{{ domain.value }}
About microsoft.com (Tech Companies)
This page provides details about microsoft.com (Tech Companies) which was ranked #15 out of 255 in the list of sources (13 citations (1.7% share)) in answers from AI models (OpenAI ChatGPT Latest,
X.AI Grok (latest)) when they were asked the following 3 questions: "What are the best Analytics & BI options available today? Please provide a comprehensive overview including: the leading brands and products, top companies and service providers, recognized experts and thought leaders, promising startups and new market entrants, major industry events and conferences, active communities and forums, and influential publications and media covering this space.", "What does the Analytics & BI industry look like right now? Identify the dominant market leaders and brands, best products and services, key companies and providers, influential figures and thought leaders, emerging startups and trends, major conferences and events, active professional communities, and the top publications and media that cover this industry.", "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: Microsoft Power BI, Tableau, Qlik Sense, Looker, ThoughtSpot +9 more.
Used by AI Models
| Model | Voice | Position | Citations |
|---|---|---|---|
|
|
{{ getInfluenceForBot(bot.id) }} | {{ getPositionForBot(bot.id) }} | {{ getMentionsForBot(bot.id) }} |
Pages from microsoft.com (5 links)
| URL Path | Citations | Position |
|---|---|---|
| /en-us/microsoft-fabric | 7 | 4 |
| /en-us/microsoft-copilot | 2 | 26 |
| /microsoft-365/excel | 1 | 37 |
| /microsoft-fabric | 1 | 94 |
| /en-us/power-platform/events/summit | 2 | 173.4 |
Brands Referenced By This Website (14 brands)
| Brand | Voice | Mentions |
|---|---|---|
|
|
100% | 88 |
|
|
75.4% | 87 |
|
|
35.9% | 52 |
|
|
27.6% | 56 |
|
|
27% | 47 |
|
|
24.5% | 26 |
|
|
20.7% | 38 |
|
|
7.7% | 28 |
| Tableau Conference | 5.9% | 18 |
| Qlik Sense | 4.8% | 11 |
| IBM Cognos Analytics | 3.3% | 10 |
| SAP Analytics Cloud | 3.1% | 9 |
| Google Looker | 2.5% | 8 |
|
|
0.6% | 4 |
Citations from AI Responses
OpenAI ChatGPT Latest
(12 citations)
What are the best Analytics & BI options available today? Please provide a comprehensive overview including: the leading brands and products, top companies and service providers, recognized experts and thought leaders, promising startups and new market entrants, major industry events and conferences, active communities and forums, and influential publications and media covering this space.
[...] dustrial use cases) ### Cloud provider–native BI (tight integration, quick time-to-value) - [Amazon QuickSight](https://aws.amazon.com/quicksight/) (AWS-native; pay-per-session options) - [Looker Studio](https://lookerstudio.google.com/) (formerly Data Studio; lightweight dashboards and sharing) - [Azure (Microsoft Fabric)](https://www.microsoft.com/en-us/microsoft-fabric) (end-to-end analytics platform that tightly pairs with [Power BI](https://powerbi.microsoft.com/)) ### “Modern BI” / operational & collaborative analytics (fast, SQL-centric, cloud-first) - [Sigma Computing](https://www.sigmacomputing.com/) (spreadsheet-like UX on cloud warehouses) - [ThoughtSpot [...]
[...] [InfoQ](https://www.infoq.com/) (architecture + data engineering topics) - [Towards Data Science (Medium)](https://towardsdatascience.com/) (broad data/analytics writing) --- ## 9) Practical “best option” guidance (how teams usually choose) Common winning patterns: - **Microsoft-centric orgs**: [Microsoft Fabric](https://www.microsoft.com/en-us/microsoft-fabric) + [Power BI](https://powerbi.microsoft.com/) - **GCP-centric + governed metrics**: [Looker](https://cloud.google.com/looker) (often alongside [BigQuery](https://cloud.google.com/bigquery)) - **Visualization-first business adoption**: [Tableau](https://www.tableau.com/) - **Warehouse-first self-ser [...]
What does the Analytics & BI industry look like right now? Identify the dominant market leaders and brands, best products and services, key companies and providers, influential figures and thought leaders, emerging startups and trends, major conferences and events, active professional communities, and the top publications and media that cover this industry.
