The United States is home to a thriving market for data modeling services, with numerous companies offering solutions for processing and analyzing complex datasets. This sector garners attention due to its innovative environment, highly skilled professionals, and access to cutting-edge technologies. Data modeling plays a pivotal role in modern business processes, enabling organizations to structure information, forecast trends, and make informed decisions. Selecting a reliable contractor in this field is a critical step for companies aiming to optimize operations and enhance competitiveness. An unsuitable partner may lead to inefficient resource use or inaccurate analytics, underscoring the need for a careful selection process.
This article highlights leading U.S. companies specializing in data modeling, focusing on their services, key features, and contact information. The prospects for data modeling services are promising, with growing data volumes and advancements in artificial intelligence driving demand for high-quality solutions. Organizations that effectively leverage data modeling gain a significant edge in strategic planning and management.
1. A-Listware
We are A-listware, a technology company dedicated to empowering businesses through advanced data solutions and software development. Our expertise lies in crafting structured data frameworks that enable organizations to harness large datasets for strategic decision-making, with a particular focus on delivering data modeling services in the USA. We work closely with clients, including those in the USA, to build schemas that support analytics, predictive modeling, and operational efficiency. Our solutions integrate seamlessly with existing systems, ensuring that data is organized and accessible for real-time insights.
Our approach combines data science, big data technologies, and visualization tools to create models that align with specific business needs. We leverage platforms like Databricks and Apache Hadoop to design scalable data architectures, enabling clients to process complex datasets efficiently. By prioritizing data quality and governance, we ensure that our models support reliable analytics and compliance with industry standards. Our work with American clients spans various sectors, addressing challenges like cost optimization and process improvement through tailored data structures.
נקודות עיקריות:
- Focus on creating scalable data structures for analytics
- Integration with big data processing platforms like Databricks
- Support for data governance to ensure compliance with standards
שירותים:
- Development of structured schemas for predictive analytics
- Creation of data pipelines for real-time processing
- Integration of models with big data platforms
- Data governance for consistent and compliant schemas
פרטי קשר:
- אֲתַר אִינטֶרנֶט: a-listware.com
- אֶלֶקטרוֹנִי: info@a-listware.com
- פייסבוק: www.facebook.com/alistware
- לינקדאין: www.linkedin.com/company/a-listware
- כתובת: נורת' ברגן, ניו ג'רזי 07047, ארה"ב
- מספר טלפון: 1 (888) 337 93 73+
2. TIBCO
TIBCO provides a robust platform specializing in data integration and analytics, enabling organizations to harness complex datasets for strategic decision-making. Its solutions focus on connecting disparate systems and transforming raw information into actionable insights through advanced modeling techniques. The company’s flagship offering, Spotfire, facilitates interactive data visualization and predictive analytics, allowing users to build sophisticated models that uncover patterns and trends. These models support real-time decision-making by integrating data from multiple sources, including IoT devices and enterprise databases.
The platform emphasizes scalability, accommodating both on-premises and cloud environments to meet diverse business needs. TIBCO’s tools enable users to construct data models that streamline processes like demand forecasting and operational optimization. By combining statistical algorithms with machine learning, the company ensures that its modeling capabilities adapt to evolving data landscapes, providing clarity for industries ranging from finance to manufacturing.
נקודות עיקריות:
- Interactive visualization for building dynamic data models
- Scalable architecture supporting hybrid deployment
- Integration with real-time data streams
שירותים:
- Data visualization and model creation
- Predictive analytics for trend forecasting
- Real-time data integration and modeling
- Process automation through data-driven insights
פרטי קשר:
- Website: www.tibco.com
- E-mail: tibco-sales@tibco.com
- Facebook: www.facebook.com/TIBCO
- Twitter: x.com/tibco
- LinkedIn: www.linkedin.com/company/tibco
- Address: 2623 Camino Ramon Suite 200 San Ramon, CA 94583, United States
- Phone: +1 650 846 8748
3. מו סיגמא
Mu Sigma focuses on decision sciences, offering solutions that transform raw data into structured models for business problem-solving. The company specializes in creating frameworks that blend statistical analysis with industry-specific knowledge to generate insights. Its approach involves constructing data models that optimize operations, enhance customer experiences, and inform strategic planning. By leveraging proprietary methodologies, Mu Sigma tailors its services to industries like retail, healthcare, and finance, ensuring relevance and precision.
