SlideShare a Scribd company logo
Web element-22.com | +1 (212) 353 9616 | Email frontdesk@element-22.com
Experienced leadership
Predrag Dizdarevic Edward Hawthorne Methea Tep Rohit Mathur Thomas Bodenski
• CEO of GoldenSource
• President of Capco
Reference Data Services
• CTO and CIO at Capco
• External partner in
Leading Fintech Private
Equity Fund
• Founder and Lead of
Capco Investment &
Wealth Management
Practice
• Operating Model
Transformation and
Strategy Consulting
Partner at Capco
• Investment Manager at
Bankers Trust
• EVP of Managed Data
Services and Data Utility
at SmartStream
• COO of Capco Reference
Data Services
• COO of Iverson
• Global Lead of Enterprise
Data Practice at
Headstrong
• Architect of KYC utility
platform
• Owner - Architect for
Genpact’s 'Remediation
as a Service'
• CEO/Founder of Foxeye
(consultancy focused on
trading, asset
management and
treasury)
• Global Head of Front
Office Services at State
Street IFS
• Head of R&D at
GoldenSource
Leader of industry initiatives
• Leading participant in the design, execution and analysis of financial services industry benchmarks and surveys on data management
capabilities with the EDM Council.
• Leader of Data Quality industry survey, addressing all aspects of data quality from strategy to architecture.
• Leading industry initiative to create a standard approach to quantify and monitor data quality.
• Major contributor to the formulation of the CMMI Institute’s Data Management Maturity (DMMSM) Model 1.0 and to the EDM Council’s
next generation data management model – the Data Management Capability Assessment Model (DCAM).
• One of the EDM Council’s first DCAM Authorized Partners and creator of the first cloud-based platform for DCAM assessments.
• Organizer and sponsor of industry Chief Data Officer forums and events to promote executive discourse on industry issues and solutions.
Element22 overview
• We are the leading data management technology and advisory firm focused on the financial services industry.
• We empower institutions to achieve more with data by measuring data capabilities and delivering quantifiable improvements.
• We offer an array of specialized products and expert consulting services to help firm’s advance information management.
• We are the leading provider of data management assessments based on the EDM Council’s Data Capability Assessment Model (DCAM).
• Our founders and team offer deep domain expertise as recognized industry practitioners and executives.
Company Snapshot
Element22 – Unlocking the power of data.
1
Web element-22.com | +1 (212) 353 9616 | Email frontdesk@element-22.com
Solutions
A focused solution to develop a strategic plan for enterprise data management in 6 weeks with prioritized recommendations to better
service business needs that incorporates EDM Council DCAM capability and sentiment Assessments.
A cloud-based platform for quantifying the views of stakeholder and SME communities using structured, domain-specific models (such
as BCBS 239 preparedness) that yields detailed analytics and benchmarks to make better decisions.
An innovative data quality measurement solution that combines uniform and easily comparable quality metrics and measurements
with visualization and dynamic analysis of the results, supporting continual monitoring and benchmarks. It includes collaborative,
curated cloud-based Data Rules Library based on the data quality rules of the ultimate source (e.g. exchange, issuer) with
comprehensive rules search and grouping capabilities and intuitive rules design and script-based execution.
Clients
• Asset Managers
• Pension Plans
• Hedge Funds
• Broker Dealers
• Investment Banks
• Wealth Managers
• Asset Servicing Firms
• Clearing Utilities
• Rating Agencies
• Data Vendors
• Index Providers
• Software Vendors
Data Strategy, Governance and
Stewardship
• Defined and implemented enterprise data management strategy and change programs.
• Defined and operationalized data governance organization structures, policies, procedures, roles & responsibilities.
Operations Design and Optimization
• Built global data operations organizations : defining org structures, roles & responsibilities, processes and procedures.
• Optimized data operations organizations based on industry best practices to ensure ongoing compliance and quality.
Business Glossaries, Data Dictionaries,
Taxonomies and Ontologies
• Developed full methodology for initial build, maintenance and governance of business vocabulary and taxonomy.
• Established common languages and business glossaries; built data dictionaries and taxonomies.
• Defined Critical Data Element (CDE) selection criteria. Defined and led CDE selection processes.
Selection of Data Management Tools
and Data Feeds
• Defined and managed RFP process for data management technologies, i.e. Multi-Domain MDM selection including POC.
• Optimized data sourcing based on specific priorities, risk and business context.
Architecture and Platform Design
• Developed target system architecture, transition and integration strategies for data management solutions.
• Designed architectures detailing components, integrations and business processes for data management.
Data Quality Strategy, Metrics and
Rules
• Developed data quality strategy, metrics, rules and assurance processes by defining relevant dimensions of data quality,
their measurement approach and CDEs. Applied specific data quality rules for CDEs and DQ dimensions.
Monetization of data-related assets
• Assess and validate the value of services, technologies, and data offered by the organization to internal and external clients
• Define go-to-market strategies, approaches, and branding to monetize existing data-related assets
• Advise buyers or sellers on the acquisition or sale of data-related assets including software, content, or entire organizations
Company Snapshot
Innovative solutions for effective data management.
2

