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DA Connected LLC.
Concord, United States
B
1-10 Employees
2021
Key takeaway
The company emphasizes its expertise in predictive analytics, highlighting its commitment to helping businesses make data-driven decisions. With a team of seasoned data experts, they focus on developing strategies that enhance operational efficiency and support growth.
Reference
Service
Predictive Analytics
Predictive
Bang Khun Thian District, Thailand
C
11-50 Employees
2012
Key takeaway
Predictive is a leading digital analytics and customer experience consultancy in Thailand, specializing in delivering measurable results through services like digital analytics and strategy consulting.
Reference
Service
Services - Predictive, Digital Analytics, UX & Strategy Consulting
Predictive Is Here To Help You In C
vcubo
Buenos Aires, Argentina
B
1-10 Employees
2021
Key takeaway
The company offers predictive analytics, utilizing data from real projects and machine learning models to enhance quantitative risk analyses for management teams.
Reference
Service
Predictive analytics - vcubo
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Predictive Layer
Rolle, Switzerland
A
11-50 Employees
2014
Key takeaway
Predictive Layer specializes in auto-machine learning technology focused on time-series analysis, offering robust predictive analytics solutions that enhance decision-making in various industries. Their AI-powered platform, backed by a team of experts and years of operational experience, delivers advanced insights for supply/demand and price forecasting.
Reference
Core business
Predictive Layer – Automated machine learning for analytics forecasts
predictive-insight.com
Caldwell, United States
B
1-10 Employees
-
Key takeaway
The company emphasizes its expertise in Predictive Analytics, particularly for the print industry, and is dedicated to sourcing reliable data to help businesses enhance their operations and competitive edge. Their focus on precise information is integral to building sustainable business practices.
Reference
Core business
Home | Predictive-Insight.com
We believe that building a sustainable business requires precise and accurate information. We are committed to painstakingly sourcing the most reliable, precise data available. Our mission is to help businesses improve the people-to-process ratio.
STAQO
Noida, India
D
251-500 Employees
-
Key takeaway
Staqo emphasizes its commitment to "what lies ahead," highlighting its expertise in predictive analytics to transform data into actionable insights. This focus aids enterprises in addressing challenges like inventory management and distribution network blind spots.
Reference
Product
Predictive Analytics - Staqo
AdPredictive
Minneapolis, United States
B
11-50 Employees
2001
Key takeaway
AdPredictive enhances predictive analytics by providing a predicted ROI score, allowing for valuable customer insights while ensuring compliance with data regulations like GDPR and CCPA. Their platform offers detailed customer profile visualizations derived from both first and third-party data sets.
Reference
Core business
AdPredictive | The Smarter Marketing Company
The Smarter Marketing Company
Prophetia Analytics
Old Toronto, Canada
A
1-10 Employees
2016
Key takeaway
Prophetia Analytics Inc. specializes in providing comprehensive data analytics solutions, which includes the application of predictive analytics to help clients reduce costs, enhance strategic focus, and improve customer retention. Their expertise spans individual projects to enterprise-wide analytics, making them a valuable partner for organizations seeking to leverage data for better decision-making.
Reference
Core business
Prophetia Analytics – Data Analytics Consulting
Data Analytics Consulting
DataScientifix
Rockville, United States
B
11-50 Employees
2015
Key takeaway
DataScientifix specializes in predictive analytics, offering expert knowledge and experience with major machine learning platforms. They aim to empower organizations to leverage data science innovations for enhanced decision-making and business value.
Reference
Core business
DataScientifix - Predictive Analytics for Smarter Organizations.
RigelData Solutions
Pune, India
D
51-100 Employees
2014
Key takeaway
RigelData Solutions positions itself as a key player in Big Data Analytics within the Hadoop Ecosystem, emphasizing its commitment to providing top-tier solutions and services. Their focus on predictive analytics highlights their expertise in leveraging data to help clients achieve their objectives.
