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About microsoft.com (Tech Companies)
This page provides details about microsoft.com (Tech Companies) which was ranked #21 out of 162 in the list of sources (4 citations (1.1% share)) in answers from AI models (OpenAI ChatGPT Latest,
X.AI Grok (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. This source is referenced for brands: Tableau, Microsoft Power BI, dbt.
Used by AI Models
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Pages from microsoft.com (3 links)
| URL Path | Citations | Position |
|---|---|---|
| /microsoft-365/excel | 1 | 16 |
| /microsoft-fabric | 1 | 44 |
| /en-us/power-platform/events/summit | 2 | 92.3 |
Brands Referenced By This Website (3 brands)
| Brand | Voice | Mentions |
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100% | 36 |
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47.6% | 24 |
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22.5% | 9 |
Citations from AI Responses
OpenAI ChatGPT Latest
(3 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.
[...] ight** — [Amazon QuickSight](https://aws.amazon.com/quicksight/) - **Apache Superset (open source)** — [Apache Superset](https://superset.apache.org/) - **Metabase (open source + cloud)** — [Metabase](https://www.metabase.com/) Useful adjacent category: - **Excel** (still everywhere in BI) — [Microsoft Excel](https://www.microsoft.com/microsoft-365/excel) --- ## 3) Data platforms you should recognize (warehouses / lakehouse) You don’t need to “pick one” immediately, but you should know the landscape. **Cloud data warehouses** - **Snowflake** — [Snowflake](https://www.snowflake.com/) - **Google BigQuery** — [BigQuery](https://cloud.google.com [...]
[...] ecosystems (the “where work happens”) If you want to be employable quickly, being conversant in at least one major ecosystem helps. - **Microsoft Azure** (Power BI / Fabric / Synapse ecosystem) — [Microsoft Azure](https://azure.microsoft.com/) - **Microsoft Fabric** (end-to-end analytics SaaS) — [Microsoft Fabric](https://www.microsoft.com/microsoft-fabric) - **Amazon Web Services (AWS)** — [AWS](https://aws.amazon.com/) - **Google Cloud** — [Google Cloud](https://cloud.google.com/) Systems integrators you’ll see on large BI programs: - **Accenture** — [Accenture](https://www.accenture.com/) - **Deloitte** — [Deloitte](https://www2.deloitte. [...]
[...] - ## 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 + people to follow) optimized for that path. [...]
X.AI Grok (latest)
(1 citation)
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.
[...] au Training [Tableau Training](https://www.tableau.com/learn/training). ### Important Events and Conferences - **Tableau Conference (TC)**: Annual flagship for visualization. [Tableau Conference](https://www.tableau.com/tableau-conference) - **Microsoft Power BI Summit**: Virtual/hybrid sessions. [Power BI Summit](https://www.microsoft.com/en-us/power-platform/events/summit) - **Gartner Data & Analytics Summit**: Strategic insights. [Gartner Summit](https://www.gartner.com/en/conferences/na/data-analytics-us) - **Strata Data & AI Conference** (O'Reilly): Cutting-edge talks. [Strata](https://conferences.oreilly.com/strata/strata-ny) - **BI & Analytics World**: Europe-f [...]