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DAMA NYC

An Organization For Information Management Professionals 

The Data Administration Management Association of New York, DAMA-NYC, explores the role of information management in today's competitive global market place. DAMA-NYC events bring together the best and the brightest to present and discuss the new strategies which are changing the way business is done in the information age.

DAMA-NYC is the organization for business executives with information needs, for information managers who must be aware of emerging management techniques, and for information management professionals who wish to acquire the latest skills.

 


 

Next Meeting

DAMA Day 2021 Virtual Zoom event
"Making Data an Enterprise Asset, " Lets Take data Beyond the Lake and the Cloud"
May 20, 2021
8:45 AM - 3:45 PM
Virtual Zoom Event

$0.00 Member Ticket

$49.00 Non-member Ticket (Incl. One Year Membership)

 

DAMA Day – May 20, 2021

Virtual Zoom event sponsored by DAMA NYC

 

Making Data An Enterprise Asset

" Lets take data beyond the Lake and the Cloud"

 

When looking at the evolution of data management, no matter how hard we try, we must agree we have fallen short from meeting our goal of making data an enterprise asset. Even with our data warehouses, business glossaries, data governance and data quality programs, we have just begun to scratch the surface. These initiative are only the tools necessary to begin to look for the information needed to solve today's business problems. In most cases, these problems haven’t even been identified yet. We must do much more preparation to begin to turn data into "Information Nuggets of Gold". Data must be made available to the data scientist so we can employ “Self Service” to discover how data can be turned into information. To facilitate this, the following building blocks must be in-place; data literacy, data governance oversite, data science, data analytics and finally a service delivery programs. When these things are in place, then and only then can we begin to potentially look at data as an enterprise asset.

This DAMA Day theme will facilitate the discussion necessary to identify today's data challenges and then to point the compass in the right direction "Due North". Only then can we hope to begin to make data an enterprise assets that can be leveraged across the data landscape. This event will explore different alternatives that might be used so that we can realize our goals.

Come join us and learn why data is falling short as an enterprise asset and what can be accomplished to make it get beyong the data lake and the Cloud Technology so it can become valuable information.

 

DAMA Day 2021 - Speakers & Program

 

First San Francisco Partners - Kelle O’Neal

"Measuring Data as an Enterprise Asset" 

Event Abstract:

Data has become the lifeblood of our digital economy. To extract its full value, data must be managed, governed, understood and measured. Yet Gartner’s fourth annual Chief Data Officer (CDO) survey revealed only eight percent of CDOs measured the financial value of their data and analytics programs – and it’s not because they didn’t want to.  

The shift toward digital business is being fueled by data-driven organizations that use a broad spectrum of information management and analytical capabilities to inform decision-making. From data science, machine learning, data literacy, data governance and everything in between – there’s an overarching need for a thoughtful strategy and effective framework for quantifying the value and meaning of an organization’s data assets. 

When measuring the value of data and information, the key question to answer is what is the data worth to the enterprise? This keynote session will provide vetted tips and best practices for developing: 

  • An adaptive framework to start measuring the value of data (which includes identifying what information needs to be valued and why, and determining a valuation philosophy/approach) 
  • Progress and impact metrics to understand what is meaningful to the business and measuring momentum in a meaningful way across People, Process, Technology Support and Data 
  • An effective communication approach for translating data value into business value 

 

Kelle O’Neal Bio 

 Kelle O’Neal is Founder and CEO of First San Francisco Partners, an enterprise information management and business advisory consulting firm. A veteran leader and accomplished advisor in the information management sector, as well as a speaker, author, and trainer, Kelle is passionate about helping organizations apply data intelligence to gain a true competitive advantage.