The firm’s strength lies in its ability to simplify complex datasets into actionable models without requiring extensive coding expertise. It employs advanced analytics to build predictive and prescriptive models, enabling organizations to anticipate market shifts and refine decision-making processes. Mu Sigma’s solutions are designed to be iterative, allowing continuous refinement of models as new data emerges, which supports long-term business agility.
נקודות עיקריות:
- Proprietary methodologies for model development
- Focus on industry-specific analytics
- Iterative modeling for continuous improvement
שירותים:
- Predictive modeling for market analysis
- Prescriptive analytics for decision optimization
- Data transformation and structuring
- Industry-tailored model deployment
פרטי קשר:
- אתר אינטרנט: www.mu-sigma.com
- פייסבוק: www.facebook.com/musigmaofficial
- טוויטר: x.com/musigminc
- לינקדאין: www.linkedin.com/company/mu-sigma
- אינסטגרם: www.instagram.com/musigma_stories
- כתובת: מספר 3400, דרך דנדי, סוויטה 160 נורת'ברוק, אילינוי 60062
- טלפון: 1 847 919 0445+
4. טרדאטה
Teradata delivers a high-performance data management platform, emphasizing scalable solutions for enterprise analytics. Its expertise lies in organizing vast datasets into cohesive models that drive business intelligence. The company’s Vantage platform integrates data warehousing with advanced analytics, enabling the creation of models that support complex queries and predictive insights. These models are designed to handle massive volumes of data, ensuring reliability for organizations with extensive information ecosystems.
Teradata’s solutions prioritize efficiency, allowing seamless integration of structured and unstructured data into unified models. Its tools facilitate rapid model development, supporting use cases like risk assessment and customer segmentation. By leveraging cloud-native architecture, Teradata ensures that its modeling capabilities remain flexible, adapting to both current and future data demands across various sectors.
נקודות עיקריות:
- High-performance data warehousing for modeling
- Cloud-native architecture for flexibility
- Support for complex, multi-dimensional models
שירותים:
- Data warehousing and model integration
- Predictive analytics for risk management
- Customer segmentation modeling
- Scalable data processing and structuring
פרטי קשר:
- אתר אינטרנט: www.teradata.com
- פייסבוק: www.facebook.com/Teradata
- טוויטר: x.com/teradata
- לינקדאין: www.linkedin.com/company/teradata
- אינסטגרם: www.instagram.com/teradata
- Address: 17095 Via del Campo San Diego, CA 92127
- Phone: +1 866 837 2328
5. Alteryx
Alteryx offers an end-to-end analytics platform designed to empower users to build data models without extensive programming knowledge. Its drag-and-drop interface simplifies the creation of workflows that transform raw data into structured models for analysis. The platform excels in data preparation and blending, enabling organizations to construct models that integrate diverse datasets, from spreadsheets to cloud-based repositories. This accessibility makes it a preferred choice for business analysts seeking to derive insights quickly.
The company’s solutions emphasize automation, allowing users to create repeatable models for tasks like forecasting and trend analysis. Alteryx integrates machine learning and spatial analytics into its modeling capabilities, supporting applications such as market planning and operational efficiency. Its focus on user-friendly design ensures that complex modeling tasks are streamlined, reducing the time from data collection to actionable outcomes.
