knowledge Sharing Session 1
BI Knowledge Sharing Session 1Kelvin Chan
 
PrADS Introduction & offerings 2017
PrADS Introduction & offerings 2017 PrADS Introduction & offerings 2017
PrADS Introduction & offerings 2017 Kiran Kumar Muthyala
 
Tableau Conference 2014 Presentation
Tableau Conference 2014 PresentationTableau Conference 2014 Presentation
Tableau Conference 2014 Presentationkrystalstjulien
 
Competency Mapping final
Competency Mapping finalCompetency Mapping final
Competency Mapping finalTabassum Beig
 
Building AI strategy in organizations
Building AI strategy in organizationsBuilding AI strategy in organizations
Building AI strategy in organizationsVyratechITSolutions
 
Advancing Testing Program Maturity in your organization
Advancing Testing Program Maturity in your organizationAdvancing Testing Program Maturity in your organization
Advancing Testing Program Maturity in your organizationRamkumar Ravichandran
 
Marketing Plan Presentation Template 2018
Marketing Plan Presentation Template 2018Marketing Plan Presentation Template 2018
Marketing Plan Presentation Template 2018Demand Metric
 
Marketing DNA Brochure LR
Marketing DNA Brochure LRMarketing DNA Brochure LR
Marketing DNA Brochure LRLisa Stark
 
Building a Complete View Across the Customer Experience on Oracle BICS
Building a Complete View Across the Customer Experience on Oracle BICSBuilding a Complete View Across the Customer Experience on Oracle BICS
Building a Complete View Across the Customer Experience on Oracle BICSShiv Bharti
 
Group 1 Report CRISP - DM METHODOLOGY.pptx
Group 1 Report CRISP - DM METHODOLOGY.pptxGroup 1 Report CRISP - DM METHODOLOGY.pptx
Group 1 Report CRISP - DM METHODOLOGY.pptxellamangapis2003
 
Agile Team Performance Measurement webinar
Agile Team Performance Measurement webinarAgile Team Performance Measurement webinar
Agile Team Performance Measurement webinarNesma
 

Similar to 1115 track1 harmanos (20)

"The Business of Data" workshop, Ishai Shamir @Producttank TLV, September 2017
"The Business of Data" workshop, Ishai Shamir @Producttank TLV, September 2017 "The Business of Data" workshop, Ishai Shamir @Producttank TLV, September 2017
"The Business of Data" workshop, Ishai Shamir @Producttank TLV, September 2017
 
Maryann Werner - Work Portfolio
Maryann Werner - Work PortfolioMaryann Werner - Work Portfolio
Maryann Werner - Work Portfolio
 
Strategy analysis
Strategy analysisStrategy analysis
Strategy analysis
 
Data mining
Data miningData mining
Data mining
 
Advancing the analytics maturity curve at your organization
Advancing the analytics maturity curve at your organizationAdvancing the analytics maturity curve at your organization
Advancing the analytics maturity curve at your organization
 
Rapid insights offer brief
Rapid insights offer briefRapid insights offer brief
Rapid insights offer brief
 
Kiran - Senior_System_Business_Consultant_ETL_DW
Kiran - Senior_System_Business_Consultant_ETL_DWKiran - Senior_System_Business_Consultant_ETL_DW
Kiran - Senior_System_Business_Consultant_ETL_DW
 
Alterdata.io company profile
Alterdata.io company profileAlterdata.io company profile
Alterdata.io company profile
 
BI Knowledge Sharing Session 1
BI Knowledge Sharing Session 1BI Knowledge Sharing Session 1
BI Knowledge Sharing Session 1
 
PrADS Introduction & offerings 2017
PrADS Introduction & offerings 2017 PrADS Introduction & offerings 2017
PrADS Introduction & offerings 2017
 
Tableau Conference 2014 Presentation
Tableau Conference 2014 PresentationTableau Conference 2014 Presentation
Tableau Conference 2014 Presentation
 
Competency Mapping final
Competency Mapping finalCompetency Mapping final
Competency Mapping final
 
