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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 Oct 29, 2020 event
"Realigning your data skills to fit 2020 challenges"
October 29, 2020
8:00 AM - 5:00 PM
American International Group
175 Water Street 18th floor
New York, NY 10038

$199.00 Member Ticket
$99.00 Earlybird rate before September 25

$249.00 Non-Member Ticket
$149.00 Earlybird rate before September 25

 

DAMA Day October 29th 2020

"Realigning your data skills to fit 2020 challenges"

 

As data professionals we constantly see new approaches, and techniques that define, structure and access data. Then new tools come along to facilitate these ideas. As an example, we have centralized data governance tools like Collibra, Informatica and Erwin that provide a centralized data governance organizations. They then provide tasks to support functions such as data quality, reference data management, stewardship, and data catalogs. We then find specialty products like Alation that take a bottom up approach that define business terms and provide relationships, as well as build and maintain Data Catalogs. We sometimes have an overlap in products and can require more than one tool to do our jobs.

We as data professionals are forced to learn new approaches some are centralized and then some are decentralized. Join us at DAMA Day 2020 and learn about these new concepts, techniques and approaches as well as the best way to embrace them and be productive when using them.

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Speakers for DAMA Day 2020

 

John Ladley

Be careful what you ask for……

There is good news and bad news. Good news is that is that using data more effectively is in the daily communications of most organizations. “We need to do better with our data,“ and “We need to be more data driven” are common phrases. We have many “points of light” now of data project success.  The bad news is we aren’t ready to go to the next level.  This data stuff can be hard. Leadership can’t tell you what it should look like. Alignment is poor. Data scientists are stumped as to why their data is not up to the task.  Companies get stuck in one or two attempts at data management and governance then back away.   Lastly, even if our leaders were fully data literate, data people aren’t ready.  We have our buy-in, but we are missing some skills and mindsets. John will cover these challenges and lay out some common scenarios to address what needs to be done so data leaders can prepare their own organizations.  

Speaker Bio

John Ladley is an experienced advisor and advocate for organizations looking for sustainable value from information and data.   His experience and knowledge is balanced between treating data as an essential component of modern business and economies, and the practical solution of business problems.

John’s books are the authoritative sources for Data and Information Management and Data Governance. He is a recognized authority and speaker on enterprise information management; including data monetization, information and data architectures, data governance, MDM, data quality, BI and Analytics, data warehouse and knowledge management. John has extensive experience across many industries and is currently examining the role of the Chief Data Officer and assisting several organizations with data strategies and data governance.

 

Peter Aiken

Achieving Data Acumen:  Improving Workforce Data Literacy (and therefore performance!)

More than half of work is accomplished by knowledge workers–usually defined as those who must “think for a living” [Davenport, 2005].  I contend that all knowledge workers work with data.  Since most learn about data individually (if at all), the opportunity to gain from communal or best practices learning has not been present.  Most refer to this as a lack of data literacy.  Whether applied at the individual or organizational level, literacy is a binary concept and our data needs are more varied.  Data proficiency and data acumen are more descriptive/useful terms and these should also be used to describe today's organizational data knowledge requirements.  This program will describe five specific data knowledge requirement levels and objective behaviors that must be demonstrated by those operating at each level.  Lack of this data knowledge has so far hindered society from fully realizing our collective potential benefits.  More importantly, organizations adopting these data knowledge requirements can directly and immediately improve organizational knowledge worker productivity.  Delegates will:

  • Learn why the term data literacy is insufficient to describe the challenge and how the progression from literacy ➜proficiency ➜acumen is more operationally viable 
  • Understand five data knowledge requirements levels in terms of their data leverage type, data skills type, ethical perspective and behavioral focus
  • Be able to match data knowledge requirements levels with types of organizational requirements
  • Begin to estimate the dollar ranges of potential knowledge worker productivity improvements in their organizations

 

Peter Aiken Bio

Peter Aiken, an acknowledged Data Management (DM) authority, is an Associate Professor at Virginia Commonwealth University, past President DAMA International, and Associate Director of the MIT International Society of Chief Data Officers.  For more than 35 years, Peter has learned from working with hundreds of data management practices in 30 countries including some of the world's most important.  Among his 10 books are the first on CDOs (the case for data leadership), the first describing the monetization data for profit/good, and the first on modern strategic data thinking.  International recognition has resulted in an intensive schedule of events worldwide.  Peter also hosts the longest running DM webinar series (hosted by dataversity.net).  In 1999 (before Google, before data was big, and before data science), he founded Data Blueprint, a consulting firm that has helped more than 150 organizations leverage data for profit, improvement, competitive advantage and operational efficiencies.

