SlideShare a Scribd company logo
These -ARE- the data you are looking for
Karen Lopez, InfoAdvisors
Josh Buckner, Embarcadero Technologies
Leveraging Metadata and Data Models for Business Agility
Abstract:
Business users and analysts are often trying to solve a very specific data-
related problem, and when researching it, may wonder why certain items
don’t correlate. Maybe you need to reconcile old data and new data, and
eliminate erroneous entries. How do you find what the various terms mean
and where the relevant data resides? Business stakeholders need visibility to
the organization’s models and metadata, but at the right level of detail for
their use. Join this session to learn about business data access challenges,
including:
• What issues exist with current methods
• What information business users really need
• How to find that information
Karen Lopez will share tips and insights on working through the data
challenges for business analysts and Josh Buckner will suggest a solution to
address those concerns.
2 AD-322-S
Karen López www.datamodel.com
Karen has 20+ years of data and information architecture
experience on large, multi-project programs.
She is a frequent speaker on data modeling, data-driven
methodologies and pattern data models.
She wants you to love your data.
Josh Buckner
Josh is the Team Server Solutions Expert for
Embarcadero Technologies.
He helps our customers understand the benefits of
ER/Studio Team Server and works with them to
implement it effectively within their organizations.
A Little About InfoAdvisors…
#TeamData
Data Management
Project Management
Business Analysis
Training
Analysts Services
Consulting
www.datamodel.com
POLL: Who Are You?
Aug 2014
Agenda
2015 Year of Data
Data Stories
Metadata, Data Models & Agility
Calls to Action!
AD-322-S
2015 – Year of Data: the Vision
Big Data
Data Analytics
Business Analytics
Self Service BI
External Data
Data Science
What’s New…ish
New Technologies
• Databases/Datastores
• Cloud
• Storage
• Scalability
Techniques
• Machine Learning
• Cognitive Computing
• Semantic Technologies
• Data Science &
Analytics
Why should business users care about New?
All these build on a
data foundation
Data Rules and Specifications
Artifacts
Data Models
XML documents
JSON documents
Databases
Application Code
Data Warehouses
Data Lakes
People
Data Modelers
XML Architects
Testers
Developers
DBAs
Data Scientists
Operational Business users
How we THINK data works
Data
Applications
What could go wrong?
What could go wrong?
Applications
Applications
Applications
Applications
Applications
Applications
Applications
What could go wrong?
Data architecture complexity
is not dependent on
company size.
It is dependent upon
business processes.
What contributes to complexity?
Underfunded IT efforts
Application-driven architecture development
Compliance and regulations
Accidental architects
Architectural development without business involvement
AD-322-S
Managing Complexity
Data Models Are Wonderful
But we have lots of them…
AD-322-S
Retail Data Stories
Item / SKU / GTIN /EAN / Serialized Item
Customer versus Client versus Guest versus
Player versus Recipient versus Driver versus …..
Healthcare Data Stories
“Coding Error Renders Bad Universal Healthcare Info for 800,000 Taxpayers”
A glitch in HealthCare.gov gave the wrong year’s data.
• Lack of clarity on whether to tax a year in advance or in arrears.
• Nearly $184 million cost to taxpayers.
• Additional financial and political cost related to rework and re-filing.
• No clear model or alert available for developers during build.
& DEMo
Team Server
Takeaways….
We purchase vendor solutions and move data around
Vendors have varying data formats and rules
“Single Version of the Truth” is not feasible
We have to manage and govern these differences
AD-322-S
To deliver the value locked in our data, we need to know
where it is, how it is used and what it means
Organizations need a service that ties all these data
sources, formats, rule and metadata together
Data Models get us close, but aren’t enough to fill this
need
Takeaways….
Metadata needs its own application to manage data,
support search and queries
IT tools aren’t appropriate ways to access this data
A shared resource is better than separate resources
Takeaways….
Calls to action!
1. Ensure data artifacts are accessible
2. Provide searchable access to data artifacts
3. Support engagement with business and IT models
4. Provide linkages between business and IT models
Calls to action!
5. Ensure artifacts are “live” and up to date
6. Model, don’t document
7. Share ownership, stewardship and governance
8. Discover new value in existing data
Thank You
You were GREAT
….We should do this again….
EMBARCADERO TECHNOLOGIES
Business Driven Data Architecture.
EMBARCADERO TECHNOLOGIES
Chaotic Communication
30
EMBARCADERO TECHNOLOGIES
Coordinated & Collaborative Communication
31
EMBARCADERO TECHNOLOGIES
Learn More About ER/Studio !
• Trial Downloads: http://www.embarcadero.com/downloads
• ER/Studio Team Server Hosted Trial (Sandbox):
http://www.embarcadero.com/products/er-studio/team-server-hosted-trial
• To arrange a demo, please contact Embarcadero Sales:
sales@embarcadero.com, 1 (888) 233-2224
• http://www.embarcadero.com/data-modeling