Kelle’s strong background in customer relationship management, enterprise software, and systems integration uniquely positions her to excel in helping organizations of all sizes and complexities successfully execute on Data Governance, Organizational Change Management, Master Data Management, Data Insights and Analytics, and other EIM initiatives. Kelle developed her ability to work through organizational complexity, build consensus, and drive results in senior roles at companies that include U.S.-based firms GoldenGate Software, Siebel Systems, and Oracle. She also worked at the executive level in Europe and Asia. Under her leadership of First San Francisco Partners, the firm’s client list has grown significantly over the years, as has its consulting and support teams – and FSFP celebrated its 10th anniversary in 2017.

Kelle’s thought leadership and training has been featured on CIO.com, Data Informed, B-Eye Network, Data Management Body of Knowledge, and DATAVERSITY. She received her MBA from the University of Chicago Booth School of Business, and she holds a B.A. degree from Duke University.

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Erwin by Quest - Sam Benedict

"Data Management: It’s All About Execution"

Event Abstract:

This session explores the data dilemma faced by most organizations. We’ll examine the root causes and how data management and compliance programs are impacted, despite advancements in technologies and tooling. For example, data documentation, lineage and impact analysis continue to cause struggles,so we’ll look at barriers to success in maturing data management and how data intelligence solutions can help us automate these simple and mundane tasks, as well as ensure we scale and sustain our data capabilities to meet new challenges. 

Sam Benedict, VP – Solution Strategy  Bio

Sam Benedict serves as Vice President - Solution Strategy at erwin by Quest.  He is responsible for helping our clients and partners understand the value of erwin’s EDGE Platform, aligning their needs with the many features and functions to solve problems and create sustainable data governance programs. Before joining erwin,Sam was the Global VP of Sales and Marketing at Analytix Data Services (ADS) where he managed their global customer base, marketing strategy and partner relationships. With more than 25 years in technology, Sam is a strategic planner around enterprise data management, data governance and system development lifecycle improvement. Sam has worked in the telecommunications, healthcare, and manufacturing industries, globally, and understands the challenges faced by IT resources, as well as business stakeholders in the information management space. Sam holds an MBA/Technology Management degree and has been a speaker at Data Governance and Technology conferences worldwide. Outside the office he enjoys building custom cars and motorcycles, college football, and spending time with his wife and two grown sons. 

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Denodo Inessa Gerber                

                            Building a Data Management Platform for the Future

Event Abstract:

It is no secret that our data landscape has continuously evolved and will never be the same. As businesses are getting transformed to embrace digital channels as their primary medium of customer and supply-chain interactions, the vast landscape of heterogeneous data sources, data management architectures, and evolving new technologies make it challenging for data architects and analysts to harvest value from their data.  While businesses grasp the reality and the need of generating value from our data assets, we still continue to spend valuable resources on data itself.  Why is that?  Why is it so hard to break the cycle of being data-centric and become business-centric? 

Join us to learn how to:

* Architect a responsive and flexible Data Management platform for the future.

* Embrace the emerging concepts of Data Mesh

* Enable the Self-Service data discovery and Data Literacy

 

 

Denodo Speaker Bio              

Inessa Gerber is part of Denodo’s Product Management Team and works closely with customers and prospects to understand their projects and requirements. With over 18 years of experience in the Data Integration, Data Quality, and Master Data Management space, she is able to visualize an enterprise-level solution spanning different initiatives and often different products. Data Management and solution architecture was always her passion, leading her to drive product innovations.

 

 

 

 

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BIGID - Anju Jain

"The 3 Spheres of Data Trust - Governance, Privacy and Security"

Event Abstract:
The data landscape is changing. Data Governance is changing and evolving as well. New challenges have emerged in the COVID era.  As more and more people work from home and new regulations come to life, organizations are faced with 3 things they need to focus on: Data Privacy, Data Security and Data Governance. These 3 spheres influence each other and require greater collaboration among teams. Data Governance needs to be aware of and adjust to new regulations. For example, Virginia's privacy regulations (CDPA) in 2021. Data Governance cannot be accomplished by manual means and requires more automation and infusion of machine learning. An automated metadata collection engine or a manual workflow for business is no longer adequate. Data Stewards require more insights and need to optimize their time by providing validation rather than curation. BigID Data Intelligence Platform applies automation and Machine Learning for deeper insights, scalable data stewardship, and data governance with privacy and security to maximize the value of data assets.
 
