Data Science Solutions
PARTNER
Get More From Your Data
We believe that data is more than just numbers. It’s a roadmap to success. Whether in healthcare, finance, retail, or any other sector, we have the tools and experience to help you leverage your data for maximum impact. Watch the video, explore our range of services, and see how we can empower your business to thrive in the digital age.
Data science professional services include
Need Data Science to achieve business goals?
How VOLTERA Can Increase Your Profit
A data scientist does not study data for the sake of data itself but develops methods and algorithms that help a business grow and increase profits. All that is required of the customer is to have such data, at least in the form of a customer relationship management system. Then – set a task, and DATAFOREST specialists will help you in the following business areas.
Actionable Insights:
Process optimization:
Enhanced customer engagement:
Continuous improvement:
AI & ML in Action: Data Science Success Stories
Check out a few case studies that show why VOLTERA will meet your business needs.
Stock relocation solution
The client was faced with the challenge of creating an optimal assortment list for more than 2,000 drugstores located in 30 different regions. They turned to us for a solution. We used a mathematical model and AI algorithms that considered location, housing density and proximity to key locations to determine an optimal assortment list for each store. By integrating with POS terminals, we were able to improve sales and help the client to streamline its product offerings.
Client Identification
The client wanted to provide the highest quality service to its customers. To achieve this, they needed to find the best way to collect information about customer preferences and build an optimal tracking system for customer behavior. To solve this challenge, we built a recommendation and customer behavior tracking system using advanced analytics, Face Recognition, Computer Vision, and AI technologies. This system helped the club staff to build customer loyalty and create a top-notch experience for their customers.
Performance Measurement
The Retail company struggled with controlling sales and monitoring employees’ performance. We implemented a software solution that tracks sales, customer service, and employee performance in real-time. The system also provides recommendations for improvements, helping the company increase profits and improve customer service.
Supply chain dashboard
The client needed to optimize the work of employees by building a data source integration and reporting system to use at different management levels. Ultimately, we developed a system that unifies relevant data from all sources and stores them in a structured form, which saves more than 900 hours of manual work monthly.
5 Steps From Data Science Service to Business Insights
Step 1 of 5
Free consultation
It’s a good time to get info about each other, share values and discuss your project in detail. We will advise you on a solution and try to help to understand if we are a perfect match for you.
Step 2 of 5
Discovering and feasibility analysis
One of our core values is flexibility, hence we work with either one page high level requirements or with a full pack of tech docs.
In Data Science, there are numerous models and approaches, so at this stage we perform a set of interviews in order to define project objectives. We elaborate and discuss a set of hypotheses and assumptions. We create solution architecture, a project plan, and a list of insights or features that we have to achieve.
Step 3 of 5
Solution development
The work starts with data gathering, data cleaning and analysis. Feature engineering helps to determine your target variable and build several models for the initial review. Further modeling requires validating results and selecting models for the further development. Ultimately, we interpret the results. Nevertheless, data modeling is about a process that requires lots of back and forth iterations. We are result focused, as it’s one of our core values as well.
Step 4 of 5
Solution delivery
Data Science solutions can be a list of insights or a variety of different models that consume data and return results. Though we have over 15 years of expertise in data engineering, we expect client’s participation in the project. While modeling, we provide midterm results so you can always see where we are and provide us with feedback. By the way, a high-level of communication is also our core value.
Step 5 of 5
Support and continuous improvement
We understand how crucial the solutions that we code for our clients are! Our goal is to build long-term relations, so we provide guarantees and support agreements. What is more, we are always happy to assist with further developments and statistics show that for us, 97% of our clients return to us with new projects.
Reduce costs with Data Science?
Why Do You Need Data Science Services
Gain insights from data:
our data science team helps to extract valuable insights and patterns from large volumes of data, enabling businesses to make informed decisions and gain a competitive edge.
Ensure Scalability:
with the exponential growth of data, businesses need help to handle large volumes of information efficiently. We provide scalable data science solutions that can address big data processing, storage, and analysis, allowing businesses to leverage the full potential of their data.
Maintain complex data structures:
some businesses deal with complex data structures. We apply techniques like natural language processing, computer vision, and deep learning to extract insights from these data types, enabling businesses to unlock valuable information.
Automate data science in business:
we help automate manual tasks and optimize workflows, allowing companies to streamline their operations and improve efficiency.
Streamline real-time decision-making:
making real-time decisions is crucial in today’s fast-paced business environment. We develop custom real-time analytics solutions that process data in real-time, enabling businesses to make quick and informed decisions based on up-to-date information.
Enhance customer experience:
our data science experts help companies understand their customers better by analyzing their preferences, behavior, needs, and purchases.
E-commerce
VOLTERA improves client experience through customer sentiment analysis, integration for omnichannel communication, and personalization based on behavior. The introduction of back-office automation gives data-driven marketing, system integration, and custom dashboards. Recommendation systems, demand forecasting, and dynamic price management stimulate sales.
Retail
Finance
Insurance
The collaboration of data scientists and DevOps facilitates the continuous delivery of data-driven solutions and utilizes predictive models, machine learning, and data science tools to extract insights from insurance data. Effective data integration empowers new data product development, including predictive analytics tools, fraud detection systems, and customer self-service portals.
Cyber Security
Data management is critical for identifying and responding to threats effectively in the cyber security industry. Data scientists work closely with DevOps teams to create data pipelines that collect and process security-related data from various sources to access and analyze relevant data efficiently, leading to the development of advanced warning detection models, anomaly detection systems, and security analytics tools.
Pharma
Advertising and Marketing
Real Estate
Data Science will increase work efficiency. Get expert support!
What methods does DATAFOREST use?
The methods of mathematical and statistical analysis, as well as knowledge of probability theory, can be conditionally divided as follows:
Statistics methods
Linear\Logistic regression
Least squares
Agglomerative clustering
Pearson correlation
Chi-squared test
Non-NN machine learning
Support Vector Machines
Nearest Neighbors
Decision Trees
Random Forests
Gradient Boosting
XGBoost
K means/prototypes/modes
DBSCAN
Isolation forest
Local outlier factor
Neural networks, including deep learning
Self organizing map
Multilayer perceptron
Autoencoders
Generative adversarial network
What Data Science technologies do we use?
Pandas
SciPy
TensorFlow
Numpy
ADTK
DBscan
G. AutoML
Keras
MLFlow
Natural L. AI
NLTK
OpenCV
Pillow
PyOD
PyTorch
FB Prophet
SageMaker
Scikit-learn
SpaCy
XGBoost
YOLO
We will teach Data Science algorithms to solve your problems
Reasons why VOLTERA is worth being your data science company
01
Experienced and qualified team:
02
Solution flexibility based on a high level of communication:
03
Positive feedback from customers with whom we have already had the honor to cooperate:
Additional services to help your business get more
Data Scraping
We develop customized data enrichment solutions. Our web scrapers can extract and analyze over 500 million web pages daily to gain business and product insights, improve your productivity and ultimately increase your income. Take a look!
Data Integration
We integrate all the systems you may need for your enterprise. In addition, we set up a continuous flow of big data and provide you with convenient data management systems. Data integration services include API, ETL development, and many more. Discover benefits for your business on the page!
Web app development
Get custom-developed platforms to suit your business needs. We take care of all stages of product development, from planning to post-release support. We create internal automation systems such as ERP, data management solutions, and B2B & B2C applications for end clients.
DevOps
VOLTERA DevOps services include cloud migrations, infrastructure audits, cloud infrastructure cost optimization, and everything you need to scale up your enterprise. Learn more about the service.