Building AI strategy in organizations
Building AI strategy in organizationsBuilding AI strategy in organizations
Building AI strategy in organizations
 
Advancing Testing Program Maturity in your organization
Advancing Testing Program Maturity in your organizationAdvancing Testing Program Maturity in your organization
Advancing Testing Program Maturity in your organization
 
Marketing Plan Presentation Template 2018
Marketing Plan Presentation Template 2018Marketing Plan Presentation Template 2018
Marketing Plan Presentation Template 2018
 
Marketing DNA
Marketing DNAMarketing DNA
Marketing DNA
 
Marketing DNA Brochure LR
Marketing DNA Brochure LRMarketing DNA Brochure LR
Marketing DNA Brochure LR
 
Building a Complete View Across the Customer Experience on Oracle BICS
Building a Complete View Across the Customer Experience on Oracle BICSBuilding a Complete View Across the Customer Experience on Oracle BICS
Building a Complete View Across the Customer Experience on Oracle BICS
 
Group 1 Report CRISP - DM METHODOLOGY.pptx
Group 1 Report CRISP - DM METHODOLOGY.pptxGroup 1 Report CRISP - DM METHODOLOGY.pptx
Group 1 Report CRISP - DM METHODOLOGY.pptx
 
Agile Team Performance Measurement webinar
Agile Team Performance Measurement webinarAgile Team Performance Measurement webinar
Agile Team Performance Measurement webinar
 

More from Rising Media, Inc.

1415 track 1 wu_using his laptop
1415 track 1 wu_using his laptop1415 track 1 wu_using his laptop
1415 track 1 wu_using his laptopRising Media, Inc.
 
1620 keynote olson_using our laptop
1620 keynote olson_using our laptop1620 keynote olson_using our laptop
1620 keynote olson_using our laptopRising Media, Inc.
 
1530 track 2 stuart_using our laptop
1530 track 2 stuart_using our laptop1530 track 2 stuart_using our laptop
1530 track 2 stuart_using our laptopRising Media, Inc.
 
1530 track 1 fader_using our laptop
1530 track 1 fader_using our laptop1530 track 1 fader_using our laptop
1530 track 1 fader_using our laptopRising Media, Inc.
 
1215 daa lunch owusu_using our laptop
1215 daa lunch owusu_using our laptop1215 daa lunch owusu_using our laptop
1215 daa lunch owusu_using our laptopRising Media, Inc.
 
1215 daa lunch a bos intro slides_using our laptop
1215 daa lunch a bos intro slides_using our laptop1215 daa lunch a bos intro slides_using our laptop
1215 daa lunch a bos intro slides_using our laptopRising Media, Inc.
 
855 sponsor movassate_using our laptop
855 sponsor movassate_using our laptop855 sponsor movassate_using our laptop
855 sponsor movassate_using our laptopRising Media, Inc.
 
1325 keynote yale_pdf shareable
1325 keynote yale_pdf shareable1325 keynote yale_pdf shareable
1325 keynote yale_pdf shareableRising Media, Inc.
 
905 keynote peele_using our laptop
905 keynote peele_using our laptop905 keynote peele_using our laptop
905 keynote peele_using our laptopRising Media, Inc.
 

More from Rising Media, Inc. (20)

1415 track 1 wu_using his laptop
1415 track 1 wu_using his laptop1415 track 1 wu_using his laptop
1415 track 1 wu_using his laptop
 
Matt gershoff
Matt gershoffMatt gershoff
Matt gershoff
 
Keynote adam greco
Keynote adam grecoKeynote adam greco
Keynote adam greco
 
1620 keynote olson_using our laptop
1620 keynote olson_using our laptop1620 keynote olson_using our laptop
1620 keynote olson_using our laptop
 
1530 track 2 stuart_using our laptop
1530 track 2 stuart_using our laptop1530 track 2 stuart_using our laptop
1530 track 2 stuart_using our laptop
 
1530 track 1 fader_using our laptop
1530 track 1 fader_using our laptop1530 track 1 fader_using our laptop
1530 track 1 fader_using our laptop
 
