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  <div class="vevent h-event"> <h1 class="summary p-name">Information Quality Scoring (IQ Scoring), Plus Round Robin Databases - DAMA Portland</h1> <div class='date'><time class="dtstart dt-start" title="2016-02-18T08:30:00" datetime="2016-02-18T08:30:00">Thursday, February 18, 2016 from 8:30</time>–<time class="dtend dt-end" title="2016-02-18T11:30:00" datetime="2016-02-18T11:30:00">11:30am</time></div> <div class="location vcard p-location h-card"> <a class="url" href='http://calagator.org/venues/202391337'><span class='fn org p-name'>Standard Insurance Center Auditorium</span></a> <div class="adr p-adr h-adr"> <div class="street-address p-street-address">900 SW 5th Avenue</div> <span class="locality p-locality">Portland</span> , <span class="region p-region">Oregon</span> <span class="postal-code p-postal-code">97204</span> <div class="country-name p-country-name">United States</div> (<a href='https://maps.google.com/maps?q=900%20SW%205th%20Avenue,%20Portland%20Oregon%2097204%20United%20States'>map</a>) </div> </div> <div class="description p-description"> <p>There is now a second bonus data presentation at this month's Data Management chapter meeting. First, Information Quality (IQ scoring) followed by an Introduction to storing time-series data in Round Robin Databases. Join us for now <b>two</b> presentations designed to make you more productive in your data career.</p> <p>For more information and to register, visit damapdx.org</p> <h2> Session 1 - Information Quality Scoring </h2> <p>IQScoring is an assessment methodology CQN is using across the company to help communicate the IQ state of key enterprise datasets and applications. It produces a simple metric that is easy to communicate to business stakeholders and management in a consistent way, encouraging IQ conversations where frequently overlooked or excluded. This technique can be a valuable tool in the hands of Data Scientists, Analysts, and Business Decision-Makers.</p> <h3>About the Speaker</h3> <p>Rodney Schackmann joined Intel in 1993, with time in IT and business groups, he joined CQN in 2010 where he is currently a Sr. Staff Information Architect.</p> <p>He is a frequent presenter at Information / Data Quality and Data Governance related conferences. His history includes software development, management, consulting, mentoring, and strategic technical leadership.</p> <p>His time at Intel has primarily been focused on Key Information efforts — driving cross-organizational teams to better solutions with higher Information Quality results. Rodney currently runs the enterprise-wide Information Quality program for CQN.</p> <h2> Session 2 - An Introduction to Round Robin Databases</h2> <p>As technology professionals, we see a increasing applications for telemetry, systems monitoring, and real-time trend analysis. In some situations, unbounded storage of collected measurements may be impractical or unnecessary. Round Robin Databases are designed to store and maintain multiple time-series archives at varying resolutions. They employ methods that allow the storage of months or even years of data.</p> <p>We will explore one such tool, RRDtool, a project started at the Center for Applied Internet Data Analysis. At first, this open source tool helped with collecting and reporting on internet traffic. Since that time, it has inspired many other uses and tools. Our goal is to explore the retention decisions, downsampling of data consistent with it's business value, and how this approach is good for solving a specific class of problems.</p> <h3>About the Speaker</h3> <p>Chris Irvine is currently a Technology Consultant and founder at Threeprong.com, specializing in custom workgroup solutions, B2B integration, and performance tuning. He is a computer science graduate of Portland State University with professional experience in software development, system administration, and IT management.</p> <p>Chris takes pleasure in applying technology to help solve problems for a variety of businesses and non-profits. Recent projects meet the needs of small business, workgroups in large enterprise, and also for government, in many segments and varied platforms.</p> <h2>Schedule</h2> <ul> <li>8:30 - 9:00 am - Sign In </li> <li>9:00 - 10:15 am - Presentation </li> <li>10:15 - 10:30 am - Break, Chapter Announcements</li> <li>10:30 - 11:30 am - Presentation continued</li> </ul> <p>Our chapter meetings have a nominal cost to cover refreshments and speaker expenses.</p> <ul> <li>Free for Members!</li> <li>$15 for Non-Members</li> <li>$5 for Students with valid student ID</li> <li>View the list of corporate members at damapdx.org</li> </ul> <p>The Portland Metro Chapter of the Data Administration Management Association has been serving the Portland data community since 1984. We are a not-for-profit, vendor independent, professional association dedicated to advancing the concepts and practices of enterprise information and data resource management.</p> <p>Our primary purpose is to promote the understanding, development and practice of managing data, information and knowledge resources as key enterprise assets.</p> <p>DAMA-Portland Metro members and attendees enjoy the opportunity to hear industry leading professionals present on relevant topics and the most current technologies and methodologies of the day.</p> <p>Prior presentations and speakers for this year (2016):</p> <ul> <li> January: "Framing Business Problems as Data Mining Problems" with Asoka Diggs (Intel) </li> </ul> <p>Upcoming Presentation & Speakers for 2016:</p> <ul> <li>February: "Information Quality (IQ Scoring)" with Rodney Schackmann (Intel) at The Standard </li> <li>March: "Advanced Data Visualization" with Michael Scofield (Loma Linda University) at The Standard </li> <li>April: "The Vital Role Data Managers in E –Discovery and Information Governance" with Mike Hamilton & Nancy Patton (Exterro) at Cambia/Regence </li> <li>May: "Agile Development and Data Management" with Michele Goetz (Forrester Research) at The Standard </li> </ul> </div> <h3>Links</h3> <ul> <li><a class="url u-url" href="http://damapdx.org">Website</a></li> </ul> </div>