SlideShare a Scribd company logo
1 of 14
Data Elicitation
Big Data Marketing & Digital Analytics
June 2014
What is Data Elicitation’s added-value for your business ?
 Most companies are organized in silos, by business
verticals and functions; so are their data too.
 Data Elicitation is a horizontal consultancy on data
management issues, with a focus on digital analytics
 A collaborative scheme implies data-oriented methods
to help your company handle Data Management
issues on a cross-business and cross-functional level
Introduction
© Data Elicitation – June 2014
 Environment -> « Patterning »
The original sin of Big Data is its formlessness. To be able to use such data,
and get the best out of it, one must organize and structure it first.
This is what patterning is about.
 Management -> « Enrichment »
Your data is rich, especially if you can use it easily thanks to an appropriate
patterning. But it may be richer. And not at such a high cost...
This is what enrichment is all about.
 Guidance -> « Analytics »
Once your data is accessible and usable, its meaning may be hidden or
blurred, and the answer to your question, lost as a needle in a haystack.
This is what analytics are about.
Data Elicitation focus
© Data Elicitation – June 2014
 Conceptualization
 Business requirements, non-functional designs
 Formal and functional design, specifications
 Data Acquisition
 Data sourcing, relationships with provider
 Data structuring, design of layouts, fields, attributes
 Project Management
 Business plans, budgets, CxO reporting,
 Team lead in French, English & German
Environment -> « Patterning »
© Data Elicitation – June 2014
 Data Categorization
 Coding policies, working routines & methods
 Work organization, documentation design
 Collaboration Scheme
 MDM tool evaluation & implementation
 Job descriptions, team support & training
 Coding Strategies
 Productivity, streamlining, outsourcing
 Quality Assurance, SLA’s, internal audit
Management -> « Enrichment »
© Data Elicitation – June 2014
 Analysis Methodologies
 Inductive reasoning, outlier identification
 Conversion funnel, drill-down analysis
 Analytics development
 New metrics & analysis schemes, ad-hoc KPI’s
 Research in new marketing solutions (Patents)
 Client servicing
 Business Cases, modelling, predictive analysis
 Client presentations, report & dashboard setup
Guidance -> « Analytics »
© Data Elicitation – June 2014
 “The top three technologies that are most widely influencing
the way that organisations operate today are mobile (70%),
social media (65%) and cloud computing (64%). However,
organisations predict that in three years’ time the biggest
influencers will then be big data analytics (50%); the ‘Internet
of things’ (37%) and dynamic visualisation tools (35%).”
(from nimbusninety.com)
 “Data Elicitation aims at providing a better understanding of
the data management issues, and how such an understanding
may benefit to the companies involved in digital activities.”
(from dataelicitation.com)
The inevitable Big Data trend
© Data Elicitation – June 2014
I. Implement an efficient data strategy
II. Run an analytical data curation
III. Design data-driven insights
Examples of potential actions
© Data Elicitation – June 2014
 Build up a data strategy in line with the global strategy
 Keywords = Silos / Content / CxO / Customer-centric
 Action points
Review of data silos
Content alignment
Cross-service enrichment
CxO acknowledgement
An efficient data strategy
 Benefits
No duplicates
Data source optimization
Servicing strategy
Customer-centric solutions
© Data Elicitation – June 2014
 Ensure IT is a data magnifier (not a constraint)
 Keywords = Business / Flexibility / Relevance / Content
 Action points
Business requirements
Proper content
Relevant data structure
Appropriate infrastructure
An analytical data curation
 Benefits
IT aligned with data strategy
Accessibility of all contents
Limit future re-designs
User-friendlier interfaces
© Data Elicitation – June 2014
 Is digital transformation aligned with global objectives
 Keywords = Watch / Board Engagement / Users / Growth
 Action points
Board expectations
Digital strategy
Design & setup
Technological watch
Data-driven insights
 Benefits
No misunderstandings
Newest tech from the start
Usefulness to business growth
Employee-friendly (Gen Y…)
© Data Elicitation – June 2014
 Implement data strategies decided at Board level
 Be an added-value to your current operational teams
 Available for various mission types
 audit (short initial assessment sessions)
 implementation (long-term methodological support)
 training (namely in the digital analytics field as a CWA)
Collaboration scheme
© Data Elicitation – June 2014
 Website
 English : http://DataElicitation.com
 French : http://fr.DataElicitation.com
 Voice
 Mobile : +33 6 87 97 98 21
 Skype : DataElicitation
 Others
 Mail : YML@DataElicitation.com
 Twitter : @DataElicitation
Contact information
© Data Elicitation – June 2014
 Complex data acquisition and
management (Big Data, MDM)
 International project lead
 Transcript of concepts into
operational products
 Product management and
marketing development
 Team management (in both
operations and client services)
 Digital & Data Analytics
 Team-work spirit
 Easy public speaker
 Adaptation capacity
 Mind-openness
 Curiosity, affinity for novelty,
technology-savviness
 Analytic & accurate thinking
 Abstraction capacity
 Tenacity, focus on achievements
 Conception of numerous innovative projects in Market
and Web Research based on the latest technologies
 Management of information sources, negotiation with
providers, security of data acquisition and transfer
 Organization of marketing operations, methods,
quality assurance (SLA, KPI), staff hiring and training
 Innovation via several patent claims, setup of fresh
working methodologies, implementation of new tools
 Client Relationship Management in various businesses
(FMCG, Retail, Selective perfumery, Telecom, ISP)
Soft skillsHard skills
Develop data management
within the company at CxO level,
and monetize it internationally
Yves-Marie Lemaître
+33 (0)6 87 97 98 21
YML@DataElicitation.com
http://DataElicitation.com
Digital Analytics Association’s Certified Web Analyst (May 2014)
Award of Achievement in Digital Analytics (August 2013)
HEC graduate (MBA in Marketing in 1989)
Trilingual French, English, German
Achievements
CHIEF DATA OFFICER IN
INTERNATIONAL ENVIRONMENTS
From a mobile phone, flash this QR code to get :
more detailed information about my career
links to my detailed Social Network profiles
addresses for my blog and the DAA website

