Data analytics services and solutions

ADFAR Tech provides its customers with various data processing and analysing solutions that are useful for examining all types of data to make reasonable decisions on various aspects of the business. As a result of our mutually beneficial cooperation, our clients will be able to look differently at what they do and how their company is developing. And what is even more important, they will receive premium quality data analysis with minimum effort and at a reasonable price.

Want your data to be properly processed and analysed?

Data analytics services we render

Data analytics is a complex process that involves a lot of tools and practices. ADFAR Tech provides its customers with all the most popular services in this niche from consultancy to data management, mapping, quality assessment, and others.

Data management

This is a very important part of working with data as it includes data collection, storing, protecting, and organising. With ADFAR Tech, our client’s data will be properly managed by top experts who have worked for years in this niche.

Data warehousing

Creating a comprehensive database is crucial for businesses that store huge arrays of data. Innowise provides its clients with proper data warehousing, which includes the integration of information received from various sources into a dependable database.

Data transformation

All the information that is stored in the database or collected from various sources may have various formats, which, in turn, makes it impossible to properly analyse it. We convert data from any possible format so that it becomes readable and compatible.

Data mapping

This is the process of matching fields in different databases to improve the management, integration, and migration of data. With ADFAR Tech , such a process of data homogenising will be seamless and will require less time.

Data quality

One of the key issues that businesses may face is inaccurate or incomplete data. Our experts assess data quality with various parameters that allow us to guarantee that the information our clients receive meets all the data quality standards.

Data analytics as service

At the beginning of this decade, the market size of DAaaS surpassed $5 billion. According to the studies, this fast-growing niche will expand to up to 30% in the next following years. With ADFAR Tech, our clients can benefit from all the advantages of such a platform.

Augmented analytics

With the development of ML and AI, data analytics began a new era where AI is partly responsible for data preparation, management, and other aspects. ADFAR Tech introduces such tools to make the whole data analytics process more effective and accurate.

Data modernization

In simple terms, data modernization means transferring data from legacy databases to modern ones, including cloud technologies. Our company helps customers complete error-free and data modernization of any complexity.

Data advisory and consulting

According to the latest studies, only 24% of organisations know how to apply the data received from DA in their business routine. Our consultancy and advisory services help companies properly use the information in their business activities..

Our expertise in data analytics and management

ADFAR Tech operates as the champion of cutting-edge technologies, including data analytics and management. We have years of experience providing our clients with a consistently high level of quality when it comes to DA and DA-related services.

Our data science expertise across industries

Our data science engineers have extensive experience in a variety of industries. Innowise employs optimal data science techniques to transform our clients’ corporate data into intelligent insights and profitable strategies. Here are the most common areas where our team has had successful projects.

Data science in FinTech and banking

Banks today need to stay afloat and provide only competitive services. With machine learning techniques, our data scientists develop an effective solution that is self-learning after each financial transaction. Fraud detection, forecasting, and customer analytics can then become even more effective.

Data science in healthcare

During the COVID-19 pandemic, data science and analytics made serious advances in MedTech. Now, based on algorithms for data analysis and ML, our team takes advantage of accumulated medical data to optimize the performance of clinics as well as help diagnose patients or set up a care plan.

Data science in retail and eCommerce

New technologies allow us to derive important information, such as sentiment analysis of customers, their preferences, and even their ability to pay in a structured way. With big data development services, retailers can track and process purchase history and maintain loyalty statistics

Data science in insurance

The insurance industry is now actively modernizing its sales strategy with DSaaS. Innowise’s experts can determine a person's psycho-type based on consumer data, which helps to identify the likelihood of loss before the insurance policy is sold, as well as develop retention measures.

Data science in manufacturing

We can analyze machines’ cost-effectiveness, implement predictive maintenance, and plan repairs before it's too late. Our experts also use artificial intelligence for data management services and solutions in order to plan optimal staff workload and implement quality control of goods among other functions and tasks.

Data science in supply chain

Data scientists provide predictive analytics of consumer needs, thus allowing for detailed mapping of demand and future requests. Proper supply chain tracking can optimize time for costly management of planned shipping routes. Our clients also get able to analyze current suppliers more accurately or look for new ones.

Data science in marketing

Data science and analytics enable companies to accelerate strategic planning, adjust tactics, and optimize budget allocation. We help with monitoring of collected data in real-time, which makes it even easier to track statistics, take the necessary measures in time, and perform predictive analytics.

Data science in education

DSaaS is widely used in modern universities as well as online schools and courses. With machine learning techniques, our team arranges an efficient way to track students' activity, their progress, and the time they spend studying the material. All the relevant statistics and information can be visualized in quality infographics.

Benefits of data science for your business

Business analysis and forecasts

ADFAR helps clients structure their corporate data. Qualitatively built-up data reveals many hidden insights about a client’s project, enabling detailed analytics and facilitating accurate future predictions.

Data storage security

ADFAR excels in managing the data storage security of our clients. Our experts do their best to prevent fraudulent actions against our client’s business on-premises and on external data servers.

Performance optimization

Our data scientists use machine learning models that improve the productivity of your business. Based on advanced analytics, you can identify the weakest link and make the right decision to address it.

Target audience sourcing and retention

Innowise has a long track record of quality consumer data analysis. We determine loyalty, engagement, and solvency, as well as create recommendation algorithms based on successful models.

Boosting sales

Data science provides business insights that help companies attract more customers, increase their engagement, reduce customer churn rate and increase LTV. More so, it’s possible to identify the most favorable time for marketing campaigns.

Recruiting top professionals

With the help of modern AI, NLP and OCR technologies, our data scientists help companies look for employees without having to read plenty of CVs every day by setting up the software correctly based on the required preferences.

The cost of creating a data science solution

Data science is one of the most in-demand services, yet the project’s total cost always depends on its complexity. Innowise offers top-notch quality for reasonable prices at Central Europe and Baltics rates. See below the complete set of factors that determine the overall cost.

Project complexity

Project duration

Team size

Team composition

Professional level of developers

Cooperation model

Wishing to enrich your business with advanced data science solutions?

Find out more from our experts on how data science can benefit your business

Choose ADFAR as a data science company

Innowise is a full-stack custom software and IT consulting provider with strong expertise in data science. Our company has had successful cooperation with both big and small businesses, resulting in efficient data engineering solutions. We have years of experience and hundreds of projects that prove our determination. Innowise’s in-house teams have admirable hard and soft skills necessary to work on top international projects. Besides, we provide first-class support and maintenance and never give up on our clients’ projects in the post-launch stage.

Hire dedicated data science engineers

ADFAR dedicated data science engineers are ready to develop software from scratch or join an ongoing project and delve into the nuances fast to guarantee the best-fitting decision. Our expertise allows us to take care of all the incoming routine tasks while a client can divert precious resources into other important issues. Our top-notch feature is the combination of quality and speed. We also provide full-fledged support during the post-release stage.

Need experienced data scientists?

Our data science services will improve your business like no other

FAQ about data science

Why are data science consulting services important?

It is always better to contact an expert rather than search the Internet for answers to your questions. Innowise’s data science consultants will be able to put together an analysis and plan on what your business needs from this area as quickly as possible.

Will our data be secure?

ADFAR ensures that your data is completely secure since our experts only use the most advanced encryption systems. Our work is fully transparent, and we report at every stage of implementation.

What is data science used for?

Data science is used primarily for the purpose of collecting all business data and building it into a structured analysis. With relevant statistics and data patterns, a business can receive new insights for solutions that will optimize the project as well as revise any approach.

Data Science