 

Sponsor Speakers

Erwin Sponsor Speaker

Danny Sandwell

The Age of Data Intelligence: An Educated Data Consumer is Your Best Customer

The data consumers in your enterprise are coming up in the world.  The intersection of three technological advances –  1) exploding data production, 2) scalable big data computation, and 3) the accessibility of advanced analytics, machine learning and artificial intelligence – have established a fertile environment for data innovation and as such, we’ve seen the rise of the “citizen analyst” bringing business acumen and subject-matter expertise closer to discovering strategic and tactical data-driven insights. Add the aspiration of self-service data intelligence and you might wonder if data management professionals might end up side-lined or subjugated in the process.   Nothing could be further from the truth.  Your skills, acumen and pedigree in keeping the data engines running and driving data value are more important than ever as the business puts bigger bets on data.  This session will outline who the data citizen analyst is, what data intelligence means and how they impact data management professionals, the roles they play and opportunity it represents.

Speaker Bio

Danny Sandwell is an IT industry veteran with more than 30 years of experience. As Director of Product Marketing for erwin, he is responsible for the development and articulation of the company’s data modeling and data intelligence capabilities and value proposition. During Danny’s 17 years with the company, he also has worked in pre-sales consulting, business development and business strategy roles – all giving him opportunities to engage with customers across various industries as they plan, develop and manage their data-driven initiatives. His goal is to help enterprises unlock the value of their data assets to produce the desired results while mitigating data-related risks.

 

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Denodo Sponsor Speaker

Mitesh Shah

Innovative data management strategies & skills in a Hybrid Cloud world

The current data landscape is fragmented, not just in location but also in terms of shape and processing paradigms. Cloud has become a key component of the modern architecture design. Data lakes, IoT, NoSQL, SaaS, etc.  coexist with relational databases to fuel the needs of modern analytics, ML and AI. Exploring and understanding the data available within your organization, dealing with bureaucracy, different languages and protocols, can be complex and overwhelming.

Join this session to get an insightful understanding of 

  • How competition and the speed of change requires a new approach to data architecture – one that is real-time, agile and provides speed to value.
  • Learn how right solutions and skills can enable companies to transition and integrate data in the cloud to deliver faster time to insights.

Speaker Bio


Mitesh Shah is a Senior Cloud Product Manager at Denodo. He has broad experience around various facets of software development in a big data and cloud ecosystem. Among his peers, he is known for his ability to analyze complex issues with an analytical mindset, incubate and streamline innovative solutions, and promote a consensus-driven work environment that contributes to on-time and on-budget delivery.  Throughout his career, Mitesh has enjoyed a focus on helping clients address their data driven and solution architecture needs.

 

GlobalIDs Sponsor Speaker

 

Dr. Arka Mukherjee

 

Title: A Pragmatic Approach to Enterprise-wide Data Lineage

In order to solve significant business problems in large organizations a comprehensive understanding of the data ecosystem is required. This understanding can come in 3 steps.

  1. Understanding what data exists (Data Cataloging)
  2. Understanding how data flows across the data ecosystem (Data Lineage)
  3. Understanding the quality of the data (DQ-ML)

 

In this presentation, we will outline the second step --- How to automatically compute data lineage at scale? A five-step methodology will be described.

 

Speaker Bio

Dr. Arka Mukherjee, the founder and CEO of Global IDs Inc. is an expert in global data management, with extensive experience in creating new technologies to assist businesses in the U.S. and around the world. Under his leadership, Global IDs has developed Master Data Management and Data Governance products and solutions for a myriad of Fortune 2000 companies across multiple vertical industries. Prior to Global IDs, as the principal of IBM Global Services, he was the practice leader in business intelligence services and was responsible for building and growing this e-business practice. He received a Ph.D. in Computational Chemistry from Princeton University.

 

Impetus Sponsor Speaker

Chetan Kalanki

 

TBD

Speaker Bio

TBD

 

 

DataCamp Sponsor Speaker

 

Dr. Hugo Bowne-Anderson

 

5 Things Every Business Leader Needs to Know About Data Strategy

Dr. Hugo Bowne-Anderson, data scientist and educator at DataCamp, will discuss 5 key aspects of data strategy and how to leverage the masses of data currently available to your business to gain a competitive advantage and build defensible moats. He’ll draw from conversations with industry leaders on the DataFramed podcast and his work in data strategy consulting. You’ll learn all about the common pitfalls in data strategy, such as the essential components of a data strategy; how data can ruin your strategy and the failure modes of data strategy; how to leverage data and computation to do their best work while enabling your employees to do theirs; and how to get seamlessly from data strategy to data execution. Grounded in real-world examples from finance, healthcare, tech, and other industries, Dr. Bowne-Anderson breaks up the buzz of the data strategy world and lets you know where data can provide value and where it can’t. When the data bubble bursts, what will remain and how can you utilize it? 

 

Speaker Bio

Dr. Hugo Bowne-Anderson is a data scientist and educator at DataCamp. He has worked in applied math research in cell biology at Yale University and the Max Planck Institute for Cell Biology and Genetics, after receiving his PhD in Pure Mathematics at the University of New South Wales. He joined DataCamp four years ago to build out their foundational data science curriculum in Python, and his main interests now are promoting data and AI literacy and fluency, and helping to spread data skills throughout organizations.