Creating analytical solutions

Turn messy data sets into a coherent force
that works for you - let your data become your
significant advantage.

120+ Projects
Quality and modern
150+ Customers
From different parts of the world

4+ Years
Of commercial experience

Features of analytical solutions

Data analytics is the action of processing raw data to identify important trends and find answers to business questions. The term Data Analytics refers to the use of advanced methods and technologies for collecting, analyzing, processing, and visualizing data. It is a tool that allows you to turn large amounts of raw data into strategically important business insights. Below are some of the key areas of Data Analytics that our team works with.

Development and integration of Data Analytics solutions We create and customize IT infrastructure for efficient data collection, processing, storage, and visualization. Using advanced technologies, such as cloud computing, Big Data, artificial intelligence, and data mining, we provide accurate and in-depth analytics that helps to make informed decisions.

Data Analytics consulting Our experts will help you clearly define your business goals, data sources, and tools for processing them. We create strategies tailored to your objectives and offer a detailed plan for implementing analytical solutions that meet your company's needs.

Support and management of analytical solutions We ensure stable operation of Data Analytics solutions, guarantee their security, scalability, and performance. In addition, we offer regular consulting, staff training, system monitoring, and auditing to continuously improve analytical processes.

DataOps services We set up integrated data management processes that automate work with data between data managers and end users. We create a unified system for secure data storage and fast data processing, as well as prompt information exchange, which increases business efficiency.

Industries for which we offer innovative Data Analytics solutions

Data Analytics methods work effectively in any area where large amounts of information are accumulated. Among the industries we work with are those that particularly benefit from analytical approaches.

Legal sector

Data Analytics enables law firms to quickly process and analyze large volumes of legal documents, making it easier to find relevant information. This allows them to predict the outcome of cases, assess risks, and improve the accuracy of consultations. The implementation of analytical solutions also helps to reduce costs and increase the efficiency of internal processes.

Insurance

Data Analytics in insurance allows for detailed analysis of customer, risk, and insured event data, which contributes to more accurate tariff calculation and the creation of personalized insurance products. Analytics also helps to identify potential fraud, forecast costs, and improve customer service, reduce operating costs, and increase company efficiency.

Tourism

Data Analytics allows travel companies to analyze in detail data on traveler behavior, preferences, and demand for services. This helps to create personalized offers, optimize pricing and marketing campaigns, and increase customer satisfaction. In addition, analytics allows you to predict seasonal trends and adapt strategies to changes in the market.

Real estate

Data Analytics makes it possible to assess market trends, real estate values, and demand for different types of properties. This helps to predict market changes more accurately and make informed investment decisions. Personalization of offers and sales strategies based on data increases the efficiency of transactions and improves the profitability of companies.

Transportation and logistics

Data analytics enables logistics and transportation companies to process information about routes, cargo, passengers, weather conditions, and traffic. This helps to increase transportation efficiency, improve safety and reduce costs, as well as minimize negative environmental impact.

Financial sector and banking

Data Analytics allows financial institutions to organize information about customers, transactions, markets, and regulatory requirements. This helps to more accurately access risks and cost of the assets, predict market trends, fight fraud, improve security, and personalize customer service.

Why do customers trust IT development by IT-reserved?

More than 4 years on the market

IT-reserved has been on the market for over 4 years. During this time, we have helped numerous companies automate their processes and reach new heights in their field. Our experience allows us to create solutions that work for the result.

More than 180 specialists

Our team consists of more than 180 professionals in various IT areas. We are ready to solve any problem, ensuring high quality at all stages of development - from planning to implementation.

Comprehensive experience in developing IT solutions

We specialize in creating integrated business solutions, such as ERP, CRM, TMS systems, and others. We implement each project taking into account the individual needs of the client, which allows us to solve business problems as efficiently as possible.

Ongoing customer support

We guarantee that the client will receive comprehensive support at all stages of our cooperation. From the first communication to post-launch technical support, we are always in touch to help you implement your project.

Transparency

We put transparency at the forefront of our work. Our clients always know how the development process is going and what results they will receive. This allows us to build trusting and reliable partnerships.

Quality and security guarantee

We guarantee the safety and functionality of our products through thorough testing and control at all stages of software development. Each project undergoes strict checks to ensure flawless operation.