More Related Content

What's hot

How to Realize Benefits from Data Management Maturity Models
How to Realize Benefits from Data Management Maturity ModelsHow to Realize Benefits from Data Management Maturity Models
How to Realize Benefits from Data Management Maturity Models
Kingland
 
Master data management gfoa
Master data management gfoaMaster data management gfoa
Master data management gfoa
Harry Black
 
7 principles of data quality management
7 principles of data quality management7 principles of data quality management
7 principles of data quality management
MileyJames
 
Infogix BCBS 239 Implementation Challenges
Infogix BCBS 239 Implementation ChallengesInfogix BCBS 239 Implementation Challenges
Infogix BCBS 239 Implementation Challenges
Michelle Genser
 
Data Management Strategy
Data Management StrategyData Management Strategy
Data Management Strategy
Axis Technology, LLC
 
Mdm Dg Summit 2011 Icbc Case Study By R Lee F Ismail Final
Mdm  Dg Summit 2011   Icbc Case Study By R Lee F Ismail FinalMdm  Dg Summit 2011   Icbc Case Study By R Lee F Ismail Final
Mdm Dg Summit 2011 Icbc Case Study By R Lee F Ismail Final
Richard Lee
 
Data Management Maturity Assessment
Data Management Maturity AssessmentData Management Maturity Assessment
Data Management Maturity Assessment
Firas Hamdan
 
Metadata Repositories in Health Care - Master Data Management Approach to Met...
Metadata Repositories in Health Care - Master Data Management Approach to Met...Metadata Repositories in Health Care - Master Data Management Approach to Met...
Metadata Repositories in Health Care - Master Data Management Approach to Met...
Health Informatics New Zealand
 
Data Governance for Enterprises
Data Governance for EnterprisesData Governance for Enterprises
Data Governance for Enterprises
Chaitanya Avasarala
 
Data Governance And Culture
Data Governance And CultureData Governance And Culture
Data Governance And Culture
nnorthrup
 
Big Data Readiness & Business Intelligence Capabilities Matrix
Big Data Readiness & Business Intelligence Capabilities MatrixBig Data Readiness & Business Intelligence Capabilities Matrix
Big Data Readiness & Business Intelligence Capabilities Matrix
Michael Ghen
 
EIM Presentation 2016
EIM Presentation 2016EIM Presentation 2016
EIM Presentation 2016
John Bao Vuu
 
Sean\'s EBI Introduction Presentation
Sean\'s EBI Introduction PresentationSean\'s EBI Introduction Presentation
Sean\'s EBI Introduction Presentation
seanmayers
 
Healthcare payer - Big data integration
Healthcare payer - Big data integrationHealthcare payer - Big data integration
Healthcare payer - Big data integration
Rajasekaran kandhasamy
 
theprinciplesmaturitymodel
theprinciplesmaturitymodeltheprinciplesmaturitymodel
theprinciplesmaturitymodel
David Vickers
 
IT Governance - COBIT 5 Capability Assessment
IT Governance - COBIT 5 Capability AssessmentIT Governance - COBIT 5 Capability Assessment
IT Governance - COBIT 5 Capability Assessment
Eryk Budi Pratama
 
Information Governance Program
Information Governance ProgramInformation Governance Program
Information Governance Program
Bohdiman
 
Corporate Overview - Information Management Consultancy
Corporate Overview - Information Management ConsultancyCorporate Overview - Information Management Consultancy
Corporate Overview - Information Management Consultancy
Michelle Pellettier
 
Implementing bcbs 239 rdarr
Implementing bcbs 239 rdarrImplementing bcbs 239 rdarr
Implementing bcbs 239 rdarr
mzahidgill
 
