Telegram RegisterThe public register of Telegram

Channel

Data Sapience

@data_sapience

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

697subscribers

-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-1002570227102
TypeChannel
Username@data_sapience
CreatedBetween 1 March 2025 and 31 July 2025— estimated from Telegram’s id allocation, not measured. How this range is calculated.
First recorded8 August 2026
Last confirmed live8 August 2026
Measurements held3
Confirmed unchanged1 time, most recently 8 August 2026
On Telegramt.me/data_sapience

Growth

697698697.57 Aug 2026, 18:15 — 698 subscribers8 Aug 2026, 02:19 — 698 subscribers8 Aug 2026, 15:25 — 697 subscribers7 Aug 2026, 18:158 Aug 2026, 15:25
3 measurements taken within a single day, 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 697–698 and does not start at zero.
Measurement log — every subscribers count we have recorded
Measured (UTC)SubscribersChange
8 Aug 2026, 15:25697-1
8 Aug 2026, 02:19698no change
7 Aug 2026, 18:15698first reading

Engagement

20 posts held, back to 1 July 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
65.2%
avg views ÷ 697 subscribers
Avg views / post
454
8 posts measured
Reaction rate
1.82%
reactions ÷ views · ER floor
Posts in window
8
of 20 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 7 August 2026
Posts held20 (1 July 20267 August 2026)
Views total3,633
Reactions total66
Forwards / commentsnot exposed by the public surface — not measured, not estimated
Readings taken8 Aug 2026, 02:19 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

157 reactions across 20 posts, in 5 distinct kinds. The most used accounts for 63.1% of them.

Every reaction kind recorded on the sample, most used first
ReactionCountShareShare, drawn
🔥9963.1%
👍4226.8%
👏74.46%
63.82%
31.91%

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 20 of the 20 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 157reactions in total: the kind of figure the paragraph above means by “a reaction total printed elsewhere on the page”.

Measured over the 20 most recent posts we hold, published 1 July 2026 to 7 August 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
2
across the posts below
Posts paid on
1
of 20 we hold a reading for · 5%
Most on one post
2
single highest reading

A paid reaction is a reader spending Telegram Stars — bought with money — on a post by @data_sapience. 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 20 most recent posts we hold for this entry, published 1 July 2026 to 7 August 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

7 Aug 2026, 17:28 UTC155 views10 reactions2 Starsread 8 August 2026
Photo

Data Sapience о рынке Lakehouse: Евгений Вилков комментирует исследование «Кругов Громова» 📊 Аналитический центр «Круги Громова» выпустил исследование «Отечественные решения Data Lakehouse 2026»: рынок преодолел этап пилотов и перешел в фазу промышленных внедрений. Свою оценку дал Евгений Вилков, технический руководитель решений Data Ocean, Data Sapience. О двух путях развития платформ. Рынок разделился на «интегри

🔥62👍2

6 Aug 2026, 12:15 UTC276 views7 reactionsread 8 August 2026
Photo

РСХБ объединил маркетинговые коммуникации для юрлиц на платформе CM Ocean от Data Sapience 🏦 Банк завершил проект по консолидации маркетинговых коммуникаций для корпоративных клиентов и уже получил ощутимый бизнес-эффект: 📈 +50% к числу запускаемых CRM-кампаний без расширения штата; 💰 +30% к эффективности кросс-продаж за счет персонализации. До проекта в РСХБ работали две отдельные системы — классическая и рекоменд

🔥4👍21

4 Aug 2026, 11:26 UTC≈1,230 views11 reactionsread 8 August 2026
Photo

Air Liquide в России завершила импортозамещение системы предиктивной аналитики производства 📊 ⚡️Система позволяет видеть развитие дефектов на ранней стадии и снижать риск внеплановых остановок оборудования. Крупный производитель технических газов Air Liquide заменил зарубежные системы мониторинга оборудования на связку Industrial Ocean от Data Sapience и «Умная диагностика» от Ctrl2GO Solutions. Проект охватил все