More Related Content

What's hot

Data modeling for the business 09282010
Data modeling for the business  09282010Data modeling for the business  09282010
Data modeling for the business 09282010
ERwin Modeling
 

What's hot (20)

Data Modeling, Data Governance, & Data Quality
Data Modeling, Data Governance, & Data QualityData Modeling, Data Governance, & Data Quality
Data Modeling, Data Governance, & Data Quality
 
Metadata Governance for Vocabularies, Dictionaries, and Data
Metadata Governance for Vocabularies, Dictionaries, and DataMetadata Governance for Vocabularies, Dictionaries, and Data
Metadata Governance for Vocabularies, Dictionaries, and Data
 
Big data – solution architect
Big data – solution architectBig data – solution architect
Big data – solution architect
 
IT + Line of Business - Driving Faster, Deeper Insights Together
IT + Line of Business - Driving Faster, Deeper Insights TogetherIT + Line of Business - Driving Faster, Deeper Insights Together
IT + Line of Business - Driving Faster, Deeper Insights Together
 
Data Architecture Strategies: Artificial Intelligence - Real-World Applicatio...
Data Architecture Strategies: Artificial Intelligence - Real-World Applicatio...Data Architecture Strategies: Artificial Intelligence - Real-World Applicatio...
Data Architecture Strategies: Artificial Intelligence - Real-World Applicatio...
 
Agile & Data Modeling – How Can They Work Together?
Agile & Data Modeling – How Can They Work Together?Agile & Data Modeling – How Can They Work Together?
Agile & Data Modeling – How Can They Work Together?
 
Data Architecture, Solution Architecture, Platform Architecture — What’s the ...
Data Architecture, Solution Architecture, Platform Architecture — What’s the ...Data Architecture, Solution Architecture, Platform Architecture — What’s the ...
Data Architecture, Solution Architecture, Platform Architecture — What’s the ...
 
Data modeling for the business 09282010
Data modeling for the business  09282010Data modeling for the business  09282010
Data modeling for the business 09282010
 
Enterprise Architecture vs. Data Architecture
Enterprise Architecture vs. Data ArchitectureEnterprise Architecture vs. Data Architecture
Enterprise Architecture vs. Data Architecture
 
Do-It-Yourself Metadata Framework
Do-It-Yourself Metadata FrameworkDo-It-Yourself Metadata Framework
Do-It-Yourself Metadata Framework
 
The Importance of MDM - Eternal Management of the Data Mind
The Importance of MDM - Eternal Management of the Data MindThe Importance of MDM - Eternal Management of the Data Mind
The Importance of MDM - Eternal Management of the Data Mind
 
Big Challenges in Data Modeling Webinar: Data Security, Data Breaches – Data ...
Big Challenges in Data Modeling Webinar: Data Security, Data Breaches – Data ...Big Challenges in Data Modeling Webinar: Data Security, Data Breaches – Data ...
Big Challenges in Data Modeling Webinar: Data Security, Data Breaches – Data ...
 
