Episoder
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Calling all data enthusiasts! We're thrilled to announce that What the Data is back for another season! We've been busy gathering new insights and can't wait to dive deep with you into the fascinating world of data.
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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.
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Manglende episoder?
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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)
1 free eBook code for Conversational AI for a lucky listener (use code cowtdr-7744) -
Kush Varshney - We should thrive for a trustworthy AI (#24)
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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.
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?
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: polypolyTune 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:
Give us feedback - https://forms.gle/sTbkzHPUo86nqM6y8Interested in joining our podcast as a guest? Fill the following form https://forms.gle/gV6hobxNmBgfdDoa6Join our mailing list - https://bit.ly/2MXfK8YYou can follow us on social media Facebook: https://www.facebook.com/whathedata/Linkedin - https://www.linkedin.com/company/what-the-data-podcastHave a data-related question? Submit it here: http://bit.ly/3rj5VBY
Linkedin: https://www.linkedin.com/showcase/polypoly-cooperative
Twitter: https://twitter.com/polypolyCOOP
PolyPoly: https://polypoly.coop
-------As always if you enjoyed this episode, please like, subscribe, and share it with your network so we can outreach new audiences.
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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.
What's the big deal with Data-Oriented programming?Is it a new paradigm? And in what languages is the paradigm applicable?
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.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:
Give us feedback - https://forms.gle/sTbkzHPUo86nqM6y8Interested in joining our podcast as a guest? Fill the following form https://forms.gle/gV6hobxNmBgfdDoa6Join our mailing list - https://bit.ly/2MXfK8YYou can follow us on social media Facebook: https://www.facebook.com/whathedata/Linkedin - https://www.linkedin.com/company/what-the-data-podcastHave a data-related question? Submit it here: http://bit.ly/3rj5VBY
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
-------As always if you enjoyed this episode, please like, subscribe, and share it with your network so we can outreach new audiences.
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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:
Give us feedback - https://forms.gle/sTbkzHPUo86nqM6y8Interested in joining our podcast as a guest? Fill the following form https://forms.gle/gV6hobxNmBgfdDoa6Join our mailing list - https://bit.ly/2MXfK8YYou can follow us on social media Facebook: https://www.facebook.com/whathedata/Linkedin - https://www.linkedin.com/company/what-the-data-podcastHave a data-related question? Submit it here: http://bit.ly/3rj5VBY
lessimoreyou.com
https://www.linkedin.com/in/zineblayachi/
-------As always if you enjoyed this episode, please like, subscribe, and share it with your network so we can outreach new audiences.
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Hello and welcome to another episode of WHAT the Data?! Podcast, and today we have for you a great episode with Taye Johnson. Taye is an LGBTQ+ advocate and tech educator, nicknamed the "Quiet Storm", data analytics manager at eidolon communications and serving on CUNY Tech Prep's Advisory Board.
In this episode, we got to know more about Taye's view on data culture and why pursuing a career in data is still not a lost cause.
If you want to get to know our guest, even more, you can follow Taye here:
Give us feedback - https://forms.gle/sTbkzHPUo86nqM6y8Interested in joining our podcast as a guest? Fill the following form https://forms.gle/gV6hobxNmBgfdDoa6Join our mailing list - https://bit.ly/2MXfK8YYou can follow us on social media Facebook: https://www.facebook.com/whathedata/Linkedin - https://www.linkedin.com/company/what-the-data-podcastHave a data-related question? Submit it here: http://bit.ly/3rj5VBY
https://www.linkedin.com/in/taye/
-------As always if you enjoyed this episode, please like, subscribe, and share it with your network so we can outreach new audiences.
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Have you heard about the power of PySpark?
Jonathan Rioux joining Michael and Lior for an amazing episode talking about the power of Spark, and Python as well as why he decided to write an entire book about PySpark.
In today’s episode, we have Jonathan Rioux, he leads the data science operations for EPAM Canada and writes a book about large-scale data analysis.Michael and I talked with Jonathan about setting your spark cluster using python, what should you know about it, why he started writing his book.
Michael went into the technical details as he loves, and I stayed focus on the product, enjoy this episode!
Give us feedback - https://forms.gle/sTbkzHPUo86nqM6y8Interested in joining our podcast as a guest? Fill the following form https://forms.gle/gV6hobxNmBgfdDoa6Join our mailing list - https://bit.ly/2MXfK8YYou can follow us on social media Facebook: https://www.facebook.com/whathedata/Linkedin - https://www.linkedin.com/company/what-the-data-podcastHave a data-related question? Submit it here: http://bit.ly/3rj5VBY
You have an extra discount on all books using podwtd20 on https://www.manning.com/
Wish to talk with Jonathan?
Linkedin: https://www.linkedin.com/in/jonathanrx/
Twitter: https://twitter.com/lejonesberg
Link to Jonathan's book: https://www.manning.com/books/data-analysis-with-python-and-pyspark
-------As always if you enjoyed this episode, please like, subscribe, and share it with your network so we can outreach new audiences.
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Hello and welcome to another episode of WHAT the Data?! Podcast, and today we have for you a great episode with Jean de Bressy.
After growing as a product manager and marketeer at trivago, Jean moved to Zalando three years ago to work on expanding performance marketing activities through automation. A very keen reader, he now focuses on making the most of the available data in-house to optimize conversions.In this episode, we got to know more about Jean's view on data-driven decisions, his experience with data while working for Zalando, and his view on the future of marketing automation.
