• Data is crucial for CRM and allows you to personalize the user journey, segment your user base, and understand user behavior.
• It is important to merge CRM data with your data warehouse to get a holistic view of the user journey and understand how different channels contribute to acquisition and retention.
• iOS 14.5 and future privacy changes make it more difficult to track users and attribute conversions, so it is important to experiment with new attribution models and focus on understanding the user journey across platforms.
• Re-engaging churned users is difficult, but it is important to try to do so before they uninstall the app. Push notifications can be effective, but they must be used carefully and with good segmentation.
• Some of the KPIs to measure CRM success include retention rate, conversion rate, and the impact of different campaigns on these metrics.

Andrew is a software architect in the Cloud and Cognitive Expert Labs and Learning group at IBM. He has extensive experience building solutions with AI and holds over 100 US patents.
Virtual assistants sometimes called chatbots

**Website:** http://freedville.com/
https://www.linkedin.com/in/andrewrfreed/
https://twitter.com/andrewrfreed
https://www.manning.com/books/creating-virtual-assistants

35% discount on all books of Manning Publication using link: http://mng.bz/V8Dr (use code podwtd20 in checkout)
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Kush Varshney - We should thrive for a trustworthy AI (#24)

Hello and welcome to another episode of WHAT the Data?! Podcast, and today we have for you a great episode with Thorsten Dittmar. Thorsten in this episode helped us to understand what is wrong with the dataconomy today.

Thorsten is passionate about data Economy, Data Privacy, EDGE-Computing, Privacy-preserving processing. He is a professional nerd, serial entrepreneur, impact investor, and mentor. Thorsten began his career in the early 80s in computer science. His first company was a one-man consulting firm, quickly developing into a profitable business with offices in several countries. After its sale, Thorsten became an impact investor in over 100 early-stage companies. In parallel, he worked as an executive consultant in the field of digital transformation with executives from European Fortune 500 companies. He has also acted as interim CTO for several growth phase start-ups. Now Founder and mind behind Europe's first data cooperative: polypoly

• What's the problem with today's dataconomy?
• What will happen if we do not fundamentally change the way we handle our data?
• Can we own our data and what does it mean?

Tune in to this amazing episode and we hope you will enjoy it as much as we did

If you want to get to know our guests, even more, you can follow here:
Linkedin: https://www.linkedin.com/showcase/polypoly-cooperative
Twitter: https://twitter.com/polypolyCOOP
PolyPoly: https://polypoly.coop

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• You can follow us on social media
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• Have a data-related question? Submit it here: http://bit.ly/3rj5VBY

As always if you enjoyed this episode, please like, subscribe, and share it with your network so we can outreach new audiences.

Hello and welcome to another episode of WHAT the Data?! Podcast, and today we have for you a great episode with Yehonathan Sharvit. Yehonathan in this episode helped us to understand what is data-oriented programming, how can you use it, and in general an intro to why it is important to adapt the method.

Yehonathan Sharvit has been working as a software engineer since 2000, programming with C++, Java, Ruby, JavaScript, Clojure, and ClojureScript. He currently works as a software architect at Cycognito, building software infrastructures for high-scale data pipelines. He shares insights about software at https://blog.klipse.tech/, writes technical books, speaks at conferences, and leads Clojure workshops around the world. He is the author of Data-Oriented programming, published by Manning.
Yehonathan is passionate about making interesting things easy to understand.

• What's the big deal with Data-Oriented programming?
• Is it a new paradigm? And in what languages is the paradigm applicable?

Tune in to this amazing episode and we hope you will enjoy it as much as we did

If you want to get to know our guests, even more, you can follow here:
Linkedin: https://www.linkedin.com/in/viebel/
Twitter: https://twitter.com/viebel
Blog: https://blog.klipse.tech/
Book: https://www.manning.com/books/data-oriented-programming

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• Interested in joining our podcast as a guest? Fill the following form https://forms.gle/gV6hobxNmBgfdDoa6
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• You can follow us on social media
  • Facebook: https://www.facebook.com/whathedata/
  • Linkedin - https://www.linkedin.com/company/what-the-data-podcast
• Have a data-related question? Submit it here: http://bit.ly/3rj5VBY

As always if you enjoyed this episode, please like, subscribe, and share it with your network so we can outreach new audiences.

Hello everyone,
It's been a while since we released a new episode, mainly due to the fact we were overwhelmed with work and other personal issues, but we are back for another season which we hope you will enjoy as much as we did to record it.

See you soon

Hello and welcome to another episode of WHAT the Data?! Podcast, and today we have for you a great episode with Zineb Layachi. Zineb has a lot of experience from business development to sales enablement and marketing, as two time CMO.
She is an active player in the startup ecosystem as a marketing strategy consultant and mentor to B2B early-stage startups. She helps startups nail their marketing by talking to their customers. She loves to make personalized T-shirts and hates robotic messaging.

In this episode, we got to know more about Zineb's opinion on how to separate quantitative and qualitative data, and how to best approach your customers successfully.

If you want to get to know our guest, even more, you can follow Zineb here:
lessimoreyou.com
https://www.linkedin.com/in/zineblayachi/

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• Interested in joining our podcast as a guest? Fill the following form https://forms.gle/gV6hobxNmBgfdDoa6
• Join our mailing list - https://bit.ly/2MXfK8Y
• You can follow us on social media
  • Facebook: https://www.facebook.com/whathedata/
  • Linkedin - https://www.linkedin.com/company/what-the-data-podcast
• Have a data-related question? Submit it here: http://bit.ly/3rj5VBY

As always if you enjoyed this episode, please like, subscribe, and share it with your network so we can outreach new audiences.