ОТНОСТНО ТОЗИ ЕПИЗОД
<p>In this “Use Case Study” Chris covers analysis and interpretation techniques around analyzing data from field staff, interpreting that data so it is actionable, and using the data for benchmarks and reporting. All of this as a method toward the goal of identifying what is working well (you can do more of that) and what isn’t (so you can do less).</p><p>This episode focuses on common field staff recapping metrics such as attendance, hours of activation, and number of consumers sampled. Data interpretation techniques are discussed and direction given to agency managers on using data to identify best practices and challenges.</p><p><strong>Links of Interest</strong></p><ul><li><a href="https://portma.com/browse-reports/" target="_blank">PortMA’s Library of Industry Benchmarks Reports</a> </li><li><a href="https://portma.com/browse-reports/all-available-benchmarks/" target="_blank">The Benchmarks PortMA Focuses on</a> </li><li><a href="https://portma.com/browse-reports/agency-resources/" target="_blank">Improving your Agency’s In-house data practices</a> </li></ul><p><br></p>
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ТЪРСЕНЕ на МИНАЛИ ЕПИЗОДИ
Търсене в минали епизоди на Demystifying Data.
ДРУГИ ЕПИЗОДИ В ТОЗИ ПОДКАСТ
<p>Chris Clegg continues his podcast series about affective benchmarks by looking at how a well-organized archive of historical experiential marketing performance should be used to develop actionable key performance indicators (KPIs). </p><p>There are three points at …
<p>Quantitative data is the main discussion of this episode. “Quantitative data is the hard numbers on pre-defined variables that we can use to apply statistical techniques to understand significant variables within groupings.” </p><p>So how do we collect this data?&l…
<p>This episode was recorded live from the Consumer Electronics Show (CES) in Las Vegas and is Part 1 of a 2-part series of Chris’s discussion with David Paull. </p><p>In this episode of Demystifying Data Chris talks with David about the interesting take-awa…
<p>In this podcast, Chris breaks down the logistics of data collection. Clear, robust, meaningful data is achievable by remembering a few key things. </p><ul><li>One initial question must be asked: “What kind of data do you want to collect”? Discovery or validat…
<p>This episode was recorded live from the Consumer Electronics Show (CES) in Las Vegas. Prior to each CES (for the last 10 years) the conference producers put on a research conference. </p><p>This episode of Demystifying Data is a review of the key…
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