Telegram RegisterThe public register of Telegram
Telegram profile photo for БФТ про данные

Channel

БФТ про данные

@bft_prodata

On this record: Growth · Engagement · Reactions · Stars · Posts · Citations · Cite this entry

330subscribers

-1 since we began measuring on 7 August 2026

Risers and fallers across the register · movement among entries of Under 1,000.

Register entry

Telegram ID-1002642199358
TypeChannel
Username@bft_prodata
CreatedBetween 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded7 August 2026
Last confirmed live15 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 15 August 2026
On Telegramt.me/bft_prodata

Growth

330331330.57 August 2026 — 331 subscribers7 August 2026 — 331 subscribers15 August 2026 — 330 subscribers7 August 202615 August 2026
3 measurements spanning 8 days, net -1. Dots are measurements; the straight line between them is drawn to join them, not to claim we know the path taken in between — snapshots are recorded only when a count changes, so gaps mean “no change observed”, never “interpolated”. The vertical axis spans 330–331 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
15 Aug 2026, 03:23330-1
7 Aug 2026, 21:00331no change
7 Aug 2026, 02:17331first reading

Engagement

17 posts held, back to 10 March 2026the reader has not yet reached the start of this channel’s public history, so older posts may sit further back, unread. Read across 1 pageof Telegram’s post history, 20 posts per page.

ERR · 30 days
40.6%
avg views ÷ 330 subscribers
Avg views / post
134
2 posts measured
Reaction rate
11.9%
reactions ÷ views · ER floor
Posts in window
2
of 17 held

ERR is average views per post over the last 30 days divided by subscribers, the definition TGStat uses, so this figure is comparable with the one you will see elsewhere. It falls structurally as a channel grows: a high ERR on a small channel and a low one on a large channel describe reach mathematics, not quality. We publish the figure and the sample it came from and pass no verdict on it.

ER is defined industry-wide as (forwards + reactions + comments) ÷ views— note the denominator is views, not subscribers. Telegram’s public web preview carries views and reactions but not forward or comment counts, so the reaction rate above is the reactions term only and is therefore a floor: the true ER for this channel is higher by an amount we have not measured and will not estimate.

What these figures were computed from
WindowRolling 30 days · latest post in window 23 July 2026
Posts held17 (10 March 202623 July 2026)
Views total268
Reactions total32
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken7 Aug 2026, 02:17 UTC

Views are a single reading per post, taken at the time above. A post published in the last day or two is still accumulating views, which pulls the 30-day average down slightly. That is a property of the standard definition rather than a fault in it, so we keep the definition rather than “correcting” the number into something nobody can reproduce.

Precision. Telegram publishes view counts on its public widget in short form — 8.12K, 3.7M — so any reading at or above 1,000 reaches us rounded to three significant figures, and only counts below 1,000 are exact. Averages and rates derived from them are shown to the same precision rather than to the unit: a figure like 3,701,250 would assert digits nobody measured.

Reaction counts are published per emoji and rounded the same way, so a total below 1,000 is exact and a larger one is a sum that may carry a rounded component from each emoji above 1,000. Because it is a sum, it does not look rounded — read a large reaction total as three significant figures per contributing emoji rather than as the figure it prints.

Reaction mix

310 reactions across 17 posts, in 10 distinct kinds. The most used accounts for 26.8% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
custom 53978016006705073938326.8%
custom 53235471566304834036019.4%
custom 53530256088320046535216.8%
custom 53034792268826034494915.8%
custom 5427168083074628963227.10%
custom 5197630131534836123165.16%
custom 5332263865772158521113.55%
custom 535083070445008699361.94%
custom 537542623839755337061.94%
custom 539758446430389116151.61%

Custom emoji. Every row above is a Telegram custom emoji, which the public preview renders as an element carrying only a numeric id — no character, and no image we can reach. The id is printed as-is rather than substituted with a look-alike glyph, because a stand-in would be our invention showing where a measurement should be. The counts beside them areTelegram’s.