Successful cases

For 4 years, we have accumulated unique experience and know what to look for, how to avoid critical mistakes, and choose the best tools for further development.

Foster Swiss

Foster Swiss has many years of experience in international consulting, which allows it to work effectively with clients in...

Jurisprudence
React development
Node.js

Successful cases

DACHSER

DACHSER has been providing logistics services since 1930. The company combines traditional transportation methods with the latest digital...

Logistics
Integration API
MySQL

EventBeds

Since 2019, EventBeds has specialized in exclusive accommodation offers for event participants. It provides users with the opportunity to...

Real estate
MongoDB
Stripe API

Areas of activity:14
Experience in the market:4
Number of specialists:180
Implemented projects:250

Stages of project implementation

Over the past 4 years, we have gained a lot of experience and know better than others what to focus on, how to avoid fatal mistakes, and how to determine the route and tools for moving forward.

Initial analysis

We conduct deep research of your business to clearly understand what tasks need to be solved. Based on this, we formulate specific requirements for the analytical tool and define the goals to be achieved.

Data collection and preparation

We analyze all available data that your company already has, and if necessary, offer solutions for collecting new data. We carefully study the data structure to ensure the most efficient operation of the future tool.

Development of an analytical tool

We create the software part of the analytics solution, as well as an intuitive interface for managing it. Your customized solution is ready to launch and is aimed at improving business efficiency and generating new sources of revenue.

Implementation and performance evaluation

We launch the analytical tool into the working environment, set up processes for its stable operation, and analyze the first results. We provide technical support to ensure the stable operation of Data Analytics in your company and increase the benefits of the implemented solution.

Our technologies

We use advanced technologies and deep expertise to create software solutions that meet your business goals and specific requirements.

PHP Language

Java Script

Python

React Native

Node JS

Next JS

Graph QL

Type Script

Java

Swift

AWS

C sharp

Objective C

Laravel

Flutter

.Net

Delphie

Kotlin

Development directions:

Feedback from our clients

Over the past 4 years, we have gained a lot of experience and know better than others what to focus on, how to avoid fatal mistakes, and how to determine the route and tools for moving forward.

More reviews

Oleksii Gryshenko

Data Analyst, Real Estate

After implementing solutions from IT-reserved, our company has gained a completely new level of data management. They not only helped us to collect disparate data into one system, but also set up effective analytical tools that significantly improved the forecasting of market trends. I am very pleased with the team's professionalism and the result.

Inna Kovalchuk

Marketing Director, Tourism

IT-reserved provided us with excellent solutions for analyzing customer data, which helped us to understand the behavior of our audience. This allowed us to create more personalized offers, which significantly increased conversion. The efficiency with which they implemented the tools and their understanding of our needs is impressive!

Mykhailo Bondarenko

Chief Operating Officer, Legal sector

We have been provided with impressive solutions for analyzing legal data, which has significantly increased the efficiency of our work. Thanks to the tools provided, we were able to find relevant information faster and predict the outcome of court cases. The implementation of the solutions was prompt, and the team demonstrated a deep understanding of the specifics of legal activities.

Oleksii Gryshenko

Data Analyst, Real Estate

Inna Kovalchuk

Marketing Director, Tourism

Mykhailo Bondarenko

Chief Operating Officer, Legal sector

Let's discuss your project!

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FAQ

Data analysts use a variety of mathematical and statistical methods to process information. In addition, visualization technologies, machine learning (ML) and deep learning (DL) algorithms, as well as neural networks and other artificial intelligence tools are actively used to help obtain accurate forecasts and insights.

The development process involves several important stages: from task formulation and data collection to data cleaning and preliminary processing. After that, analysis and modeling are performed, data visualization for dashboards is created, and the resulting models are tested and optimized. This process can be adjusted depending on the specifics of the project and the tasks set.

To successfully develop an analytical product that will take into account changes in business operations, it is important to start with an in-depth analysis of the market, competitors, and internal processes of the company. This will allow you to adapt the solution to future challenges and needs. In addition, the product architecture should provide opportunities for scaling and integrating new features in response to business development and changing market conditions.

2 Mykola Kybalchycha Str., Kyiv, Ukraine +38 (096) 854-66-89 +38 (093) 466-22-41 [email protected]

We change your business!

We offer deep technical expertise and professional skills to create software solutions that precisely meet your business goals and specific requirements.

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