Aash Viswanathan
Senior Data Scientist
Agile can't get analytics finished
Aash Viswanathan, Senior Data Scientist @ Atlassian
Data analytics is knowledge work, so as long as there are questions left to answer, there is no "done." This is because the analysis is for understanding things we don't know yet - making access to insights very difficult to schedule.
This talk should help those who've been asked for analytics ETAs or those being asked to prioritize other projects for "after analytics is done."
Aash will talk through how he has learned to handle strategy and processes for data analytics projects at Atlassian, LinkedIn, Lime, and other organizations, so confident analysis can be made from the data and analytics can grow alongside the business.
What is Data Agility Day?
Simply put, Data Agility Day is a day to examine ways to improve value extraction from data.
Many companies still struggle with delivering data projects on time, at scale, and with useful results.
Our mission is the persistent evolution of agile data methods, strategies, and team enablement.
Sessions will cover how individuals and teams at data-savvy organizations are achieving the agility that enables decisions to be made faster and create competitive advantages.
What is data agility?
Data agility is the ability to shorten the distance between data and the decision-making that drives action and empowers businesses to be insight-driven.
As the needs for insights grow, data teams are looking to increase their data management workflows and effectiveness - in essence, run data agile organizations.
On October 21st, we'll bring together data experts (engineers, developers, scientists, architects, and analysts) from leading companies to lead in-depth conversations, case studies, and strategies on exactly how to achieve true data agility.
Who attends Data Agility Day?
Data engineers, data developers, data architects, and data scientists as well as BI teams, marketing analytics professionals, innovation-focused executives, and other data science practitioners and leadership.
Join us for sessions surrounding:
- Data transformation
- Data orchestration
- Data visualization
- Data observability
- Data governance
- Data management
- Data ingestion