More Related Content

What's hot

5 Steps to Transform into a Data-Driven Organization - Ganes Kesari - Gramen...
 5 Steps to Transform into a Data-Driven Organization - Ganes Kesari - Gramen... 5 Steps to Transform into a Data-Driven Organization - Ganes Kesari - Gramen...
5 Steps to Transform into a Data-Driven Organization - Ganes Kesari - Gramen...Ganes Kesari
 
When and How Data Lakes Fit into a Modern Data Architecture
When and How Data Lakes Fit into a Modern Data ArchitectureWhen and How Data Lakes Fit into a Modern Data Architecture
When and How Data Lakes Fit into a Modern Data ArchitectureDATAVERSITY
 
Integrate Your Data Science & Omni-channel Strategy to Reduce Cost and Increa...
Integrate Your Data Science & Omni-channel Strategy to Reduce Cost and Increa...Integrate Your Data Science & Omni-channel Strategy to Reduce Cost and Increa...
Integrate Your Data Science & Omni-channel Strategy to Reduce Cost and Increa...Molly Alexander
 
Demonstrating Big Value in Big Data with New Analytics Approaches
Demonstrating Big Value in Big Data with New Analytics ApproachesDemonstrating Big Value in Big Data with New Analytics Approaches
Demonstrating Big Value in Big Data with New Analytics ApproachesJulie Severance
 
Rick Mutsaers Informatica
Rick Mutsaers InformaticaRick Mutsaers Informatica
Rick Mutsaers InformaticaBigDataExpo
 
Slides: Go Beyond Dashboards With the Next Generation of Analytics
Slides: Go Beyond Dashboards With the Next Generation of AnalyticsSlides: Go Beyond Dashboards With the Next Generation of Analytics
Slides: Go Beyond Dashboards With the Next Generation of AnalyticsDATAVERSITY
 
Mobile, Wearables, Big Data and A Strategy to Move Forward (with NTT Data Ent...
Mobile, Wearables, Big Data and A Strategy to Move Forward (with NTT Data Ent...Mobile, Wearables, Big Data and A Strategy to Move Forward (with NTT Data Ent...
Mobile, Wearables, Big Data and A Strategy to Move Forward (with NTT Data Ent...Barcoding, Inc.
 
data-to-insight-to-action-taking-a-business-process-view-for-analytics-to-del...
data-to-insight-to-action-taking-a-business-process-view-for-analytics-to-del...data-to-insight-to-action-taking-a-business-process-view-for-analytics-to-del...
data-to-insight-to-action-taking-a-business-process-view-for-analytics-to-del...Sokho TRINH
 
Ensuring Data Quality and Lineage in Cloud Migration - Dan Power
Ensuring Data Quality and Lineage in Cloud Migration - Dan PowerEnsuring Data Quality and Lineage in Cloud Migration - Dan Power
Ensuring Data Quality and Lineage in Cloud Migration - Dan PowerMolly Alexander
 