1415 track 2 richardson
1415 track 2 richardson1415 track 2 richardson
1415 track 2 richardson
 
1215 daa lunch owusu_using our laptop
1215 daa lunch owusu_using our laptop1215 daa lunch owusu_using our laptop
1215 daa lunch owusu_using our laptop
 
1215 daa lunch a bos intro slides_using our laptop
1215 daa lunch a bos intro slides_using our laptop1215 daa lunch a bos intro slides_using our laptop
1215 daa lunch a bos intro slides_using our laptop
 
915 e metrics_claudia perlich
915 e metrics_claudia perlich915 e metrics_claudia perlich
915 e metrics_claudia perlich
 
855 sponsor movassate_using our laptop
855 sponsor movassate_using our laptop855 sponsor movassate_using our laptop
855 sponsor movassate_using our laptop
 
1615 plack using our laptop
1615 plack using our laptop1615 plack using our laptop
1615 plack using our laptop
 
1530 rimmele do not share
1530 rimmele do not share1530 rimmele do not share
1530 rimmele do not share
 
1325 keynote yale_pdf shareable
1325 keynote yale_pdf shareable1325 keynote yale_pdf shareable
1325 keynote yale_pdf shareable
 
1115 fiztgerald schuchardt
1115 fiztgerald schuchardt1115 fiztgerald schuchardt
1115 fiztgerald schuchardt
 
1000 kondic do not share
1000 kondic do not share1000 kondic do not share
1000 kondic do not share
 
905 keynote peele_using our laptop
905 keynote peele_using our laptop905 keynote peele_using our laptop
905 keynote peele_using our laptop
 
Stephen morse sharable
Stephen morse sharableStephen morse sharable
Stephen morse sharable
 
Elder shareable
Elder shareableElder shareable
Elder shareable
 
1115 ramirez using our laptop
1115 ramirez using our laptop1115 ramirez using our laptop
1115 ramirez using our laptop
 

Recently uploaded

Industrialised data - the key to AI success.pdf
Industrialised data - the key to AI success.pdfIndustrialised data - the key to AI success.pdf
Industrialised data - the key to AI success.pdfLars Albertsson
 
Brighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data StorytellingBrighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data StorytellingNeil Barnes
 
(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service
(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service
(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Serviceranjana rawat
 
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip CallDelhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Callshivangimorya083
 
Ukraine War presentation: KNOW THE BASICS
Ukraine War presentation: KNOW THE BASICSUkraine War presentation: KNOW THE BASICS
Ukraine War presentation: KNOW THE BASICSAishani27
 
Halmar dropshipping via API with DroFx
Halmar  dropshipping  via API with DroFxHalmar  dropshipping  via API with DroFx
Halmar dropshipping via API with DroFxolyaivanovalion
 
Unveiling Insights: The Role of a Data Analyst
Unveiling Insights: The Role of a Data AnalystUnveiling Insights: The Role of a Data Analyst
Unveiling Insights: The Role of a Data AnalystSamantha Rae Coolbeth
 
Al Barsha Escorts $#$ O565212860 $#$ Escort Service In Al Barsha
Al Barsha Escorts $#$ O565212860 $#$ Escort Service In Al BarshaAl Barsha Escorts $#$ O565212860 $#$ Escort Service In Al Barsha
Al Barsha Escorts $#$ O565212860 $#$ Escort Service In Al BarshaAroojKhan71
 
VIP Call Girls in Amravati Aarohi 8250192130 Independent Escort Service Amravati
VIP Call Girls in Amravati Aarohi 8250192130 Independent Escort Service AmravatiVIP Call Girls in Amravati Aarohi 8250192130 Independent Escort Service Amravati
VIP Call Girls in Amravati Aarohi 8250192130 Independent Escort Service AmravatiSuhani Kapoor
 
Midocean dropshipping via API with DroFx
Midocean dropshipping via API with DroFxMidocean dropshipping via API with DroFx
Midocean dropshipping via API with DroFxolyaivanovalion
 
