Data analytics services
Define your current data volume, predict future data needs, and establish scalable data analytics processes that help you extract continuous value from your data.
Maintain a high level of data security by following industry-specific data governance principles and implementing data quality management procedures.
Get access to deeper business insights and gain a competitive edge by researching relevant new data sources and integrating them into your data analysis processes.
Tap into enterprise-wide data analytics and discover new possibilities to fuel your business expansion by generating and combining real-time insights from all company departments.
Discover new monetary and cost optimization opportunities with descriptive, prescriptive, or predictive data analytics reports.
Automate and optimize your data analytics solutions by integrating cutting-edge technologies like AI and RPA that align with your business model.
Data and analytics services Yalantis provides
Harness the full power of your corporate data assets
Implement a data analytics solution that aggregates data from all relevant sources and allows for all-around business analysis.
Industry-specific use cases
Predictive maintenance of IoT devices and manufacturing equipment
Data-driven energy management
Cost-efficient vehicle fleet management
Smart home monitoring
Decision support for smart city projects
Patient data analysis for personalized treatment
Clinical research support
Disease prediction and diagnostics
Analysis and prediction of health trends
Patient feedback analysis to improve healthcare service delivery
Timely fraud detection
Behavior analysis and forecasting
AI chatbot for customer support and loyalty
AML Ops automation
Investment risk assessment
Algorithmic trading strategies
Personalized financial plans
Benefits of partnering with us as your data analytics services company
Domain-focused data analytics solutions
Leverage best-in-class data tools and technologies that are secure and relevant for your particular industry. Work with domain advisors to fulfill various needs such as selecting a suitable data analytics platform or implementing data security controls.
Roadmapping your data analytics implementation
Integrate a data analytics solution only when your data infrastructure is fully prepared for it. Ensure a seamless data analytics process with a deep-dive assessment of your data quality and data management practices.
Continuous improvement of data analytics solutions
Go beyond data analytics support and get help with improving and maintaining your entire data management process. Get data solutions that meet your business requirements and enhance your data analytics capabilities.
Data security and compliance
Entrust your sensitive business data to a qualified team who follows strict rules and protocols to ensure your product is safe from unauthorized access or data corruption. Share your own data protection rules and requirements for extra assurance of the security of your data analytics project.
Adaptability to changing data needs
Suggest changes or improvements to your ongoing data analytics project so that it reflects your company’s current data needs. Ensure prolonged maintenance, updates, and modifications of your data analytics solutions by establishing a long-term partnership with Yalantis.
Assistance with data analytics insights
Get help understanding data analytics results and efficiently detect relationships and dependencies among your datasets. Engage a data analyst or data scientist in your in-house team to set up internal processes and prepare the environment for efficient data analysis.
Yalantis: A company with a proven portfolio
Platform for real-time election data processing
Find out how we developed a
system for effectively managing election data to speed up the calculation of voting results.
Data analytics to supplement loan decision-making
Explore how our team designed a microservices architecture for seamlessly exchanging loan information and integrated a BI toolset for data-driven decision-making.
Reduce data management anxiety and unburden your staff
Organize, categorize, and analyze relevant datasets to increase business productivity.
Our clients’ video reviews
What triggered us was their remote collaboration practices as well as their experience in the IoT industry. Their strong technical experience helped us scale our platform and deliver great performance to our customers.
Yalantis has been a great fit for us because of their experience, responsiveness, value, and time to market. From the very start, they’ve been able to staff an effective development team in no time and perform as expected.
Working with Yalantis, you get their breadth of experience building hundreds of projects. Their expertise and knowledge were second to none. And that makes the difference between a good product and a great product.
Insights into our data and analytics services
BI and advanced analytics solutions for supply chain data analysis
Read a guide on BI and advanced analytics solutions for the supply chain. Learn how to implement each one and read about common tools and techniques for both.
Analytics for IoT: IIoT data management and analytics for large manufacturers
Large manufacturers are gradually jumping to a data-driven operational strategy and utilizing IIoT devices. See how the industry wins by adopting industrial IoT data management.
How to develop an enterprise data warehouse from scratch to foster a data-driven culture
Get a set of clear steps to develop a domain-driven EDW design; learn about integral elements of an EDW and key stages of its development.