Keysto effectivedatavisualization fsfp
Keysto effectivedatavisualization fsfpKeysto effectivedatavisualization fsfp
Keysto effectivedatavisualization fsfp
 
Data Integration Trends in 2021
Data Integration Trends in 2021Data Integration Trends in 2021
Data Integration Trends in 2021
 
RWDG Webinar: Align Data Modeling with Data Governance
RWDG Webinar: Align Data Modeling with Data GovernanceRWDG Webinar: Align Data Modeling with Data Governance
RWDG Webinar: Align Data Modeling with Data Governance
 
How Can You Calculate the Cost of Your Data?
How Can You Calculate the Cost of Your Data?How Can You Calculate the Cost of Your Data?
How Can You Calculate the Cost of Your Data?
 
DAMA Business Glossary
DAMA Business Glossary DAMA Business Glossary
DAMA Business Glossary
 
CDO Webinar: Coordinating Your Data Strategies – When Data Management Worlds ...
CDO Webinar: Coordinating Your Data Strategies – When Data Management Worlds ...CDO Webinar: Coordinating Your Data Strategies – When Data Management Worlds ...
CDO Webinar: Coordinating Your Data Strategies – When Data Management Worlds ...
 
Building a Collaborative Data Architecture
Building a Collaborative Data ArchitectureBuilding a Collaborative Data Architecture
Building a Collaborative Data Architecture
 
The one question you must never ask!" (Information Requirements Gathering for...
The one question you must never ask!" (Information Requirements Gathering for...The one question you must never ask!" (Information Requirements Gathering for...
The one question you must never ask!" (Information Requirements Gathering for...
 

Similar to These Are The Data You Are Looking For

Data-Ed: Trends in Data Modeling
Data-Ed: Trends in Data ModelingData-Ed: Trends in Data Modeling
Data-Ed: Trends in Data Modeling
Data Blueprint
 

Similar to These Are The Data You Are Looking For (20)

Data-Ed Online: Trends in Data Modeling
Data-Ed Online: Trends in Data ModelingData-Ed Online: Trends in Data Modeling
Data-Ed Online: Trends in Data Modeling
 
Data-Ed: Trends in Data Modeling
Data-Ed: Trends in Data ModelingData-Ed: Trends in Data Modeling
Data-Ed: Trends in Data Modeling
 
LDM Webinar: Data Modeling & Business Intelligence
LDM Webinar: Data Modeling & Business IntelligenceLDM Webinar: Data Modeling & Business Intelligence
LDM Webinar: Data Modeling & Business Intelligence
 
Data Modeling & Data Integration
Data Modeling & Data IntegrationData Modeling & Data Integration
Data Modeling & Data Integration
 
Metadata Strategies
Metadata StrategiesMetadata Strategies
Metadata Strategies
 
Fuel your Data-Driven Ambitions with Data Governance
Fuel your Data-Driven Ambitions with Data GovernanceFuel your Data-Driven Ambitions with Data Governance
Fuel your Data-Driven Ambitions with Data Governance
 
Self-Service Data Analysis, Data Wrangling, Data Munging, and Data Modeling –...
Self-Service Data Analysis, Data Wrangling, Data Munging, and Data Modeling –...Self-Service Data Analysis, Data Wrangling, Data Munging, and Data Modeling –...
Self-Service Data Analysis, Data Wrangling, Data Munging, and Data Modeling –...
 
Geek Sync I Does Data Modeling Have Business Value?
Geek Sync I Does Data Modeling Have Business Value?Geek Sync I Does Data Modeling Have Business Value?
Geek Sync I Does Data Modeling Have Business Value?
 
Best Practices: Data Admin & Data Management
Best Practices: Data Admin & Data ManagementBest Practices: Data Admin & Data Management
Best Practices: Data Admin & Data Management
 
Trends in Data Modeling
Trends in Data ModelingTrends in Data Modeling
Trends in Data Modeling
 
Top 3 Interesting Careers in Big Data.pdf
Top 3 Interesting Careers in Big Data.pdfTop 3 Interesting Careers in Big Data.pdf
Top 3 Interesting Careers in Big Data.pdf
 
Building the Artificially Intelligent Enterprise
Building the Artificially Intelligent EnterpriseBuilding the Artificially Intelligent Enterprise
Building the Artificially Intelligent Enterprise
 
Data Modeling & Metadata Management
Data Modeling & Metadata ManagementData Modeling & Metadata Management
Data Modeling & Metadata Management
 
What Data Do You Have and Where is It?
What Data Do You Have and Where is It? What Data Do You Have and Where is It?
What Data Do You Have and Where is It?
 
