Virtual DA Hub, WEDNESDAY, June 17th, 2020
Personal Agenda for
Virtual Lounge (Checking your tech & meeting other delegates)
10:10 - 10:25 CET
What is the best way to execute your data integration tasks – writing your own code or using an ETL tool? Find out the approach that best fits your organisational needs and the factors that influence it including:
- How data management is changing
- What is the Total Cost of Ownership (TCO) to being data-driven?
10:25 - 11:45 CET
11:45 - 12:00 CET
12:00 - 12:10 CET
We have all seen presentations about tech tools change to „powered by machine learning“ in the last few years with promises of full automation and intelligent decisions made by the underlying „engine“. But let‘s face it, upon deeper inspection, most of it turned out to be just hot air. I would like to look into some of the more „creative“ usages of not-machine learning in marketing and digital analytics, the prerequisites for actual application and some examples.
12:10 - 13:30 CET
13:35 - 13:50 CET
- Fivetran: Modern ETL and Data Pipelines
- DEPT: One simple tip (any area, any department), one simple use case (marketing), one not-so-simple use case (marketing)
13:50 - 14:00 CET
Summary & Prizes (in-person conference pass & two 75€ Amazon vouchers)
Please attend this session to be eligble for our prizes which include a complimentary pass to our next three-day physical event.
14:00 - 14:30 CET
Happy Hour Casual Networking & Conversations
Doing good with data: vulnerable customers need you!
Join Matthew Tod, one of the digital analytics industry pioneers, for a discussion about how we can harness our analytics skills to help vulnerable customers.
For all info please visit our Vulnerable Customers page.
Bye bye manual data pipelines, hello automation...
Let’s get together for a virtual drink and a light-hearted chat where you’ll get a chance to meet other practitioners interested in data pipelines.
Ask the Specialist… Data Protection & Privacy
Have any data protection and governance questions? Join Aurélie Pols for an open Q&A on evolving privacy legislations
Happy ML Bullshitting
Let's face it - ML is constantly thrown at us. But it is really delivering at the moment? Let's talk ML use cases, what is real and what isn't really.
Please rate the Virtual DA Hub (prizes - three 75€ Amazon vouchers)