01BUYER CONTEXT
Predictive analytics buyers are not general data contacts. They own forecasts, data science, ML, statistical models, customer insight, risk analytics and AI readiness.
PREDICTIVE ANALYTICS SOFTWARE DATA
AI & ANALYTICS · TECHNOLOGY USERS EMAIL LIST
Predictive Analytics Users Email List: Verified Contacts for Microsoft Azure Machine Learning & More
Verified predictive analytics contacts for companies using SAS Analytics, IBM SPSS, DataRobot, Alteryx, RapidMiner, predictive modelling, forecasting, data science and machine learning analytics platforms.
100 verified predictive analytics contacts. Delivered inside two business hours.
- 415kVerified Contacts
- 95%Accuracy Rate
- 60+Countries
- 45 daysRefresh Cycle
Build the segment first, then give us the email
Build your free technology sample. Add a filter or two.
YOUR SEGMENTtechnology contacts
COMPANYLOCATIONSTACK
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THERE IS NO PUBLIC TECHNOLOGY SAMPLE · NAMES, CONTACTS AND YOUR FILTERED COUNT COME WITH THE FREE SAMPLE
WHAT IT IS
What information is included in the dataset?
Each record is set up for sales, marketing, CRM and ABM work. It also suits analytics consulting outreach and market research.
WHY PREDICTIVE ANALYTICS PLATFORM DATA MATTERS
02SAS USERS
A SAS user often focuses on statistical models, risk, forecasts, fraud or industry decision tools.
03IBM SPSS
An IBM SPSS user often runs statistics, research, survey data and predictive models.
04DATAROBOT
A DataRobot user often focuses on building and deploying AI models, AutoML and model rules.
05ALTERYX
An Alteryx user often runs analytics automation, data prep and self-service workflows.
06RAPIDMINER
A RapidMiner user often focuses on ML workflows, predictive models and data mining.
07BETTER OUTREACH
Know the tool, and your message can fit the buyer. You can speak to their models, data science flow, AI maturity, forecasts, model rules, data prep gaps and ML plans.
Request a free sampleNO CARD · NO OBLIGATION · 45-DAY FRESHNESS CYCLE
WHAT YOU GET
What information is included in the dataset?
3GROUPS
/33ITEMS
CUT BY FIELDS ON EVERY RECORD
Fields on every record
- Contact Name
- Job Title and Seniority
- Verified Business Email
- Phone
- Company Name and Website Domain
- LinkedIn Profile URL
- Industry and Business Sector
- Revenue and Employee Size
- City, State, Country and Region
- Platform Used and Analytics Category
CUT BY PLATFORMS COVERED
Platforms covered
- Microsoft Azure Machine Learning
- Amazon SageMaker
- Google Vertex AI
- SAS Viya
- IBM SPSS Modeler
- Alteryx
- DataRobot
- Dataiku
- Databricks ML + Lakehouse
- H2O.ai
- SAP Analytics Cloud
- Oracle Analytics Cloud
- Altair AI Studio RapidMiner
- Tableau Predictive + ML Features
- ThoughtSpot
CUT BY BUILT FOR AI, ANALYTICS AND DATA GROWTH TEAMS
Built for AI, analytics and data growth teams
- AI and machine learning vendors
- Analytics consultants and advisory firms
- MLOps and AI governance providers
- Data engineering firms
- Cloud data and BI platforms
- SaaS sales and analytics platform teams
- ABM and demand generation teams
- Market research and territory planning teams
Fields on every record10
- Contact Name
- Job Title and Seniority
- Verified Business Email
- Phone
- Company Name and Website Domain
- LinkedIn Profile URL
- Industry and Business Sector
- Revenue and Employee Size
- City, State, Country and Region
- Platform Used and Analytics Category
Platforms covered15
- Microsoft Azure Machine Learning
- Amazon SageMaker
- Google Vertex AI
- SAS Viya
- IBM SPSS Modeler
- Alteryx
- DataRobot
- Dataiku
- Databricks ML + Lakehouse
- H2O.ai
- SAP Analytics Cloud
- Oracle Analytics Cloud
- Altair AI Studio RapidMiner
- Tableau Predictive + ML Features
- ThoughtSpot
Built for AI, analytics and data growth teams8
- AI and machine learning vendors
- Analytics consultants and advisory firms
- MLOps and AI governance providers
- Data engineering firms
- Cloud data and BI platforms
- SaaS sales and analytics platform teams
- ABM and demand generation teams
- Market research and territory planning teams
FIG. 1 The ways a technology user record can be segmented, as described on this page. Name the cut you need and a data specialist builds it into your free sample.
PREDICTIVE ANALYTICS DATA COVERED
15+ predictive analytics platforms. One database.