Business Process Re-Engineering Case Study
Business Process Re-Engineering Case StudyBusiness Process Re-Engineering Case Study
Business Process Re-Engineering Case Study
Kanchana Weerasinghe
 

What's hot (20)

How to Realize Benefits from Data Management Maturity Models
How to Realize Benefits from Data Management Maturity ModelsHow to Realize Benefits from Data Management Maturity Models
How to Realize Benefits from Data Management Maturity Models
 
Master data management gfoa
Master data management gfoaMaster data management gfoa
Master data management gfoa
 
7 principles of data quality management
7 principles of data quality management7 principles of data quality management
7 principles of data quality management
 
Infogix BCBS 239 Implementation Challenges
Infogix BCBS 239 Implementation ChallengesInfogix BCBS 239 Implementation Challenges
Infogix BCBS 239 Implementation Challenges
 
Data Management Strategy
Data Management StrategyData Management Strategy
Data Management Strategy
 
Mdm Dg Summit 2011 Icbc Case Study By R Lee F Ismail Final
Mdm  Dg Summit 2011   Icbc Case Study By R Lee F Ismail FinalMdm  Dg Summit 2011   Icbc Case Study By R Lee F Ismail Final
Mdm Dg Summit 2011 Icbc Case Study By R Lee F Ismail Final
 
Data Management Maturity Assessment
Data Management Maturity AssessmentData Management Maturity Assessment
Data Management Maturity Assessment
 
Metadata Repositories in Health Care - Master Data Management Approach to Met...
Metadata Repositories in Health Care - Master Data Management Approach to Met...Metadata Repositories in Health Care - Master Data Management Approach to Met...
Metadata Repositories in Health Care - Master Data Management Approach to Met...
 
Data Governance for Enterprises
Data Governance for EnterprisesData Governance for Enterprises
Data Governance for Enterprises
 
Data Governance And Culture
Data Governance And CultureData Governance And Culture
Data Governance And Culture
 
Big Data Readiness & Business Intelligence Capabilities Matrix
Big Data Readiness & Business Intelligence Capabilities MatrixBig Data Readiness & Business Intelligence Capabilities Matrix
Big Data Readiness & Business Intelligence Capabilities Matrix
 
EIM Presentation 2016
EIM Presentation 2016EIM Presentation 2016
EIM Presentation 2016
 
Sean\'s EBI Introduction Presentation
Sean\'s EBI Introduction PresentationSean\'s EBI Introduction Presentation
Sean\'s EBI Introduction Presentation
 
Healthcare payer - Big data integration
Healthcare payer - Big data integrationHealthcare payer - Big data integration
Healthcare payer - Big data integration
 
theprinciplesmaturitymodel
theprinciplesmaturitymodeltheprinciplesmaturitymodel
theprinciplesmaturitymodel
 
IT Governance - COBIT 5 Capability Assessment
IT Governance - COBIT 5 Capability AssessmentIT Governance - COBIT 5 Capability Assessment
IT Governance - COBIT 5 Capability Assessment
 
Information Governance Program
Information Governance ProgramInformation Governance Program
Information Governance Program
 
Corporate Overview - Information Management Consultancy
Corporate Overview - Information Management ConsultancyCorporate Overview - Information Management Consultancy
Corporate Overview - Information Management Consultancy
 
Implementing bcbs 239 rdarr
Implementing bcbs 239 rdarrImplementing bcbs 239 rdarr
Implementing bcbs 239 rdarr
 
Business Process Re-Engineering Case Study
Business Process Re-Engineering Case StudyBusiness Process Re-Engineering Case Study
Business Process Re-Engineering Case Study
 

Similar to About Element22 - Unlocking The Power Of Data

MDM & BI Strategy For Large Enterprises
MDM & BI Strategy For Large EnterprisesMDM & BI Strategy For Large Enterprises
MDM & BI Strategy For Large Enterprises
Mark Schoeppel
 
The Digital Group’s Enterprise Transformation Consulting Services
The Digital Group’s Enterprise Transformation Consulting ServicesThe Digital Group’s Enterprise Transformation Consulting Services
The Digital Group’s Enterprise Transformation Consulting Services
The Digital Group
 
The Business Value of Metadata for Data Governance
The Business Value of Metadata for Data GovernanceThe Business Value of Metadata for Data Governance
The Business Value of Metadata for Data Governance
Roland Bullivant
 