The Data Driven Enterprise - Roadmap to Big Data & Analytics Success
The Data Driven Enterprise - Roadmap to Big Data & Analytics SuccessThe Data Driven Enterprise - Roadmap to Big Data & Analytics Success
The Data Driven Enterprise - Roadmap to Big Data & Analytics SuccessBigInsights
 
-Enrichment - Unlocking the value of data for digital transformation - Big Da...
-Enrichment - Unlocking the value of data for digital transformation - Big Da...-Enrichment - Unlocking the value of data for digital transformation - Big Da...
-Enrichment - Unlocking the value of data for digital transformation - Big Da...webwinkelvakdag
 
Data strategy in a Big Data world
Data strategy in a Big Data worldData strategy in a Big Data world
Data strategy in a Big Data worldCraig Milroy
 
Capturing Value from Big Data through Data Driven Business models prensetation
Capturing Value from Big Data through Data Driven Business models prensetationCapturing Value from Big Data through Data Driven Business models prensetation
Capturing Value from Big Data through Data Driven Business models prensetationMohamed Zaki
 
Data-Related Presentations
Data-Related PresentationsData-Related Presentations
Data-Related PresentationsAlan McSweeney
 
Philips Big Data Expo
Philips Big Data ExpoPhilips Big Data Expo
Philips Big Data ExpoBigDataExpo
 
DAS Slides: Data Modeling Case Study — Business Data Modeling at Kiewit
DAS Slides: Data Modeling Case Study — Business Data Modeling at KiewitDAS Slides: Data Modeling Case Study — Business Data Modeling at Kiewit
DAS Slides: Data Modeling Case Study — Business Data Modeling at KiewitDATAVERSITY
 
Best Practices in Metadata Management
Best Practices in Metadata ManagementBest Practices in Metadata Management
Best Practices in Metadata ManagementDATAVERSITY
 

What's hot (18)

Data Discovery Hype
Data Discovery Hype Data Discovery Hype
Data Discovery Hype
 
5 Steps to Transform into a Data-Driven Organization - Ganes Kesari - Gramen...
 5 Steps to Transform into a Data-Driven Organization - Ganes Kesari - Gramen... 5 Steps to Transform into a Data-Driven Organization - Ganes Kesari - Gramen...
5 Steps to Transform into a Data-Driven Organization - Ganes Kesari - Gramen...
 
When and How Data Lakes Fit into a Modern Data Architecture
When and How Data Lakes Fit into a Modern Data ArchitectureWhen and How Data Lakes Fit into a Modern Data Architecture
When and How Data Lakes Fit into a Modern Data Architecture
 
Integrate Your Data Science & Omni-channel Strategy to Reduce Cost and Increa...
Integrate Your Data Science & Omni-channel Strategy to Reduce Cost and Increa...Integrate Your Data Science & Omni-channel Strategy to Reduce Cost and Increa...
Integrate Your Data Science & Omni-channel Strategy to Reduce Cost and Increa...
 
Demonstrating Big Value in Big Data with New Analytics Approaches
Demonstrating Big Value in Big Data with New Analytics ApproachesDemonstrating Big Value in Big Data with New Analytics Approaches
Demonstrating Big Value in Big Data with New Analytics Approaches
 
Rick Mutsaers Informatica
Rick Mutsaers InformaticaRick Mutsaers Informatica
Rick Mutsaers Informatica
 
Slides: Go Beyond Dashboards With the Next Generation of Analytics
Slides: Go Beyond Dashboards With the Next Generation of AnalyticsSlides: Go Beyond Dashboards With the Next Generation of Analytics
Slides: Go Beyond Dashboards With the Next Generation of Analytics
 
Mobile, Wearables, Big Data and A Strategy to Move Forward (with NTT Data Ent...
Mobile, Wearables, Big Data and A Strategy to Move Forward (with NTT Data Ent...Mobile, Wearables, Big Data and A Strategy to Move Forward (with NTT Data Ent...
Mobile, Wearables, Big Data and A Strategy to Move Forward (with NTT Data Ent...
 
data-to-insight-to-action-taking-a-business-process-view-for-analytics-to-del...
data-to-insight-to-action-taking-a-business-process-view-for-analytics-to-del...data-to-insight-to-action-taking-a-business-process-view-for-analytics-to-del...
data-to-insight-to-action-taking-a-business-process-view-for-analytics-to-del...
 
