Join DAMA-RMC
for
Text Analytics Simplified
and
Data Engineering Techniques
When: Friday, February 3rd from 3:00pm-5:30pm
Location: Thrive Workplace - Centennial
Address: 9200 E Mineral Ave, Centennial, CO 80112
Ticket Prices:
- Professional Members*
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- In-Person & Virtual - Always Complimentary & Free!
- Guest Members*
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- First In-Person Event $0, In-Person $20, Virtual $10
- Non-Members**
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- In-Person $25, Virtual $15
*Professional & Guest Members must log-in for membership pricing!
**Tickets for Non-Members are limited for this event.
Early Bird pricing (Guest Member $15, Non-Member $20) through 1/19/23.
Topics:
Join DAMA-RMC for two presentations to strengthen your analytic toolsets. Scot Reagin will present some useful and practical "Data Engineering Techniques" to prepare data for analysis and share how those techniques can be used to improve the quality of analytics/data science. Followed by featured presenter, Bill Inmon, who will show us step-by-step how to do text analytics simply, quickly, and inexpensively with with textual ETL and "Text Analytics Simplified".
Text Analytics Simplified with Bill Inmon
- Everyone has text. But no one uses text very much in decision making, at least not like they use structured data. And that’s a shame, because there is a tremendous amount of information wrapped in the form of text. In the past, when people have tried to do text analytics the results have been gruesome. Typically, text analytics turns into an expensive, never ending academic exercise run by high priced consultants that never seem to arrive at the point of delivering business value The well educated and expensive consultants rarely achieve the great business value that you were hoping for. But it doesn’t have to be this way.
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TEXT ANALYTICS SIMPLIFIED shows you step by step how to do text analytics simply, quickly, and inexpensively. With textual ETL you can go from raw text to a data base to an analytical visualization in the text in a few hours. And anyone can do it! Get your FREE copy of the newly written book published by Bill and friends: https://www.forestrimtech.com/e-book/.
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BIO: Bill Inmon Best known as the “Father of Data Warehousing”, Bill Inmon has become the most prolific and well-known author worldwide in the big data analysis, data warehousing, and business intelligence arena. In addition to authoring more than 60 books and 1,000s of articles, Bill has been a monthly columnist with the Business Intelligence Network, EIM Institute, and Data Management Review. Bill was named by Computerworld as one of the “Ten IT People Who Mattered in the Last 40 Years” of the computer profession. Bill founded ForestRim Technology Forest Rim Technology, a company that applies and implements data warehousing solutions executed through textual disambiguation and TextualETL.
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https://en.wikipedia.org/wiki/Bill_Inmon
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http://www.linkedin.com/in/billinmon
Data Engineering Techniques with Scot Reagin
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Our Data’s all good, really. Nothing to see here.
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Accessing large amounts of raw data shifts the burden of Data Engineering to the Analyst which is not necessarily a key skill. But, some easy to employ techniques of cleansing, filtering, relating and modeling raw data can significantly improve the quality and validity of analytic results.
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Historically data reporting and analysis have been dependent upon formal, complex, and often too slow to respond data warehousing solutions. While these solutions remain core capabilities of Data Management (hopefully, less the too slow part) contemporary Data Analysts and Data Scientists require access to more data – raw data – bypassing Data Management processes. This is a good thing, but there’s a gap.
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Data is messy; it’s incomplete, inconsistent and sometimes inaccurate but that doesn’t mean it’s not unusable. With some simple techniques it’s possible to improve the quality of your data and the analysis that data support. And you don’t have to be a Data Engineer to do it.
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BIO: Scot Reagin’s technology career spans the entire history of what we now think of as Business Intelligence. Starting with software he developed for mini-computers in the early 1980’s to the first Cube technologies of the 1990’s and Self-Service BI and contemporary Predictive Analytics Scot has designed and implemented data solutions for a wide variety of organizations. In addition to Consulting Scot has created and delivered public and private courseware on many Business Intelligence topics and his ability to tie and clarify the technical aspects of a solution to business value have made him a popular speaker at business and technical conferences.
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Event followed by a “Pint of Data” Happy Hour at
9627 E County Line Rd, Centennial, CO 80112
Thrive Workspace has free parking and is in close proximity to the Denver Tech Center, the I-25/E-470 interchange and a short walk from the RTD Dry Creek Station.
A special THANK YOU to long-time DAMA-RMC member, Marc Beacom, for donating the Thrive Workspace room for our event!
Event table/booth and other sponsorship opportunities available. See Sponsor Benefits for more information. Contact PartnershipsVP@damarmc.org to book your space at a future events.