Ravak dropshipping via API with DroFx.pptx
Ravak dropshipping via API with DroFx.pptxRavak dropshipping via API with DroFx.pptx
Ravak dropshipping via API with DroFx.pptxolyaivanovalion
 
Generative AI on Enterprise Cloud with NiFi and Milvus
Generative AI on Enterprise Cloud with NiFi and MilvusGenerative AI on Enterprise Cloud with NiFi and Milvus
Generative AI on Enterprise Cloud with NiFi and MilvusTimothy Spann
 
Invezz.com - Grow your wealth with trading signals
Invezz.com - Grow your wealth with trading signalsInvezz.com - Grow your wealth with trading signals
Invezz.com - Grow your wealth with trading signalsInvezz1
 
Week-01-2.ppt BBB human Computer interaction
Week-01-2.ppt BBB human Computer interactionWeek-01-2.ppt BBB human Computer interaction
Week-01-2.ppt BBB human Computer interactionfulawalesam
 
Introduction-to-Machine-Learning (1).pptx
Introduction-to-Machine-Learning (1).pptxIntroduction-to-Machine-Learning (1).pptx
Introduction-to-Machine-Learning (1).pptxfirstjob4
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...apidays
 
VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...
VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...
VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...Suhani Kapoor
 
FESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdfFESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdfMarinCaroMartnezBerg
 

Recently uploaded (20)

Industrialised data - the key to AI success.pdf
Industrialised data - the key to AI success.pdfIndustrialised data - the key to AI success.pdf
Industrialised data - the key to AI success.pdf
 
Brighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data StorytellingBrighton SEO | April 2024 | Data Storytelling
Brighton SEO | April 2024 | Data Storytelling
 
꧁❤ Aerocity Call Girls Service Aerocity Delhi ❤꧂ 9999965857 ☎️ Hard And Sexy ...
꧁❤ Aerocity Call Girls Service Aerocity Delhi ❤꧂ 9999965857 ☎️ Hard And Sexy ...꧁❤ Aerocity Call Girls Service Aerocity Delhi ❤꧂ 9999965857 ☎️ Hard And Sexy ...
꧁❤ Aerocity Call Girls Service Aerocity Delhi ❤꧂ 9999965857 ☎️ Hard And Sexy ...
 
(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service
(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service
(PARI) Call Girls Wanowrie ( 7001035870 ) HI-Fi Pune Escorts Service
 
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip CallDelhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls CP 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
 
Ukraine War presentation: KNOW THE BASICS
Ukraine War presentation: KNOW THE BASICSUkraine War presentation: KNOW THE BASICS
Ukraine War presentation: KNOW THE BASICS
 
Halmar dropshipping via API with DroFx
Halmar  dropshipping  via API with DroFxHalmar  dropshipping  via API with DroFx
Halmar dropshipping via API with DroFx
 
Unveiling Insights: The Role of a Data Analyst
Unveiling Insights: The Role of a Data AnalystUnveiling Insights: The Role of a Data Analyst
Unveiling Insights: The Role of a Data Analyst
 
Al Barsha Escorts $#$ O565212860 $#$ Escort Service In Al Barsha
Al Barsha Escorts $#$ O565212860 $#$ Escort Service In Al BarshaAl Barsha Escorts $#$ O565212860 $#$ Escort Service In Al Barsha
Al Barsha Escorts $#$ O565212860 $#$ Escort Service In Al Barsha
 
VIP Call Girls in Amravati Aarohi 8250192130 Independent Escort Service Amravati
VIP Call Girls in Amravati Aarohi 8250192130 Independent Escort Service AmravatiVIP Call Girls in Amravati Aarohi 8250192130 Independent Escort Service Amravati
VIP Call Girls in Amravati Aarohi 8250192130 Independent Escort Service Amravati
 
Midocean dropshipping via API with DroFx
Midocean dropshipping via API with DroFxMidocean dropshipping via API with DroFx
Midocean dropshipping via API with DroFx
 
