All Videos Tagged BI (Data Science Central) - Data Science Central 2020-01-19T00:07:44Z https://www.datasciencecentral.com/video/video/listTagged?tag=BI&rss=yes&xn_auth=no DSC Webinar Series: 4 Ways to Tackle Common Data Prep Issues tag:www.datasciencecentral.com,2018-09-25:6448529:Video:763220 2018-09-25T21:15:12.271Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-4-ways-to-tackle-common-data-prep-issues"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/2781532499?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Anyone who's ever analyzed data knows the pain of digging in only to find that it is poorly structured, full of inaccuracies, or just plain incomplete. But "dirty data" isn't just a pain point for analysts; it can have a major financial and cultural impact on an organization.<br></br> <br></br> In this latest Data Science Central webinar, you will… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-4-ways-to-tackle-common-data-prep-issues"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781532499?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Anyone who's ever analyzed data knows the pain of digging in only to find that it is poorly structured, full of inaccuracies, or just plain incomplete. But "dirty data" isn't just a pain point for analysts; it can have a major financial and cultural impact on an organization.<br /> <br /> In this latest Data Science Central webinar, you will learn four actionable ways to overcome common data preparation issues, including how to establish a company standard for "clean data" and how to democratize data prep across your organization.<br /> <br /> Speakers:<br /> Louis Archer, London Manager -- Tableau<br /> Marina Lindl, Sales Consultant -- Tableau <br /> <br /> Hosted by:<br /> Bill Vorhies, Editorial Director -- Data Science Central First Person Shooter Business Intelligence Demo (FPS-BI) tag:www.datasciencecentral.com,2017-02-21:6448529:Video:528636 2017-02-21T18:56:09.427Z Doug Ross https://www.datasciencecentral.com/profile/DougRoss <a href="https://www.datasciencecentral.com/video/first-person-shooter-business-intelligence-demo-fps-bi"><br /> <img alt="Thumbnail" height="180" src="https://storage.ning.com/topology/rest/1.0/file/get/2781537019?profile=original&amp;width=240&amp;height=180" width="240"></img><br /> </a> <br></br>I've always been a fan of data visualization. It's easier for most folks to glean insights from pictures rather than columns of text.<br></br> <br></br> I was recently looking at some 3D scatter plots generated by the powerful R programming language. The illustrations are wonderful, but they appeared to be trapped in a static, two-dimensional… <a href="https://www.datasciencecentral.com/video/first-person-shooter-business-intelligence-demo-fps-bi"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781537019?profile=original&amp;width=240&amp;height=180" width="240" height="180" alt="Thumbnail" /><br /> </a><br />I've always been a fan of data visualization. It's easier for most folks to glean insights from pictures rather than columns of text.<br /> <br /> I was recently looking at some 3D scatter plots generated by the powerful R programming language. The illustrations are wonderful, but they appeared to be trapped in a static, two-dimensional representation.<br /> <br /> I had the thought: what if users could maneuver through 3D scatter plots as if they were playing a "First-Person-Shooter" (FPS) game? Like games such as Duke Nukem or Doom? The DNA of a Data Science Rock Star tag:www.datasciencecentral.com,2016-11-29:6448529:Video:493302 2016-11-29T23:25:11.903Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/the-dna-of-a-data-science-rock-star"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/2781530340?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Data Scientists are tasked with transforming their organizations with data. Yet many are struggling to realize their true Rock Star potential, and organizations are missing out on what these Rock Stars could do with the right environment.<br></br> <br></br> Join us for this latest Data Science Central Webinar and learn what skills, tools, and behaviors are emerging as the… <a href="https://www.datasciencecentral.com/video/the-dna-of-a-data-science-rock-star"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781530340?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Data Scientists are tasked with transforming their organizations with data. Yet many are struggling to realize their true Rock Star potential, and organizations are missing out on what these Rock Stars could do with the right environment.<br /> <br /> Join us for this latest Data Science Central Webinar and learn what skills, tools, and behaviors are emerging as the DNA of the Rock Star Data Scientist. We will explore best practices for Big Data Analytics through Open Source technologies (i.e. Apache Spark, R, R Studio, Python, Jupyter), techniques including machine learning and behaviors around collaboration, sharing and learning.