Podcasts about datalicious

The TF&P Research team has been out in the field, the data has been collected, and the girls have their glasses and lab coats on to analyse it in this week's episode. Yes, Sophie and Clara delve deep into the qualitative and quantitative bits to consolidate some unbias findings on the Do's and Don'ts of Dating. They talk everything from what to say, do and drink, to what not to say, eat or tolerate. A word of warning this data was presented to the girls raw and untouched and they have endeavored to break it down for you so don't go saying they have just tampered with a load of big data because girlies, it was all evident(ish) in said data. A special thanks to all participants and our field research team who worked tirelessly around the clock to get the data back on time for the recording. Rest easy listeners, they will be rewarded with a pat on the back and a glass of water upon filing the report.Follow the analytical team on social @clazzykabana & @soph_lyons Hosted on Acast. See acast.com/privacy for more information.

Ever think, ‘wow those bins are full'? Or, ‘I just heard one of the girls screaming , I think there's a spider in her room'? Do you just go about your business and motor on? If so you need to look in the mirror and know you're potentially at risk of being a bolony housemate. Yes, the girls are back with some raw data gathered by their field research team and are spending this week's episode analysing it to formalise what makes a good co-habitant and what makes a not so fabulous one. It's the Do's and Don'ts of living with others and some stories are just…the data is brutal. Follow the chiefs of the TF&P laboratory: @clazzykabana and @soph_lyons Hosted on Acast. See acast.com/privacy for more information.

The TF&P Research team has been out in the field, the data has been collected, and the girls have their glasses and lab coats on to analyse it in this week's episode. Yes, Sophie and Clara delve deep into the qualitative and quantitative bits to consolidate some unbias findings on the Do's and Don'ts of Dating. They talk everything from what to say, do and drink, to what not to say, eat or tolerate. A word of warning this data was presented to the girls raw and untouched and they have endeavored to break it down for you so don't go saying they have just tampered with a load of big data because girlies, it was all evident(ish) in said data. A special thanks to all participants and our field research team who worked tirelessly around the clock to get the data back on time for the recording. Rest easy listeners, they will be rewarded with a pat on the back and a glass of water upon filing the report.Follow the analytical team on social @clazzykabana & @soph_lyons Hosted on Acast. See acast.com/privacy for more information.

Christian Bartens is possibly best known as the Founder and CEO of Datalicious, but he is also an Investor, Advisor and a C-Level Data Analytics Expert and Entrepreneur who is using his 20 years of experience to help companies build data capabilities in-house that deliver tangible business outcomes. Here he talks about the use of data in marketing, advertising and sales and new opportunities to use data to inform and align businesses to performance.

Get ready for Datalicious இன் தமிழ்.

Meeting with binary data is a new series from Datalicious. Where we discuss about the evolution of computer science and its applications.

Datalicious is an exclusive data science podcast designed for data science enthusiasts

For retailers, being data-driven in the 21st century is not a luxury but a matter of survival. Everything is measurable: from engagement to purchase patterns, and that creates the need for leaders who are capable of being both creative and analytical when it comes to integrating data into their decision-making process. To explore this challenge, I spoke with Kshira Saagar, Head of Analytics and Data Sciences at The Iconic, one of Australia’s leading online retailers. Previously at Datalicious and Fairfax, Saagar was responsible for institutionalizing data-driven analytics across the company’s core competencies and building next-generation analytical products for his organization.

For retailers, being data-driven in the 21st century is not a luxury but a matter of survival. Everything is measurable: from engagement to purchase patterns, and that creates the need for leaders who are capable of being both creative and analytical when it comes to integrating data into their decision-making process. To explore this challenge, I spoke with Kshira Saagar, Head of Analytics and Data Sciences at The Iconic, one of Australia’s leading online retailers. Previously at Datalicious and Fairfax, Saagar was responsible for institutionalizing data-driven analytics across the company’s core competencies and building next-generation analytical products for his organization.

