Data Analytics Services Company
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Custom data analytics services we offer
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Data Science Services
We harness the power of data science to uncover meaningful patterns, forecast trends, and drive decision-making with precision. Our team applies statistical techniques and advanced algorithms to analyze your data, turning it into actionable knowledge for a competitive edge.
Statistical analysis and forecasting to predict market changes
Development of predictive and prescriptive models for strategic planning
Advanced data visualization to communicate findings effectively
Big Data Services
Evinent is an expert in handling and analyzing large amounts of data from various sources. We assist you with the latest big data technologies to derive valuable insights by processing complex data sets that can help you improve operational efficiency.
Designing scalable big data architectures for high-performance
Integrating data from multiple sources to ensure consistency and accuracy
- Delivering real-time analytics services for instant decision-making
Data Analytics Services
We provide data analytics services and solutions that can assist you in understanding past trends, diagnosing performance gaps, and uncovering growth opportunities. We ensure that your business decisions are supported by reliable insights derived from your data.
Performing descriptive and diagnostic analytics to explore "what" and "why"
Developing and tracking KPIs aligned with business goals
Analyzing customer behavior to improve engagement and retention
Identifying trends and anomalies to address risks and opportunities
Artificial Intelligence and Machine Learning Services
Our AI and machine learning solutions bring intelligent automation to your business, enabling you to predict outcomes, optimize processes, and enhance customer experiences. Whether it’s automating workflows or building custom AI tools, we provide end-to-end support.
Creating AI-driven recommendation systems to enhance personalization
Building machine learning models to predict and classify data
Developing conversational AI like chatbots for customer interaction
Data Modernization Services
Evinent upgrade old legacy data systems into contemporary, cost-effective IT infrastructures that meet today's needs. By implementing the latest solutions and best practices, we ensure your data is reachable, secured, and ready for future advanced technology.
Migrating legacy systems to modern platforms with minimal disruption
Implementing cloud-based data solutions for scalability and flexibility
Managing metadata and master data to ensure consistency and governance
Why choose Evinent?
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+50 dedicated team
Proven Expertise and Custom Solutions
As an analytics services company, we focus on delivering data-driven solutions that directly impact your bottom line. By understanding your business goals, we develop targeted strategies for customer service analytics, process optimization, and actionable insights, ensuring measurable value. Our project Evinent Analytics is a prime example of our expertise in integrating machine learning. The platform empowers businesses to segment their customer base, predict sales trends, and create personalized marketing strategies.
Cutting-Edge Tools and AI Integration
We leverage data analytics and AI services to uncover hidden patterns and optimize decision-making. By applying AI where it drives the most impact, we help businesses gain a competitive edge in an increasingly data-centric world.
Scalable and Flexible Approach
Our solutions are flexible based on your business needs, whether the dataset is small or you deal with analytics on a large scale. Our job is to ensure that the data infrastructure we set up for you can accommodate both current needs and future growth, providing flexible long-term scalability.
Security-First Methodology
As a data analytics service provider, we prioritize security and adhere to industry best practices, such as OWASP guidelines. We implement secure storage solutions and continuous monitoring to protect data integrity, privacy, and compliance and minimize risks.
Accelerated Time-to-Value
Our company guarantees fast project execution. Through an economical framework, we ensure early access to meaningful data, enabling you to use analytics to make better decisions and expand your business rapidly.
Certifications and achievements
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Industries we serve
Healthcare
Manufacturing
E-Commerce
Retail
HRMS
Evinent’s custom development services supply tailored healthcare software for hospitals, clinics, and healthcare organizations. Our solutions help improve patient care, optimize data management, and ensure regulatory compliance.
We can develop scalable solutions to streamline supply chain management, simplify manufacturing processes, and improve the overall efficiency of operations at your company.
We offer comprehensive platforms for B2B and B2C e-commerce, including advanced search solutions and AI chatbots to help improve user experience and increase sales.
Evinent provides state-of-the-art retail technology solutions that enhance customer interaction, optimize stock management, and drive growth for your business.
We can deliver customized human resource management solutions that automate recruitment, employee management, and performance tracking processes.
Healthcare
Evinent’s custom development services supply tailored healthcare software for hospitals, clinics, and healthcare organizations. Our solutions help improve patient care, optimize data management, and ensure regulatory compliance.
Manufacturing
We can develop scalable solutions to streamline supply chain management, simplify manufacturing processes, and improve the overall efficiency of operations at your company.
E-Commerce
We offer comprehensive platforms for B2B and B2C e-commerce, including advanced search solutions and AI chatbots to help improve user experience and increase sales.
Retail
Evinent provides state-of-the-art retail technology solutions that enhance customer interaction, optimize stock management, and drive growth for your business.
HRMS
We can deliver customized human resource management solutions that automate recruitment, employee management, and performance tracking processes.