<br /> <br /> Speakers:<br /> Carlo Appugliese, Hadoop &amp; Spark Evangelist -- IBM Analytics<br /> Greg Filla, Associate Offering Manager, Data Science Experience -- IBM Analytics<br /> <br /> Hosted by:<br /> Bill Vorhies, Editorial Director -- Data Science Central 4 Steps to improve your Search Technology and Boost Sales, BI and User Experience tag:www.datasciencecentral.com,2016-07-21:6448529:Video:450384 2016-07-21T12:01:47.711Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/4-steps-to-improve-your-search-technology-and-boost-sales-bi-and-"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/2781530938?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Visitors who search within e-commerce sites are two to three times more likely to convert compared to those who don't. Improving search relevancy and user experience can significantly boost your bottom line. Frequently, users will search for a product, don’t find it, and leave because of poor search technology/algorithms. This webinar… <a href="https://www.datasciencecentral.com/video/4-steps-to-improve-your-search-technology-and-boost-sales-bi-and-"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781530938?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Visitors who search within e-commerce sites are two to three times more likely to convert compared to those who don't. Improving search relevancy and user experience can significantly boost your bottom line. Frequently, users will search for a product, don’t find it, and leave because of poor search technology/algorithms. This webinar addresses these issues.<br /> <br /> In this latest Data Science Central Webinar event, you will learn from CrowdFlower and its customers --Adobe and Etsy-- four techniques to improve your search relevance practices, business outcomes and user experience.<br /> <br /> Measurement: To update your site’s internal search functionality, it’s vital that you know exactly what metrics your company should optimize. Learn how you should sample queries for measurement.<br /> Incorporating Human-Labeled Data: Labeled Data-Metrics such as click data are valuable, but on their own they don't tell the complete story. Human-curated training data can contribute valuable additional information. CrowdFlower, Adobe and Etsy will share how they use a human-in-the-loop approach to grade results, whether it involves images, descriptions, or an entire page of results.<br /> Improve your search filtering UI: CrowdFlower, Adobe and Etsy will share how they examined their individual result pages to help build out additional categories and tags to improve customer search experiences.<br /> Ranking features: A key use of human-curated training data is ranking features. Adobe will discuss how they use a human-in-the-loop approach to verify their deep learning image tagger based upon contributor photographers.<br /> Learn how these leading companies design their site search interfaces, surface their results, and constantly refine them to enhance your own site’s search relevance to improve customer experience.<br /> <br /> Speakers:<br /> Lukas Biewald, CEO and Co-Founder -- CrowdFlower<br /> Jaime DeLanghe, Product Manager -- Etsy<br /> Andy Edmonds, Search Science Architect -- Adobe<br /> <br /> Hosted by:<br /> Bill Vorhies, Editorial Director -- Data Science Central DSC Webinar Series: Faster Predictive Insight with Data Blending tag:www.datasciencecentral.com,2015-07-08:6448529:Video:298236 2015-07-08T22:21:15.601Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-faster-predictive-insight-with-data-blending"><br /> <img alt="Thumbnail" height="180" src="https://storage.ning.com/topology/rest/1.0/file/get/2781527439?profile=original&amp;width=240&amp;height=180" width="240"></img><br /> </a> <br></br>Predictive analytics is only as good as the data you are working with. This can be a challenge in today’s line of business where relying on multiple sources of data to deliver the insight has become the standard. Utilizing data blending eliminates these struggles and gets you to the data set you need faster.<br></br> <br></br> If this next… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-faster-predictive-insight-with-data-blending"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781527439?profile=original&amp;width=240&amp;height=180" width="240" height="180" alt="Thumbnail" /><br /> </a><br />Predictive analytics is only as good as the data you are working with. This can be a challenge in today’s line of business where relying on multiple sources of data to deliver the insight has become the standard. Utilizing data blending eliminates these struggles and gets you to the data set you need faster.<br /> <br /> If this next instatllment of the DSC Webinar Series you will learn how to:<br /> <br /> Access the right types and systems of data<br /> Prepare, cleanse, and join multiple datasets<br /> Implement predictive analytics in a flexible environment<br /> Deliver a repeatable process for future analysis<br /> Panalists:<br /> Ramnath Vaidyanath, Data Scientist -- Alteryx<br /> Matt Madden, Director -- Alteryx<br /> <br /> Hosted by:<br /> Bill Vorhies, Senior Contributing Editor -- Data Science Central