Filter by predictive analytics software, machine learning platform, region or company size and pull a clean list in minutes.
| Platform | List | Contacts | Companies | Coverage |
|---|---|---|---|---|
| Microsoft Azure Machine Learning | Microsoft Azure Machine Learning Users Email List | 33.6k | 6.7k | Global |
| Amazon SageMaker | Amazon SageMaker Users Email List | 43.7k | 8.7k | Global |
| Google Vertex AI | Google Vertex AI Users Email List | 12k | 2.4k | Global |
| SAS Viya | SAS Viya Users Email List | 5.4k | 1.1k | Global |
| IBM SPSS Modeler | IBM SPSS Modeler Users Email List | 2.9k | 575 | Global |
| Alteryx | Alteryx Users Email List | 31.2k | 6.2k | Global |
| DataRobot | DataRobot Users Email List | 3k | 592 | Global |
| Dataiku | Dataiku Users Email List | 6k | 1.2k | Global |
| Databricks ML + Lakehouse | Databricks ML + Lakehouse Users Email List | 97.4k | 19.5k | Global |
| H2O.ai | H2O.ai Users Email List | 2.5k | 509 | Global |
| SAP Analytics Cloud | SAP Analytics Cloud Users Email List | 15k | 3k | Global |
| Oracle Analytics Cloud | Oracle Analytics Cloud Users Email List | 27.2k | 5.4k | Global |
| Altair AI Studio RapidMiner | Altair AI Studio RapidMiner Users Email List | 1.6k | 329 | Global |
| Tableau Predictive + ML Features | Tableau Predictive + ML Features Users Email List | 130k | 26k | Global |
| ThoughtSpot | ThoughtSpot Users Email List | 4k | 799 | Global |
Request a free sampleNO CARD · NO OBLIGATION · 45-DAY FRESHNESS CYCLE
HOW IT WORKS
How to build your Predictive Analytics list
Do your buyers use predictive analytics, data science, forecasting or ML analytics tools? Then this list helps you reach them first.
Select your analytics platform
Pick the tool your buyers use. Choose SAS Analytics, IBM SPSS, DataRobot, Alteryx, RapidMiner, KNIME, H2O.ai or TIBCO Data Science.
Filter by workflow and buyer role
Pick the work, such as forecasts, risk or fraud models, customer analytics or data prep. Then pick the roles you want, from data scientists to the Chief Analytics Officer.
Build and launch targeted outreach
Narrow by industry, size, revenue and region. Then use the list for cold email, calls, LinkedIn, ABM, partner outreach, CRM updates or research.
- Verified predictive analytics contacts
- SAS, IBM SPSS and DataRobot users
- Data scientist and analytics buyer roles
- Free 100-record sample list
THE COMPLETE GUIDE
Best Fit Use Cases for Predictive Analytics Software Data
A short guide for B2B teams that sell into predictive analytics, data science and ML.
01
Best fit use cases for predictive analytics data
This list suits B2B teams that need to reach companies by their analytics tools. Sales, marketing, ABM and analytics teams use it to reach firms on predictive modelling, statistics, forecasting and advanced analytics tools.
It works well for predictive analytics software lead generation. Teams use it for a SAS customers database, companies using SAS analytics, an IBM SPSS users list, a DataRobot customers database, an Alteryx users contact list and a RapidMiner customers database.
You can also build a data scientists email list B2B or a Chief Analytics Officer contact database. It covers a machine learning analytics platform users list and companies using predictive modeling software. Use it for MLOps and AI governance, analytics upgrades, data engineering, partner recruitment and research.
02
How to use predictive analytics software data
First, pick your analytics tool. Choose SAS Analytics, IBM SPSS, DataRobot, Alteryx, RapidMiner, KNIME, H2O.ai or TIBCO Data Science.
Next, pick the work. That could be predictive models, statistics, ML analytics, forecasts, risk or fraud scores, customer analytics, data prep or AI governance. Then pick the roles: data scientist, Chief Analytics Officer, CDO, analytics or data science manager, ML engineer, BI manager or head of data.
Last, narrow by industry, size, revenue, region and company type. Use the list for cold email, calls, LinkedIn, ABM, partner outreach, CRM updates or research.
FAQS
Questions, answered honestly
Straight answers about how the data is built, checked and delivered.
It is a verified B2B list of companies that use predictive modelling, statistics, ML analytics, forecasting and data science tools. Each record has company details, buyer contacts, the tool in use, industry and location. It is ready to load into a CRM.
Yes. We build it around your industry, region, company size, job titles and goal. It suits analytics consulting, AI governance, model moves, risk analytics and data science offers.
Yes. SAS users suit offers on predictive models, risk, forecasts, fraud, customer analytics, data science, moves and cloud analytics.
Yes. It helps vendors and consultants reach companies that use SPSS for statistics, predictive models, research and survey data.
Yes. It helps AI vendors, MLOps firms and analytics consultants reach companies that use DataRobot for AutoML, models and AI governance.
Yes. It helps vendors reach companies that use Alteryx for data prep, analytics automation and self-service workflows.
Yes. The Azure Machine Learning customers list is a cut of this data, with the people who own predictive models. If the product is niche or legacy, the free 100-record sample shows how many companies we can confirm before you buy anything.
QUESTIONS THAT BRING BUYERS TO THIS PAGE, ANSWERED PLAINLY
Yes. It helps vendors reach companies that use RapidMiner for ML, predictive models, data mining and analytics workflows.
It lists the people who build models. They run predictive models, ML workflows, statistics, data prep, analytics automation and AI work.
It lists senior analytics leads. They own the analytics plan, predictive models, data science, AI readiness, tool choices and data rules.
It lists companies that use DataRobot, RapidMiner, SAS, Alteryx, IBM SPSS and similar tools for models, ML, data mining and automation.
Yes. We find these companies from tool signals, industry, company size, region and role.
Most often as a CSV or Excel file. We can shape it for your CRM, email tool, sales platform or ABM system.
FREE · NO CARD · NO OBLIGATION
Ready to reach predictive analytics software buyers?
Tell us the platform, the industry and the market. We send 100 verified records to judge before you buy.
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