Business Centric Data Modeling
Business Centric Data ModelingBusiness Centric Data Modeling
Business Centric Data Modeling
 
Unlocking New Insights with Information Discovery
Unlocking New Insights with Information DiscoveryUnlocking New Insights with Information Discovery
Unlocking New Insights with Information Discovery
 
All Together Now: A Recipe for Successful Data Governance
All Together Now: A Recipe for Successful Data GovernanceAll Together Now: A Recipe for Successful Data Governance
All Together Now: A Recipe for Successful Data Governance
 
DAS Slides: Metadata Management From Technical Architecture & Business Techni...
DAS Slides: Metadata Management From Technical Architecture & Business Techni...DAS Slides: Metadata Management From Technical Architecture & Business Techni...
DAS Slides: Metadata Management From Technical Architecture & Business Techni...
 
The Data Lake - Balancing Data Governance and Innovation
The Data Lake - Balancing Data Governance and Innovation The Data Lake - Balancing Data Governance and Innovation
The Data Lake - Balancing Data Governance and Innovation
 
Improving Data Literacy Around Data Architecture
Improving Data Literacy Around Data ArchitectureImproving Data Literacy Around Data Architecture
Improving Data Literacy Around Data Architecture
 

More from Embarcadero Technologies

Getting Started Building Mobile Applications for iOS and Android
Getting Started Building Mobile Applications for iOS and AndroidGetting Started Building Mobile Applications for iOS and Android
Getting Started Building Mobile Applications for iOS and Android
Embarcadero Technologies
 

More from Embarcadero Technologies (20)

PyTorch for Delphi - Python Data Sciences Libraries.pdf
PyTorch for Delphi - Python Data Sciences Libraries.pdfPyTorch for Delphi - Python Data Sciences Libraries.pdf
PyTorch for Delphi - Python Data Sciences Libraries.pdf
 
Android on Windows 11 - A Developer's Perspective (Windows Subsystem For Andr...
Android on Windows 11 - A Developer's Perspective (Windows Subsystem For Andr...Android on Windows 11 - A Developer's Perspective (Windows Subsystem For Andr...
Android on Windows 11 - A Developer's Perspective (Windows Subsystem For Andr...
 
Linux GUI Applications on Windows Subsystem for Linux
Linux GUI Applications on Windows Subsystem for LinuxLinux GUI Applications on Windows Subsystem for Linux
Linux GUI Applications on Windows Subsystem for Linux
 
Python on Android with Delphi FMX - The Cross Platform GUI Framework
Python on Android with Delphi FMX - The Cross Platform GUI Framework Python on Android with Delphi FMX - The Cross Platform GUI Framework
Python on Android with Delphi FMX - The Cross Platform GUI Framework
 
Introduction to Python GUI development with Delphi for Python - Part 1: Del...
Introduction to Python GUI development with Delphi for Python - Part 1:   Del...Introduction to Python GUI development with Delphi for Python - Part 1:   Del...
Introduction to Python GUI development with Delphi for Python - Part 1: Del...
 
FMXLinux Introduction - Delphi's FireMonkey for Linux
FMXLinux Introduction - Delphi's FireMonkey for LinuxFMXLinux Introduction - Delphi's FireMonkey for Linux
FMXLinux Introduction - Delphi's FireMonkey for Linux
 
Python for Delphi Developers - Part 2
Python for Delphi Developers - Part 2Python for Delphi Developers - Part 2
Python for Delphi Developers - Part 2
 
Python for Delphi Developers - Part 1 Introduction
Python for Delphi Developers - Part 1 IntroductionPython for Delphi Developers - Part 1 Introduction
Python for Delphi Developers - Part 1 Introduction
 
