All Videos Tagged Governance (Data Science Central) - Data Science Central 2019-08-24T08:51:47Z https://www.datasciencecentral.com/video/video/listTagged?tag=Governance&rss=yes&xn_auth=no DSC Webinar Series: Democratizing Data and Predictive Analytics While Ensuring Governance & Transparency tag:www.datasciencecentral.com,2015-10-07:6448529:Video:333178 2015-10-07T19:35:05.158Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/democratizing-data-and-predictive-analytics"><br /> <img alt="Thumbnail" height="180" src="https://storage.ning.com/topology/rest/1.0/file/get/2781531194?profile=original&amp;width=240&amp;height=180" width="240"></img><br /> </a> <br></br>As organizations empower more users to fully leverage advanced and predictive analytics to “democratize” their data and bring insights to the masses through interactive visual dashboards, they also need to provide enhanced data transparency, collaboration, and governance to gain broader acceptance and trust of the data.<br></br> <br></br> In our latest DSC webinar… <a href="https://www.datasciencecentral.com/video/democratizing-data-and-predictive-analytics"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781531194?profile=original&amp;width=240&amp;height=180" width="240" height="180" alt="Thumbnail" /><br /> </a><br />As organizations empower more users to fully leverage advanced and predictive analytics to “democratize” their data and bring insights to the masses through interactive visual dashboards, they also need to provide enhanced data transparency, collaboration, and governance to gain broader acceptance and trust of the data.<br /> <br /> In our latest DSC webinar we will focus our discussion on how the combination of governed self-service data preparation, advanced analytics and data visualization can help organizations:<br /> <br /> Make informed decisions faster by empowering data architects and non-technical business analysts to visually communicate data flows and business logic.<br /> Improve transparency by removing the "Black Box" and provide actionable, accurate insights that all parties involved can trust.<br /> Ensure governance and data quality through self-service data provisioning and embedded business rules and data sourcing.<br /> Enable anyone to quickly visualize and securely share analysis through cloud-based dashboards.<br /> Speaker:<br /> Dan Donovan, Technical Evangelist, Lavastorm Analytics<br /> Paul Lilford, Director - Technology Partners, Tableau Software<br /> <br /> Hosted by:<br /> Bill Vorhies, Editorial Director -- Data Science Central DSC Webinar Series: 5 Things Your Organization Needs to Succeed in Data Science tag:www.datasciencecentral.com,2015-09-15:6448529:Video:323642 2015-09-15T22:08:24.853Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/5-things-your-organization-needs-to-succeed-in-data-science"><br /> <img alt="Thumbnail" height="180" src="https://storage.ning.com/topology/rest/1.0/file/get/2781530815?profile=original&amp;width=240&amp;height=180" width="240"></img><br /> </a> <br></br>What does it take to succeed in the world of Data Science and Analytics? It takes the right culture, people, process and governance, the ability to operationalize analytics, and special weapons and tactics.<br></br> <br></br> Join John Thuma in this latest DSC Webinar as he discusses his strategy to conquer the 5 challenges to succeed in data… <a href="https://www.datasciencecentral.com/video/5-things-your-organization-needs-to-succeed-in-data-science"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781530815?profile=original&amp;width=240&amp;height=180" width="240" height="180" alt="Thumbnail" /><br /> </a><br />What does it take to succeed in the world of Data Science and Analytics? It takes the right culture, people, process and governance, the ability to operationalize analytics, and special weapons and tactics.<br /> <br /> Join John Thuma in this latest DSC Webinar as he discusses his strategy to conquer the 5 challenges to succeed in data science.<br /> <br /> Culture: Is your organization a dinosaur looking at the pretty light in the sky, unknowing of what is to come? In today’s world, you are either an innovator or slowing fading away. Learn how organizations must embrace data science to survive and flourish as the market leader.<br /> People: Do you have the right people for advanced analytics? Of course it takes statistics, programming and hard work. But it takes much more! Do you have the following traits in your team to succeed in advanced analytics? Learn the traits for success: The Pioneer, The Cattle Herder, The Muscle, and the Story Teller.<br /> Process and Governance: It takes process and governance to succeed in data science and analytics. John will share his 10 step decision making process for advanced analytics.<br /> Get Operational: If you can’t change the business process and the people acting in it with analytics then you have successfully built a science project, a bunch of technology no one uses. Not good. Start with a business problem, solve business problem, and embed analytics into the process and script out what people are going to do with it.<br /> Special Weapons and Tactics: John will share his secrets weapon to remove technology barriers and succeed in data science. Come to the webinar and find out.<br /> <br /> Speaker: John Thuma, Director, Aster Strategy and Analytics<br /> Hosted by: Bill Vorhies, Editorial Director, Data Science Central DSC Webinar Series: Data Transformation and Acquisition Techniques, to Handle Petabytes of Data tag:www.datasciencecentral.com,2014-11-11:6448529:Video:222794 2014-11-11T22:11:00.569Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-data-transformation-and-acquisition-techniques"><br /> <img alt="Thumbnail" height="180" src="https://storage.ning.com/topology/rest/1.0/file/get/2781527374?profile=original&amp;width=240&amp;height=180" width="240"></img><br /> </a> <br></br>Many organizations have become aware of the importance of big data technologies, such as Apache Hadoop but are struggling to determine the right architecture to integrate it with their existing analytics and data processing infrastructure. As companies are implementing Hadoop, they need to learn new skills and languages, which can impact… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-data-transformation-and-acquisition-techniques"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/2781527374?profile=original&amp;width=240&amp;height=180" width="240" height="180" alt="Thumbnail" /><br /> </a><br />Many organizations have become aware of the importance of big data technologies, such as Apache Hadoop but are struggling to determine the right architecture to integrate it with their existing analytics and data processing infrastructure. As companies are implementing Hadoop, they need to learn new skills and languages, which can impact developer productivity. Often times they resort to hand-coded solutions which can be brittle, impact the productivity of the developer and the efficiency of the Hadoop cluster.<br /> <br /> To truly tap into the business benefits of the big data solutions, it’s necessary to ensure that the business and IT have simple tools-based methods to get data in, change and transform it, and keep it continuously updated with their data warehouse.<br /> <br /> In this webinar you’ll learn how the Oracle and Hortonworks solution can:<br /> <br /> Accelerate developer productivity<br /> Optimize data transformation workloads for on Hadoop<br /> Lower cost of data storage and processing<br /> Minimize risks in deployment of big data projects<br /> Provide proven industrial scale tooling for data integration projects<br /> We will also discuss how technologies from both Oracle and Hortonworks can deploy the big data reservoir or data lake, an efficient cost-effective way to handle petabyte-scale data staging, transformations, and aged data requirements while reclaiming compute power and storage from your existing data warehouse.<br /> <br /> Speakers:<br /> Jeff Pollock, Vice President, Oracle<br /> Tim Hall, Vice President, Hortonworks<br /> <br /> Hosted by:<br /> Tim Matteson, Co-Founder, Data Science Central