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Top Predictive Analytics Companies

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60 companies for Predictive Analytics

DA Connected LLC.'s Logo

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.

Highlighted product

Service

Predictive Analytics

vcubo's Logo

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.

Highlighted product

Service

Predictive analytics - vcubo

Predictive's Logo

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.

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Service

Services - Predictive, Digital Analytics, UX & Strategy Consulting

Predictive Is Here To Help You In C

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Prophetia Analytics's Logo

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.

Highlighted product

Core business

Prophetia Analytics – Data Analytics Consulting

Data Analytics Consulting

AdPredictive's Logo

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.

Highlighted product

Core business

AdPredictive | The Smarter Marketing Company

The Smarter Marketing Company

predictive-insight.com's Logo

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.

Highlighted product

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.

zData Inc.'s Logo

zData Inc.

Town/Village of Harrison, United States

B

101-250 Employees

2010

Key takeaway

Atos zData specializes in delivering advanced predictive analytics solutions through their industry-leading machine learning and data analytics products. Their holistic approach and expertise in Big Data technology enable them to create tailored, scalable solutions that address complex challenges across various industries.

Highlighted product

Service

Predictive Analytics | ATOS zData

Cloudbia Technologies's Logo

Cloudbia Technologies

Dubai South, United Arab Emirates

C

11-50 Employees

2012

Key takeaway

CloudBIA is a global digital solutions provider that specializes in data science and AI solutions, including predictive analytics. Their strategic consulting services are designed to help clients develop effective strategies for digital innovation and transformation.

Highlighted product

Service

Predictive Analytics - Cloudbia

Wovenware's Logo

Wovenware

San Juan, United States

B

51-100 Employees

2003

Key takeaway

Wovenware specializes in developing custom predictive analytics solutions that leverage your data to uncover valuable insights, ultimately enhancing business outcomes. Their human-centric approach ensures that these solutions deliver measurable value, making them a key player in the predictive analytics landscape.

Highlighted product

Service

Predictive Analytics Solutions - Wovenware

We design custom and cost-effective predictive analytics solutions built upon your own data to uncover insights that can help you to improve business outcomes.

Predictive Layer's Logo

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.

Highlighted product

Core business

Predictive Layer – Automated machine learning for analytics forecasts


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Things to know about Predictive Analytics

What is Predictive Analytics?

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.


How does Predictive Analytics work?

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.


What are the benefits of using Predictive Analytics?

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.


Which industries commonly use Predictive Analytics?

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.


What data is needed for effective Predictive Analytics?

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.


Insights about the Predictive Analytics results above

Some interesting numbers and facts about your company results for Predictive Analytics

Country with most fitting companiesUnited States
Amount of fitting manufacturers7810
Amount of suitable service providers6628
Average amount of employees11-50
Oldest suiting company2001
Youngest suiting company2021

Geographic distribution of results





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Frequently asked questions (FAQ) about Predictive Analytics Companies

Some interesting questions that has been asked about the results you have just received for Predictive Analytics

Based on our calculations related technologies to Predictive Analytics are Big Data, E-Health, Retail Tech, Artificial Intelligence & Machine Learning, E-Commerce

Start-Ups who are working in Predictive Analytics are DA Connected LLC., vcubo

The most represented industries which are working in Predictive Analytics are IT, Software and Services, Other, Consulting, Marketing Services, Finance and Insurance

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.

Predictive Analytics results by various countries

Related categories of Predictive Analytics