Ravak dropshipping via API with DroFx.pptx
Ravak dropshipping via API with DroFx.pptxRavak dropshipping via API with DroFx.pptx
Ravak dropshipping via API with DroFx.pptx
 
Generative AI on Enterprise Cloud with NiFi and Milvus
Generative AI on Enterprise Cloud with NiFi and MilvusGenerative AI on Enterprise Cloud with NiFi and Milvus
Generative AI on Enterprise Cloud with NiFi and Milvus
 
Invezz.com - Grow your wealth with trading signals
Invezz.com - Grow your wealth with trading signalsInvezz.com - Grow your wealth with trading signals
Invezz.com - Grow your wealth with trading signals
 
Sampling (random) method and Non random.ppt
Sampling (random) method and Non random.pptSampling (random) method and Non random.ppt
Sampling (random) method and Non random.ppt
 
Week-01-2.ppt BBB human Computer interaction
Week-01-2.ppt BBB human Computer interactionWeek-01-2.ppt BBB human Computer interaction
Week-01-2.ppt BBB human Computer interaction
 
Introduction-to-Machine-Learning (1).pptx
Introduction-to-Machine-Learning (1).pptxIntroduction-to-Machine-Learning (1).pptx
Introduction-to-Machine-Learning (1).pptx
 
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
Apidays Singapore 2024 - Building Digital Trust in a Digital Economy by Veron...
 
VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...
VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...
VIP High Class Call Girls Jamshedpur Anushka 8250192130 Independent Escort Se...
 
FESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdfFESE Capital Markets Fact Sheet 2024 Q1.pdf
FESE Capital Markets Fact Sheet 2024 Q1.pdf
 