Ensuring Data Quality and Lineage in Cloud Migration - Dan Power
Ensuring Data Quality and Lineage in Cloud Migration - Dan PowerEnsuring Data Quality and Lineage in Cloud Migration - Dan Power
Ensuring Data Quality and Lineage in Cloud Migration - Dan Power
 
The Data Driven Enterprise - Roadmap to Big Data & Analytics Success
The Data Driven Enterprise - Roadmap to Big Data & Analytics SuccessThe Data Driven Enterprise - Roadmap to Big Data & Analytics Success
The Data Driven Enterprise - Roadmap to Big Data & Analytics Success
 
-Enrichment - Unlocking the value of data for digital transformation - Big Da...
-Enrichment - Unlocking the value of data for digital transformation - Big Da...-Enrichment - Unlocking the value of data for digital transformation - Big Da...
-Enrichment - Unlocking the value of data for digital transformation - Big Da...
 
Data strategy in a Big Data world
Data strategy in a Big Data worldData strategy in a Big Data world
Data strategy in a Big Data world
 
Capturing Value from Big Data through Data Driven Business models prensetation
Capturing Value from Big Data through Data Driven Business models prensetationCapturing Value from Big Data through Data Driven Business models prensetation
Capturing Value from Big Data through Data Driven Business models prensetation
 
Data-Related Presentations
Data-Related PresentationsData-Related Presentations
Data-Related Presentations
 
Philips Big Data Expo
Philips Big Data ExpoPhilips Big Data Expo
Philips Big Data Expo
 
DAS Slides: Data Modeling Case Study — Business Data Modeling at Kiewit
DAS Slides: Data Modeling Case Study — Business Data Modeling at KiewitDAS Slides: Data Modeling Case Study — Business Data Modeling at Kiewit
DAS Slides: Data Modeling Case Study — Business Data Modeling at Kiewit
 
Best Practices in Metadata Management
Best Practices in Metadata ManagementBest Practices in Metadata Management
Best Practices in Metadata Management
 

Similar to Data Elicitation corporate presentation (june 2014)

Data strategy demistifying data
Data strategy demistifying dataData strategy demistifying data
Data strategy demistifying dataHans Verstraeten
 
Building your IT strategy (Housing Technology Conference 2014)
Building your IT strategy (Housing Technology Conference 2014)Building your IT strategy (Housing Technology Conference 2014)
Building your IT strategy (Housing Technology Conference 2014)dansimms
 
Leverage Data Strategy as a Catalyst for Innovation
Leverage Data Strategy as a Catalyst for InnovationLeverage Data Strategy as a Catalyst for Innovation
Leverage Data Strategy as a Catalyst for InnovationGlorium Tech
 
The Softer Skills Analysts need to make an impact
The Softer Skills Analysts need to make an impactThe Softer Skills Analysts need to make an impact
The Softer Skills Analysts need to make an impactPaul Laughlin
 
Why Everything You Know About bigdata Is A Lie
Why Everything You Know About bigdata Is A LieWhy Everything You Know About bigdata Is A Lie
Why Everything You Know About bigdata Is A LieSunil Ranka
 
Dynamic Talks: "Data Strategy as a Conduit for Data Maturity and Monetization...
Dynamic Talks: "Data Strategy as a Conduit for Data Maturity and Monetization...Dynamic Talks: "Data Strategy as a Conduit for Data Maturity and Monetization...
Dynamic Talks: "Data Strategy as a Conduit for Data Maturity and Monetization...Grid Dynamics
 
PPT1-Buss Intel Analytics.pptx
PPT1-Buss Intel  Analytics.pptxPPT1-Buss Intel  Analytics.pptx
PPT1-Buss Intel Analytics.pptxssuser28b150
 
Making Money Out of Data
Making Money Out of DataMaking Money Out of Data
Making Money Out of DataDigital Vidya
 
Data strategy - The Business Game Changer
Data strategy - The Business Game ChangerData strategy - The Business Game Changer
Data strategy - The Business Game ChangerAmit Pishe
 
Validating and Promoting HR Strategies with Data and Analytics
Validating and Promoting HR Strategies with Data and AnalyticsValidating and Promoting HR Strategies with Data and Analytics
Validating and Promoting HR Strategies with Data and AnalyticsMark Lawrence
 
[DSC Europe 22] The Making of a Data Organization - Denys Holovatyi
[DSC Europe 22] The Making of a Data Organization - Denys Holovatyi[DSC Europe 22] The Making of a Data Organization - Denys Holovatyi
[DSC Europe 22] The Making of a Data Organization - Denys HolovatyiDataScienceConferenc1
 
