Verified data analytics
software data
Identify companies using Microsoft Power BI, Tableau, Looker, Databricks, Qlik Sense and other business intelligence, dashboarding, reporting and data visualisation platforms.
- Verified data analytics contacts
- Power BI, Tableau & Looker users
- Data analyst & CDO data
- CSV or Excel for CRM & ABM
Request Analytics Data
Get verified data analytics contacts for SaaS sales, analytics consulting, BI implementation campaigns, data engineering outreach and ABM targeting.

What is Data Analytics Software data?
Data analytics software data is a technographic database of companies using platforms to analyse business data, build dashboards, visualise reports, monitor KPIs, support self-service analytics, manage BI workflows and improve decision-making across departments. It helps B2B teams identify organisations using Microsoft Power BI, Tableau, Looker, Databricks, Qlik Sense and related business intelligence or analytics tools, while providing platform-level context beyond a generic IT or business contact list. This data helps you understand which companies already operate analytics workflows, which tools they may use and which decision-makers are responsible for dashboards, reporting, data governance, analytics adoption, data modelling, BI strategy and business intelligence transformation. It is useful for BI consultants, SaaS vendors, data engineering firms, cloud data platforms, data governance providers, analytics agencies, ERP consultants, RevOps teams, AI software vendors and ABM teams targeting data-led organisations.
- Verified data analytics software contacts
- Power BI, Tableau, Looker and Qlik Sense users
- Databricks and BI platform usage insights
- Dashboarding and reporting workflow data
- Self-service analytics platform targeting
- Data analysts, BI leaders and CDO contacts
- Data governance and BI transformation signals
- CRM-ready data for SaaS, BI and ABM campaigns
- Verified data analytics software contacts
- Power BI, Tableau, Looker and Qlik Sense users
- Databricks and BI platform usage insights
- Dashboarding and reporting workflow data
- Self-service analytics platform targeting
- Data analysts, BI leaders and CDO contacts
- Data governance and BI transformation signals
- CRM-ready data for SaaS, BI and ABM campaigns
What’s included in the analytics dataset?
Each record in our self-service analytics platform database is structured for sales, marketing, CRM, ABM, data technology outreach and market research workflows.
Contact Name
Job Title & Role
Verified Business Email
Phone
Company Name & Domain
LinkedIn Profile URL
Industry & Business Sector
Revenue & Employee Size
City, State, Country & Region
Analytics Platform Used
Analytics Category
Data can be delivered in CSV or Excel format and prepared for Salesforce, HubSpot, Pipedrive, Zoho CRM, Apollo, Outreach, Salesloft, ABM platforms and marketing automation systems.
Built for data-led outreach
Use verified data analytics contacts to reach companies already using business intelligence, self-service analytics, dashboarding, reporting and data visualisation platforms.
- BI and analytics consultants offering dashboard and reporting support
- Data engineering firms targeting active analytics workflows
- SaaS and AI software vendors reaching analytics-mature companies
- Cloud data platform providers targeting BI and lakehouse users
- Data governance and quality vendors targeting trusted reporting teams
- Analytics agencies targeting BI migration and optimisation projects
- ERP and RevOps teams supporting reporting and data transformation
- ABM teams segmenting by analytics platform, workflow and buyer role
15+ analytics platforms. One database.
Filter by data analytics software, BI platform, region or company size and pull a clean list in minutes.
| Data Analytics Platform | Verified Contacts | Companies | Coverage | Action |
|---|---|---|---|---|
PBMicrosoft Power BIAnalytics #01 | 426k | 85.2k | Global | Get sample → |
TATableauAnalytics #02 | 490k | 98k | Global | Get sample → |
DBDatabricksAnalytics #03 | 96.4k | 19.3k | Global | Get sample → |
GLGoogle LookerAnalytics #04 | 17.5k | 3.5k | Global | Get sample → |
QSQlik SenseAnalytics #05 | 29.1k | 5.8k | Global | Get sample → |
SASAS Analytics / SAS ViyaAnalytics #06 | 5.4k | 1.1k | Global | Get sample → |
ICIBM Cognos AnalyticsAnalytics #07 | 112.1k | 22.4k | Global | Get sample → |
OAOracle Analytics CloudAnalytics #08 | 27.2k | 5.4k | Global | Get sample → |
SCSAP Analytics CloudAnalytics #09 | 15k | 3k | Global | Get sample → |
SNSnowflakeAnalytics #10 | 120k | 24k | Global | Get sample → |
DODomoAnalytics #11 | 12.5k | 2.5k | Global | Get sample → |
MSMicroStrategyAnalytics #12 | 16.4k | 3.3k | Global | Get sample → |
TSThoughtSpotAnalytics #13 | 4k | 799 | Global | Get sample → |
SISisenseAnalytics #14 | 5.3k | 1.1k | Global | Get sample → |
TBTIBCO SpotfireAnalytics #15 | 14.7k | 2.9k | Global | Get sample → |
Analytics data questions, answered
Learn how data analytics software data can support BI consulting, dashboard development, data engineering, cloud analytics and ABM campaigns.
