#DATA-GOVERNANCE
List of the best Telegram channels tagged with #DATA-GOVERNANCE.
The #data-governance tag brings together 9 Telegram channels with a combined audience of 11,072 subscribers. Content is primarily in Russian (78%) and Persian (22%). Channels are grouped under Education, Technology, News. Channels tagged #data-governance frequently also cover #ai (67%), #business-intelligence (44%), #data-analytics (33%).
A channel about the life of BI analytics and information design in corporate realities with a focus on working management practices. I keep it as a chronicle of what is useful for myself and people with the same neuroses. Alexander Barakov @alexbarakov datanature.ru data-nature.com (I don’t advertise)
Educational project DataTalks. We talk about data management at conferences, meetups and marathons. #datatalks #no-borders #no-ads #no-water Contacts: [email protected] datatalks.rt.ru rutube.ru/channel/25367326/
The latest news from the world of data analytics and AI @olgabezotosnaya https://data.korusconsulting.ru
In simple words about Data Management - Data Governance: how to assess the current level of maturity of the system, collect business requirements for data and maintain their quality, become a Data Driven company Contact the author: [email protected]
Forum chat “Data Management” www.osp.ru/lp/dm2026 For questions regarding participation: [email protected] Organizer: “Open Systems” - t.me/osp_ru
Official TData channel TData is a leading Russian developer of a data analytics platform. The platform includes products for transportation, storage, processing, visualization and data management. tdata.tech
نفت #عصر_دیجیتال و عامل پایدارکننده یا برهمزنندهی تعادلها در دنیای معاصر #Data است. آزمایشگاه داده و حکمرانی با درک اهمیت Data به انجام فعالیتهای پژوهشی سیاستیار و ایفاء نقش کارآفرین سیاستی میپردازد. وبسایت ما: D4GLab.ir
Ahmed Ebrahimi (Ph.D. in industrial engineering, associate professor and member of the academic staff of the university) Admin: @a_et1976 Dr. Ahmad Ebrahimi- Associate Professor in Industrial Engineering
Как сделать данные надёжными, понятными и готовыми для ML и человеческих решений? Здесь я исследую, как выстроить инфраструктуру и процессы, которые делают данные полезными не только для аналитиков, но и для моделей AI - и в итоге для всего бизнеса.