ΠΡΠΈΠ²Π΅Ρ, Π₯Π°Π±Ρ! 7-Π³ΠΎ ΠΌΠ°Ρ Π² Wrike TechClub ΠΌΡ ΡΠΎΠ±ΡΠ°Π»ΠΈ ΡΠΊΡΠΏΠ΅ΡΡΠΎΠ² ΠΈΠ· XSolla, Pandora ΠΈ Wrike ΠΈ ΠΏΠΎΠ³ΠΎΠ²ΠΎΡΠΈΠ»ΠΈ ΠΎ ΠΏΠΎΠ΄Ρ ΠΎΠ΄Π°Ρ ΠΈ ΡΠ΅ΡΠ΅Π½ΠΈΡΡ Π² ΠΏΡΠΎΠ΄ΡΠΊΡΠΎΠ²ΠΎΠΉ Π°Π½Π°Π»ΠΈΡΠΈΠΊΠ΅, ΠΈΠ½ΡΠ°ΠΉΡΠ°Ρ , ΡΠΊΡΠΏΠ΅ΡΠΈΠΌΠ΅Π½ΡΠ°Ρ ΠΈ Π²Π·Π°ΠΈΠΌΠΎΠ΄Π΅ΠΉΡΡΠ²ΠΈΠΈ Π°Π½Π°Π»ΠΈΡΠΈΠΊΠ° Ρ Π΄ΡΡΠ³ΠΈΠΌΠΈ ΠΎΡΠ΄Π΅Π»Π°ΠΌΠΈ. ΠΠΎΠΊΠ»Π°Π΄Ρ ΠΈ ΠΎΠ±ΡΡΠΆΠ΄Π΅Π½ΠΈΠ΅ ΠΏΡΠΎΠ²ΠΎΠ΄ΠΈΠ»ΠΈ Π½Π° Π°Π½Π³Π»ΠΈΠΉΡΠΊΠΎΠΌ, ΡΠ°ΠΊ ΡΡΠΎ Π΅ΡΠ»ΠΈ Ρ ΠΎΡΠΈΡΠ΅ ΠΏΠΎΡΡΠ΅Π½ΠΈΡΠΎΠ²Π°ΡΡ ΡΠ·ΡΠΊ Π½Π° ΡΠ΄Π°Π»Π΅Π½ΠΊΠ΅, Π΄Π΅Π»ΠΈΠΌΡΡ Ρ Π²Π°ΠΌΠΈ Π²ΠΈΠ΄Π΅ΠΎΠ·Π°ΠΏΠΈΡΡΠΌΠΈ Π΄ΠΎΠΊΠ»Π°Π΄ΠΎΠ² ΠΈ ΡΠ»Π°ΠΉΠ΄Π°ΠΌΠΈ (Π² ΠΎΠΏΠΈΡΠ°Π½ΠΈΠΈ ΠΊ Π²ΠΈΠ΄Π΅ΠΎ).

ΠΡΠ»ΠΈ Π²Π°ΠΌ Π±Π»ΠΈΠ·ΠΊΠ° ΡΠ΅ΠΌΠ° ΠΏΡΠΎΠ΄Π°ΠΊΡ-ΠΌΠ΅Π½Π΅Π΄ΠΆΠΌΠ΅Π½ΡΠ°, Π½Π° ΡΠ΅ΠΌΠ°ΡΠΈΡΠ΅ΡΠΊΠΈΠΉ ΠΎΠ½Π»Π°ΠΉΠ½-ΠΌΠΈΡΠ°ΠΏ, ΠΊΠΎΡΠΎΡΡΠΉ ΠΏΡΠΎΠΉΠ΄Π΅Ρ ΡΠΆΠ΅ Π·Π°Π²ΡΡΠ°, 19 ΠΌΠ°Ρ. Π‘ΠΏΠΈΠΊΠ΅ΡΡ ΠΈ ΡΠ΅ΠΌΡ ΠΎΠ±Π΅ΡΠ°Π΅ΠΌ ΠΈΠ½ΡΠ΅ΡΠ΅ΡΠ½ΡΠ΅!
Kirill Shmidt, Product Analyst at Wrike β Reproducible research in data analytics
βYou decided to double-check your report or research which was done a couple of months ago. You discover that youβve 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 canβt 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

Alexander Tolmachev, Head of Data Science at XSolla β Auto insights from data to make next best actions to up your business
βIn XSolla weβve 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

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

- Π½Π° ΠΌΠΈΡΠ°ΠΏ Product management in challenging times
ΠΡΡΠΎΡΠ½ΠΈΠΊ: habr.com