Design a custom data analytics strategy with expert guidance
Establish an organization-wide data analysis process to assess business efficiency and define areas for improvement.
How do you customize your data analytics services to meet a variety of business needs?
To cater our services to each individual client, we first begin with an in-depth exploration of your business and industry specifics, end users of the data analytics solution, and project constraints such as budget, timeframe, and overall expectations. All of this information can help us work out a custom project plan that aligns with your goals and objectives.
Plus, our data analytics services company has domain data experts who we engage depending on the project to help us make quick and optimal decisions such as selecting relevant analytics tools and developing an implementation roadmap that won’t disrupt a particular business workflow.
What types of data analytics do you work with as a data and analytics company?
We provide a wide range of data analytics solutions. Our data and analytics services team has expertise implementing business intelligence solutions that cover descriptive analytics and offer a historical analysis of the business to assess its as-is state and help you come up with an action plan to resolve urgent issues.
We also specialize in integrating advanced data analytics solutions that include prescriptive analytics, predictive analytics, and big data analytics. These types of analytics allow you to conduct in-depth business analysis, such as by collecting large amounts of structured and unstructured data to extract actionable insights and forecast how your business should adapt to coming market changes or consumer trends.
Each type of analytics requires different technologies and expertise and may have different implementation approaches depending on the industry and your business model.
What differentiates your data analytics company from others?
For starters, it’s our full commitment to your data project and the ability to go beyond our scope of responsibilities. Even if you work with us solely on a data analytics project, we can provide our support in other data management or data integration areas as well to help you create a data-driven culture in your company.
Our data analysts, data engineers, and data scientists constantly hone their skills and learn advanced technologies and solutions to increase our data analytics service offerings. For instance, we can integrate artificial intelligence or machine learning components on top of your existing data analytics solution. Yalantis’ data analytics experience with lots of industries is also a huge plus. We can work with big data and ensure real-time data processing and analytics. In fact, building a complex analytics architecture also falls within the scope of our data analytics services.
Do you have a unique approach to delivering successful data analytics projects?
For a successful data analytics project, it’s important to work closely with your data analytics service provider, show genuine interest in the project’s progress, stay proactive, and take part in decision-making. We do our best to establish a convenient communication flow with you, set up a transparent work environment, and compose a team of data professionals.
Our data and analytics services team applies a holistic approach when it comes to data collection to ensure that we have all necessary data for efficient and insightful data analytics. Regular data quality assurance procedures also play a crucial role in delivering a successful project.
How to choose a suitable data analytics service provider
Let’s briefly discuss five key characteristics of a mature and reliable data analytics partner to make it easier for you to find one.
Team of data experts with proven experience and implemented projects
A capable data analytics services partner will have a team of skilled data experts such as data analysts, data engineers, and data scientists with a proven track record. Look for evidence of their expertise through past data analytics projects, work samples, and prototypes. A rich portfolio demonstrates the ability to effectively tackle complex data challenges and meet various business needs.
Transparency about internal data management practices
A mature and reliable data and analytics company should also have a streamlined data management process in place. It’s important that the company not only provides their clients with data solutions but also takes care of their internal data structure and ensures that data management runs smoothly. By learning the data management practices of a potential partner, you can better evaluate their values, attention to detail, and data quality policy than you could by looking through publicly available case studies.
Separate security department available for on-demand consultations
Maintaining security is critical when dealing with sensitive corporate data. A reliable data analytics service provider should have a dedicated cybersecurity department that clients can consult on security matters or request on-demand help from if they need to comply with a certain industry-specific law or regulation.
Established data quality assurance procedures
Just as essential as security is maintaining data quality throughout the development of a data analytics solution. A reputable data analytics services company should have tried-and-true data quality assurance procedures in place to clean, validate, and maintain data integrity, ensuring that your data analytics solution provides trustworthy insights that can bring value to your business.
Proactivity and effective and thorough communication
While this characteristic will become evident during actual collaboration, it’s a crucial aspect to consider before you begin. Look for a data and analytics services partner who is proactive and demonstrates a genuine desire to dive deep into your business needs and requirements. A proactive attitude often leads to more innovative solutions and a strong collaborative partnership.