1115 track1 harmanos

  • 1.
  • 2. Mike focuses on reporting, insight conceptualization, channel optimization, and customer experience optimization via A/B testing and surveying. Mike Harmanos Marketing Analyst for Yamaha Music USA Wayne Wyatt Director of Digital Analytics Excellence Wayne has 20 years of experience working with over 100 brands across different verticals like retail, publishing, B2B, and more. @waynewyatt @mikeharmanos
  • 3. what is the DAASelf-Assessment It allows you to rate yourself against the key defined competencies of successful digital analysts.
  • 4. steps of the DAASelf-Assessment 5 easy steps: 1. Identify 2. Assess 3. Review 4. Development Plan 5. Explore Careers
  • 5. advancement with the Self-Assessment It can advance your career • Document your strengths • Determine what skillsyou need • Identifyresourcesto fill your skill gap • Benchmarkyour results • Create a professionaldevelopment plan
  • 6. how can the SelfAssessment help my team • Identify gaps in your team’s skillsets • Benchmark your team’s strengths • Figure out the best fit for each member • Determine the appropriate level for new team members
  • 7. let’s jump into some of the task statements you will be rating for your Digital Analyst Self-Assessment
  • 8. task statement: 1 Design and build reports using tools (e.g., Web analytics tools, Excel, Tableau) to monitor business performance.
  • 9. task statement: 1 knowledge • Businessobjectives • MetricsandKPIs • Analyticandreportingtoolcapabilities skills • Generatingreportsfromanalytictools • Basicdatavisualization • Automatingorcreatingefficienciesinreporting • Clarifyingthepurpose/use/audienceofthereport,identifyingthebestKPIsand supportingmetrics,andcreatingaleanreportthatfulfillsthebusinessneedanddoes notcontain“noise” • Stakeholdermanagementandexpectationsetting
  • 10. task statement: 2 Monitor data quality using basic statistical techniques to improve confidence in the data used for analysis.
  • 11. task statement: 2 knowledge • Databasecomponents • Descriptivestatistics • Trendanalysis skills • Usingspreadsheettools • Applyingaudittools • Writingqueries • Applyingstatisticaltechniques • Auditsoftware • Datacapture • Tagcode/JavaScript
  • 12. task statement: 3 Evangelize a measurement culture and contribute to analytics documentation (e.g., data dictionary, variable map) using knowledge management tools (e.g., SharePoint, Wiki) to provide a reference repository for the organization.
  • 13. task statement: 3 knowledge • Knowledgemanagementtools • Businesscontextandorganizationculture • Metrics skills • Technicalwriting • Editingknowledgemanagementtooldocuments • Makingpresentations
  • 14. task statement: 4 Participate in evaluation of digital analytics technologies based on established criteria in order to satisfy business needs
  • 15. task statement: 4 knowledge • Digital analytics products • Evaluation criteria skills • Reviewing businessand technicalspecifications • Summarizing productevaluations
  • 16. task statement: 5 Compile metadata to categorize values for analysis and reporting (e.g., products, campaigns, location, scoring, and flags).
  • 17. task statement: 5 knowledge • Existingdatavaluesandstructures • Datatransferprocess(e.g.,FTP) • Classificationprocess • Lookuptables skills • Uploadingdata • Datamanipulation
  • 18. task statement: 6 Perform quality assurance (QA) testing using tools and methods suitable to the business environment to verify that data appears within digital analytics tools as expected.
  • 19. task statement: 6 knowledge • Businessneeds • Businesscapability/feasibility • Debuggingprocesses • Debuggingtools(e.g.,Charles,Firebug,Bloodhound, ObservePoint,TMSand/orHTML/JavaScriptandCSS) skills • Executingtestplans • Workingouthowtoapplybestpracticeinareal-worldsetting. • Testingformobileenvironment(websiteandapp)mobile emulationtool.
  • 20. task statement: 7 Describe how analytics code libraries (e.g., s_code.js, analytics SDKs) function to execute the analytics data collection process.
  • 21. task statement: 7 knowledge • Vendorsoftwaredevelopmentkits(SDK)functionalityandcode skills • Reading,interpreting,andmodifyinganalytics codelibraries • Programminginintegrateddevelopmentenvironments(IDE) • Creatingsupportingclasslibraryfiles • Communicatingtechnicalinstructionstodevelopers
  • 22. task statement: 8 Document analyses requested and completed in a database to maintain institutional memory so that analyses are not repeated without due cause and so that analysis recommendations are consistent and never contradictory between projects
  • 23. task statement: 8 knowledge • Requestcategorization • Documentationstandards skills • Documentation • Classification • Indexing • Communicatingclearlyaboutanalysisrequest denials
  • 24. task statement: 9 Contribute to the ongoing maintenance of an institutional memory resource so that analysis requests are not repeated without due cause, and analysis recommendations are consistent and not contradictory between projects.
  • 25. task statement: 9 knowledge • Organizational bestpractices • Documentationmethodsandstandards • Databasestructure • Requestcategorization skills • Consistentanduniformrecordkeeping • Regularlyconsultingtheresourceforguidance • Maintenancemanagement • Communicatingclearlyaboutanalysis requestdenials
