All Videos Tagged Data Prep”, (Data Science Central) - Data Science Central 2020-09-22T11:28:17Z https://www.datasciencecentral.com/video/video/listTagged?tag=Data+Prep%E2%80%9D%2C&rss=yes&xn_auth=no DSC Webinar Series: Weaponizing Data in the Fight Against White Collar Crimes tag:www.datasciencecentral.com,2020-01-21:6448529:Video:924729 2020-01-21T22:04:03.201Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-weaponizing-data-in-the-fight-against-white"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/3830023345?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>In this webinar analyst and advisor Alasdair Anderson will discuss how escalating global white collar crime activity is driving adoption of advanced analytics at a pace never before seen in mature enterprises. Organizations are having to change the way they deal with data and change the types of data that they utilize. The old data… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-weaponizing-data-in-the-fight-against-white"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/3830023345?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />In this webinar analyst and advisor Alasdair Anderson will discuss how escalating global white collar crime activity is driving adoption of advanced analytics at a pace never before seen in mature enterprises. Organizations are having to change the way they deal with data and change the types of data that they utilize. The old data management adage of "garbage in, garbage out" has been left behind as organizations realize that agile wrangling of all data is far more valuable that static historic curated data sets.<br /> <br /> In this latest Data Science Central webinar you will learn:<br /> <br /> How large organizations are using data to fight white collar crimes<br /> The crucial role cloud technology plays in advanced analytics<br /> Why data wrangling is a key functionality in dealing with "garbage" data<br /> <br /> Speakers:<br /> Alasdair Anderson, Independent Consultant<br /> Matt Derda, Customer Marketing Manager - Trifacta<br /> <br /> Hosted by:<br /> Stephanie Glen, Editorial Director - Data Science Central DSC Webinar Series: How Bank of America Uses Data Prep for Faster Reporting tag:www.datasciencecentral.com,2019-12-11:6448529:Video:913900 2019-12-11T00:11:20.871Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-how-bank-of-america-uses-data-prep-for-faster"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/3764395366?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Knowledge workers typically a) get information b) perform logic on that information and c) finally reach a conclusion and can take action. The time to just clean and prepare data for analysis can cause significant bottlenecks and delay the ability to take any action. Automating these series of tasks, mechanizes repetitive and manual tasks.… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-how-bank-of-america-uses-data-prep-for-faster"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/3764395366?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Knowledge workers typically a) get information b) perform logic on that information and c) finally reach a conclusion and can take action. The time to just clean and prepare data for analysis can cause significant bottlenecks and delay the ability to take any action. Automating these series of tasks, mechanizes repetitive and manual tasks. This frees up knowledge workers to focus on more value-added activities. A series of lessons will be shared with a case study from the banking trenches on how to leverage data wrangling to help automate these series of tasks on a use case within Risk Management and reduce a 10,000 hour regulatory process down to 10 hours.<br /> <br /> In this latest Data Science webinar you will learn:<br /> <br /> How manual and repetitive tasks are costing organizations trillions of dollars in non-productive work<br /> Understand how to drive adoption of new technologies within your organization<br /> How assembly line thinking has led to mistakes in the way we approach data pipelines<br /> <br /> Speakers:<br /> Salah Khawaja, Managing Director,<br /> Automation Global Risk - Bank of America<br /> Raj Anand, Sr. Vice President,<br /> Automation Global Risk - Bank of America<br /> Will Davis, Head of Marketing - Trifacta<br /> <br /> Hosted by:<br /> Stephanie Glen, Editorial Director - Data Science Central DSC Webinar Series: 20 Predictions for 2020 from AI to Data Management tag:www.datasciencecentral.com,2019-12-05:6448529:Video:912757 2019-12-05T01:02:06.728Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-20-predictions-for-2020-from-ai-to-data"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/3755511672?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>AI, machine learning, cloud, self-service, data governance, etc…there is no shortage of buzzwords in data today. Every organization is seeking to outpace their competition by leveraging data to drive differentiation for their business. To win this race, companies are building up data science teams, investing in faster/more scalable cloud data… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-20-predictions-for-2020-from-ai-to-data"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/3755511672?