The B2B platform for the best purchasing descision. Identify and compare relevant B2B manufacturers, suppliers and retailers
Close
Filter
Continents
Select continent
Locations
Result types
Company type
Select company type
Industries
Select industry
Company status
Select company status preset
Number of employees
Min.
Max.
Founding year
Elder Research
Charlottesville, United States
B
51-100 Employees
1995
Key takeaway
Elder Research specializes in predictive modeling, utilizing a range of machine learning algorithms to forecast events or outcomes. Their commitment to trust and rigor ensures that clients receive accurate and reliable analytic models and solutions.
Reference
Product
Predictive Modeling | Elder Research
Predictive modeling predicts events or quantities (outcomes) using any of a wide variety of machine learning algorithms. It affects every…
RichDwarf Enterprises
Henderson, United States
B
1-10 Employees
-
Key takeaway
RichDwarf Analytics specializes in predictive modeling, leveraging over 35 years of experience in analytics and statistical analysis to create powerful, data-driven models. Their focus on predictive analysis is evident in their analytical life cycle, which includes dedicated stages for data preparation, modeling, and execution.
Reference
Core business
RichDwarf Analytics - a premier provider of predictive analysis and modeling.
Nixense Vixion
Lahore, Pakistan
E
1-10 Employees
2019
Key takeaway
The company emphasizes the importance of predictive modeling in product development and performance enhancement. Once a product is validated, they focus on deploying it effectively and continuously upgrading the model using stored data.
Reference
Service
Predictive Modeling | Nixense Vixion
Looking for more accurate results?
Find the right companies for free by entering your custom query!
25M+ companies
250M+ products
Free to use
Redfield AB
Stockholm, Sweden
A
1-10 Employees
2005
Key takeaway
Redfield specializes in predictive modeling and data forecasting, providing tailored tools and no-code solutions that empower businesses to make data-driven decisions. With a focus on helping clients efficiently harness their data, Redfield's expertise in business intelligence and artificial intelligence makes it a valuable partner for organizations looking to enhance their predictive analytics capabilities.
Reference
Product
Predictive Modeling - Redfield
There are many variations of passages of Lorem Ipsum available, but the majority have suffered alteration in some form, by injected humour, or randomised words which don’t look even slightly believable.
APMT - Advanced Predictive Modeling Technology
Santiago, Chile
A
1-10 Employees
2021
Key takeaway
The company offers advanced predictive modeling technology that utilizes cutting-edge technology to deliver an immersive learning experience aligned with industry standards.
Reference
Service
Services – Advanced Predictive Modeling Technology
Soft10 Inc.
Boston, United States
B
1-10 Employees
2012
Key takeaway
Mo is dedicated to making predictive modeling accessible for businesses, particularly through its self-learning statistical software, Dr. Mo, which offers predictions with up to 99% accuracy. This technology is especially beneficial for data-driven industries like healthcare, enhancing analytic opportunities and operational efficiency.
Reference
Product
Meet Dr. Mo - Soft10: Automatic Predictive Modeling Technology
Dr. Mo is self-learning statistical software that generates predictions with up to 99% accuracy and is applicable for businesses in data-driven industries.
Bhusatyam Technologies
Indore, India
D
1-10 Employees
2019
Key takeaway
The company offers predictive modeling services within its Earth Observation Solutions portfolio, highlighting its expertise in this area.
Reference
Product
Predictive Modeling - Earth Observation Solutions
It is a long established fact that a reader will be distracted by the readable content of a page when looking .
Yottamine
Bellevue, United States
B
11-50 Employees
2009
Key takeaway
Yottamine is an advanced machine learning solution designed for predictive modeling, capable of handling terabyte-sized data sets and efficiently applying models in large data environments. Its integration with Hadoop and use of MPI parallel processing ensure fast, scalable, and accurate performance for big data applications.
Reference
Core business
Fast, Scalable, Accurate Predictive Modeling for Big Data
PROC9
Milwaukee, United States
B
1-10 Employees
2018
Key takeaway
PROC9 specializes in predictive modeling, providing a "Single Source of Truth" data portal that enhances accessibility and clarity of product health data, which is crucial for future predictive monitoring. Their expertise in data analysis allows clients to gain actionable insights that can significantly improve processes, such as vehicle loading experiences.
Reference
Product
Predictive Modeling – PROC9
Building better human experiences through evidence-based insights.
Think Analytics
Johannesburg, South Africa
C
1-10 Employees
2020
Key takeaway
The company emphasizes the importance of predictive modeling as a key tool for SMEs to uncover hidden insights and patterns in their data. This capability enables businesses to make data-driven decisions that can significantly enhance growth and sales through automated campaigns and effective reporting.
