Share this
On BigQuery and machine learning workshop at Oogstonline
by Veronika Schipper on Jan 17, 2019 1:22:12 PM
Last week we gave a bespoke Google Cloud workshop to the analytical team from Oogstonline to help them learn as much as possible about Google BigQuery and machine learning, both in theory and practice. Oogstonline is an innovative online marketing agency focused on the right use of customer data and online returns. The workshop took place at their office in Amsterdam and took two days.
"The client had two goals to accomplish," says Jan Hendrik, the commercial director of Crystalloids. "To get the most out of BigQuery in speed, cost management, and smart queries. Furthermore, they wanted to learn about artificial intelligence with a focus on machine learning." he continues. "We worked on client's Google Analytics360 data to get hands-on experience with analytics and machine learning."
"The first day we had around twelve people in the group, and we started with an introduction to Google Cloud Platform, then deep-dived into BigQuery and machine learning," explains Bart Marseille, a lead data scientist from Crystalloids who trained the group both days. "In the afternoon, we built a model based on real customer data from Google Analytics to predict conversion probability during a web session. It went all well."
"Day two was purely for data scientists who already had programming knowledge. We looked at machine learning using Python and Tensorflow in Google Datalab working on the same use case as on day one. We covered four topics: pre-processing of data sets, training a model, validating and bringing a model to production," Bart describes. "The Oogstonline's team was very motivated, eager to learn and had a good knowledge about data science. It was a pleasure working with them."
Every workshop we give is customized to the specific needs and interests of your company and your employees so that you can get the most out of it. We always start with an intake to decide what kind of program suits you and your company best.
ABOUT OOGSTONLINE
Founded in 2006, Oogstonline is an innovative online marketing agency focused on the right use of customer data and online returns. By managing search, display, social and affiliate channels, Oogstonline supports companies on their digital growth journey. In 2017 Oogst was named one of the fasted growing companies in the Netherlands. Currently, they help national and international A-brands and are a part of Merkle, an American data-driven marketing consultancy.
For more information, please visit www.oogstonline.nl
ABOUT CRYSTALLOIDS
Crystalloids helps companies improve their customer experiences and build marketing technology. Founded in 2006 in the Netherlands, Crystalloids builds crystal-clear solutions that turn customer data into information and knowledge into wisdom. As a leading Google Cloud Partner, Crystalloids combines experience in software development, data science, and marketing making them one of a kind IT company. Using the Agile approach Crystalloids ensures that use cases show immediate value to their clients and make their job focus more on decision making and less on programming.
For more information, please visit www.crystalloids.com or follow us on LinkedIn.
Share this
- December 2024 (1)
- November 2024 (5)
- October 2024 (2)
- September 2024 (1)
- August 2024 (1)
- July 2024 (4)
- June 2024 (2)
- May 2024 (1)
- April 2024 (4)
- March 2024 (2)
- February 2024 (2)
- January 2024 (4)
- December 2023 (1)
- November 2023 (4)
- October 2023 (4)
- September 2023 (4)
- June 2023 (2)
- May 2023 (2)
- April 2023 (1)
- March 2023 (1)
- January 2023 (4)
- December 2022 (3)
- November 2022 (5)
- October 2022 (3)
- July 2022 (1)
- May 2022 (2)
- April 2022 (2)
- March 2022 (5)
- February 2022 (3)
- January 2022 (5)
- December 2021 (5)
- November 2021 (4)
- October 2021 (2)
- September 2021 (2)
- August 2021 (3)
- July 2021 (4)
- May 2021 (2)
- April 2021 (2)
- February 2021 (2)
- January 2021 (1)
- December 2020 (1)
- October 2020 (2)
- September 2020 (1)
- August 2020 (2)
- July 2020 (2)
- June 2020 (1)
- March 2020 (2)
- February 2020 (1)
- January 2020 (1)
- December 2019 (1)
- November 2019 (3)
- October 2019 (2)
- September 2019 (3)
- August 2019 (2)
- July 2019 (3)
- June 2019 (5)
- May 2019 (2)
- April 2019 (4)
- March 2019 (2)
- February 2019 (2)
- January 2019 (4)
- December 2018 (2)
- November 2018 (2)
- October 2018 (1)
- September 2018 (2)
- August 2018 (3)
- July 2018 (3)
- May 2018 (2)
- April 2018 (4)
- March 2018 (5)
- February 2018 (2)
- January 2018 (3)
- November 2017 (2)
- October 2017 (2)