נקודות עיקריות:
- Drag-and-drop interface for model creation
- Automation of repetitive modeling tasks
- Integration of spatial analytics
שירותים:
- Data preparation and model building
- Automated workflow creation for analytics
- Machine learning model deployment
פרטי קשר:
- אתר אינטרנט: www.alteryx.com
- פייסבוק: www.facebook.com/alteryx
- טוויטר: x.com/alteryx
- לינקדאין: www.linkedin.com/company/alteryx
- כתובת: 3347 מייקלסון דרייב סוויטה 400 אירווין, קליפורניה 92612
- טלפון: 1 888 836 4274+
6. Fractal Analytics
Fractal Analytics specializes in AI-driven analytics, focusing on building intelligent models that enhance decision-making. Its platforms leverage machine learning and decision sciences to create models that address specific business challenges, such as demand prediction and risk mitigation. The company’s strength lies in its ability to integrate AI with human expertise, ensuring that models are both accurate and contextually relevant. Its solutions cater to industries like consumer goods and financial services, where precision modeling is critical.
The firm’s approach involves developing scalable models that evolve with changing data patterns, supported by its proprietary tools like Asper.ai. Fractal Analytics emphasizes collaborative model-building, enabling cross-functional teams to refine insights collectively. This focus on adaptability and collaboration ensures that its modeling solutions remain robust in dynamic business environments.
נקודות עיקריות:
- AI-driven modeling for predictive insights
- Scalable platforms for evolving data needs
- Proprietary tools for specialized modeling
שירותים:
- AI-powered predictive modeling
- Decision science model development
- Collaborative data structuring and analysis
- Scalable analytics platform deployment
פרטי קשר:
- אתר אינטרנט: fractal.ai
- Facebook: www.facebook.com/FractalAI
- לינקדאין: www.linkedin.com/company/fractal-analytics
- אינסטגרם: www.instagram.com/lifeatfractal
- Address: Suite 76J, One World Trade Center, New York, NY 10007
7. Databricks
Databricks provides a unified platform that integrates data engineering, analytics, and artificial intelligence, with a strong emphasis on constructing robust data architectures. Its lakehouse model merges the scalability of data lakes with the structured querying capabilities of data warehouses, enabling organizations to build sophisticated data models for diverse analytical workloads. The platform supports the creation of schemas that handle structured, semi-structured, and unstructured data, facilitating seamless data exploration and transformation for business intelligence and machine learning applications. Databricks SQL enhances this capability by allowing analysts to craft precise data models using standard SQL, directly querying large datasets stored in Delta Lake.
The company’s Delta Lake technology ensures reliability in data modeling by enforcing ACID transactions and schema evolution, which supports iterative refinements without compromising data integrity. This enables businesses to develop dynamic models that adapt to changing requirements, such as real-time analytics or predictive modeling. By integrating with tools like Tableau and Power BI, Databricks ensures that its data models are accessible for visualization and reporting, streamlining the path from raw data to actionable insights.
נקודות עיקריות:
- Unified lakehouse architecture combining data lakes and warehouses
- Schema enforcement through Delta Lake for reliable data modeling
- SQL-based querying for accessible data model creation
שירותים:
- Construction of scalable data models for analytics
- Real-time data schema management
- Data transformation for machine learning pipelines
- Query optimization for business intelligence reporting
פרטי קשר:
- אתר אינטרנט: www.databricks.com
- פייסבוק: www.facebook.com/pages/Databricks
- טוויטר: x.com/databricks
- לינקדאין: www.linkedin.com/company/databricks
- כתובת: רחוב ספיר 160, קומה 15, סן פרנסיסקו, קליפורניה 9410
- טלפון: 1-866-330-0121+
8. Cloudera
Cloudera delivers an enterprise data platform focused on managing and analyzing vast datasets across hybrid and multi-cloud environments. Specializing in data management, the company enables organizations to design structured frameworks that organize complex data for analytical and operational purposes. Its platform supports the development of data models that unify disparate sources, such as IoT streams, transactional records, and log files, into cohesive schemas suitable for advanced analytics. Cloudera’s Data Platform (CDP) provides tools to create governed data models, ensuring consistency and security across distributed systems.