👍6🔥5

31 Jul 2026, 10:49 UTC403 views7 reactionsread 8 August 2026
Photo

Data Sapience на практикуме по противодействию отмыванию доходов 2026 🛡 В июне прошел практикум «Защита от блокировок при внедрении цифрового рубля и криптовалют». 🎤Елена Куприянова, директор продукта TALYS.AML, выступила с докладом «AML-процессы ЦР, ЦФА и криптовалюты в условиях новой регуляторной реальности 2026». В докладе была представлена архитектура криптокомплаенса, где банк выступает контрольным шлюзом меж

🔥4👍3

29 Jul 2026, 12:01 UTC344 views6 reactionsread 8 August 2026
Photo

Data Sapience на конференции «ИТ в промышленности 2026» 🏭 🔥 Отраслевая конференция собрала CIO, CDO и руководителей цифровой трансформации крупных производственных холдингов. Фокус — на практике: от импортозамещения ПО до масштабирования ИИ на уровне целых холдингов. Тема конференции — переход от разговоров о цифровизации к ее реальному внедрению — перекликается с нашим опытом в промышленном ИИ. 🌾 В этом году реал

🔥4👍1👏1

20 Jul 2026, 12:30 UTC324 views4 reactionsread 8 August 2026
Photo

Data Sapience — на конференции ЦИПР-2026 👷‍♂️ Вендор принял участие в ведущем деловом мероприятии страны по цифровой экономике, где представил экспертизу в области промышленной аналитики. 🤖 Повестка ЦИПР — промышленный ИИ и платформенный подход к цифровизации производств — напрямую пересекается с практикой вендора. Недавно Data Sapience завершила проект для агрохолдинга «Таврос». Команды разработали корпоративный

🔥3👏1

10 Jul 2026, 15:06 UTC523 views8 reactionsread 8 August 2026
Photo

Ускоряем федеративные запросы в StarRocks ⚡️ 📝 В блоге Data Sapience на Habr вышла новая статья. Когда речь заходит про федеративный доступ к данным, все вспоминают Trino... и часто на этом все. Но федеративные запросы поддерживаются довольно большим количеством СУБД, SQL-движков и систем для виртуализации данных. 🔥 В статье расширяем кругозор читателей и рассматриваем федеративные запросы на примере набирающего п

🔥7👍1

10 Jul 2026, 11:35 UTC396 views7 reactionsread 8 August 2026
Photo

Data Sapience выпустила обновление Data Ocean Flex Loader 🔥 Релиз 2026.3 включает поддержку СУБД ClickHouse в качестве источника и приемника данных и обновление графического интерфейса. Что нового: ⚙️ Поддержка ClickHouse СУБД доступна как источник, так и приемник данных — закрывает один из самых частых запросов клиентов. 📥 Прямая загрузка parquet Файлы parquet загружаются напрямую в Lakehouse-платформу из файлов

🔥4👍3

9 Jul 2026, 14:25 UTC351 views8 reactionsread 8 August 2026
Photo

Data Sapience выпустила обновление модулей CM Ocean Offer и Communication 🚀 Релиз 26.0.0 — новые каналы, оптимизация базы данных и документация прямо в репозитории. Что нового: 📚 Документация в репозитории Руководства, API-контракт, инструкция по миграции, описание параметров конфигурации, Release Notes — все в папке docs, без беготни по вики. ❌ Автодеактивация устаревших предложений Клиенты больше не получают не

🔥6👏2

Showing the 12 most recent of 20 posts we hold for @data_sapience. 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.

Forward network

Republishes

Channels on the register whose posts this channel has forwarded.

Built only from forwarded posts we have actually read, on both sides. Coverage is early and deliberately incomplete: a missing link means we have not read the post that would prove it, never that the relationship does not exist. Counts are distinct forwarded posts observed, so they only ever go up as we read more.

Mentions

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 8 August 2026 — this entry's latest reading, not the date you are reading this.

“Data Sapience” (@data_sapience), 697 subscribers as measured 8 August 2026. Telegram Register, tgregister.com/channel/data_sapience.

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.