Data architecture around risk management
Data architecture around risk managementData architecture around risk management
Data architecture around risk management
Suvradeep Rudra
 
eTeam Dm Service Offerings Introduction
eTeam Dm Service Offerings IntroductioneTeam Dm Service Offerings Introduction
eTeam Dm Service Offerings Introduction
bthakur
 
Enterprise Architecture vs. Data Architecture
Enterprise Architecture vs. Data ArchitectureEnterprise Architecture vs. Data Architecture
Enterprise Architecture vs. Data Architecture
DATAVERSITY
 
Enterprise Data Management Framework Overview
Enterprise Data Management Framework OverviewEnterprise Data Management Framework Overview
Enterprise Data Management Framework Overview
John Bao Vuu
 
Decision support systems and business intelligence
Decision support systems and business intelligenceDecision support systems and business intelligence
Decision support systems and business intelligence
Shwetabh Jaiswal
 
Increasing Your Business Data & Analytics Maturity
Increasing Your Business Data & Analytics MaturityIncreasing Your Business Data & Analytics Maturity
Increasing Your Business Data & Analytics Maturity
Mario Faria
 
Enterprise Data Governance for Financial Institutions
Enterprise Data Governance for Financial InstitutionsEnterprise Data Governance for Financial Institutions
Enterprise Data Governance for Financial Institutions
Sheldon McCarthy
 
[AIIM] Getting Stuff Done with Content - Tony Peleska and Jordan Jones
[AIIM] Getting Stuff Done with Content - Tony Peleska and Jordan Jones[AIIM] Getting Stuff Done with Content - Tony Peleska and Jordan Jones
[AIIM] Getting Stuff Done with Content - Tony Peleska and Jordan Jones
AIIM International
 
MEGA Solution Footprint V5.pptx
MEGA Solution Footprint V5.pptxMEGA Solution Footprint V5.pptx
MEGA Solution Footprint V5.pptx
WissamShehab1
 
CDMP SLIDE TRAINER .pptx
CDMP SLIDE TRAINER .pptxCDMP SLIDE TRAINER .pptx
CDMP SLIDE TRAINER .pptx
ssuser65981b
 
413451520-8-Steps-Successful-Enterprise-Data-Manag.pdf
413451520-8-Steps-Successful-Enterprise-Data-Manag.pdf413451520-8-Steps-Successful-Enterprise-Data-Manag.pdf
413451520-8-Steps-Successful-Enterprise-Data-Manag.pdf
IsmailCassiem
 
Data Governance & Data Architecture - Alignment and Synergies
Data Governance & Data Architecture - Alignment and SynergiesData Governance & Data Architecture - Alignment and Synergies
Data Governance & Data Architecture - Alignment and Synergies
DATAVERSITY
 
Business Intelligence (BI) and Data Management Basics
Business Intelligence (BI) and Data Management  Basics Business Intelligence (BI) and Data Management  Basics
Business Intelligence (BI) and Data Management Basics
amorshed
 
Decision support systems and business intelligence
Decision support systems and business intelligenceDecision support systems and business intelligence
Decision support systems and business intelligence
Shwetabh Jaiswal
 
Increasing Your Business Data and Analytics Maturity
Increasing Your Business Data and Analytics MaturityIncreasing Your Business Data and Analytics Maturity
Increasing Your Business Data and Analytics Maturity
DATAVERSITY
 
Steve Mattson Resume
Steve Mattson ResumeSteve Mattson Resume
Steve Mattson Resume
Steven Mattson
 
White Paper-2-Mapping Manager-Bringing Agility To Business Intelligence
White Paper-2-Mapping Manager-Bringing Agility To Business IntelligenceWhite Paper-2-Mapping Manager-Bringing Agility To Business Intelligence
White Paper-2-Mapping Manager-Bringing Agility To Business Intelligence
AnalytixDataServices
 

Similar to About Element22 - Unlocking The Power Of Data (20)

MDM & BI Strategy For Large Enterprises
MDM & BI Strategy For Large EnterprisesMDM & BI Strategy For Large Enterprises
MDM & BI Strategy For Large Enterprises
 
The Digital Group’s Enterprise Transformation Consulting Services
The Digital Group’s Enterprise Transformation Consulting ServicesThe Digital Group’s Enterprise Transformation Consulting Services
The Digital Group’s Enterprise Transformation Consulting Services
 
The Business Value of Metadata for Data Governance
The Business Value of Metadata for Data GovernanceThe Business Value of Metadata for Data Governance
The Business Value of Metadata for Data Governance
 