The company emphasizes open-source technologies like Apache Hadoop and Apache Spark, which underpin its ability to process and model large-scale data efficiently. Cloudera’s approach to data modeling includes features like schema-on-read flexibility, allowing analysts to define structures dynamically as data is queried. This is particularly useful for exploratory analytics, where evolving data models support rapid experimentation. Additionally, Cloudera’s governance tools ensure that these models adhere to compliance requirements, making them suitable for regulated industries.
נקודות עיקריות:
- Hybrid cloud support for flexible data model deployment
- Schema-on-read capabilities for dynamic data structuring
- Governance tools ensuring model compliance
שירותים:
- Development of unified data schemas across clouds
- Dynamic model creation for exploratory analytics
- Data governance for secure schema management
- Large-scale data processing for analytical models
פרטי קשר:
- אתר אינטרנט: www.cloudera.com
- פייסבוק: www.facebook.com/cloudera
- טוויטר: x.com/cloudera
- לינקדאין: www.linkedin.com/company/cloudera
- כתובת: 3340 Peachtree Road, NE Suite 775 Atlanta, GA 30326
- טלפון: 1 888 789 1488+
9. Tableau
Tableau operates as a leading platform for data visualization and business intelligence, with a focus on transforming raw data into accessible, interactive models for decision-making. Its strength lies in enabling users to build visual data representations that simplify complex datasets, making it easier to identify patterns and trends. Tableau’s data modeling capabilities allow users to create logical structures that connect disparate data sources, such as databases and cloud repositories, into unified views for analysis. These models support self-service analytics, empowering non-technical users to explore data without extensive coding.
The platform’s drag-and-drop interface facilitates the creation of data models by allowing users to define relationships, hierarchies, and calculations directly within the tool. Tableau’s integration with platforms like Databricks enhances its modeling capabilities, enabling real-time querying of large datasets stored in lakehouses. Its ability to handle live connections or in-memory extracts ensures that data models remain current and performant, supporting applications from executive dashboards to operational reporting.
נקודות עיקריות:
- Visual data modeling through intuitive drag-and-drop tools
- Support for live and in-memory data connections
- Integration with lakehouse platforms for scalable models
שירותים:
- Creation of interactive visual data schemas
- Real-time model querying for dynamic insights
- Data source integration for unified analytics
- Hierarchical model design for reporting
פרטי קשר:
- אתר אינטרנט: www.tableau.com
- פייסבוק: www.facebook.com/Tableau
- טוויטר: x.com/tableau
- לינקדאין: www.linkedin.com/company/tableau-software
- כתובת: רחוב מישן 415, קומה 3, סן פרנסיסקו, קליפורניה 94105, ארצות הברית
- טלפון: 1-206-633-3400+
10. ThoughtSpot
ThoughtSpot specializes in AI-driven analytics, offering a platform that leverages search and natural language processing to simplify data exploration. Its approach to data modeling centers on enabling users to query complex datasets intuitively, generating structured insights without requiring deep technical expertise. The platform indexes data stored in lakehouses, such as those powered by Databricks, to create models that support ad-hoc questioning and real-time analysis. This makes it particularly effective for organizations needing flexible, user-driven data exploration.
ThoughtSpot’s technology focuses on delivering hyper-personalized data models that adapt to user queries, ensuring that insights are tailored to specific business needs. Its integration with Delta Lake allows for the creation of indexed schemas that maintain performance and governance, even with large-scale data. By prioritizing search-based access, ThoughtSpot enables rapid iteration of data models, supporting use cases from financial forecasting to customer behavior analysis.
