Tableau DataFam content from conferences around the world

DataFam podcast
Claim This Podcastby DataFam Podcast Admin
Podcast Overview
Tableau DataFam content from conferences around the world
Language
🇺🇲
Publishing Since
12/23/2019
1 verified contact email on file for DataFam podcast
Pitch yourself as a guest, propose sponsorships, or reach out directly to the host.
Recent Episodes

January 11, 2020
TC19: Deploying Tableau Mobile at Enterprise Scale
<p>Come learn the different strategies for deploying Tableau Mobile at an enterprise scale. We’ll also cover the various authentication types supported in mobile, challenges in securing data and how to overcome these issues by using Mobile Device Management (MDM) services to administer the mobile app and/or mobile device. Speaker(s): Rahul Motwani, Sham DorairajTheme: Tableau at ScaleType: SessionLevel: IntermediateTrack: IT & Server AdministrationTime: Wednesday - 11:00am to 12:01pmSource: <a href="https://tc19.tableau.com/learn/sessions/deploying-tableau-mobile-enterprise-scale#recording">https://tc19.tableau.com/learn/sessions/deploying-tableau-mobile-enterprise-scale#recording</a></p>

January 10, 2020
TC19: Demystifying Tableau's Data Connectivity APIs
<p>Best practices and real-world use cases with Extract API, Connector SDK, WDC and other techniques to get data into Tableau. Speaker(s): Joel Hutchison, Vlad UsatinTheme: Embedded AnalyticsType: SessionLevel: IntermediateTrack: DeveloperTime: Wednesday - 11:00am to 12:01pmSource: <a href="https://tc19.tableau.com/learn/sessions/demystifying-tableaus-data-connectivity-apis#recording">https://tc19.tableau.com/learn/sessions/demystifying-tableaus-data-connectivity-apis#recording</a></p>

January 10, 2020
TC19: Comcast: Measuring and Visualizing Sales Excellence
<p>We have developed an analytical framework to measure Sales Excellence across all sales channels. Our approach works across both Salesforce and Tableau and we use it to identify best practices and laggards, ultimately driving continued tool utilization & adoption, deeper engagement, and a demonstrable return on investment. In this session, we will share how Tableau Prep helps us be more independent, agile and more productive by accelerating our speed to insight, how we foster an insight-driven culture by arming sales leaders with actionable insights on opportunities to increase sales performance by increasing tool adoption and engagement, and how leading the conversation with the story makes the call to action more compelling. Speaker(s): Jim Multari, Yasmine NdassaTheme: Data Management, Data CultureType: SessionLevel: IntermediateTrack: CustomerTime: Wednesday - 11:00am to 12:01pmSource: <a href="https://tc19.tableau.com/learn/sessions/comcast-measuring-and-visualizing-sales-excellence#recording">https://tc19.tableau.com/learn/sessions/comcast-measuring-and-visualizing-sales-excellence#recording</a></p>
26 total episodes available
Deep-dive analytics for DataFam podcast
Frequently asked questions
Have a different question and can't find the answer you're looking for? Reach out to our support team by sending us an email and we'll get back to you as soon as we can.
- What is DataFam podcast?
- How often does this podcast release new episodes?
This podcast updates daily.
- Where can I listen to this podcast?
This podcast is available on 4 platforms including Apple Podcasts, Spotify, and more. You can also use the RSS feed directly.
- Does this podcast accept guests?
No, this podcast does not typically feature guests.
Legal Disclaimer
Pod Engine is not affiliated with, endorsed by, or officially connected with any of the podcasts displayed on this platform. We operate independently as a podcast discovery and analytics service.
All podcast artwork, thumbnails, and content displayed on this page are the property of their respective owners and are protected by applicable copyright laws. This includes, but is not limited to, podcast cover art, episode artwork, show descriptions, episode titles, transcripts, audio snippets, and any other content originating from the podcast creators or their licensors.
We display this content under fair use principles and/or implied license for the purpose of podcast discovery, information, and commentary. We make no claim of ownership over any podcast content, artwork, or related materials shown on this platform. All trademarks, service marks, and trade names are the property of their respective owners.
While we strive to ensure all content usage is properly authorized, if you are a rights holder and believe your content is being used inappropriately or without proper authorization, please contact us immediately at hey@podengine.ai for prompt review and appropriate action, which may include content removal or proper attribution.
By accessing and using this platform, you acknowledge and agree to respect all applicable copyright laws and intellectual property rights of content owners. Any unauthorized reproduction, distribution, or commercial use of the content displayed on this platform is strictly prohibited.