Data architecture around risk management
Data architecture around risk managementData architecture around risk management
Data architecture around risk management
 
eTeam Dm Service Offerings Introduction
eTeam Dm Service Offerings IntroductioneTeam Dm Service Offerings Introduction
eTeam Dm Service Offerings Introduction
 
Enterprise Architecture vs. Data Architecture
Enterprise Architecture vs. Data ArchitectureEnterprise Architecture vs. Data Architecture
Enterprise Architecture vs. Data Architecture
 
Enterprise Data Management Framework Overview
Enterprise Data Management Framework OverviewEnterprise Data Management Framework Overview
Enterprise Data Management Framework Overview
 
Decision support systems and business intelligence
Decision support systems and business intelligenceDecision support systems and business intelligence
Decision support systems and business intelligence
 
Increasing Your Business Data & Analytics Maturity
Increasing Your Business Data & Analytics MaturityIncreasing Your Business Data & Analytics Maturity
Increasing Your Business Data & Analytics Maturity
 
Enterprise Data Governance for Financial Institutions
Enterprise Data Governance for Financial InstitutionsEnterprise Data Governance for Financial Institutions
Enterprise Data Governance for Financial Institutions
 
[AIIM] Getting Stuff Done with Content - Tony Peleska and Jordan Jones
[AIIM] Getting Stuff Done with Content - Tony Peleska and Jordan Jones[AIIM] Getting Stuff Done with Content - Tony Peleska and Jordan Jones
[AIIM] Getting Stuff Done with Content - Tony Peleska and Jordan Jones
 
MEGA Solution Footprint V5.pptx
MEGA Solution Footprint V5.pptxMEGA Solution Footprint V5.pptx
MEGA Solution Footprint V5.pptx
 
CDMP SLIDE TRAINER .pptx
CDMP SLIDE TRAINER .pptxCDMP SLIDE TRAINER .pptx
CDMP SLIDE TRAINER .pptx
 
413451520-8-Steps-Successful-Enterprise-Data-Manag.pdf
413451520-8-Steps-Successful-Enterprise-Data-Manag.pdf413451520-8-Steps-Successful-Enterprise-Data-Manag.pdf
413451520-8-Steps-Successful-Enterprise-Data-Manag.pdf
 
Data Governance & Data Architecture - Alignment and Synergies
Data Governance & Data Architecture - Alignment and SynergiesData Governance & Data Architecture - Alignment and Synergies
Data Governance & Data Architecture - Alignment and Synergies
 
Business Intelligence (BI) and Data Management Basics
Business Intelligence (BI) and Data Management  Basics Business Intelligence (BI) and Data Management  Basics
Business Intelligence (BI) and Data Management Basics
 
Decision support systems and business intelligence
Decision support systems and business intelligenceDecision support systems and business intelligence
Decision support systems and business intelligence
 
Increasing Your Business Data and Analytics Maturity
Increasing Your Business Data and Analytics MaturityIncreasing Your Business Data and Analytics Maturity
Increasing Your Business Data and Analytics Maturity
 
Steve Mattson Resume
Steve Mattson ResumeSteve Mattson Resume
Steve Mattson Resume
 
White Paper-2-Mapping Manager-Bringing Agility To Business Intelligence
White Paper-2-Mapping Manager-Bringing Agility To Business IntelligenceWhite Paper-2-Mapping Manager-Bringing Agility To Business Intelligence
White Paper-2-Mapping Manager-Bringing Agility To Business Intelligence
 

Recently uploaded

Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
Aggregage
 
一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理
一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理
一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理
bopyb
 
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
nuttdpt
 
Palo Alto Cortex XDR presentation .......
Palo Alto Cortex XDR presentation .......Palo Alto Cortex XDR presentation .......
Palo Alto Cortex XDR presentation .......
Sachin Paul
 
一比一原版巴斯大学毕业证(Bath毕业证书)学历如何办理
一比一原版巴斯大学毕业证(Bath毕业证书)学历如何办理一比一原版巴斯大学毕业证(Bath毕业证书)学历如何办理
一比一原版巴斯大学毕业证(Bath毕业证书)学历如何办理
y3i0qsdzb
 
一比一原版(UO毕业证)渥太华大学毕业证如何办理
一比一原版(UO毕业证)渥太华大学毕业证如何办理一比一原版(UO毕业证)渥太华大学毕业证如何办理
一比一原版(UO毕业证)渥太华大学毕业证如何办理
aqzctr7x
 