נקודות עיקריות:
- Search-based interface for intuitive model querying
- AI-driven insights for personalized data structures
- Indexing for high-performance model access
שירותים:
- Development of search-optimized data schemas
- AI-assisted model creation for tailored analytics
- Real-time querying of indexed data structures
- Governed data exploration for business insights
פרטי קשר:
- אתר אינטרנט: www.thoughtspot.com
- פייסבוק: www.facebook.com/ThoughtSpot
- טוויטר: x.com/thoughtspot
- לינקדאין: www.linkedin.com/company/thoughtspot
- כתובת: רחוב קסטרו 444, סוויטה 1000, מאונטיין וויו, קליפורניה 94041
- טלפון: (800) 508-7008
11. SAS
SAS provides a comprehensive suite of analytics software, emphasizing advanced statistical modeling and data management for enterprise applications. Its platform is designed to construct intricate data models that support predictive analytics, risk assessment, and operational optimization. SAS’s data modeling tools allow organizations to define complex relationships within datasets, enabling precise forecasting and decision-making. These models are particularly valuable in industries requiring rigorous analysis, such as finance and pharmaceuticals.
The company’s solutions integrate data preparation, modeling, and deployment into a unified workflow, ensuring that models are both accurate and actionable. SAS’s visual analytics tools allow users to refine data structures iteratively, incorporating statistical techniques like regression and clustering. Its platform supports integration with external data sources, enabling the creation of robust models that draw from diverse inputs while maintaining data quality and consistency.
נקודות עיקריות:
- Advanced statistical tools for precise model building
- Integrated workflow for data preparation and deployment
- Support for complex relationship modeling
שירותים:
- Construction of predictive data schemas
- Statistical model development for forecasting
- Data integration for comprehensive analytics
- Model refinement through visual tools
פרטי קשר:
- אתר אינטרנט: www.sas.com
- דוא"ל: askcompliance@sas.com
- פייסבוק: www.facebook.com/SASsoftware
- טוויטר: x.com/SASsoftware
- לינקדאין: www.linkedin.com/company/sas
- כתובת: 100 SAS Campus Drive, קארי, צפון קרוליינה 27513-2414, ארה"ב
- טלפון: 1-800-727-0025+
12. Informatica
Informatica specializes in enterprise data integration and management, providing tools to structure and organize complex datasets for business applications. Its platform enables organizations to create detailed data models that support data warehousing, analytics, and governance. By leveraging its PowerCenter and Intelligent Data Management Cloud, Informatica facilitates the design of logical and physical data schemas that integrate data from diverse sources, such as relational databases, cloud systems, and flat files. These models ensure consistency and accessibility for reporting and decision-making processes.
The company’s solutions emphasize automation in data modeling, allowing users to import existing structures from tools like ERwin or Oracle Designer, reducing manual effort in schema creation. Informatica’s metadata management capabilities enable organizations to maintain traceability and governance over their data models, ensuring compliance and accuracy. Its focus on ETL (Extract, Transform, Load) processes supports the development of dimensional models optimized for analytical environments like data warehouses.
נקודות עיקריות:
- Automated schema import from third-party modeling tools
- Metadata management for model traceability
- Support for dimensional modeling in data warehouses
שירותים:
- Design of logical and physical data schemas
- Data integration for analytical environments
- Metadata governance for model consistency
- ETL processing for data warehouse modeling
פרטי קשר:
- אתר אינטרנט: www.informatica.com
- פייסבוק: www.facebook.com/InformaticaLLC
- לינקדאין: www.linkedin.com/company/informatica
- אינסטגרם: www.instagram.com/informaticacorp
- Address: 2100 Seaport Blvd Redwood City, CA 94063
- טלפון: (650) 385-5000
13. Strategy
Strategy focuses on delivering data management solutions tailored for strategic business planning and analytics. Its platform supports the creation of data frameworks that align with organizational objectives, enabling businesses to model data for forecasting and performance analysis. By providing tools to define relationships and attributes within datasets, Strategy helps users build structured models that support complex queries and reporting, particularly in financial and operational contexts.
The company’s approach integrates data modeling with business intelligence, allowing users to construct schemas that facilitate predictive analytics and scenario planning. Its solutions emphasize flexibility, enabling iterative refinements to data models as business needs evolve. Strategy’s platform supports integration with common databases and BI tools, ensuring that models are accessible and actionable for strategic decision-making.