No sentiment is inferred, and none should be read in. This table is ordered by count and by nothing else. Emoji do not carry stable meaning across languages or communities — 🙏 is thanks in one channel and mourning in another — so we publish which ones were pressed and how often, and pass no judgement on what an audience meant by them.

Precision. Telegram publishes reaction counts per emoji and short-forms each one — 4.34K, 1.2M — so any single kind at or above 1,000 reaches us at three significant figures, and only counts below 1,000 are exact. The shares above are ratios of those figures and carry the same error. This is also why the total here can differ slightly from a reaction total printed elsewhere on the page: both are sums of the same rounded parts, taken over samples with different edges.

Coverage. Reactions were read on 17 of the 17 sampled posts in this sample. Summed by Telegram’s own count on each post — not by adding up the per-emoji breakdown above — those same posts carry 310reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 17 most recent posts we hold, published 10 March 2026 to 23 July 2026, using the newest reading held for each. Telegram Stars are excluded: they are a payment, not a reaction, and they have their own section.

Telegram Stars

Stars received
5
across the posts below
Posts paid on
2
of 17 we hold a reading for · 12%
Most on one post
3
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @bft_prodata. Telegram publishes the count on the public post preview alongside ordinary reactions, and this register reads it there. It is the only figure on this site that measures money moving rather than attention.

Stars are not reactions, and the two are never added. They are rendered in the same strip on Telegram and counted in the same shape, but one is a tap and the other is a purchase. The reaction totals and the engagement rate elsewhere on this page exclude every figure in this section, and no rate here is computed against a reaction count.

This is not revenue, and we publish no currency figure. What a Star costs a reader and what it pays a channel are different numbers, Telegram takes a share we cannot observe, and the terms have changed. Converting a Star count into money would be an estimate dressed as a measurement, so the count is where we stop.

Counted over the 17 most recent posts we hold for this entry, published 10 March 2026 to 23 July 2026. Star counts above 1,000 reach us in Telegram’s short form and carry the same three-significant-figure rounding as everything else on this page.

Recent posts

23 Jul 2026, 07:21 UTC144 views19 reactionsread 7 August 2026
Photo

🔴 БФТ-Холдинг представил новую версию MDM-системы «БФТ.ЕНСИ»: ИИ, качество данных и автоматизация процессов БФТ-Холдинг выпустил масштабное обновление флагманской системы управления мастер-данными «БФТ.ЕНСИ». Новая версия направлена на повышение эффективности всей цепочки работы с НСИ: от первичной загрузки до использования в сквозных бизнес-процессах. Ключевые тезисы обновления: ⏩ Искусственный интеллект: В процес

custom 53530256088320046537custom 53034792268826034495custom 53975844643038911613custom 53978016006705073933custom 53754262383975533701

23 Jul 2026, 05:30 UTC124 views13 reactionsread 7 August 2026
Photo

Работа с данными становится самостоятельным направлением цифровизации банков Банковские ИТ-системы становятся сложнее, а требования к качеству данных – выше. Сегодня мастер-данные влияют не только на корректность отдельных процессов, но и на устойчивость интеграций, качество аналитики, выполнение регуляторных требований и скорость запуска новых цифровых сервисов. Эта тенденция нашла отражение в новой карте TAdviser

custom 53978016006705073935custom 53034792268826034494custom 51976301315348361233custom 53235471566304834031

14 Jul 2026, 08:37 UTC217 views23 reactionsread 7 August 2026
Photo

📊 Управление данными нового уровня: как дата-сторителлинг превращает сырую аналитику в управленческие решения Компании инвестируют в BI-системы и нанимают аналитиков, но на планёрках всё равно спорят, как трактовать одни и те же метрики. Проблема редко в качестве данных. Проблема в подаче. Отчёт в формате «сырой выгрузки» рождает дискуссии о методологии, а не управленческие решения. На смену статичным дашбордам при

custom 542716808307462896310custom 53978016006705073937custom 53530256088320046533custom 53322638657721585212custom 53754262383975533701