If you want to get to know our guest, even more, you can follow Jean here:
Give us feedback - https://forms.gle/sTbkzHPUo86nqM6y8Interested in joining our podcast as a guest? Fill the following form https://forms.gle/gV6hobxNmBgfdDoa6Join our mailing list - https://bit.ly/2MXfK8YYou can follow us on social media Facebook: https://www.facebook.com/whathedata/Linkedin - https://www.linkedin.com/company/what-the-data-podcastHave a data-related question? Submit it here: http://bit.ly/3rj5VBY
https://www.linkedin.com/in/jeandebressy/
-------As always if you enjoyed this episode, please like, subscribe, and share it with your network so we can outreach new audiences.
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Just a quick update that we be back soon with new episodes
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Marcello Is a senior software engineer at Tundra.com, Author of "Algorithms and Data Structures in Action", His work and interests focus on graphs, optimization algorithms, genetic algorithms, machine learning, and quantum computing.
Why do you go by "Software Engineer" instead of something with more buzzwords?How to have better cooperation between business, engineering, and analytics?What is the difference between a model and an algorithm? How are they related? Which job profiles are connected to them?Will the areas of data science, analytics, and engineering converge in the future or become even more specialized?
What have talked with him about:If you wish to learn more, Marcello was kind to generate a unique discount with his publishing house Manning Publications giving you a 35% discount code (good for all products in all formats): podwtd20
You can refer to this link: http://mng.bz/V8Dr
Marcello was also kind to share a free book for a lucky listener. Here is one free eBook code good for a copy of Advanced Algorithms and Data Structures for a lucky listener
You can find him here: https://www.linkedin.com/in/marcellolarocca/
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Join our Mailing List: https://bit.ly/2MXfK8Y
As always if you like it please subscribe
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Or even send us a voice question: http://bit.ly/3rj5VBY -
Jakub is a Mobile Growth & Pricing Optimization specialist with large experience in dating apps, he loves coriander and lives in the Czech Republic, and we couldn't have him in a better time talking about dating apps, scammers, and what you actually should look at, and it's not what you most likely think.
Tune in to this amazing episode where we asking, based on the data, does it actually make sense for you to start developing your own dating app?
What KPIs should dating apps look atWhat scammers do to your productHow can you work with Facebook and Google and what alternatives you have?This and much more in our Be aware of scammers in your dating app! the episode with our amazing guest Jakub.
You can find Jakub here: https://www.linkedin.com/in/jakubchour/
Join our Mailing List: https://bit.ly/2MXfK8Y
As always if you like it please subscribe
You can follow us on Facebook: https://www.facebook.com/whathedata/
Linkedin: https://www.linkedin.com/company/what-the-data-podcast
Or even send us a voice question: http://bit.ly/3rj5VBY -
Juliana Jackson, also known as the CLV lady, is a serial intrapreneur. she has been working with Sales, Marketing, and Product teams for the last ten years helping them approach Customer Centricity as a mission rather than just a growth strategy. She loved E-Commerce, and her focus is to help merchants (re)discover the power of analyzing, understanding and using first-party data.
In this episode, we talked about
What is first-party data?
What KPIs you need to understand your retention?
What is the actually calculation of CLV
And much more, we hope you going to enjoy this one. -
Thomas an independent consultant, work with apps and almost only with non-gaming apps specialized in the subscription business models. During the interview, we asked him:
Where do you see the most issues with startup's data? ✨How to spot data issues?✨What data stack can be used by companies?✨Which KPIs should not be used any longer?✨The future of the industry going forward✨Thomas is sending around a great mailing list to anyone doing marketing in the app industry and you can find it here: https://madv.substack.com/
Follow us on Facebook: https://www.facebook.com/whathedata/
Follow us on Linkedin: https://www.linkedin.com/company/what-the-data-podcast
Wish to send us voice questions: http://bit.ly/3rj5VBY -
In episode 12 and the last one for 2020, Michael and Lior talk about collecting data, what is an API, why do you need to use it and what point is it relevant for you to start thinking about automating your data collection.
✨ WHAT is an API?✨ WHAT is the right time to start using APIs to collect data?
✨ Knowledge is a key ingredient in getting your data
Follow us on Facebook: https://www.facebook.com/whathedata/
Follow us on Linkedin: https://www.linkedin.com/company/what-the-data-podcast
Wish to send us voice questions: http://bit.ly/3rj5VBY
See you next year! -
Performance managers should not only manage campaigns, they need to work with data, a lot of data, and it should be the company culture. In this episode, Lior Barak talks with the queen of Google campaigns, Maria Brigida Deleonardis on her path to becoming data centric.
Moving away from performance to data?Becoming a better marketerWorking with data is adding another layer on topAnalyst need to understand the managementwhy should we hire you, marketing analyst
Bri talked about the course she is taking "Data Analysis for Management" and why she thinks every performance manager should take it.
More in this episode: -
Episode 10 is here and we have another special guest, Philipp Loringhoven, a designer and dev turned marketer turned data nerd. Caught between marketing, product development, and data. which if there is one thing that is important to know about him is the belief data is a culture!
In this episode, we will ask if MAUs are really useful? Are we allowed to make mistakes? And how should you use data as a culture?
Join us for another great episode exploring the deep side of data - Vis mere
