As data professionals, we constantly seek new approaches and techniques for defining, structuring, and accessing data. New tools have come along to facilitate the implementation of our strategies. Technology companies are offering products to provide critical solutions to today’s business challenges. Products provide capabilities to organizations that facilitate improved data governance, data privacy management, information security, data catalogs, machine learning, artificial intelligence, robotic process automation, data virtualization, in addition to the familiar data quality, master data management, and reference data management. Specialty products take a bottom-up approach to defining business terms, providing relationships, and building Data Catalogs. We all have experienced the need for multiple technologies to meet our business requirements. It’s impossible to find one tool to meet all of our requirements, it’s also common to find products that overlap in their capabilities.
******************************************************************************************************
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
Speaker 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.
*********************************************************************************************
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.
- Understanding what data exists (Data Cataloging)
- Understanding how data flows across the data ecosystem (Data Lineage)
- 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.
***************************************************************************************************
DataCamp Sponsor Speaker
Adel Nehme
From Data Science to Data Fluency: Reimagining data skills in 2020.
Abstract
Data Science has fundamentally changed how we make decisions, build products, and evaluate a project’s success. Yet despite the explosion of data collected in recent years, many organizations from financial institutions, health care firms to management consultancies, and governments are simply not equipped to learn from their data in an efficient and effective manner, and to build the data skills needed to extract value from their data. This talk aims realigning data skills to go beyond what is commonly known as data science - and proposes a vision of organization-wide data fluency that drives a sustainable digital transformation for 2020 and beyond.
Speaker Bio
Adel is a data science educator, speaker and evangelist at DataCamp where he has released various courses and live trainings on data analysis, machine learning and data engineering. He is passionate about spreading data skills and data literacy throughout organizations and the intersection of technology and society. He has an MSc in Data Science and Business Analytics. In his free time, you can find him hanging out with his cat Louis.
DAMA Day Virtual Program Agenda for October 29, 2020
MORNING
09:00 a.m. Welcome from Denis Kosar, DAMA-NY President
09:15 a.m. John Ladley, Sonrai Solutions, “Be Careful what you ask for” (60 min)
10:20 a.m. Adel Nehme, DataCamp, “ From Data Science to Data Fluency: Reimagining data skills in 2020” (60 min)
11:25 a.m. Dr. Arka Mukherjee, Global IDs, “A Pragmatic Approach to Enterprise-wide Data Lineage” (60 min)
AFTERNOON
12:30 p.m. Break – PMP Announcement - Beth Ouellette, The Ouellette Group.
01:00 p.m. Peter Aiken, Data Blueprint, “Achieving Data Acumen: Improving Workforce Data Literacy (and therefore performance!)” (60 min)
02:05 p.m. Mitesh Shah, Denodo, “Innovative data management strategies & skills in a Hybrid Cloud world” (60 min)
03:10 p.m. Danny Sandwell, Erwin, “ The Age of Data Intelligence: An Educated Data Consumer is Your Best Customer” (60 min)
04:15 p.m. Closing Remarks – Denis Kosar
|
10-2020
