Q3-2020 Virtual Membership Meeting

Thursday, August 20, 2020
8:30 AM – Virtual Meeting

This event will consist of three sessions with details and speak bios outlined below. 

Nishtha Chouhan
Senior Product Marketing Manager, Denodo Technologies

Session #1: Logical Architectures for Next Generation Analytics (45 Minutes) 

The current data landscape has moved beyond the EDW era. Bigger data volumes, new requirements (AI, ML), and new paradigms like data lakes, cloud, IoT and other built-for-purpose data systems, have fragmented the previously consolidated world of analytics.

Logical architectures, in opposition to physically replicated ones, are now the best alternative to provide unified analysis over a consolidated view of all your data. Data virtualization enables logical architectures without compromises, as it:

  • Integrates data from heterogeneous data sources without the need to replicate
  • Provides self-service big data access to business users
  • Centralizes data security and governance
  • Integrates and delivers actionable insights in real-time


Nishtha Chouhan is the Senior Product Marketing Manager at Denodo Technologies. She is responsible for leading Denodo’s NA customer marketing, sales enablement and different aspects of product marketing efforts. Nishtha brings in a wide range of industry knowledge in data management and analytics space with global leadership experience in engineering and marketing roles. Nishtha holds an MBA from University of California, Irvine, and is a strong advocate of youth mentoring and development programs.

Session #2: Decision Modeling: The Key To Delivering Value From Your Data

Dave Cherry
Principal, Cherry Advisory, LLC

Decision modeling is a technique that helps you uncover the critical insights that increase decision-maker confidence for the most important business actions. In doing so, it identifies and prioritizes the data, information, and sources needed to inform these insights. After those data elements are known, one can then create an optimized virtualized architecture and deploy differentiated levels of data governance to source data. And when those key decisions or priorities change, this approach will help you re-prioritize and efficiently update your virtualized environment easily and with purpose.


Dave Cherry, principal of Cherry Advisory, LLC, is a thought leader, executive strategist and speaker. He helps clients in the customer experience industry (that’s everyone with customers) define a customer experience strategy, enabled by innovation and measured/informed by analytics that drives deep relationships and connections with customers.

He is a member of the International Institute of Analytics Expert Panel, serves on three Advisory Boards (Women in Analytics, CbusRetail, and Mive), and is the Co-Producer of the Digital Solutions Gallery at the Ohio State University. 

Dave has worked with and for leading organizations such as LBrands, Polo Ralph Lauren, Easton Town Center, Ascena Retail Group, Journeys, DSW, Disney, Alliance Data, Nationwide Insurance, AEP, Huntington Bank, Cardinal Health, OhioHealth, Deloitte Consulting and Price Waterhouse. He holds a BS in Economics from The Wharton School at the University of Pennsylvania.

Session #3: Driving business value with a modern data platform

Jim Kilgore

Practice Director, Advanced Analytics, g2o 

Technology has forced many businesses to rethink their delivery models. Startups emerged, leveraging the internet and mobile technology to better meet customer needs (like Amazon and Lyft), disrupting entire categories of business, and grew to dominate their categories.  Traditional companies are still struggling to meet rising customer expectations. Modern data platforms enable businesses to address these new customer expectations. But these platforms are the first step. Learn what else you need to drive value from your investment in a data platform.


Jim specializes in analytic projects for clients seeking to become more customer centric. He has spent the last 30 years developing customer strategies, analytic teams and data-driven solutions to drive business value with data. He has helped a wide range of clients in financial services, retail and healthcare to find growth in understanding the customer experience, improving marketing effectiveness and develop actionable insights from their data.