Our customers' success stories speak louder
Here's how our client's feedback on our collaborative approach and the solutions we've implemented together.
Software we’ve delivered
Check out the success stories of our clients and how we have solved problems in a variety of industries. Each of these studies demonstrates our creativity in problem-solving, innovative solutions, and the measurable impact we've made
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Our data analytics development process
Data Collection
Data Preparation
Analysis & Modeling
Visualization
Actionable Insights
The first stage consists of collecting precise and up-to-date information using advanced instruments and methods. Whether it is organized or non-organized, inner or outer, we cover them all in a way that all the data sources are well integrated and properly aligned with the business requirements.
After gathering the data, we clean and prepare it. This process, which includes deleting duplicates, dealing with missing values, resolving data inconsistency errors, and structuring the data, is crucial. Normalization and enrichment techniques can enhance data quality and comply with the highest usability and reliability criteria standards.
From this point, we employ different statistical methods, artificial intelligence, and a self-constructed model to extract out-of-the-box insights from ready-made data. Our department finds factors like repetitions, relations, and forecasts that can motivate decision-making. Like Evinent Analytics, our approach integrates machine learning models to process large volumes of customer data, providing insights on behavior, preferences, and sales forecasts that drive smarter decisions.
We present the findings in an understandable way to ensure project stakeholders have easy and fast access to the most critical data. If needed, this data can be accessed in seconds to understand performance in real-time. We provide the means of obtaining dynamic applications to build your workflow and the information you need as you proceed.
Of course, step eight is vital: changing the analysis to practical recommendations. We understand the findings and also give advice on using data-driven strategies to accomplish your goals. Whether the aim is to optimize operations, promote the brand, or encourage a better decision-making process, our insights let your organization act intelligently and quickly.
Data Collection
The first stage consists of collecting precise and up-to-date information using advanced instruments and methods. Whether it is organized or non-organized, inner or outer, we cover them all in a way that all the data sources are well integrated and properly aligned with the business requirements.
Data Preparation
After gathering the data, we clean and prepare it. This process, which includes deleting duplicates, dealing with missing values, resolving data inconsistency errors, and structuring the data, is crucial. Normalization and enrichment techniques can enhance data quality and comply with the highest usability and reliability criteria standards.
Analysis & Modeling
From this point, we employ different statistical methods, artificial intelligence, and a self-constructed model to extract out-of-the-box insights from ready-made data. Our department finds factors like repetitions, relations, and forecasts that can motivate decision-making. Like Evinent Analytics, our approach integrates machine learning models to process large volumes of customer data, providing insights on behavior, preferences, and sales forecasts that drive smarter decisions.
Visualization
We present the findings in an understandable way to ensure project stakeholders have easy and fast access to the most critical data. If needed, this data can be accessed in seconds to understand performance in real-time. We provide the means of obtaining dynamic applications to build your workflow and the information you need as you proceed.
Actionable Insights
Of course, step eight is vital: changing the analysis to practical recommendations. We understand the findings and also give advice on using data-driven strategies to accomplish your goals. Whether the aim is to optimize operations, promote the brand, or encourage a better decision-making process, our insights let your organization act intelligently and quickly.
Still have questions?
What are the 4 pillars of data analytics?
Data analytics rely on four main topics: Descriptive Analytics (understanding the past), Diagnostic Analytics (discovering the reasons for changes), Predictive Analytics (forecasting the future), and Prescriptive Analytics (suggesting actions). Collectively, these topics apply to decision-making and strategy development.
What industry uses data analytics the most?
Data analysis is of great importance to retail and e-commerce businesses since it enables them to understand consumer needs, deliver customized promotions, improve transportation chains, and predict the volumes of forecasts. Besides them, health care, finance, and manufacturing are the other leading companies verified where the data plays a role, contributing to alternative and efficient management.
What is the difference between data analysis and data analytics?
Data analysis centers on scrutinizing datasets to uncover patterns, trends, and insights, frequently employing statistical methods and visualization techniques. In contrast, data analytics represents a wider field that includes data collection, preparation, analysis, and interpretation, often integrating advanced technologies such as machine learning and predictive modeling to influence business decisions.
What is better than data analytics?
The desirability of "better" is contingent upon its role. While data science typically includes sophisticated features like machine learning and predictive modeling, data analysis is often prioritized to focus on business challenges, provide clear guidance and in-time decision support, and meet all other real needs.
What is a customer service data analyst?
A customer data and analytics service examines the data associated with customer interactions, satisfaction, and evaluations to use the patterns to reach the customer, measure performance metrics, and offer useful outcomes to an organization's customers to improve their experience and efficiencies.
78%
Enterprise focus
20
Million users worldwide
100%
Project completion rate
15+
Years of experience