RAD Industrial Automation, Labs, and Instrumentation
RAD Industrial Automation, Labs, and InstrumentationRAD Industrial Automation, Labs, and Instrumentation
RAD Industrial Automation, Labs, and Instrumentation
 
Embeddable Databases for Mobile Apps: Stress-Free Solutions with InterBase
Embeddable Databases for Mobile Apps: Stress-Free Solutions with InterBaseEmbeddable Databases for Mobile Apps: Stress-Free Solutions with InterBase
Embeddable Databases for Mobile Apps: Stress-Free Solutions with InterBase
 
Rad Server Industry Template - Connected Nurses Station - Setup Document
Rad Server Industry Template - Connected Nurses Station - Setup DocumentRad Server Industry Template - Connected Nurses Station - Setup Document
Rad Server Industry Template - Connected Nurses Station - Setup Document
 
TMS Google Mapping Components
TMS Google Mapping ComponentsTMS Google Mapping Components
TMS Google Mapping Components
 
Move Desktop Apps to the Cloud - RollApp & Embarcadero webinar
Move Desktop Apps to the Cloud - RollApp & Embarcadero webinarMove Desktop Apps to the Cloud - RollApp & Embarcadero webinar
Move Desktop Apps to the Cloud - RollApp & Embarcadero webinar
 
Useful C++ Features You Should be Using
Useful C++ Features You Should be UsingUseful C++ Features You Should be Using
Useful C++ Features You Should be Using
 
Getting Started Building Mobile Applications for iOS and Android
Getting Started Building Mobile Applications for iOS and AndroidGetting Started Building Mobile Applications for iOS and Android
Getting Started Building Mobile Applications for iOS and Android
 
Embarcadero RAD server Launch Webinar
Embarcadero RAD server Launch WebinarEmbarcadero RAD server Launch Webinar
Embarcadero RAD server Launch Webinar
 
ER/Studio 2016: Build a Business-Driven Data Architecture
ER/Studio 2016: Build a Business-Driven Data ArchitectureER/Studio 2016: Build a Business-Driven Data Architecture
ER/Studio 2016: Build a Business-Driven Data Architecture
 
The Secrets of SQL Server: Database Worst Practices
The Secrets of SQL Server: Database Worst PracticesThe Secrets of SQL Server: Database Worst Practices
The Secrets of SQL Server: Database Worst Practices
 
Driving Business Value Through Agile Data Assets
Driving Business Value Through Agile Data AssetsDriving Business Value Through Agile Data Assets
Driving Business Value Through Agile Data Assets
 
Troubleshooting Plan Changes with Query Store in SQL Server 2016
Troubleshooting Plan Changes with Query Store in SQL Server 2016Troubleshooting Plan Changes with Query Store in SQL Server 2016
Troubleshooting Plan Changes with Query Store in SQL Server 2016
 

Recently uploaded

Providing Globus Services to Users of JASMIN for Environmental Data Analysis
Providing Globus Services to Users of JASMIN for Environmental Data AnalysisProviding Globus Services to Users of JASMIN for Environmental Data Analysis
Providing Globus Services to Users of JASMIN for Environmental Data Analysis
Globus
 

Recently uploaded (20)

WSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital Transformation
WSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital TransformationWSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital Transformation
WSO2Con2024 - WSO2's IAM Vision: Identity-Led Digital Transformation
 
Studiovity film pre-production and screenwriting software
Studiovity film pre-production and screenwriting softwareStudiovity film pre-production and screenwriting software
Studiovity film pre-production and screenwriting software
 
Designing for Privacy in Amazon Web Services
Designing for Privacy in Amazon Web ServicesDesigning for Privacy in Amazon Web Services
Designing for Privacy in Amazon Web Services
 
GlobusWorld 2024 Opening Keynote session
GlobusWorld 2024 Opening Keynote sessionGlobusWorld 2024 Opening Keynote session
GlobusWorld 2024 Opening Keynote session
 