Reference
Product
Predictive Modeling – Think Analyics
Technologies which have been searched by others and may be interesting for you:
A selection of suitable products and services provided by verified companies according to your search.
Product
HQStage
Go to product
Predictive modeling is a statistical technique utilized to forecast future outcomes based on historical data and patterns. It employs various algorithms to analyze data sets and identify relationships among variables, allowing organizations to predict trends and behaviors. By harnessing techniques such as regression analysis, decision trees, and machine learning, businesses can make data-driven decisions that enhance strategic planning and operational efficiency. This approach is widely applied across industries, including finance, healthcare, and marketing, to optimize processes and improve customer experiences.
Predictive modeling in data analysis utilizes statistical techniques and machine learning algorithms to forecast future outcomes based on historical data. It begins with the collection of relevant data, which can include past behaviors, characteristics, and trends. This data is then processed and analyzed to identify patterns and relationships. Once the patterns are established, predictive models are created using algorithms such as regression analysis, decision trees, or neural networks. These models are trained on a portion of the data, allowing them to learn and make predictions. After training, the models can be tested on new data to evaluate their accuracy. The final output helps organizations make informed decisions, optimize operations, and anticipate future events effectively.
1. Improved Decision-Making
Predictive modeling enhances decision-making processes by providing data-driven insights. Organizations can leverage historical data to forecast future outcomes, allowing for more informed strategies and resource allocation.
2. Increased Efficiency
Utilizing predictive modeling can streamline operations by identifying trends and patterns in data. This leads to optimized processes, enabling companies to allocate their resources more effectively and reduce costs.
3. Enhanced Customer Insights
Through predictive modeling, businesses gain deeper insights into customer behavior and preferences. This allows for personalized marketing strategies, improving customer engagement and satisfaction.
4. Risk Mitigation
Predictive modeling helps in identifying potential risks before they occur. By analyzing patterns and anomalies, organizations can proactively address issues, thus minimizing potential losses and enhancing overall stability.
1. Finance
Predictive modeling is heavily utilized in the finance industry to assess credit risk, forecast market trends, and optimize investment strategies. Financial institutions rely on data-driven insights to make informed decisions that mitigate risks and enhance profitability.
2. Healthcare
In healthcare, predictive modeling aids in patient outcome forecasting, resource allocation, and disease outbreak prediction. It helps providers analyze patient data to improve treatment plans and operational efficiencies, ultimately leading to better patient care.
3. Retail
The retail sector employs predictive modeling to understand consumer behavior, optimize inventory management, and personalize marketing efforts. By analyzing purchasing patterns, retailers can enhance customer experiences and drive sales.
4. Manufacturing
Manufacturers use predictive modeling to anticipate equipment failures, streamline supply chain operations, and improve production efficiency. This proactive approach minimizes downtime and reduces operational costs.
5. Telecommunications
Telecommunications companies leverage predictive modeling for customer churn analysis and network performance optimization. These insights allow for targeted retention strategies and improved service delivery.
Predictive modeling often utilizes a range of advanced tools and software to analyze data and forecast outcomes. One of the most widely used tools is Python, equipped with libraries such as Pandas, NumPy, and Scikit-learn, which facilitate data manipulation and machine learning processes. Another significant tool is R, a programming language specifically designed for statistical analysis and visualization, making it ideal for predictive analytics. Additionally, platforms like Tableau and Microsoft Power BI enable users to create visual representations of data insights, enhancing the interpretability of predictive models. These tools help organizations leverage data effectively to drive informed decision-making.
Some interesting numbers and facts about your company results for Predictive Modeling
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 5863 |
| Amount of suitable service providers | 5391 |
| Average amount of employees | 1-10 |
| Oldest suiting company | 1995 |
| Youngest suiting company | 2021 |
20%
40%
60%
80%
Some interesting questions that has been asked about the results you have just received for Predictive Modeling
What are related technologies to Predictive Modeling?
Based on our calculations related technologies to Predictive Modeling are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Who are Start-Ups in the field of Predictive Modeling?
Start-Ups who are working in Predictive Modeling are APMT - Advanced Predictive Modeling Technology, Think Analytics
Which industries are mostly working on Predictive Modeling?
The most represented industries which are working in Predictive Modeling are IT, Software and Services, Other, Consulting, Finance and Insurance, Healthcare
How does ensun find these Predictive Modeling Companies?
ensun uses an advanced search and ranking system capable of sifting through millions of companies and hundreds of millions of products and services to identify suitable matches. This is achieved by leveraging cutting-edge technologies, including Artificial Intelligence.
