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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

 

Details

Presentation:
Data Science: You Aren’t Gonna Need It.

Abstract:
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.

20130422-H5596-DBH

 

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

Abstract:
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:
Moderator:
Ty Sonagere – Manager, Data Governance, Quality & Advocacy
Panelists:
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!”

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

Abstract:
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.

Thanks for a great Q4 presentation and a great 2017!

Thanks to Mark Plessinger, the INKU staff, and everyone who attended the Q4 Buckeye DAMA meeting!

We had a very interactive meeting and hopefully everyone left with a better understanding of the foundations of data governance or some inspiration to take some actions back at their place of work.  For reference, you can find the presentation slides on the Previous Presentations page (under the Events menu above).

We’re working on getting great presentations for 2018 – watch this site for updates!

Buckeye DAMA Q4 Meeting – December 7th.

Data Governance Foundations – Revisited
Data Governance has come to mean many things based on why it exists, what it is charged to accomplish, who initiatives and drives the effort, and where the data governance resources reside. This session will revisit the foundational components of data governance, the activities of a data governance organization, and the integration of data governance into the processes of your company. This perspective has been built over the last ten years spent with clients in the trenches of data governance and data management. The goal of this session is to generate awareness on data governance and provide some insights on how you can make data management and data governance more effective at your company.

Mark Plessinger: is the founder of INKU, a data governance and data management consulting firm based in Columbus, Ohio. He has over 20 years of experience in business and IT with the last 10 years focused on data governance and data management. Mark founded INKU because he knows that data governance can be a profit center for an organization and should be responsible for ensuring that data becomes a strategic asset for the company while reducing risk. His expertise includes defining and implementing new governance practices as well as revitalizing governance organizations that have stagnated or failed previously.

Julie Evans: is a consultant at INKU. She has over 20 years of experience in the financial industry transforming organizations utilizing expertise in creating vision, strategic planning, operational efficiencies and merger transitions. She has success in leading Fraud, Customer Experience, Lending, Product Implementation, Operations and Budget organizations. Julie believes understanding your information is key to success in
business. That belief drove her to focus on data governance, assisting organizations in successfully developing and implementing data strategies.

8:30 – 11:30 AM
Expedient Presentation Hall
5000 Arlington Centre Boulevard, Upper Arlington, OH