2024 RoOUG Security model for the cloud.pptx
2024 RoOUG Security model for the cloud.pptx2024 RoOUG Security model for the cloud.pptx
2024 RoOUG Security model for the cloud.pptx
 
Providing Globus Services to Users of JASMIN for Environmental Data Analysis
Providing Globus Services to Users of JASMIN for Environmental Data AnalysisProviding Globus Services to Users of JASMIN for Environmental Data Analysis
Providing Globus Services to Users of JASMIN for Environmental Data Analysis
 
Large Language Models and the End of Programming
Large Language Models and the End of ProgrammingLarge Language Models and the End of Programming
Large Language Models and the End of Programming
 
Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...
Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...
Gamify Your Mind; The Secret Sauce to Delivering Success, Continuously Improv...
 
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...
Field Employee Tracking System| MiTrack App| Best Employee Tracking Solution|...
 
A Comprehensive Look at Generative AI in Retail App Testing.pdf
A Comprehensive Look at Generative AI in Retail App Testing.pdfA Comprehensive Look at Generative AI in Retail App Testing.pdf
A Comprehensive Look at Generative AI in Retail App Testing.pdf
 
Globus Compute wth IRI Workflows - GlobusWorld 2024
Globus Compute wth IRI Workflows - GlobusWorld 2024Globus Compute wth IRI Workflows - GlobusWorld 2024
Globus Compute wth IRI Workflows - GlobusWorld 2024
 
Dominate Social Media with TubeTrivia AI’s Addictive Quiz Videos.pdf
Dominate Social Media with TubeTrivia AI’s Addictive Quiz Videos.pdfDominate Social Media with TubeTrivia AI’s Addictive Quiz Videos.pdf
Dominate Social Media with TubeTrivia AI’s Addictive Quiz Videos.pdf
 
Paketo Buildpacks : la meilleure façon de construire des images OCI? DevopsDa...
Paketo Buildpacks : la meilleure façon de construire des images OCI? DevopsDa...Paketo Buildpacks : la meilleure façon de construire des images OCI? DevopsDa...
Paketo Buildpacks : la meilleure façon de construire des images OCI? DevopsDa...
 
Vitthal Shirke Microservices Resume Montevideo
Vitthal Shirke Microservices Resume MontevideoVitthal Shirke Microservices Resume Montevideo
Vitthal Shirke Microservices Resume Montevideo
 
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...
Climate Science Flows: Enabling Petabyte-Scale Climate Analysis with the Eart...
 
First Steps with Globus Compute Multi-User Endpoints
First Steps with Globus Compute Multi-User EndpointsFirst Steps with Globus Compute Multi-User Endpoints
First Steps with Globus Compute Multi-User Endpoints
 
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...
Exploring Innovations in Data Repository Solutions - Insights from the U.S. G...
 
Software Testing Exam imp Ques Notes.pdf
Software Testing Exam imp Ques Notes.pdfSoftware Testing Exam imp Ques Notes.pdf
Software Testing Exam imp Ques Notes.pdf
 
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...
Innovating Inference - Remote Triggering of Large Language Models on HPC Clus...
 
Using IESVE for Room Loads Analysis - Australia & New Zealand
Using IESVE for Room Loads Analysis - Australia & New ZealandUsing IESVE for Room Loads Analysis - Australia & New Zealand
Using IESVE for Room Loads Analysis - Australia & New Zealand
 

