ΠœΠΈΡ‚Π°ΠΏ ΠΏΠΎ ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚ΠΎΠ²ΠΎΠΉ Π°Π½Π°Π»ΠΈΡ‚ΠΈΠΊΠ΅: бСсплатно, бСсконтактно, ΠΎΠ½Π»Π°ΠΉΠ½

ΠœΠΈΡ‚Π°ΠΏ ΠΏΠΎ ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚ΠΎΠ²ΠΎΠΉ Π°Π½Π°Π»ΠΈΡ‚ΠΈΠΊΠ΅: бСсплатно, бСсконтактно, ΠΎΠ½Π»Π°ΠΉΠ½

7-Π³ΠΎ мая Π² 19:00 ΠΏΠΎ МосквС ΠΏΡ€ΠΈΠ³Π»Π°ΡˆΠ°Π΅ΠΌ всСх ΠΏΡ€ΠΈΡΠΎΠ΅Π΄ΠΈΠ½ΠΈΡ‚ΡŒΡΡ ΠΊ ΠΌΠΈΡ‚Π°ΠΏΡƒ ΠΏΠΎ ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚ΠΎΠ²ΠΎΠΉ Π°Π½Π°Π»ΠΈΡ‚ΠΈΠΊΠ΅. ΠžΠ±ΡΡƒΠ΄ΠΈΠΌ всС самоС Π²Π°ΠΆΠ½ΠΎΠ΅: Ρ€Π°Π±ΠΎΡ‚Ρƒ с Π΄Π°Π½Π½Ρ‹ΠΌΠΈ, инсайты, ΠΏΠΎΠ΄Ρ…ΠΎΠ΄Ρ‹ ΠΊ исслСдованиям ΠΈ ΠΏΠΎΠ³ΠΎΠ²ΠΎΡ€ΠΈΠΌ ΠΎ Ρ€ΠΎΠ»ΠΈ ΠΏΡ€ΠΎΠ΄ΡƒΠΊΡ‚ΠΎΠ²ΠΎΠ³ΠΎ Π°Π½Π°Π»ΠΈΡ‚ΠΈΠΊΠ° Π² ΠΊΠΎΠΌΠ°Π½Π΄Π΅. ΠœΠ΅Ρ€ΠΎΠΏΡ€ΠΈΡΡ‚ΠΈΠ΅ ΠΏΡ€ΠΎΠΉΠ΄Π΅Ρ‚ ΠΏΠΎΠ»Π½ΠΎΡΡ‚ΡŒΡŽ Π½Π° английском языкС.

ΠŸΡ€ΠΎΠ³Ρ€Π°ΠΌΠΌΠ°:

1. Kirill Shmidt, Product Analyst at Wrike β€” Reproducible research in data analytics

Β«You decided to double-check your report or research which was done a couple of months ago. You discover that you’ve lost your data and forgot a precise method of transformation. So, you try to replicate the same result β€” you get different data and different conclusions. How can you trust your research if you can’t repeat it with the same result?
To handle this problem in Wrike we use a special approach in our research and analytics procedure which ensures that everything will be reproducible and accessible no matter who performed research and how long ago.Β»

2. Alexander Tolmachev, Head of Data Science at XSolla β€” Auto insights from data to make next best actions to up your business

Β«In XSolla we’ve built a system that helps to find insights in data. It automatically finds strategies and recommends where you will have the largest impact to achieve your goals. Simply input your data and ask what business problems you would like to solve. I will talk about how we built this system from scratch.Β»

3. Tanya Tandon, Product Analyst, Pandora β€” Best practices to partner across different stakeholders for better visibility and higher impact

Β«As a product analyst, you solve multiple problems. These problems could be anything β€” from collecting and analyzing the effect of an event such as coronavirus or mapping how a user discovers a feature. And solving these problems is important and most of us know how to handle it. But what do you do after you solve that particular problem? Report to your manager and people who asked those questions. Right?
That may seem enough, it really is not. We are product analysts loaded with such rich knowledge of data that many business folks are starving for without even knowing. You are way more valuable than you give yourself credit for.Β»

Π Π΅Π³ΠΈΡΡ‚Ρ€ΠΈΡ€ΡƒΠΉΡ‚Π΅ΡΡŒ Π½Π° ΠΌΠΈΡ‚Π°ΠΏ, ΠΈ ΠΌΡ‹ ΠΏΡ€ΠΈΡˆΠ»Π΅ΠΌ Π²Π°ΠΌ ссылку Π½Π° youtube-Ρ‚Ρ€Π°Π½ΡΠ»ΡΡ†ΠΈΡŽ.

Π˜ΡΡ‚ΠΎΡ‡Π½ΠΈΠΊ: habr.com