Big Data LDN 2018: DATA MANAGEMENT AUTOMATION AND THE INFORMATION SUPPLY CHAI...
Big Data LDN 2018: DATA MANAGEMENT AUTOMATION AND THE INFORMATION SUPPLY CHAI...Big Data LDN 2018: DATA MANAGEMENT AUTOMATION AND THE INFORMATION SUPPLY CHAI...
Big Data LDN 2018: DATA MANAGEMENT AUTOMATION AND THE INFORMATION SUPPLY CHAI...Matt Stubbs
 
AGILENSITE CAPABILITES
AGILENSITE CAPABILITESAGILENSITE CAPABILITES
AGILENSITE CAPABILITESMJFailor
 
Business Intelligence, Data Analytics, and AI
Business Intelligence, Data Analytics, and AIBusiness Intelligence, Data Analytics, and AI
Business Intelligence, Data Analytics, and AIJohnny Jepp
 
Insight2014 transf value_big_data_analytics_6371
Insight2014 transf value_big_data_analytics_6371Insight2014 transf value_big_data_analytics_6371
Insight2014 transf value_big_data_analytics_6371IBMgbsNA
 

Similar to Data Elicitation corporate presentation (june 2014) (20)

Data strategy demistifying data
Data strategy demistifying dataData strategy demistifying data
Data strategy demistifying data
 
BI and Big Data DeepDive - Pressmart
BI and Big Data DeepDive - PressmartBI and Big Data DeepDive - Pressmart
BI and Big Data DeepDive - Pressmart
 
From 'I think' to 'I know'
From 'I think' to 'I know'From 'I think' to 'I know'
From 'I think' to 'I know'
 
Building your IT strategy (Housing Technology Conference 2014)
Building your IT strategy (Housing Technology Conference 2014)Building your IT strategy (Housing Technology Conference 2014)
Building your IT strategy (Housing Technology Conference 2014)
 
Leverage Data Strategy as a Catalyst for Innovation
Leverage Data Strategy as a Catalyst for InnovationLeverage Data Strategy as a Catalyst for Innovation
Leverage Data Strategy as a Catalyst for Innovation
 
Get your data analytics strategy right!
Get your data analytics strategy right!Get your data analytics strategy right!
Get your data analytics strategy right!
 
The Softer Skills Analysts need to make an impact
The Softer Skills Analysts need to make an impactThe Softer Skills Analysts need to make an impact
The Softer Skills Analysts need to make an impact
 
Why Everything You Know About bigdata Is A Lie
Why Everything You Know About bigdata Is A LieWhy Everything You Know About bigdata Is A Lie
Why Everything You Know About bigdata Is A Lie
 
Dynamic Talks: "Data Strategy as a Conduit for Data Maturity and Monetization...
Dynamic Talks: "Data Strategy as a Conduit for Data Maturity and Monetization...Dynamic Talks: "Data Strategy as a Conduit for Data Maturity and Monetization...
Dynamic Talks: "Data Strategy as a Conduit for Data Maturity and Monetization...
 
PPT1-Buss Intel Analytics.pptx
PPT1-Buss Intel  Analytics.pptxPPT1-Buss Intel  Analytics.pptx
PPT1-Buss Intel Analytics.pptx
 
Making Money Out of Data
Making Money Out of DataMaking Money Out of Data
Making Money Out of Data
 
Data strategy - The Business Game Changer
Data strategy - The Business Game ChangerData strategy - The Business Game Changer
Data strategy - The Business Game Changer
 
Validating and Promoting HR Strategies with Data and Analytics
Validating and Promoting HR Strategies with Data and AnalyticsValidating and Promoting HR Strategies with Data and Analytics
Validating and Promoting HR Strategies with Data and Analytics
 
[DSC Europe 22] The Making of a Data Organization - Denys Holovatyi
[DSC Europe 22] The Making of a Data Organization - Denys Holovatyi[DSC Europe 22] The Making of a Data Organization - Denys Holovatyi
[DSC Europe 22] The Making of a Data Organization - Denys Holovatyi
 
Join Axtria - Ingenious Insights
Join Axtria - Ingenious InsightsJoin Axtria - Ingenious Insights
Join Axtria - Ingenious Insights
 
Big Data LDN 2018: DATA MANAGEMENT AUTOMATION AND THE INFORMATION SUPPLY CHAI...
Big Data LDN 2018: DATA MANAGEMENT AUTOMATION AND THE INFORMATION SUPPLY CHAI...Big Data LDN 2018: DATA MANAGEMENT AUTOMATION AND THE INFORMATION SUPPLY CHAI...
Big Data LDN 2018: DATA MANAGEMENT AUTOMATION AND THE INFORMATION SUPPLY CHAI...
 