Population Growth in Bataan: The effects of population growth around rural pl...
Population Growth in Bataan: The effects of population growth around rural pl...Population Growth in Bataan: The effects of population growth around rural pl...
Population Growth in Bataan: The effects of population growth around rural pl...
Bill641377
 
Module 1 ppt BIG DATA ANALYTICS_NOTES FOR MCA
Module 1 ppt BIG DATA ANALYTICS_NOTES FOR MCAModule 1 ppt BIG DATA ANALYTICS_NOTES FOR MCA
Module 1 ppt BIG DATA ANALYTICS_NOTES FOR MCA
yuvarajkumar334
 
一比一原版兰加拉学院毕业证(Langara毕业证书)学历如何办理
一比一原版兰加拉学院毕业证(Langara毕业证书)学历如何办理一比一原版兰加拉学院毕业证(Langara毕业证书)学历如何办理
一比一原版兰加拉学院毕业证(Langara毕业证书)学历如何办理
hyfjgavov
 
DATA COMMS-NETWORKS YR2 lecture 08 NAT & CLOUD.docx
DATA COMMS-NETWORKS YR2 lecture 08 NAT & CLOUD.docxDATA COMMS-NETWORKS YR2 lecture 08 NAT & CLOUD.docx
DATA COMMS-NETWORKS YR2 lecture 08 NAT & CLOUD.docx
SaffaIbrahim1
 
Build applications with generative AI on Google Cloud
Build applications with generative AI on Google CloudBuild applications with generative AI on Google Cloud
Build applications with generative AI on Google Cloud
Márton Kodok
 
原版一比一利兹贝克特大学毕业证(LeedsBeckett毕业证书)如何办理
原版一比一利兹贝克特大学毕业证(LeedsBeckett毕业证书)如何办理原版一比一利兹贝克特大学毕业证(LeedsBeckett毕业证书)如何办理
原版一比一利兹贝克特大学毕业证(LeedsBeckett毕业证书)如何办理
wyddcwye1
 
一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
nyfuhyz
 
UofT毕业证如何办理
UofT毕业证如何办理UofT毕业证如何办理
UofT毕业证如何办理
exukyp
 
原版制作(unimelb毕业证书)墨尔本大学毕业证Offer一模一样
原版制作(unimelb毕业证书)墨尔本大学毕业证Offer一模一样原版制作(unimelb毕业证书)墨尔本大学毕业证Offer一模一样
原版制作(unimelb毕业证书)墨尔本大学毕业证Offer一模一样
ihavuls
 
原版一比一弗林德斯大学毕业证(Flinders毕业证书)如何办理
原版一比一弗林德斯大学毕业证(Flinders毕业证书)如何办理原版一比一弗林德斯大学毕业证(Flinders毕业证书)如何办理
原版一比一弗林德斯大学毕业证(Flinders毕业证书)如何办理
a9qfiubqu
 
一比一原版(harvard毕业证书)哈佛大学毕业证如何办理
一比一原版(harvard毕业证书)哈佛大学毕业证如何办理一比一原版(harvard毕业证书)哈佛大学毕业证如何办理
一比一原版(harvard毕业证书)哈佛大学毕业证如何办理
taqyea
 
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
Social Samosa
 
一比一原版南十字星大学毕业证(SCU毕业证书)学历如何办理
一比一原版南十字星大学毕业证(SCU毕业证书)学历如何办理一比一原版南十字星大学毕业证(SCU毕业证书)学历如何办理
一比一原版南十字星大学毕业证(SCU毕业证书)学历如何办理
slg6lamcq
 
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
nuttdpt
 

Recently uploaded (20)

Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You...
 
一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理
一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理
一比一原版(GWU,GW文凭证书)乔治·华盛顿大学毕业证如何办理
 
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
一比一原版(UCSF文凭证书)旧金山分校毕业证如何办理
 
Palo Alto Cortex XDR presentation .......
Palo Alto Cortex XDR presentation .......Palo Alto Cortex XDR presentation .......
Palo Alto Cortex XDR presentation .......
 