  • 26. task statement: 10 Gather business requirements for data collection to provide implementation guidance to the technical team.
  • 27. task statement: 10 knowledge • Businessobjectives • Businessenvironment • Dataelementsrequired • Datarelationships skills • Interpretingbusinessobjectives • Documentingbusinessrequirements • Advisingonbusinessobjectives • Userinteractionanddataflow • Stakeholdermanagement • Analytics tools • CollaborationwithIT
  • 28. task statement: 11 Build models (e.g., explanatory, predictive) using statistical tools to address business questions
  • 29. task statement: 11 knowledge • Organizationalenvironment • Predictivestatisticalmethods skills • Datamanipulationtools • Applyingdataminingtools
  • 30. task statement: 12 Execute analysis (e.g., segmentation, campaign) using analytic and/or statistical/applied statistical tools (e.g., Excel, SAS, R) to address business questions, issues, and opportunities.
  • 31. task statement: 12 knowledge • Analytic tools • Analytic methodologies • Attribution(e.g.,last-click,linear,weighted,etc.) • Businessobjectives skills • Applying quantitativemethodstodata • Correlatingdata • Assessingsignificance • Interpretingdataandtranslatingfindingsintobusiness insightsandrecommendations
  • 32. task statement: 13 Communicate analytic findings and actionable recommendations in a manner tailored to the target audience.
  • 33. task statement: 13 knowledge • Presentationanddatavisualization tools • Audiencerequirements(needs) • Businessobjectives skills • Presentingcomplexinformation • Usingpresentationandvisualization tools • Interpretingcomplexdata,elicitingthemostimportantpoints, andsummarizingwithclarity • Adaptingcontenttodifferentaudiences • Persuasion
  • 34. task statement: 14 Compile, integrate, and analyze data from multiple sources to identify trends, expose new opportunities, and answer ongoing business questions.
  • 35. task statement: 14 knowledge • Businessobjectivesandenvironment • Macrotrends • Businessecosystem • Onlinesurveytool skills • Combiningdatasets • Analyzing multipledatasets,includingreconciling contradictoryorinconsistentfindings • Technicalecosystem • Third-partydatasources • Distribution/publicationofdata
  • 36. task statement: 15 Analyze optimization testing results using statistical methods to make recommendations to improve user experience and business results.
  • 37. task statement: 15 knowledge • Optimizationtools(e.g.,A/Btestingtools,multivariatetesting tools) • Dataqualityissuesandmethods • Multivariatetesting(MVT) • Testingtool’simplementationandimpactsondata skills • Applying statisticalmethods • Interpretingtestresults • Determiningstatisticalsignificance
  • 38. task statement: 16 Use key performance indicators (KPIs), diagnostics, drivers, and indicators to measure performance against business goals.
  • 39. task statement: 16 knowledge • Businessgoals • KPIs skills • Analyzingdata • Creatingdashboards • Generatingreportsfromanalytictoolsanddata visualization
  • 40. task statement: 17 Obtain and incorporate benchmark data (internal, external) into reports and analysis for comparison purposes
  • 41. task statement: 17 knowledge • Digitaldataresources • Businesscontext • Descriptivestatistics • Industryandchannels skills • Aggregatingdata • Datavisualization
  • 42. task statement: 18 Translate business requirements into technical specifications and implementation instructions using standards and best practices (e.g., industry, vendor, company).
  • 43. task statement: 18 knowledge • Standarddatadictionaryusage • Tagcapabilities • Datalayercomponents • Wireframedesigns • Userandprocessworkflow skills • Writingtechnicalrequirements
  • 44. task statement: 19 Assist in troubleshooting implementation issues using tools and methods suitable to the technical environment.
  • 45. task statement: 19 knowledge • Programminglanguages(e.g.,Web:HTML,JavaScript; MobileApps:Objective-C,Java) • Debuggingprocesses • Datacollectionmethodologies skills • Usingtaggingdebuggers • Programmingskills • Interpretingtechnicaldesigndocuments
  • 46. task statement: 20 Monitor analytics governance compliance across enterprise teams to improve the consistency of sources, data, and analysis.
  • 47. task statement: 20 knowledge • Standardsandcompliancerequirements • Descriptivestatistics • Gapanalysis • Rootcauseanalysisandescalationprocess skills • Reporting • Analyzingdata
  • 48. task statement: 21 Execute test plans and document test results based on analytic requirements to validate implementations.
  • 49. task statement: 21 knowledge • Solutionimplementation • Toolcapability skills • Developingtestplans • Usingtestscriptingtools
  • 50. Once you have your Self Assessment results, what are the next steps?
  • 51. what to do with your results Professional Development Plan • Focus,prioritize,andmanageyourprofessional developmentgoalsandactivities. Explore Digital Analytics Careers • Startexploringotherjob opportunitiesontheDigitalAnalytics AssociationJobBoards.
  • 52. Once you have identified skills needed to grow in this industry, how to you obtain them?
  • 53. real world experience Analysis Exchange Providing free web analytics consulting to non-profits. On The Job Experience Don’t be afraid to try something new in your current position.
  • 54. educational resources DAA Open Member Forum Search for Thread: DigitalAnalyst Educational Resources