Christian Bartens of Equifax and Datalicious touches base with Sima Vasa for this fourth episode of the Attribution Accelerator 2018 series. He talks about what Equifax and Datalicious offer to their customers. Together with Sima, he also shares a little more about the topic he tackled for the forum. Christian Bartens – Data-Driven Marketing (DDM) […] The post Christian Bartens – Expanding our Ecosystem with Equifax/Datalicious | Ep. 045 appeared first on Infinity Squared, LLC.

Christian Bartens of Equifax and Datalicious touches base with Sima Vasa for this fourth episode of the Attribution Accelerator 2018 series. He talks about what Equifax and Datalicious offer to their customers. Together with Sima, he also shares a little more about the topic he tackled for the forum. Christian Bartens - Data-Driven Marketing (DDM) Christian’s company, Datalicious, has been acquired by Equifax of which he is now the Marketing Measurement Leader. “Equifax has a lot of very interesting data assets that have been in the data game for a very long time.” - Christian Bartens They don’t have many people but they have their own dedicated marketing service that is called data-driven marketing or DDM. The people behind DDM break down into four capabilities, which they called link, reveal, engage and measure. Four Capabilities of DDM Link is all about linking data sets, getting rid of data silos and creating the mythical single customer view. The people who do this are an army of data analysts that help customers analyze their data to find juicy segments within the sets, like where their most profitable customers are. This is the reveal part. Equifax also helps find more of the same, which they call engage. They have integrations where they can create targeted email lists to help in this goal. And then, Datalicious comes in for the final part, measure. “We're filling that measurement capability to help people actually analyze [whether] what they're doing doesn't work or not and then do more of the same.” - Christian Bartens on Datalicious as part of Equifax Purchase Path by Datalicious Christian started Datalicious ten years ago in Australia and Asia. It has grown all over Asia since. Now, they’re trying to build the same capability for Equifax in the US, specializing in attribution. They build what is called the purchase path. “We assemble every single touch point people have with the brand before they buy something or do something of value.” - Christian Bartens Quick links to connect with Christian Bartens: LinkedIn Twitter Datalicious Equifax Sima loves to hear from her listeners with input, questions, suggestions and just to connect! You can find her at the links below! LinkedIn Twitter simav.sg-host.com Sima is passionate about data and loves to share, learn and help others that share that passion. If you love data as much as her, subscribe on iTunes and don't forget to leave a rating and review!

How are evolving attribution models changing to meet increasingly digital and fragmented media spends? In this episode we chat to Yorgos Moschovis, Head of Data Science & Engineering at Datalicious, about the evolution of channel economics and how the industry attributes ad impact and sales, deep-dive into modern multi-touch attribution and discuss what attribution might look like in the future.See omnystudio.com/listener for privacy information.

Have you ever seen a one-man show in the theater? It's awesome. Unless it's terrible. The same can be said for one-person digital analytics teams. It can be awesome, in that you get to, literally, do EVERY aspect of analytics. It can be terrible because, well, you've got to do EVERYTHING, and it's easy for the fun stuff to get squeezed out of the day. On this episode, we head back Down Under for a chat with Moe Kiss, product (and digital) analyst at THE ICONIC. Whether you pronounce "data" as DAY-tuh or DAH-tuh, Moe's perspective will almost certainly motivate you find new ways to push yourself and your organization forward. People, places, things, sites, and doodads mentioned in this episode were many, and they include: R, Tableau, Snowplow, adjust, Datalicious, Moe's post on Analysis of Competing Hypotheses, Moe's post on getting started in digital analytics, Jeffalytics.com, RSiteCatalyst, The Millenial Whoop, Kabaddi, Michael Yates, ABC (the Australian Broadcasting Corporation), an Event Tracking Naming Strategy from Chris Le, Simo Ahava, Nico Miceli, and Towards Universal Event Analytics - Building an Event Grammar by Snowplow co-founder Alex Dean.