6 Jul 2026, 13:00 UTC268 views18 reactionsread 7 August 2026
Photo

«Галактика» в подкасте БФТ «Данные решают»: как ERP помогает сохранять данные и получать бизнес-эффекты 🔥 В новом выпуске подкаста «Данные решают» эксперты БФТ-Холдинга вместе с Леонидом Козьминым, заместителем генерального директора по коммерческой деятельности компании «Галактика», нашим технологическим партнером, рассуждают о том, какие сегодня выдвигаются требования к корпоративным ERP-системам. Что показалось

custom 53235471566304834037custom 53978016006705073937custom 54271680830746289634

23 Jun 2026, 08:14 UTC265 views17 reactionsread 7 August 2026
Photo

От хаоса к эталону: как MDM-платформы становятся интеллектуальным ядром управления данными Качественные мастер-данные — основа достоверной аналитики и согласованной работы всех корпоративных систем. Как MDM-платформы помогают крупному бизнесу перейти от хаоса в данных к «единому языку», сохраняя при этом гибкость настроек и наращивая интеллектуальные функции? В интервью TAdviser Максим Зацепин, директор Департамента

custom 539780160067050739311custom 53322638657721585213custom 53530256088320046533

19 Jun 2026, 11:15 UTC243 views22 reactionsread 7 August 2026
Photo

Если данные есть у всех, за счёт чего побеждают лидеры? Взгляд «АстраЗенека» – смотрите новый выпуск «Данные решают» 🔥 В новом эпизоде говорим о том, почему сегодня только наличие хранилища данных, BI-систем и аналитических инструментов уже не гарантирует компании лидерство на рынке. В студии: 🔵Ольга Жирова – ведущий, директор Дирекции управления данными БФТ-Холдинга 🔵Дмитрий Кононов – ведущий, заместитель директо

custom 535302560883200465310custom 53034792268826034497custom 54271680830746289635

10 Jun 2026, 13:00 UTC260 views19 reactionsread 7 August 2026
Photo

🎙 Светлана Бова, CDO ВТБ: данные решают, когда становятся системой – смотрите вторую часть выпуска! Продолжаем беседу о технологиях и практике управления данными со Светланой Бовой, управляющим директором, вице-президентом и Chief Data Officer (CDO) Банка ВТБ, и Максимом Зацепиным, директором Департамента систем управления данными БФТ-Холдинга. Если в первой части эксперты говорили о формировании культуры работы с

custom 53235471566304834037custom 53034792268826034496custom 53530256088320046534custom 53978016006705073932

2 Jun 2026, 05:54 UTC272 views22 reactionsread 7 August 2026
Photo

🎙 Светлана Бова, CDO ВТБ: как превратить работу с данными в культуру, а данные — в инструмент развития бизнеса. Смотрите первую часть! В гостях у Максима Зацепина, директора Департамента систем управления данными БФТ-Холдинга, – Светлана Бова, управляющий директор, вице-президент и CDO (директор по данным), Банк ВТБ. Диалог получился одновременно фундаментальным и прикладным: от обсуждения ценностной роли данных пе

custom 51976301315348361237custom 53034792268826034496custom 53235471566304834036custom 53530256088320046533

25 May 2026, 13:32 UTC305 views13 reactionsread 7 August 2026
Photo

⚡️«Ростелеком» про ИИ, качество данных и нейрошлюз в новом выпуске подкаста БФТ «ПРО Закупки» 🔊 Гость авторского проекта Натальи Зейтениди – Роман Хазеев, директор по развитию цифровых технологий «Ростелекома». Получился полный экспертный разбор темы искусственного интеллекта: где ИИ реально работает, а где магия разбивается, когда встает вопрос об экономической эффективности. Собрали главные тезисы, которые важно

custom 53530256088320046537custom 53322638657721585213custom 53754262383975533703

19 May 2026, 07:52 UTC295 views16 reactionsread 7 August 2026
Photo

👥 Почему для CDO важно умение договориться с бизнесом? CDO (Chief Data Officer) – ключевая фигура в организации процессов управления данными, обеспечивающая высокое качество данных и принятие обоснованных решений. Практика показывает, что успешная data-трансформация начинается с системного внедрения культуры данных и обязательной поддержки со стороны топ-менеджмента. Чтобы быстро доказать ценность инициативы, первые

custom 53235471566304834036custom 53978016006705073936custom 53034792268826034493custom 53975844643038911611

