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About en.wikipedia.org (Charity & Non-profit)
This page provides details about en.wikipedia.org (Charity & Non-profit) which was ranked #6 out of 162 in the list of sources (7 citations (4.7% share)) in answers from AI models (OpenAI ChatGPT Latest) when they were asked the following 1 question: "If I'm looking to get into Analytics & BI, who and what should I know about? Include the most trusted brands, recommended products and services, reputable companies and providers, influential experts and reviewers to follow, helpful communities and resources, important events and conferences, notable startups disrupting the space, and key publications and media channels to stay informed." on Dec 30, 2025 by AI Chat Watch.
Used by AI Models
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Pages from en.wikipedia.org (7 links)
| URL Path | Citations | Position |
|---|---|---|
| /wiki/Business_intelligence | 1 | 1 |
| /wiki/SQL | 1 | 2 |
| /wiki/Data_warehouse | 1 | 3 |
| /wiki/Extract,_transform,_load | 1 | 5 |
| /wiki/Data_quality | 1 | 7 |
| /wiki/Data_visualization | 1 | 8 |
| /wiki/Business_intelligence_analyst | 1 | 94 |
Citations from AI Responses
OpenAI ChatGPT Latest
(7 citations)
If I'm looking to get into Analytics & BI, who and what should I know about? Include the most trusted brands, recommended products and services, reputable companies and providers, influential experts and reviewers to follow, helpful communities and resources, important events and conferences, notable startups disrupting the space, and key publications and media channels to stay informed.
## 1) Core concepts to get fluent in (the “what”) - **Business intelligence (BI)**: reporting + dashboards for decisions — [Wikipedia: Business intelligence](https://en.wikipedia.org/wiki/Business_intelligence) - **Analytics** (descriptive → predictive) — [Wikipedia: Analytics](https://en.wikipedia.org/wiki/Analytics) - **SQL** (non‑negotiable) — [Wikipedia: SQL](https://en.wikipedia.org/wiki/SQL) - **Data warehousing** — [Wikipedia: Data warehouse](https://en.wikipedia.org/wiki/Data_warehouse) - [...]
[...] *Business intelligence (BI)**: reporting + dashboards for decisions — [Wikipedia: Business intelligence](https://en.wikipedia.org/wiki/Business_intelligence) - **Analytics** (descriptive → predictive) — [Wikipedia: Analytics](https://en.wikipedia.org/wiki/Analytics) - **SQL** (non‑negotiable) — [Wikipedia: SQL](https://en.wikipedia.org/wiki/SQL) - **Data warehousing** — [Wikipedia: Data warehouse](https://en.wikipedia.org/wiki/Data_warehouse) - **Dimensional modeling** (star schemas, facts/dimensions) — [Kimball Group](https://www.kimballgroup.com/) - **ETL / ELT** — [Wikipedia: Extract, transform, load](https://en.wikipedia.org/wik [...]
[...] ct,_transform,_load) - **Semantic layer / metrics layer** (consistent business definitions) — [dbt Semantic Layer docs](https://docs.getdbt.com/docs/use-dbt-semantic-layer) - **Data governance** — [Wikipedia: Data governance](https://en.wikipedia.org/wiki/Data_governance) - **Data quality** — [Wikipedia: Data quality](https://en.wikipedia.org/wiki/Data_quality) - **Data visualization** (perception, chart choices, storytelling) — [Wikipedia: Data visualization](https://en.wikipedia.org/wiki/Data_visualization) --- ## 2) Most trusted brands (BI & dashboarding) These are the most common “default choices” you’ll run into in real orgs: - **Microsoft Po [...]
[...] .com/docs/use-dbt-semantic-layer) - **Data governance** — [Wikipedia: Data governance](https://en.wikipedia.org/wiki/Data_governance) - **Data quality** — [Wikipedia: Data quality](https://en.wikipedia.org/wiki/Data_quality) - **Data visualization** (perception, chart choices, storytelling) — [Wikipedia: Data visualization](https://en.wikipedia.org/wiki/Data_visualization) --- ## 2) Most trusted brands (BI & dashboarding) These are the most common “default choices” you’ll run into in real orgs: - **Microsoft Power BI** — [Power BI](https://powerbi.microsoft.com/) - **Tableau** — [Tableau](https://www.tableau.com/) - **Qlik** — [Qlik](https://www.qlik.com/) [...]
[...] www.forrester.com/) - **G2** (crowd reviews) — [G2](https://www.g2.com/) - **Capterra** (reviews) — [Capterra](https://www.capterra.com/) --- ## If you tell me 3 things, I can tailor a “who/what to learn” map 1) Your target role: **BI analyst**, **analytics engineer**, or **BI developer** — [Wikipedia: Business intelligence analyst](https://en.wikipedia.org/wiki/Business_intelligence_analyst) 2) Your likely ecosystem: **Microsoft** ([Microsoft](https://www.microsoft.com/)), **Google Cloud** ([Google Cloud](https://cloud.google.com/)), **AWS** ([AWS](https://aws.amazon.com/)) 3) Your industry (finance/health/ecomm/SaaS/etc.) Then I’ll suggest a tight learning path (tools + projects [...]
[...] a: Business intelligence](https://en.wikipedia.org/wiki/Business_intelligence) - **Analytics** (descriptive → predictive) — [Wikipedia: Analytics](https://en.wikipedia.org/wiki/Analytics) - **SQL** (non‑negotiable) — [Wikipedia: SQL](https://en.wikipedia.org/wiki/SQL) - **Data warehousing** — [Wikipedia: Data warehouse](https://en.wikipedia.org/wiki/Data_warehouse) - **Dimensional modeling** (star schemas, facts/dimensions) — [Kimball Group](https://www.kimballgroup.com/) - **ETL / ELT** — [Wikipedia: Extract, transform, load](https://en.wikipedia.org/wiki/Extract,_transform,_load) - **Semantic layer / metrics layer** (consistent business definitions) [...]
[...] n‑negotiable) — [Wikipedia: SQL](https://en.wikipedia.org/wiki/SQL) - **Data warehousing** — [Wikipedia: Data warehouse](https://en.wikipedia.org/wiki/Data_warehouse) - **Dimensional modeling** (star schemas, facts/dimensions) — [Kimball Group](https://www.kimballgroup.com/) - **ETL / ELT** — [Wikipedia: Extract, transform, load](https://en.wikipedia.org/wiki/Extract,_transform,_load) - **Semantic layer / metrics layer** (consistent business definitions) — [dbt Semantic Layer docs](https://docs.getdbt.com/docs/use-dbt-semantic-layer) - **Data governance** — [Wikipedia: Data governance](https://en.wikipedia.org/wiki/Data_governance) - **Data quality** — [Wikipedia: Data qu [...]