Join this session to learn how to:
  • Enable data governance, privacy and security together to increase trust in data
  • Apply automation and machine learning to scale data governance with privacy and security 
  • Maximize efficiency of your data stewards for broader and more accurate data governance

 

Anju Jain  Bio 

Anju is a Sr. Director of Product Management at BigID. She is responsible for shaping the product roadmap and leading product strategy for data governance functionality. She is responsible for working with clients, understanding their needs and challenges; and delivering the product.

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Collibra  - Stijn "Stan" Christiaens

" Best practices for turning data into value: stories from the field"

Event Abstract:

As the amount of data continues to grow, data leaders at organizations need to ask, is their data a liability or an asset? Is data accumulating in ways that create unnecessary cost and risk? Is the organization equipped to turn data into value through data-driven decision making?

During this session, hear from Stijn "Stan" Christiaens, Collibra’s cofounder and Chief Data Citizen, as he shares how organizations have used Data Intelligence initiatives to create meaningful business value from their data. Stan will share examples from multiple Collibra customers who have used Collibra Data Intelligence Cloud to support transformation initiatives across a range of industries and use cases.

Join to learn:

  • Why data represents so much promise to organizations
  • How data leaders should approach the data intelligence journey
  • How organizations have successfully completed that journey with Collibra

 

Stijn "Stan" Christiaens Bio

Stijn Christiaens is a cofounder of Collibra. Previously, he was a senior researcher at the Free University of Brussels specializing in application-oriented semantics. Stijn earned two master’s degrees in information technology and artificial intelligence in 2003 and 2004 respectively from Catholic University of Leuven. He’s a noted speaker at industry conferences throughout Europe on the topics of data governance and semantics. Stijn has also received several patents for his inventions in the field of ontology engineering.

 

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GlobalIDs - Arka Muklerjee

                                    “Data-Centric Exponential Growth”

Event Abstract: 

The world fastest growing organizations derive their competitive advantage by using digital data-centric products. These DDC products are designed to be faster, better and cheaper than competing products. Furthermore, they are designed to be scalable across a global marketplace. Over time, these products can outpace competition to such an extent that the winner can dominate the market segment by itself.

In this presentation we will discuss how Digital Data-Centric Products can be systematically designed to drive exponential growth. 

 

 

Arka Muklerjerr Bio

Arka Mukherjee is a technology entrepreneur. He is the Founder of Global IDs and has served as its CEO for over 20 years. Under his leadership, the company has created innovative software solutions for Data Ecosystems Management. The software is used to organize complex data environments in order to identify opportunities for cost savings, revenue generation and regulatory compliance.

     

 

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                                    DAMA Day Virtual Program Agenda for May 20, 2021

 

MORNING

  08:45 am                  Welcome from Denis Kosar, DAMA-NY President

 

  09:00 – 10:00 am   Kelle O’Neal, First San Francisco Partners, “Measuring Data as an Enterprise Asset”

 

 10:00 – 11:00 am    Stijn "Stan" Christiaens, Collibra, “Best practices for turning data into value: stories from the field”

 

 11:00 - 12:00 am     Sam Benedict, Erwin by Quest,“ Data Management: It's all about Execution. “

 

 AFTERNOON

12:00 – 12:30 p.m.    Virtual Break

 

12:30 – 01:30 pm    Anju Jain, BIGID, “The 3 Spheres of Data Trust - Governance, Privacy and Security”

 

01:30 – 02:30 pm   Dr. Arka Mukherjee, Global IDs, “Data-Centric Exponential Growth” 

 

02:30  - 03:30 pm   Inessa Gerber, Denodo,  “Building a Data Management Platform for the Future"

 

03:30  - 03:45 pm   Closing Remarks – Denis Kosar

 

 

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