Faster Ways To Data Insights
Faster Ways To Data InsightsFaster Ways To Data Insights
Faster Ways To Data Insights
 
AGILENSITE CAPABILITES
AGILENSITE CAPABILITESAGILENSITE CAPABILITES
AGILENSITE CAPABILITES
 
Business Intelligence, Data Analytics, and AI
Business Intelligence, Data Analytics, and AIBusiness Intelligence, Data Analytics, and AI
Business Intelligence, Data Analytics, and AI
 
Insight2014 transf value_big_data_analytics_6371
Insight2014 transf value_big_data_analytics_6371Insight2014 transf value_big_data_analytics_6371
Insight2014 transf value_big_data_analytics_6371
 

Recently uploaded

Mature dropshipping via API with DroFx.pptx
Mature dropshipping via API with DroFx.pptxMature dropshipping via API with DroFx.pptx
Mature dropshipping via API with DroFx.pptxolyaivanovalion
 
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779Delhi Call girls
 
Introduction-to-Machine-Learning (1).pptx
Introduction-to-Machine-Learning (1).pptxIntroduction-to-Machine-Learning (1).pptx
Introduction-to-Machine-Learning (1).pptxfirstjob4
 
VidaXL dropshipping via API with DroFx.pptx
VidaXL dropshipping via API with DroFx.pptxVidaXL dropshipping via API with DroFx.pptx
VidaXL dropshipping via API with DroFx.pptxolyaivanovalion
 
Smarteg dropshipping via API with DroFx.pptx
Smarteg dropshipping via API with DroFx.pptxSmarteg dropshipping via API with DroFx.pptx
Smarteg dropshipping via API with DroFx.pptxolyaivanovalion
 
Call Girls Indiranagar Just Call 👗 7737669865 👗 Top Class Call Girl Service B...
Call Girls Indiranagar Just Call 👗 7737669865 👗 Top Class Call Girl Service B...Call Girls Indiranagar Just Call 👗 7737669865 👗 Top Class Call Girl Service B...
Call Girls Indiranagar Just Call 👗 7737669865 👗 Top Class Call Girl Service B...amitlee9823
 
Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...
Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...
Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...Valters Lauzums
 
Schema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfSchema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfLars Albertsson
 
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
 
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip CallDelhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Callshivangimorya083
 
April 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's AnalysisApril 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's Analysismanisha194592
 
Accredited-Transport-Cooperatives-Jan-2021-Web.pdf
Accredited-Transport-Cooperatives-Jan-2021-Web.pdfAccredited-Transport-Cooperatives-Jan-2021-Web.pdf
Accredited-Transport-Cooperatives-Jan-2021-Web.pdfadriantubila
 
Best VIP Call Girls Noida Sector 22 Call Me: 8448380779
Best VIP Call Girls Noida Sector 22 Call Me: 8448380779Best VIP Call Girls Noida Sector 22 Call Me: 8448380779
Best VIP Call Girls Noida Sector 22 Call Me: 8448380779Delhi Call girls
 
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
 
VIP Model Call Girls Hinjewadi ( Pune ) Call ON 8005736733 Starting From 5K t...
VIP Model Call Girls Hinjewadi ( Pune ) Call ON 8005736733 Starting From 5K t...VIP Model Call Girls Hinjewadi ( Pune ) Call ON 8005736733 Starting From 5K t...
VIP Model Call Girls Hinjewadi ( Pune ) Call ON 8005736733 Starting From 5K t...SUHANI PANDEY
 
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
 

Recently uploaded (20)

Mature dropshipping via API with DroFx.pptx
Mature dropshipping via API with DroFx.pptxMature dropshipping via API with DroFx.pptx
Mature dropshipping via API with DroFx.pptx
 
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
Best VIP Call Girls Noida Sector 39 Call Me: 8448380779
 
Introduction-to-Machine-Learning (1).pptx
Introduction-to-Machine-Learning (1).pptxIntroduction-to-Machine-Learning (1).pptx
Introduction-to-Machine-Learning (1).pptx
 
VidaXL dropshipping via API with DroFx.pptx
VidaXL dropshipping via API with DroFx.pptxVidaXL dropshipping via API with DroFx.pptx
VidaXL dropshipping via API with DroFx.pptx
 
Abortion pills in Doha Qatar (+966572737505 ! Get Cytotec
Abortion pills in Doha Qatar (+966572737505 ! Get CytotecAbortion pills in Doha Qatar (+966572737505 ! Get Cytotec
Abortion pills in Doha Qatar (+966572737505 ! Get Cytotec
 