Talk to an expertFind more data analytics software data the way you sell
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data analytics software data
Review the data quality, platform coverage and contact structure before purchasing a full dataset. Get a free sample of verified data analytics contacts with company details, platform usage, data decision-maker information and CRM-ready fields.
Best Fit Use Cases for Data Analytics Software Data
A practical guide for B2B teams that need platform-specific analytics, BI, dashboarding, cloud data and data technology targeting for outreach, ABM, CRM enrichment and market research campaigns.
Where data analytics software data fits best
This dataset is best suited for B2B teams that need to identify companies using analytics, business intelligence, self-service BI, dashboarding, reporting, data visualisation, lakehouse analytics and cloud data platforms.
- Data analytics software lead generation
- Microsoft Power BI customers database targeting
- Companies using Tableau outreach
- Tableau users contact list campaigns
- Looker customers database targeting
- Databricks users contact list outreach
- Qlik Sense customers list campaigns
- Data analysts and CDO email list targeting
- Self-service analytics platform database enrichment
- Companies using business intelligence software targeting
- Verified data analytics contacts outreach
- BI implementation and migration campaigns
- Data governance and quality campaigns
- Cloud data and AI-readiness outreach
- Partner recruitment
- Market research and territory planning
If your offer depends on knowing which analytics or BI platform a company uses, this dataset gives your team a more relevant starting point before launching data technology outreach, BI campaigns or account-based marketing.
How to use data analytics software data for campaigns
Start by selecting the analytics platforms you want to target, such as Microsoft Power BI, Tableau, Looker, Databricks, Qlik Sense, ThoughtSpot, Domo, Sisense or related analytics and BI platforms.
- Select your analytics platform, including Microsoft Power BI, Tableau, Looker, Databricks, Qlik Sense, ThoughtSpot, Domo or Sisense.
- Choose your analytics workflow, such as business intelligence, self-service analytics, dashboards, reporting, data visualisation, embedded BI, data engineering, lakehouse analytics or cloud data workflows.
- Define your buyer roles, including Data Analyst, BI Manager, Chief Data Officer, Analytics Manager, Data Engineer, IT Director, RevOps Manager, Business Intelligence Lead or Head of Data.
- Apply company filters by industry, employee size, revenue range, geography and company type to match your ideal customer profile.
- Launch targeted outreach through cold email, calling, LinkedIn outreach, ABM campaigns, partner recruitment, CRM enrichment, data analytics campaigns or market research.
By filtering data analytics software data by platform, workflow, role, geography and company size, your team can build cleaner segments for BI consulting, dashboard development, data engineering outreach, cloud data offers, governance campaigns and AI-readiness targeting.
Select your analytics platform
Start by choosing the data analytics software users you want to target, including Microsoft Power BI, Tableau, Looker, Databricks, Qlik Sense, ThoughtSpot, Domo, Sisense or related analytics and BI platforms.
Filter by workflow and buyer role
Segment by business intelligence, self-service analytics, dashboards, reporting, data visualisation, embedded BI, data engineering, lakehouse analytics or cloud data workflows, then target Data Analysts, BI Managers, CDOs, Analytics Managers and Data Engineers.
Launch targeted analytics outreach
Apply company filters by industry, employee size, revenue range, geography and company type, then use the final dataset for cold email, calling, LinkedIn outreach, ABM campaigns, CRM enrichment, partner recruitment, data analytics campaigns or market research.
Why Data Analytics Platform Data Matters
Data analytics buyers are not general IT contacts. They are usually connected to decision-making, business reporting, KPI visibility, data quality, dashboard adoption, data governance, cloud data strategy and department-level analytics enablement.
Companies using Microsoft Power BI may be focused on Microsoft-connected dashboards, reporting, Excel integration, Azure analytics and self-service BI adoption, making them relevant for BI consulting and dashboard campaigns.
Companies using Tableau may be focused on visual analytics, enterprise dashboards, business intelligence, embedded reporting and data storytelling, helping vendors align outreach with reporting and visualisation needs.
Looker users may be managing governed BI, semantic modelling, embedded analytics and cloud data workflows, making them suitable for data governance, cloud analytics and embedded BI outreach.
Databricks users may focus on lakehouse analytics, data engineering and machine learning, while Qlik Sense users may manage associative analytics, self-service dashboards, reporting and business discovery.
When your campaign knows which analytics platform a company uses, your message can align with its BI environment, dashboard maturity, cloud data architecture, reporting challenges, data governance needs, analytics adoption gaps or AI-readiness roadmap.