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />AI, machine learning, cloud, self-service, data governance, etc…there is no shortage of buzzwords in data today. Every organization is seeking to outpace their competition by leveraging data to drive differentiation for their business. To win this race, companies are building up data science teams, investing in faster/more scalable cloud data platforms and utilizing the growing variety of publicly available datasets and algorithms. How do you stay ahead of what’s next and help drive the successful adoption of new technology and processes within your organization?<br /> <br /> This latest Data Science Central webinar will be interactive and will review where we think data management, analytics and ML/AI are headed next. The session will also focus on how to use the predictions and data we share in the session to drive modernization efforts at your company.<br /> <br /> In this webinar you can expect to learn:<br /> <br /> Will cloud-native services &amp; kubernetes fundamentally change our approach to data infrastructure &amp; application integration?<br /> Will the buzz around machine learning continue or will the first ML initiatives stumble out of the gates?<br /> How will the nature of self-service change with an increased focus on data governance &amp; security?<br /> <br /> Speakers:<br /> Will Davis, Head of Marketing - Trifacta<br /> Eric Kavanagh, CEO - The Bloor Group<br /> Evren Cakir, Senior Analyst - The Bloor Group<br /> <br /> Hosted by:<br /> Stephanie Glen, Editorial Director - Data Science Central DSC Webinar Series: Some Great Ways to Visualize Survey Data (and Virtually any Type of Data) tag:www.datasciencecentral.com,2019-09-28:6448529:Video:892105 2019-09-28T00:27:34.849Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-some-great-ways-to-visualize-survey-data-and"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/3632220939?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Steve Wexler’s datarevelations.com website is one of the premier resources for visualizing survey data with Tableau. As Steve points out on the site, the number one impediment to success with Tableau is getting your data “just so.”<br></br> <br></br> In this latest Data Science Central webinar, Steve will first preview Tableau Prep, Tableau’s… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-some-great-ways-to-visualize-survey-data-and"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/3632220939?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Steve Wexler’s datarevelations.com website is one of the premier resources for visualizing survey data with Tableau. As Steve points out on the site, the number one impediment to success with Tableau is getting your data “just so.”<br /> <br /> In this latest Data Science Central webinar, Steve will first preview Tableau Prep, Tableau’s data preparation tool and show you how to wrangle cumbersome survey data. Next, Steve will show two different, but insanely useful, techniques for visualizing check-all-that-apply questions and benchmarking questions.<br /> <br /> This should be a great combination of visualization best practices mixed with “get-your-hands-dirty” in Tableau.<br /> <br /> Speaker:<br /> Steve Wexler, Founder - Data Revelations<br /> <br /> Hosted by:<br /> Stephanie Glen, Editorial Director - Data Science Central DSC Webinar Series: Why Data Prep is Step 1 for Analytics Success tag:www.datasciencecentral.com,2019-08-06:6448529:Video:865775 2019-08-06T22:25:08.414Z Tim Matteson https://www.datasciencecentral.com/profile/2edcolrgc4o4b <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-why-data-prep-is-step-1-for-analytics-success"><br /> <img alt="Thumbnail" height="135" src="https://storage.ning.com/topology/rest/1.0/file/get/3411057447?profile=original&amp;width=240&amp;height=135" width="240"></img><br /> </a> <br></br>Sad but true when it comes to data prep - data practitioners spend up to 80% of their time scrubbing and preparing their data before performing any meaningful analytics. Meanwhile, organizations are increasingly moving data and analytics from the on-premise environment to the cloud as part of their digital transformation initiatives. The… <a href="https://www.datasciencecentral.com/video/dsc-webinar-series-why-data-prep-is-step-1-for-analytics-success"><br /> <img src="https://storage.ning.com/topology/rest/1.0/file/get/3411057447?profile=original&amp;width=240&amp;height=135" width="240" height="135" alt="Thumbnail" /><br /> </a><br />Sad but true when it comes to data prep - data practitioners spend up to 80% of their time scrubbing and preparing their data before performing any meaningful analytics. Meanwhile, organizations are increasingly moving data and analytics from the on-premise environment to the cloud as part of their digital transformation initiatives. The rapid migration to the cloud further extends this data preparation nightmare given the varying shapes and sizes of the data stored in the cloud.<br /> <br /> Join David Menninger, SVP &amp; Research Director at Ventana Research, and Jie Wu, Product Marketing Director at Trifacta for a live discussion on how to select a cloud data preparation solution to accelerate your analytics journey in the cloud. In this latest Data Science Central webinar, you will learn:<br /> <br /> Challenges with data prep in the cloud<br /> Why ETL tools alone are not sufficient to deliver well-prepared data in the cloud<br /> Key considerations when selecting a data prep tool for cloud data lakes and cloud data warehouses<br /> Speakers:<br /> Jie Wu, Product Marketing Director - Trifacta<br /> David Menninger, SVP &amp; Research Director - Ventana Research<br /> <br /> Hosted by:<br /> Rafael Knuth, Contributing Editor - Data Science Central