Please visit Meetup.com to RSVP: 

Q3 Virtual Membership Meeting

Thursday, Aug 20, 2020, 8:30 AM

Online event

6 Professionals Attending

This event will consist of three sessions and a Q&A. Session details are outlined below. For speaker bios, please visit https://buckeyedama.wordpress.com/ Session #1: Logical Architectures for Next Generation Analytics (45 Minutes) Nishtha Chouhan Senior Product Marketing Manager Denodo Technologies The current data landscape has moved beyond the…

Check out this Meetup →


Q1-2020 Analytics Inside: Big Data update and Practical Machine Learning

Thursday, February 20, 2020
8:00 AM to 11:30 AM
Expedient Presentation Hall – 5000 Arlington Centre Blvd, Upper Arlington, OH

08:00-08:30 – Set-up & networking
08:30-09:00 – Sponsor Presentation: TBD
09:00-10:00 – Topic: Big Data update and Practical Machine Learning.
10:00-10:15 – Break & meet the sponsor
10:15-11:15 – Speaker, cont.
11:15-11:30 – Wrap up & gift card giveaways (we have a hard stop at 11:30 this meeting)

About our Speakers
Michael Covert, founder and CEO of Analytics Inside
Victoria Loewengart, COO of Analytics Inside

About our Sponsor… TBD

Let us know if you plan on attending: https://www.meetup.com/Buckeye-DAMA-Chapter/events/268199091

Q4 Meeting with Presenter: Sherry Kish/SmartCity & Sponsor: Snowflake

Thursday, November 14, 2019
8:00 AM
 to 12:00 PM
Expedient Presentation Hall – 5000 Arlington Centre Blvd, Upper Arlington, OH

Draft Agenda:
8:00-8:30 – Set-up & networking
8:30-9:00 – Sponsor Presentation: Snowflake Data Warehouse
9:00 -9:15 – Chapter Business
9:15-10:30 – Speaker: Sherry Kish will present the Smart City Data Management Plan and their Data Privacy Plan.
10:30-10:45 – Break & meet the sponsor
10:45 – 11:30 – Speaker, cont.
11:30-12:00 – Wrap up & gift card giveaways

About our Sponsor

Snowflake is the only data warehouse built for the cloud, enabling the data-driven enterprise with instant elasticity, secure data sharing and per-second pricing across multiple clouds. Snowflake combines the power of data warehousing, the flexibility of big data platforms and the elasticity of the cloud at a fraction of the cost of traditional solutions. Snowflake: Your data, no limits. Find out more at snowflake.com.

About our Speaker

Stay tuned…

Save the Date – Q3 Meeting with Presenter: AWH & Sponsor: Titus

Thursday, August 8, 2019
8:00 AM
 to 12:00 PM

Expedient Presentation Hall – 5000 Arlington Centre Blvd, Upper Arlington, OH

Draft Agenda:

8:00-8:30 – Set-up & networking
8:30-9:00 – Sponsor Presentation: Titus
9:00 -9:15 – Chapter Business
9:15-10:30 – Speaker part 1: AWH
10:30-10:45 – Break & meet the sponsor
10:45 – 11:30 – Speaker part 2: AWH
11:30-12:00 – Wrap up & gift card giveaways

About our Sponsor: Titus

Titus is a leader in providing solutions that enable businesses to accelerate their adoption of data protection. The company’s products enable organizations to discover, classify, protect, analyze and share information. With an open, intelligent policy manager, Titus customers are also able to address regulatory compliance initiatives and get more out of their existing security investments.

About our Presenter: AWH

AWH is a digital product consulting, user experience, and software development firm. We collaborate with clients to drive desired business outcomes through great digital products.


SAVE THE DATE! Buckeye DAMA Q1 2019 Quarterly Meeting with David Loshin 2/14/19

Thursday, February 14, 2019
8:00 AM
 to 12:00 PM
Expedient Presentation Hall
5000 Arlington Centre Boulevard · Upper Arlington, OH

David will be giving two presentations:

Talk #1: Data Governance and Trends in Protecting Sensitive Data

A number of newsworthy trends are highlighting the growing recognition of risks of exposing individuals’ personal and private information. The numbers and sizes of data breaches are exploding along with emerging indignance over corporations using and selling what is believed to be personal or private information have motivated the creation of a growing inventory of global regulations address the need to secure and protect individuals’ personal and private data. In this talk we will discuss data sensitivity, concepts of information risk, along with trends and ideas for instituting data governance techniques to improve overall data protection while reducing the constraints presumed to be imposed by data policies.