Smarteg dropshipping via API with DroFx.pptx
Smarteg dropshipping via API with DroFx.pptxSmarteg dropshipping via API with DroFx.pptx
Smarteg dropshipping via API with DroFx.pptx
 
CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICECHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
CHEAP Call Girls in Saket (-DELHI )🔝 9953056974🔝(=)/CALL GIRLS SERVICE
 
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in Kishangarh
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in  KishangarhDelhi 99530 vip 56974 Genuine Escort Service Call Girls in  Kishangarh
Delhi 99530 vip 56974 Genuine Escort Service Call Girls in Kishangarh
 
Call Girls Indiranagar Just Call 👗 7737669865 👗 Top Class Call Girl Service B...
Call Girls Indiranagar Just Call 👗 7737669865 👗 Top Class Call Girl Service B...Call Girls Indiranagar Just Call 👗 7737669865 👗 Top Class Call Girl Service B...
Call Girls Indiranagar Just Call 👗 7737669865 👗 Top Class Call Girl Service B...
 
Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...
Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...
Digital Advertising Lecture for Advanced Digital & Social Media Strategy at U...
 
Schema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdfSchema on read is obsolete. Welcome metaprogramming..pdf
Schema on read is obsolete. Welcome metaprogramming..pdf
 
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
 
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip CallDelhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
Delhi Call Girls Punjabi Bagh 9711199171 ☎✔👌✔ Whatsapp Hard And Sexy Vip Call
 
April 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's AnalysisApril 2024 - Crypto Market Report's Analysis
April 2024 - Crypto Market Report's Analysis
 
Accredited-Transport-Cooperatives-Jan-2021-Web.pdf
Accredited-Transport-Cooperatives-Jan-2021-Web.pdfAccredited-Transport-Cooperatives-Jan-2021-Web.pdf
Accredited-Transport-Cooperatives-Jan-2021-Web.pdf
 
(NEHA) Call Girls Katra Call Now 8617697112 Katra Escorts 24x7
(NEHA) Call Girls Katra Call Now 8617697112 Katra Escorts 24x7(NEHA) Call Girls Katra Call Now 8617697112 Katra Escorts 24x7
(NEHA) Call Girls Katra Call Now 8617697112 Katra Escorts 24x7
 
Best VIP Call Girls Noida Sector 22 Call Me: 8448380779
Best VIP Call Girls Noida Sector 22 Call Me: 8448380779Best VIP Call Girls Noida Sector 22 Call Me: 8448380779
Best VIP Call Girls Noida Sector 22 Call Me: 8448380779
 
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
 
VIP Model Call Girls Hinjewadi ( Pune ) Call ON 8005736733 Starting From 5K t...
VIP Model Call Girls Hinjewadi ( Pune ) Call ON 8005736733 Starting From 5K t...VIP Model Call Girls Hinjewadi ( Pune ) Call ON 8005736733 Starting From 5K t...
VIP Model Call Girls Hinjewadi ( Pune ) Call ON 8005736733 Starting From 5K t...
 
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
 

Data Elicitation corporate presentation (june 2014)