Reference
Product
Predictive Analytics – RigelData Solutions
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Predictive analytics involves utilizing statistical algorithms and machine learning techniques to analyze historical data and predict future outcomes. This technology processes large datasets to identify patterns and trends, enabling businesses to make informed decisions based on potential future scenarios. Organizations across various sectors leverage predictive analytics to enhance operations, improve customer experiences, and optimize strategies. By harnessing this technology, businesses can anticipate customer behavior, forecast sales, and mitigate risks, ultimately driving efficiency and growth.
Predictive analytics utilizes statistical algorithms and machine learning techniques to analyze historical data and make forecasts about future events. It begins by gathering and preparing large datasets, which can include structured and unstructured data from various sources. Advanced algorithms then identify patterns and relationships within this data, allowing organizations to predict outcomes with a certain level of accuracy. After the initial analysis, predictive models are developed and validated using a subset of the data. These models can then be applied to new data to generate insights. The results help businesses make informed decisions, optimize operations, and enhance customer experiences by anticipating needs and behaviors. This process is essential for industries such as finance, healthcare, and marketing, where understanding future trends can lead to significant competitive advantages.
1. Improved Decision-Making
Utilizing predictive analytics allows organizations to make informed decisions based on data-driven insights. By analyzing historical data and identifying patterns, businesses can forecast outcomes and strategize effectively.
2. Enhanced Operational Efficiency
Predictive analytics streamlines operations by anticipating potential issues before they arise. This proactive approach reduces downtime and resource wastage, ultimately leading to cost savings and increased productivity.
3. Better Customer Insights
Understanding customer behavior is crucial for businesses. Predictive analytics enables companies to segment their audiences and tailor marketing efforts, improving customer satisfaction and retention rates.
4. Risk Management
Organizations can identify risks early on through predictive analytics. By anticipating market fluctuations and potential disruptions, businesses can develop mitigation strategies, thus safeguarding their assets and reputation.
1. Healthcare
Predictive analytics is widely used in healthcare to forecast patient outcomes, optimize treatment plans, and improve operational efficiency. By analyzing historical data, healthcare providers can identify patterns that lead to better patient care and resource allocation.
2. Retail
In the retail industry, predictive analytics helps businesses understand consumer behavior, manage inventory levels, and personalize marketing strategies. This data-driven approach allows retailers to anticipate demand and enhance customer experiences.
3. Financial Services
Financial institutions utilize predictive analytics to assess risk, detect fraud, and make informed investment decisions. By leveraging past transaction data, they can identify trends and predict future financial behaviors.
4. Manufacturing
Manufacturers apply predictive analytics to optimize production processes, reduce downtime, and improve supply chain management. By forecasting equipment failures or supply shortages, they can enhance operational efficiency.
5. Telecommunications
Telecommunications companies use predictive analytics to churn analysis and customer retention strategies. By understanding customer usage patterns and preferences, they can tailor their services and reduce attrition rates.
Effective predictive analytics requires a variety of data types to generate accurate forecasts. Historical data is crucial, as it provides a foundation for identifying patterns and trends. This may include past sales figures, customer behavior data, and operational metrics. Additionally, real-time data plays a significant role in enhancing predictions, allowing for more responsive and relevant insights. Furthermore, external data sources, such as market trends, economic indicators, and social media sentiment, can enrich the analysis. Integrating these diverse data sets helps predictive analytics models to better understand the context and make informed predictions. The quality and relevance of the data are essential, as they directly impact the accuracy and usefulness of the analytical outcomes.
Some interesting numbers and facts about your company results for Predictive Analytics
| Country with most fitting companies | United States |
| Amount of fitting manufacturers | 8759 |
| Amount of suitable service providers | 7037 |
| Average amount of employees | 11-50 |
| Oldest suiting company | 2001 |
| Youngest suiting company | 2021 |
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Some interesting questions that has been asked about the results you have just received for Predictive Analytics
What are related technologies to Predictive Analytics?
Based on our calculations related technologies to Predictive Analytics are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce
Who are Start-Ups in the field of Predictive Analytics?
Start-Ups who are working in Predictive Analytics are DA Connected LLC., vcubo
Which industries are mostly working on Predictive Analytics?
The most represented industries which are working in Predictive Analytics are IT, Software and Services, Other, Consulting, Marketing Services, Finance and Insurance
How does ensun find these Predictive Analytics 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.