Talk #2: Data Catalogs for Data Curation

“Curation” is the process of assembling, organizing, and managing a collection of objects. By extension, data asset curation is the process of assembling, organizing, and managing a collection of data assets. We should adjust this definition, however, to account for context and purpose within a community of data consumers, since data assets that are not shared (or positioned to be shared) would not be subjected to data curation. Therefore, a better definition (or description) of data asset curation would be the process of assembling, organizing, and managing a collection of data assets for the purpose of expanding data accessibility and sharing among a community of data consumers. In this talk, we will explore ideas and methods that help achieve the objectives of data asset curation and how data catalogs can support the process of data curation.


Buckeye DAMA-Q4 2018 Meeting Nov 8th: Data Science: You Aren’t Gonna Need It.

Thursday, November 8, 2018
8:00 AM
 to 12:00 PM

Expedient Presentation Hall
5000 Arlington Centre Boulevard · Upper Arlington, OH



Data Science: You Aren’t Gonna Need It.

Data science is the newest buzzword floating around, but what does it look like in practice? How do you build and scale a successful data science team? Do you really need data science? In this talk, we will give an overview of what a data science group does and will demonstrate what a day in the life of a data scientist looks like, accompanied with interactive examples. We will also address common questions around how, when, and why to start a data science team, and how to develop a successful data science strategy for your organization.

About the Speaker:
Chris Wetherill is the Lead Data Scientist at State Auto Insurance Companies where his team builds and deploys machine learning models and the applications and tooling to deliver their predictions to business applications. Previously, he worked at SafeAuto Insurance, first as a Data Scientist and then as a Lead R&D Scientist. There, his teams were responsible for pricing modelling and for creating and supporting the company’s first self-service business intelligence portal. His background is in computational biology, having pursued a PhD in bioinformatics at Virginia Tech.



Important to know
This meeting is included with your Buckeye DAMA membership dues.
Non-members may attend for $30, payable at the presentation hall or via PayPal at BuckeyeDama.org (https://buckeyedama.wordpress.com/events/attend-a-buckeyedama-event/).

Membership action needed!

The Buckeye DAMA Board Of Directors is pleased to present a draft version of our revised Chapter By-Laws.  These By-Laws are posted for comment by the Chapter membership until November 4, 2018.
Following this review period, and with consideration of membership comments, the Board will make final revisions.   The Board will then adopt the final version of the By-Laws.
All comments should be sent by email to president@buckeyedama.org no later than midnight, November 4, 2018.

Quarterly meeting August 9, 2018 – Panel – Building a Data Organization

Expedient Presentation Hall
5000 Arlington Centre Boulevard, Upper Arlington, OH

Cultivating Data Professionals In Your Organization:
This will be a panel presentation describing how CoverMyMeds built their data organization – discussion topics will include women in healthcare IT, unique ways to find data people, and mentorship.

CoverMyMeds panel members:
Ty Sonagere – Manager, Data Governance, Quality & Advocacy
Jen Seale – Director of Analytics, Pharma
Liz Moore – Director, PACT
Katie Schrader – Sr. Manager Enterprise Intelligence
Kim Reidinger – Data Quality Analyst
Deb Bitzan – Data Solutions Lead

We also have important chapter business to discuss with the membership.

Important to know:
This meeting is included with your Buckeye DAMA membership dues.
Non-members may attend for $30, payable at the presentation hall or via PayPal at BuckeyeDama.org (https://buckeyedama.wordpress.com/events/attend-a-buckeyedama-event/).

Quarterly meeting May 10, 2018 – Michael Scofield : Good Data, Bad Info: What went wrong?

Expedient Presentation Hall
5000 Arlington Centre Boulevard, Upper Arlington, OH

Good Data, Bad Info: What went wrong?