一比一原版巴斯大学毕业证(Bath毕业证书)学历如何办理
一比一原版巴斯大学毕业证(Bath毕业证书)学历如何办理一比一原版巴斯大学毕业证(Bath毕业证书)学历如何办理
一比一原版巴斯大学毕业证(Bath毕业证书)学历如何办理
 
一比一原版(UO毕业证)渥太华大学毕业证如何办理
一比一原版(UO毕业证)渥太华大学毕业证如何办理一比一原版(UO毕业证)渥太华大学毕业证如何办理
一比一原版(UO毕业证)渥太华大学毕业证如何办理
 
Population Growth in Bataan: The effects of population growth around rural pl...
Population Growth in Bataan: The effects of population growth around rural pl...Population Growth in Bataan: The effects of population growth around rural pl...
Population Growth in Bataan: The effects of population growth around rural pl...
 
Module 1 ppt BIG DATA ANALYTICS_NOTES FOR MCA
Module 1 ppt BIG DATA ANALYTICS_NOTES FOR MCAModule 1 ppt BIG DATA ANALYTICS_NOTES FOR MCA
Module 1 ppt BIG DATA ANALYTICS_NOTES FOR MCA
 
一比一原版兰加拉学院毕业证(Langara毕业证书)学历如何办理
一比一原版兰加拉学院毕业证(Langara毕业证书)学历如何办理一比一原版兰加拉学院毕业证(Langara毕业证书)学历如何办理
一比一原版兰加拉学院毕业证(Langara毕业证书)学历如何办理
 
DATA COMMS-NETWORKS YR2 lecture 08 NAT & CLOUD.docx
DATA COMMS-NETWORKS YR2 lecture 08 NAT & CLOUD.docxDATA COMMS-NETWORKS YR2 lecture 08 NAT & CLOUD.docx
DATA COMMS-NETWORKS YR2 lecture 08 NAT & CLOUD.docx
 
Build applications with generative AI on Google Cloud
Build applications with generative AI on Google CloudBuild applications with generative AI on Google Cloud
Build applications with generative AI on Google Cloud
 
原版一比一利兹贝克特大学毕业证(LeedsBeckett毕业证书)如何办理
原版一比一利兹贝克特大学毕业证(LeedsBeckett毕业证书)如何办理原版一比一利兹贝克特大学毕业证(LeedsBeckett毕业证书)如何办理
原版一比一利兹贝克特大学毕业证(LeedsBeckett毕业证书)如何办理
 
一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
一比一原版(UMN文凭证书)明尼苏达大学毕业证如何办理
 
UofT毕业证如何办理
UofT毕业证如何办理UofT毕业证如何办理
UofT毕业证如何办理
 
原版制作(unimelb毕业证书)墨尔本大学毕业证Offer一模一样
原版制作(unimelb毕业证书)墨尔本大学毕业证Offer一模一样原版制作(unimelb毕业证书)墨尔本大学毕业证Offer一模一样
原版制作(unimelb毕业证书)墨尔本大学毕业证Offer一模一样
 
原版一比一弗林德斯大学毕业证(Flinders毕业证书)如何办理
原版一比一弗林德斯大学毕业证(Flinders毕业证书)如何办理原版一比一弗林德斯大学毕业证(Flinders毕业证书)如何办理
原版一比一弗林德斯大学毕业证(Flinders毕业证书)如何办理
 
一比一原版(harvard毕业证书)哈佛大学毕业证如何办理
一比一原版(harvard毕业证书)哈佛大学毕业证如何办理一比一原版(harvard毕业证书)哈佛大学毕业证如何办理
一比一原版(harvard毕业证书)哈佛大学毕业证如何办理
 
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
4th Modern Marketing Reckoner by MMA Global India & Group M: 60+ experts on W...
 
一比一原版南十字星大学毕业证(SCU毕业证书)学历如何办理
一比一原版南十字星大学毕业证(SCU毕业证书)学历如何办理一比一原版南十字星大学毕业证(SCU毕业证书)学历如何办理
一比一原版南十字星大学毕业证(SCU毕业证书)学历如何办理
 
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
一比一原版(UCSB文凭证书)圣芭芭拉分校毕业证如何办理
 