6 May 2026, 11:00 UTC318 views15 reactionsread 7 August 2026
Photo

Цена одного неверного решения часто выше бюджета на весь проект по управлению данными. Но бизнес всё ещё верит в «волшебную таблетку». Дубли клиентов, устаревшая номенклатура, расхождения в отчётности… На уровне «один раз» это кажется поправимым. В масштабе компании – это прямые убытки, сорванные сделки и стратегические промахи. Почему проекты по Master Data Management (MDM) застревают или не дают эффекта? Потому ч

custom 53530256088320046536custom 53978016006705073936custom 54271680830746289633

14 Apr 2026, 06:00 UTC304 views18 reactions3 Starsread 7 August 2026
Photo

Почему 40% ваших данных бесполезны? О Data Quality в MDM Недавно мы рассказывали про «золотую запись» как идеал управления данными. Но чтобы эта запись стала действительно «золотой», нужен фундамент. Этот фундамент — Data Governance (DG), Master Data Management (MDM), Data Quality (DQ). А Data Quality (качество данных) является одним из ключевых элементов. Что такое Data Quality? Под термином «качество данных» под

custom 53034792268826034497custom 53978016006705073937custom 53530256088320046534

Showing the 12 most recent of 17 posts we hold for @bft_prodata. View and reaction counts are the latest single reading for each post, not a live figure, and a recent post is still accumulating both. A view count marked was rounded by Telegram before we ever saw it — t.me prints views in full below 1,000 and to three significant figures above, so ≈1,200,000 means somewhere between 1,150,000 and 1,249,999. Unmarked counts are exact. Text is reproduced from the public post preview and truncated for length.

Stars beside a post are paid reactions — Telegram Stars, bought with money and spent on that post. They are a different unit from reactions and are never added to them, here or anywhere else on this page.

Citation-graph rank

Citation-graph rank — 1,288,698 of 1,550,164entries in the measured graph. A weighted position computed from the forward and mention edges below — republished posts weigh more than named mentions — and recomputed periodically, over the whole graph. Published only as this ordinal position, never as a score: a position is a fact, and a score printed beside one channel’s name would read as a verdict this register does not make. The two counts beneath stay separate for the same reason mentions are never summed with forwards anywhere else on this page — a named-by count costs nothing to manufacture. The top 100 by this measure, or how it is computed.

Mentions

Named by 1 registered channel — every channel on the register whose own posts have named this one, by its current username or any other username it currently holds, merged from two separately captured readings of the same fact so a namer caught by only one of them is not missed and a namer both caught is not counted twice. A username this channel has since dropped is not matched — that handle may belong to someone else now, and crediting today’s namer to yesterday’s owner would misattribute it.

Named by

Channels on the register whose posts name this channel's handle.

Names

Channels on the register whose handles appear in this channel's posts.

A mention is a weaker signal than a forward and is counted separately for that reason — naming a channel is not republishing it, and a handle in a post body is easy to place deliberately. The post counts beside each row below are distinct posts in which the handle appeared, from posts we have read on both sides — the “Named by N registered channels” figure above is a different count, of distinct NAMING CHANNELS rather than posts, and is not the sum of the rows under it.

Cite this entry

A live page changes as we take new readings, so a citation should name the measurement it is based on, not just the URL. The line below cites the subscriber count as measured 15 August 2026 — this entry's latest reading, not the date you are reading this.

“БФТ про данные” (@bft_prodata), 330 subscribers as measured 15 August 2026. Telegram Register, tgregister.com/channel/bft_prodata.

Full measurement history, CC BY 4.0. Every reading this register holds for this entry, not just the latest one, as a dated, downloadable record: CSV · JSON. Free to use with attribution to tgregister.com. Each file carries its own generation timestamp, which is the figure to cite for exactly when the data was retrieved.