[...] f‑breed stack. The center of gravity is: **cloud data platforms + semantic/metrics layers + governed self‑service BI + AI-assisted analysis**. Key macro-shifts you’ll see across most enterprises: - **Cloud suites becoming default**: BI is increasingly bought as part of larger cloud ecosystems like [Microsoft Fabric](https://www.microsoft.com/en-us/microsoft-fabric), [Google Cloud](https://cloud.google.com/), [AWS](https://aws.amazon.com/), and [Oracle Cloud](https://www.oracle.com/cloud/). - **Lakehouse + open table formats** gaining mindshare: platforms built around the “lakehouse” idea (see [Data lakehouse (Wikipedia)](https://en.wikipedia.org/wiki/Data_la [...]
[...] Research](https://www.forrester.com/). --- ## 2) Dominant market leaders & brands (by segment) ### A) Analytics & BI “front end” platforms (dashboards, exploration, self-service) Commonly short-listed in large organizations: - [Microsoft Power BI](https://powerbi.microsoft.com/) (and the broader [Microsoft Fabric](https://www.microsoft.com/en-us/microsoft-fabric) environment) - [Tableau](https://www.tableau.com/) (Salesforce: [Salesforce](https://www.salesforce.com/)) - [Qlik](https://www.qlik.com/) - [Google Looker](https://cloud.google.com/looker) - [SAP Analytics Cloud](https://www.sap.com/products/technology-platform/analytics-cloud.html) - [IBM Cognos [...]
[...] stacks: - [Snowflake](https://www.snowflake.com/) - [Databricks](https://www.databricks.com/) - [Google BigQuery](https://cloud.google.com/bigquery) - [Amazon Redshift](https://aws.amazon.com/redshift/) - [Azure Synapse Analytics](https://azure.microsoft.com/en-us/products/synapse-analytics/) (and [Microsoft Fabric](https://www.microsoft.com/en-us/microsoft-fabric)) - [Teradata](https://www.teradata.com/) Analytic databases often used for real-time / cost-efficient workloads: - [ClickHouse](https://clickhouse.com/) - [DuckDB](https://duckdb.org/) - [SingleStore](https://www.singlestore.com/) ### C) The “must-have” adjacent layer: transformation, orchestrat [...]
[...] 3) “Best” products/services (how buyers typically define “best” today) “Best” usually depends on the dominant constraint—governance, cost, speed, skill set, or embedding. In practice, buyers tend to choose: - **Best for Microsoft-centric enterprises**: [Power BI](https://powerbi.microsoft.com/) + [Microsoft Fabric](https://www.microsoft.com/en-us/microsoft-fabric) - **Best for enterprise visualization breadth & ecosystem**: [Tableau](https://www.tableau.com/) - **Best for governed modeling + semantic consistency in Google ecosystems**: [Looker](https://cloud.google.com/looker) - **Best spreadsheet-like cloud analysis on warehouses**: [Sigma Computing](https [...]
[...] ntext, I can tailor this map 1) Are you looking at this as a **buyer**, **job seeker**, **investor**, or **builder**? 2) What’s your “home base” platform today (e.g., [Snowflake](https://www.snowflake.com/), [Databricks](https://www.databricks.com/), [BigQuery](https://cloud.google.com/bigquery), [Microsoft Fabric](https://www.microsoft.com/en-us/microsoft-fabric))? 3) Primary use case: finance BI, product analytics, operational analytics, embedded analytics, or real-time? [...]
[...] s**: reducing metric inconsistency and “dashboard drift” via centralized definitions (see [Semantic layer (Wikipedia)](https://en.wikipedia.org/wiki/Semantic_layer)). - **AI copilots embedded into BI**: natural language query, insight explanations, and assisted authoring are now table stakes (e.g., [Microsoft Copilot](https://www.microsoft.com/en-us/microsoft-copilot), [Tableau](https://www.tableau.com/), [Looker](https://cloud.google.com/looker)). - **Governance + privacy pressure**: more emphasis on catalogs, lineage, access controls, and policy-based sharing (see [Data governance (Wikipedia)](https://en.wikipedia.org/wiki/Data_governance)). For “who leads,” [...]
[...] actitioners with large communities: - [Tristan Handy](https://www.tristanhandy.com/) (founder/CEO of [dbt Labs](https://www.getdbt.com/company/)) --- ## 6) Emerging startups & notable trends to watch ### Trends - **AI-assisted BI workflows** (NLQ, automated viz building, narrative explanations): [Microsoft Copilot](https://www.microsoft.com/en-us/microsoft-copilot), [Tableau](https://www.tableau.com/), [Looker](https://cloud.google.com/looker) - **Composable analytics stacks** (swap components around the warehouse/lakehouse): [dbt](https://www.getdbt.com/), [Airbyte](https://airbyte.com/), [Apache Airflow](https://airflow.apache.org/) - **Semantic/metrics co [...]
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 [...]