Producing decision-able information from lots of raw data often requires complex processes which must be carefully designed and architected. This presentation looks at the gap between raw data and information which helps decision-making. Most of the industry chatter about data quality focuses upon raw, granular data describing discrete events and entities inside the enterprise and around it. However, a single fact (or “cell”) of data without context is not very meaningful. Hence, we assemble many facts, aggregate them, calculate ratios and trends, often in the context of a data warehouse. It is information (data assembled and placed in proper context) which is more meaningful to the decision-maker. We will look at numerous examples between raw data and derived data (“information”) which show us trends, patterns, etc. Examples come from astronomy, military intelligence, and criminology. For example, in image analysis (in the intelligence community) we see a succession of “derived” data (sometimes facts, occasionally assumptions) as we move from pixels to clues about a country’s strategic intent. As an enterprise is inundated with more data (raw, intermediate, and advanced information) the designing and population of good metadata becomes even more important. We will look at nine distinct kinds of metadata. Not all kinds are of equal importance, but we will show the purpose and value of each. The larger the organization, and the more diverse the “institutional memory”, the more important it is to properly document the data asset for broader exploitation of its value. Ignorance of institutional memory can be disastrous. We will also look at how incorrect conclusions may be drawn because of mis-handling of the process to derive “higher level” information from the raw data.

Michael Scofield, M.B.A. is an Assistant Clinical Professor at Loma Linda University. He is a frequent speaker and author in topics of data management, data quality, data visualization, and data warehousing. He has spoken in over 27 states, Canada, Australia, and the U.K.Audiences have included 24 DAMA chapters, 5 TDWI chapters, 14 ASQ chapters (American Society for Quality), and many accounting professional organizations. He also guest lectures at several universities. His career experience includes government, manufacturing, finance, and software development. Now semi-retired, he still does pro bono data mining and data quality analysis for non-profit organizations. His greatest interest currently is data visualization, data quality assessment, and using graphic techniques to reveal business and economic behavior. Another emerging interest is data management for the “internet of things”. He also has humor published in the Los Angeles Times, and other journals.

Important to know
This meeting is included with your Buckeye DAMA membership dues.
Non-members may attend for $30, payable at the presentation hall or via PayPal at BuckeyeDama.org (https://buckeyedama.wordpress.com/events/attend-a-buckeyedama-event/).

Buckeye DAMA-Q1 2018 Meeting March 8 – Dave Kuhnau, “The Machines Are Coming!”

Expedient Presentation Hall
5000 Arlington Centre Boulevard
Upper Arlington, OH

The Machines Are Coming: With the continued proliferation of the internet of things, machine learning and artificial intelligence are beginning to become common place in our daily routines. We are surrounded by new technologies and platforms that are generate huge amounts of data that can be leveraged to learn, react and create new rules or insights into improved performance. We will explore the scope of artificial intelligence in our daily lives during the first part of the presentation and then demonstrate how we can leverage the Alexa platform/technology to solve real life business cases. Shannon Lowder will demonstrate a “thinking out of the box” use cases where the Alexa platform can be used to solve a business problem. This will showcase a behind the scenes look of the Alexa platform and it’s capabilities.

Dave Kuhnau – Senior Enterprise Account Manager at DMI:
As a professional services leader with over 20+ years in the software, technology and the data domain expertise, Dave has worked with a wide variety of clients in most industries. Dave’s focus on data early in his career gave him a foundation of dedicated expertise in for advanced uses in data analytics, warehousing, dashboarding, integration and other advanced analytical needs. Currently Dave is a Senior Enterprise Account Manager for DMI where he strategizes and delivers to his clients a pathway to success in the digital transformation domain. This includes everything from the digital mobile devices to custom applications, from advanced analytics with data to machine learning and the AI platforms. In his free time he enjoys extreme adventure racing, running and time spent with his family.

Shannon Lowder – Managing Consultant, Data Analytics at DMI:
For over 15 years Shannon Lowder has been spotting patterns and learning ways to work smarter instead of harder. He started with development and moved into database administration. Using T-SQL, Database Jobs and PowerShell, he automated himself out of contracts quickly. As Business Intelligence became a greater demand, he moved into SSIS, SSRS, and SSAS development. Early on, he tried using PowerShell and .Net to automate BI Development. Later those efforts turned to Biml (Business intelligence markup language). After founding a startup six years ago, he finds himself a data platform consultant, designing and guiding other professionals to build highly automated enterprise solutions. Today, he is the 9th Biml Hero to be recognized by Varigence for his work in data warehouse automation. In his free time he’s involved with the Boy Scouts of America, stained glass and stone masonry projects around the house.


• Important to know
This meeting is included with your Buckeye DAMA membership dues.
Non-members may attend for $30, payable at the presentation hall or via PayPal at BuckeyeDama.org.