These Are The Data You Are Looking For

  • 1. These -ARE- the data you are looking for Karen Lopez, InfoAdvisors Josh Buckner, Embarcadero Technologies Leveraging Metadata and Data Models for Business Agility
  • 2. Abstract: Business users and analysts are often trying to solve a very specific data- related problem, and when researching it, may wonder why certain items don’t correlate. Maybe you need to reconcile old data and new data, and eliminate erroneous entries. How do you find what the various terms mean and where the relevant data resides? Business stakeholders need visibility to the organization’s models and metadata, but at the right level of detail for their use. Join this session to learn about business data access challenges, including: • What issues exist with current methods • What information business users really need • How to find that information Karen Lopez will share tips and insights on working through the data challenges for business analysts and Josh Buckner will suggest a solution to address those concerns. 2 AD-322-S
  • 3. Karen López www.datamodel.com Karen has 20+ years of data and information architecture experience on large, multi-project programs. She is a frequent speaker on data modeling, data-driven methodologies and pattern data models. She wants you to love your data.
  • 4. Josh Buckner Josh is the Team Server Solutions Expert for Embarcadero Technologies. He helps our customers understand the benefits of ER/Studio Team Server and works with them to implement it effectively within their organizations.
  • 5. A Little About InfoAdvisors… #TeamData Data Management Project Management Business Analysis Training Analysts Services Consulting www.datamodel.com
  • 6. POLL: Who Are You? Aug 2014
  • 7. Agenda 2015 Year of Data Data Stories Metadata, Data Models & Agility Calls to Action! AD-322-S
  • 8. 2015 – Year of Data: the Vision Big Data Data Analytics Business Analytics Self Service BI External Data Data Science
  • 9. What’s New…ish New Technologies • Databases/Datastores • Cloud • Storage • Scalability Techniques • Machine Learning • Cognitive Computing • Semantic Technologies • Data Science & Analytics
  • 10. Why should business users care about New? All these build on a data foundation
  • 11. Data Rules and Specifications Artifacts Data Models XML documents JSON documents Databases Application Code Data Warehouses Data Lakes People Data Modelers XML Architects Testers Developers DBAs Data Scientists Operational Business users
  • 12. How we THINK data works Data Applications
  • 13. What could go wrong?
  • 14. What could go wrong? Applications Applications Applications Applications Applications Applications Applications
  • 15. What could go wrong? Data architecture complexity is not dependent on company size. It is dependent upon business processes.
  • 16. What contributes to complexity? Underfunded IT efforts Application-driven architecture development Compliance and regulations Accidental architects Architectural development without business involvement AD-322-S
  • 18. Data Models Are Wonderful
  • 19. But we have lots of them… AD-322-S
  • 20. Retail Data Stories Item / SKU / GTIN /EAN / Serialized Item Customer versus Client versus Guest versus Player versus Recipient versus Driver versus …..
  • 21. Healthcare Data Stories “Coding Error Renders Bad Universal Healthcare Info for 800,000 Taxpayers” A glitch in HealthCare.gov gave the wrong year’s data. • Lack of clarity on whether to tax a year in advance or in arrears. • Nearly $184 million cost to taxpayers. • Additional financial and political cost related to rework and re-filing. • No clear model or alert available for developers during build.
  • 23. Takeaways…. We purchase vendor solutions and move data around Vendors have varying data formats and rules “Single Version of the Truth” is not feasible We have to manage and govern these differences AD-322-S
  • 24. To deliver the value locked in our data, we need to know where it is, how it is used and what it means Organizations need a service that ties all these data sources, formats, rule and metadata together Data Models get us close, but aren’t enough to fill this need Takeaways….
  • 25. Metadata needs its own application to manage data, support search and queries IT tools aren’t appropriate ways to access this data A shared resource is better than separate resources Takeaways….
  • 26. Calls to action! 1. Ensure data artifacts are accessible 2. Provide searchable access to data artifacts 3. Support engagement with business and IT models 4. Provide linkages between business and IT models
  • 27. Calls to action! 5. Ensure artifacts are “live” and up to date 6. Model, don’t document 7. Share ownership, stewardship and governance 8. Discover new value in existing data
  • 28. Thank You You were GREAT ….We should do this again….
  • 31. EMBARCADERO TECHNOLOGIES Coordinated & Collaborative Communication 31
  • 32. EMBARCADERO TECHNOLOGIES Learn More About ER/Studio ! • Trial Downloads: http://www.embarcadero.com/downloads • ER/Studio Team Server Hosted Trial (Sandbox): http://www.embarcadero.com/products/er-studio/team-server-hosted-trial • To arrange a demo, please contact Embarcadero Sales: sales@embarcadero.com, 1 (888) 233-2224 • http://www.embarcadero.com/data-modeling