All Videos Tagged Management” (Data Science Central) - Data Science Central 2019-07-22T11:54:10Z https://www.datasciencecentral.com/video/video/listTagged?tag=Management%E2%80%9D&rss=yes&xn_auth=no DSC Webinar Series: The State of Data Preparation in 2019 tag:www.datasciencecentral.com,2019-06-25:6448529:Video:846235 2019-06-25T21:30:56.229Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-the-state-of-data-preparation-in-2019-1"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/3109900816?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Over the past few years, data preparation has emerged as a stand-alone category within data management and analytics. A technology category that originated out of joint research across UC Berkeley and Stanford, it is now recognized as a critical technology by end users, organizations and industry analysts alike. Data preparation has evolved… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-the-state-of-data-preparation-in-2019-1"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/3109900816?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Over the past few years, data preparation has emerged as a stand-alone category within data management and analytics. A technology category that originated out of joint research across UC Berkeley and Stanford, it is now recognized as a critical technology by end users, organizations and industry analysts alike. Data preparation has evolved tremendously since the category first emerged in 2015. So what’s new? How far have we come? Where are we headed in the future?<br /> <br /> Join this latest Data Science Central webinar with Dresner Advisory Service’s Chief Research Officer, Howard Dresner, for an overview of the data preparation market. In the session, Howard reviews findings from his 2019 “Wisdom of the Crowds Market Study” on data preparation, compiled from end user responses.<br /> <br /> This webinar will cover the following topics:<br /> <br /> How data preparation is being utilized within organizations – what users &amp; departments utilize data prep?<br /> What are the most critical features of data preparation technologies?<br /> Differences between traditional ETL technologies and this new generation of data preparation tools.<br /> <br /> Speakers:<br /> Howard Dresner, Chief Research Officer Analyst - Dresner Advisory Services<br /> Will Davis, Senior Director of Product Marketing - Trifacta<br /> <br /> Hosted by:<br /> Rafael Knuth, Contributing Editor - Data Science Central DSC Webinar Series: Creating Business Applications With R & Python tag:www.datasciencecentral.com,2019-02-18:6448529:Video:803383 2019-02-18T22:50:07.055Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-creating-business-applications-with-r-python"><br /> <img alt="Thumbnail" height="0" src="https://storage.ning.com/topology/rest/1.0/file/get/1136748148?profile=original&amp;width=0&amp;height=0" width="0"></img><br /> </a> <br></br>Across industries, data scientists are creating powerful models and analytics to solve urgent business problems. However, in far too many cases, these analytics never reach their intended business users. The result is wasted time and effort, as well as a failure to achieve the fundamental goal of transforming data and analytics into… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-creating-business-applications-with-r-python"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/1136748148?profile=original&amp;width=0&amp;height=0" width="0" height="0" alt="Thumbnail" /><br /> </a><br />Across industries, data scientists are creating powerful models and analytics to solve urgent business problems. However, in far too many cases, these analytics never reach their intended business users. The result is wasted time and effort, as well as a failure to achieve the fundamental goal of transforming data and analytics into solutions.<br /> <br /> Please join this latest Data Science Central webinar to see how data science teams can stop this trend and start putting analytics into action. With FICO® Xpress Insight, it's easy to take any advanced analytic asset (such as an R or Python script) and turn it into a fully functioning application for business users. We'll demonstrate some key features, including:<br /> <br /> An environment that fosters collaboration between data scientists and business users during model creation<br /> A robust interface for rapidly deploying validated models into business user-friendly applications<br /> Enablement tools for business users to run models, perform simulations, compare scenarios and visualize outcomes<br /> Data scientists can finally stop seeing their efforts go to waste and start empowering business users with the predictive and prescriptive analytics capable of transforming businesses–join us to learn more!<br /> <br /> Speakers:<br /> Bill Doyle, VP of Decision Management Solutions - FICO<br /> Libin Varghese, Principal Sales Consultant, Decision Management Solutions - FICO<br /> <br /> Hosted by:<br /> Bill Vorhies, Editorial Director - Data Science Central DSC Webinar Series: Top 4 Excel Functions Done Better with Data Wrangling tag:www.datasciencecentral.com,2018-05-21:6448529:Video:723526 2018-05-21T23:30:59.217Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-top-4-excel-functions-done-better-with-data"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/2781537455?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Analysts have relied on Excel for decades, but as the size, variety, and pace of data accelerates, certain Excel functionality has begun to feel archaic. Today's data wrangling platforms offer analysts new approaches to preparing data that alleviate Excel bottlenecks.<br></br> <br></br> In this latest Data Science Central webinar, we will… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-top-4-excel-functions-done-better-with-data"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781537455?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Analysts have relied on Excel for decades, but as the size, variety, and pace of data accelerates, certain Excel functionality has begun to feel archaic. Today's data wrangling platforms offer analysts new approaches to preparing data that alleviate Excel bottlenecks.<br /> <br /> In this latest Data Science Central webinar, we will demonstrate how to leverage data wrangling techniques to execute common Excel functions more effectively, including:<br /> <br /> A side-by-side comparison of Excel vs. data wrangling platform<br /> Examples of real-world applications for data wrangling techniques<br /> Key functionality of a modern data wrangling platform<br /> Speakers:<br /> David McNamara, Customer Service Executive -- Trifacta<br /> Tanya Cashorali, Founding Partner -- TCB Analytics<br /> <br /> Hosted by:<br /> Bill Vorhies, Editorial Director -- Data Science Central