  • 1. Data Elicitation Big Data Marketing & Digital Analytics June 2014 What is Data Elicitation’s added-value for your business ?
  • 2.  Most companies are organized in silos, by business verticals and functions; so are their data too.  Data Elicitation is a horizontal consultancy on data management issues, with a focus on digital analytics  A collaborative scheme implies data-oriented methods to help your company handle Data Management issues on a cross-business and cross-functional level Introduction © Data Elicitation – June 2014
  • 3.  Environment -> « Patterning » The original sin of Big Data is its formlessness. To be able to use such data, and get the best out of it, one must organize and structure it first. This is what patterning is about.  Management -> « Enrichment » Your data is rich, especially if you can use it easily thanks to an appropriate patterning. But it may be richer. And not at such a high cost... This is what enrichment is all about.  Guidance -> « Analytics » Once your data is accessible and usable, its meaning may be hidden or blurred, and the answer to your question, lost as a needle in a haystack. This is what analytics are about. Data Elicitation focus © Data Elicitation – June 2014
  • 4.  Conceptualization  Business requirements, non-functional designs  Formal and functional design, specifications  Data Acquisition  Data sourcing, relationships with provider  Data structuring, design of layouts, fields, attributes  Project Management  Business plans, budgets, CxO reporting,  Team lead in French, English & German Environment -> « Patterning » © Data Elicitation – June 2014
  • 5.  Data Categorization  Coding policies, working routines & methods  Work organization, documentation design  Collaboration Scheme  MDM tool evaluation & implementation  Job descriptions, team support & training  Coding Strategies  Productivity, streamlining, outsourcing  Quality Assurance, SLA’s, internal audit Management -> « Enrichment » © Data Elicitation – June 2014
  • 6.  Analysis Methodologies  Inductive reasoning, outlier identification  Conversion funnel, drill-down analysis  Analytics development  New metrics & analysis schemes, ad-hoc KPI’s  Research in new marketing solutions (Patents)  Client servicing  Business Cases, modelling, predictive analysis  Client presentations, report & dashboard setup Guidance -> « Analytics » © Data Elicitation – June 2014
  • 7.  “The top three technologies that are most widely influencing the way that organisations operate today are mobile (70%), social media (65%) and cloud computing (64%). However, organisations predict that in three years’ time the biggest influencers will then be big data analytics (50%); the ‘Internet of things’ (37%) and dynamic visualisation tools (35%).” (from nimbusninety.com)  “Data Elicitation aims at providing a better understanding of the data management issues, and how such an understanding may benefit to the companies involved in digital activities.” (from dataelicitation.com) The inevitable Big Data trend © Data Elicitation – June 2014
  • 8. I. Implement an efficient data strategy II. Run an analytical data curation III. Design data-driven insights Examples of potential actions © Data Elicitation – June 2014
  • 9.  Build up a data strategy in line with the global strategy  Keywords = Silos / Content / CxO / Customer-centric  Action points Review of data silos Content alignment Cross-service enrichment CxO acknowledgement An efficient data strategy  Benefits No duplicates Data source optimization Servicing strategy Customer-centric solutions © Data Elicitation – June 2014
  • 10.  Ensure IT is a data magnifier (not a constraint)  Keywords = Business / Flexibility / Relevance / Content  Action points Business requirements Proper content Relevant data structure Appropriate infrastructure An analytical data curation  Benefits IT aligned with data strategy Accessibility of all contents Limit future re-designs User-friendlier interfaces © Data Elicitation – June 2014
  • 11.  Is digital transformation aligned with global objectives  Keywords = Watch / Board Engagement / Users / Growth  Action points Board expectations Digital strategy Design & setup Technological watch Data-driven insights  Benefits No misunderstandings Newest tech from the start Usefulness to business growth Employee-friendly (Gen Y…) © Data Elicitation – June 2014
  • 12.  Implement data strategies decided at Board level  Be an added-value to your current operational teams  Available for various mission types  audit (short initial assessment sessions)  implementation (long-term methodological support)  training (namely in the digital analytics field as a CWA) Collaboration scheme © Data Elicitation – June 2014
  • 13.  Website  English : http://DataElicitation.com  French : http://fr.DataElicitation.com  Voice  Mobile : +33 6 87 97 98 21  Skype : DataElicitation  Others  Mail : YML@DataElicitation.com  Twitter : @DataElicitation Contact information © Data Elicitation – June 2014
  • 14.  Complex data acquisition and management (Big Data, MDM)  International project lead  Transcript of concepts into operational products  Product management and marketing development  Team management (in both operations and client services)  Digital & Data Analytics  Team-work spirit  Easy public speaker  Adaptation capacity  Mind-openness  Curiosity, affinity for novelty, technology-savviness  Analytic & accurate thinking  Abstraction capacity  Tenacity, focus on achievements  Conception of numerous innovative projects in Market and Web Research based on the latest technologies  Management of information sources, negotiation with providers, security of data acquisition and transfer  Organization of marketing operations, methods, quality assurance (SLA, KPI), staff hiring and training  Innovation via several patent claims, setup of fresh working methodologies, implementation of new tools  Client Relationship Management in various businesses (FMCG, Retail, Selective perfumery, Telecom, ISP) Soft skillsHard skills Develop data management within the company at CxO level, and monetize it internationally Yves-Marie Lemaître +33 (0)6 87 97 98 21 YML@DataElicitation.com http://DataElicitation.com Digital Analytics Association’s Certified Web Analyst (May 2014) Award of Achievement in Digital Analytics (August 2013) HEC graduate (MBA in Marketing in 1989) Trilingual French, English, German Achievements CHIEF DATA OFFICER IN INTERNATIONAL ENVIRONMENTS From a mobile phone, flash this QR code to get : more detailed information about my career links to my detailed Social Network profiles addresses for my blog and the DAA website