נקודות עיקריות:
- Flexible schema design for evolving business needs
- Integration with BI tools for actionable models
- Focus on strategic alignment of data structures
שירותים:
- Creation of data schemas for forecasting
- Model design for performance analytics
- Data integration with business intelligence platforms
- Iterative schema refinement for strategic planning
פרטי קשר:
- אתר אינטרנט: www.strategysoftware.com
- דואר אלקטרוני: info@microstrategy.com
- טוויטר: x.com/microstrategy
- לינקדאין: www.linkedin.com/company/microstrategy
- כתובת: 1850 Towers Crescent Plaza Tysons Corner, VA 22182, ארה"ב
- טלפון: 1-703-848-8600+
14. Dataiku
Dataiku provides a collaborative platform for data science and analytics, emphasizing the development of data models for machine learning and business intelligence. Its Data Science Studio (DSS) enables users to construct schemas that organize data for predictive modeling, time-series analysis, and customer segmentation. The platform’s visual flow interface allows both technical and non-technical users to define data structures, making it accessible for building models that support AI-driven insights.
The company’s solutions prioritize governance and explainability in data modeling, ensuring that schemas are transparent and compliant with organizational standards. Dataiku’s AutoML capabilities automate feature selection and model training, streamlining the process of creating data structures for advanced analytics. Its integration with cloud storage and lakehouse platforms enhances scalability, allowing models to handle large, diverse datasets efficiently.
נקודות עיקריות:
- Visual flow interface for accessible model creation
- AutoML for automated schema optimization
- Governance features for transparent data structures
שירותים:
- Development of schemas for machine learning
- Data structuring for time-series analytics
- Model governance for compliance and explainability
- Integration of data models with cloud lakehouses
פרטי קשר:
- אתר אינטרנט: www.dataiku.com
- פייסבוק: www.facebook.com/dataiku
- טוויטר: x.com/dataiku
- לינקדאין: www.linkedin.com/company/dataiku
- Address: 125 West 25th Street New York NY 10001
15. Altair
Altair delivers a suite of analytics solutions through its Knowledge Works portfolio, with a focus on data preparation and predictive modeling. Its Knowledge Studio platform enables users to create structured data models that support advanced analytics, including decision trees and statistical forecasting. By providing a workflow-driven interface, Altair allows analysts to define entities, relationships, and attributes, creating schemas that are optimized for data mining and machine learning applications.
The company’s approach emphasizes in-database analytics, enabling users to build models directly within existing database environments, reducing data movement and improving performance. Altair’s tools support the import and export of models in languages like R and Python, ensuring compatibility with diverse analytical ecosystems. Its visual profiling capabilities further enhance model development by allowing users to explore data characteristics before defining schemas.
נקודות עיקריות:
- Workflow-driven interface for model development
- In-database analytics for efficient schema processing
- Support for R and Python model integration
שירותים:
- Creation of schemas for predictive analytics
- Data model design for decision tree analysis
- In-database schema processing for performance
- Data structuring for statistical forecasting
פרטי קשר:
- אתר אינטרנט: altair.com
- פייסבוק: www.facebook.com/altairengineering
- לינקדאין: www.linkedin.com/company/altair-engineering
- אינסטגרם: www.instagram.com/altairengineering
- Address: 1820 E. Big Beaver Rd. Troy, MI 48083 United States
- טלפון: 1+(248) 614-2400
מַסְקָנָה
The data modeling services segment in the USA is a rapidly evolving field, with companies offering a broad array of solutions for managing complex datasets. These organizations provide tools and services that enable businesses to transform raw information into structured models, supporting analytics, forecasting, and strategic decision-making. Data modeling plays a pivotal role in optimizing processes, enhancing operational efficiency, and ensuring competitiveness in the digital economy.
Partnering with a dependable contractor ensures not only high-quality project execution but also long-term support, which is critical in a landscape of rapidly evolving technologies. The USA remains a global leader in data modeling, providing businesses access to innovative tools and expertise. A well-informed choice of partner in this field unlocks opportunities for sustained growth and successful digital transformation.