About Element22 - Unlocking The Power Of Data

  • 1. Web element-22.com | +1 (212) 353 9616 | Email frontdesk@element-22.com Experienced leadership Predrag Dizdarevic Edward Hawthorne Methea Tep Rohit Mathur Thomas Bodenski • CEO of GoldenSource • President of Capco Reference Data Services • CTO and CIO at Capco • External partner in Leading Fintech Private Equity Fund • Founder and Lead of Capco Investment & Wealth Management Practice • Operating Model Transformation and Strategy Consulting Partner at Capco • Investment Manager at Bankers Trust • EVP of Managed Data Services and Data Utility at SmartStream • COO of Capco Reference Data Services • COO of Iverson • Global Lead of Enterprise Data Practice at Headstrong • Architect of KYC utility platform • Owner - Architect for Genpact’s 'Remediation as a Service' • CEO/Founder of Foxeye (consultancy focused on trading, asset management and treasury) • Global Head of Front Office Services at State Street IFS • Head of R&D at GoldenSource Leader of industry initiatives • Leading participant in the design, execution and analysis of financial services industry benchmarks and surveys on data management capabilities with the EDM Council. • Leader of Data Quality industry survey, addressing all aspects of data quality from strategy to architecture. • Leading industry initiative to create a standard approach to quantify and monitor data quality. • Major contributor to the formulation of the CMMI Institute’s Data Management Maturity (DMMSM) Model 1.0 and to the EDM Council’s next generation data management model – the Data Management Capability Assessment Model (DCAM). • One of the EDM Council’s first DCAM Authorized Partners and creator of the first cloud-based platform for DCAM assessments. • Organizer and sponsor of industry Chief Data Officer forums and events to promote executive discourse on industry issues and solutions. Element22 overview • We are the leading data management technology and advisory firm focused on the financial services industry. • We empower institutions to achieve more with data by measuring data capabilities and delivering quantifiable improvements. • We offer an array of specialized products and expert consulting services to help firm’s advance information management. • We are the leading provider of data management assessments based on the EDM Council’s Data Capability Assessment Model (DCAM). • Our founders and team offer deep domain expertise as recognized industry practitioners and executives. Company Snapshot Element22 – Unlocking the power of data. 1
  • 2. Web element-22.com | +1 (212) 353 9616 | Email frontdesk@element-22.com Solutions A focused solution to develop a strategic plan for enterprise data management in 6 weeks with prioritized recommendations to better service business needs that incorporates EDM Council DCAM capability and sentiment Assessments. A cloud-based platform for quantifying the views of stakeholder and SME communities using structured, domain-specific models (such as BCBS 239 preparedness) that yields detailed analytics and benchmarks to make better decisions. An innovative data quality measurement solution that combines uniform and easily comparable quality metrics and measurements with visualization and dynamic analysis of the results, supporting continual monitoring and benchmarks. It includes collaborative, curated cloud-based Data Rules Library based on the data quality rules of the ultimate source (e.g. exchange, issuer) with comprehensive rules search and grouping capabilities and intuitive rules design and script-based execution. Clients • Asset Managers • Pension Plans • Hedge Funds • Broker Dealers • Investment Banks • Wealth Managers • Asset Servicing Firms • Clearing Utilities • Rating Agencies • Data Vendors • Index Providers • Software Vendors Data Strategy, Governance and Stewardship • Defined and implemented enterprise data management strategy and change programs. • Defined and operationalized data governance organization structures, policies, procedures, roles & responsibilities. Operations Design and Optimization • Built global data operations organizations : defining org structures, roles & responsibilities, processes and procedures. • Optimized data operations organizations based on industry best practices to ensure ongoing compliance and quality. Business Glossaries, Data Dictionaries, Taxonomies and Ontologies • Developed full methodology for initial build, maintenance and governance of business vocabulary and taxonomy. • Established common languages and business glossaries; built data dictionaries and taxonomies. • Defined Critical Data Element (CDE) selection criteria. Defined and led CDE selection processes. Selection of Data Management Tools and Data Feeds • Defined and managed RFP process for data management technologies, i.e. Multi-Domain MDM selection including POC. • Optimized data sourcing based on specific priorities, risk and business context. Architecture and Platform Design • Developed target system architecture, transition and integration strategies for data management solutions. • Designed architectures detailing components, integrations and business processes for data management. Data Quality Strategy, Metrics and Rules • Developed data quality strategy, metrics, rules and assurance processes by defining relevant dimensions of data quality, their measurement approach and CDEs. Applied specific data quality rules for CDEs and DQ dimensions. Monetization of data-related assets • Assess and validate the value of services, technologies, and data offered by the organization to internal and external clients • Define go-to-market strategies, approaches, and branding to monetize existing data-related assets • Advise buyers or sellers on the acquisition or sale of data-related assets including software, content, or entire organizations Company Snapshot Innovative solutions for effective data management. 2