Data Science

Data science services include data science consulting, development and support to enable companies to run experiments on their data in search of business insights.

Applying data science in its different forms ranging from statistics to machine learning and deep learning to offer to our customers the most deliberate analytics needed.


Data Science Use Cases 

We help businesses of all sizes with their data analytics projects, from first time adoption of analytics and reporting tools, for startup businesses, to enterprise solutions, including assistance with analytics and vast data management projects when working with vast data sets.

Operational intelligence  

Optimizing process performance due to detecting deviations and undesirable patterns and their root-cause analysis, performance prediction and forecasting.

Supply chain management  

Optimizing supply chain management with reliable demand predictions, inventory optimization recommendations, supplier- and risk assessment.

Product quality  

Proactively identifying the production process deviations affecting product quality and production process disruptions.

Predictive maintenance

Monitoring machinery, identifying and reporting on patterns leading to pre-failure and failure states.

Customer experience personalization

Identifying customer behavior patterns and performing customer segmentation to build recommendation engines, design personalized services, etc.

Customer churn

Identifying potential churners by building predictions based on customers’ behavior.

Sales process optimization

Advanced lead and opportunity scoring, next-step sales recommendations, alerting on negative customer sentiments, etc.

Financial risk management

Forecasting project earnings, evaluating financial risks, assessing a prospect’s creditworthiness.

Patient treatment optimization

Identifying at-risk patients, enabling personalized medical treatment, predicting possible symptom development, etc.

Image analysis

Minimizing human error with automated visual inspection, facial or emotion recognition, grading, and counting.

Managing costumer data

Entreprise are obliged to collect, analyze, and store massive amounts of data. But rather than viewing this as just a compliance exercise, machine learning and data science tools can transform this into a possibility to learn more about their clients to drive new revenue opportunities.

Personalized marketing

Data scientists utilize the behavioral, demographic, and historical purchase data to build a model that predicts the probability of a customer’s response to a promotion or an offer.The key to success in marketing is to make a customized offer that suits the particular client’s needs and preferences.


Data Science Process

What our data science process includes :  

Business needs analysis.

  • Outlining business objectives to meet with data science.
  • Defining issues with the existing data science solution (if any).
  • Deciding on data science deliverables. 


Data preparation 

  • Determining data source for data science.
  • Data collection, transformation and cleansing.


Machine learning (ML) model design and development.

  • Choice of the optimal data science techniques and methods.
  • Defining the criteria for the future ML model(s) evaluation.
  • ML model development, training, testing and deployment.


ML model evaluation and tuning.

Delivering data science output in an agreed format.

  • Data science insights ready for business use in the form of reports and dashboards.
  • Custom ML-driven app for self-service use (optional).
  • ML model integration into other applications (optional).


User & admin training, data science support consultations. 


Data Science Solutions

Data science solution implementation

  • Easy access to the required experience or resources.
  • Building a smoothly functioning data science solution tailored to your unique business needs.

Data science improvement consulting

  • Strategic and tactical guidance.
  • Overcoming problems (noisy or dirty data, inaccurate predictions, etc.) in a data science project.

Ongoing data science consulting and support

  • Continuous support and evolution of your data science initiative to increase the quality of insights.
  • Adjusting the ML models to the changing environment.

Data science as a service (DSaaS)

  • No investment in in-house data science competencies.
  • Getting advanced data analytics insights derived with data science technologies or enhancing the existing data science initiatives



To get to the valuable insights that your data hides, we apply both proven statistical methods and elaborate machine learning algorithms, including such intricate techniques as deep neural networks 

Statistics methods

  • Descriptive statistics
  • ARMA
  • Bayesian inference, etc

Non-NN machine learning methods

  • Supervised learning algorithms, such as decision trees, linear regression, logistic regression, support vector machines.
  • Unsupervised learning algorithms, for example, K-means clustering and hierarchical clustering.
  • Reinforcement learning methods, such as Q-learning, SARSA, temporal differences method.

Neural networks, including deep learning

  • Convolutional and recurrent neural networks (including LSTM and GRU)
  • Autoencoders
  • Generative adversarial networks (GANs)
  • Deep Q-network (DQN)
  • ·     Bayesian deep learning



Machine learning consulting

Advising on and developing ML-power solutions to help companies find hidden patterns in massive amount of data to enable accurate predictions and forecasting, root-cause analysis, automated visual inspection, etc

Big data services

Big data consulting, implementation, support, and big data as a service to help companies store and process big data in real-time as well as retrieve advance analytics insights out of huge datasets.

Business Intelligence services

We provide a full range of BI Services from consultancy, to development of a tailored business intelligence solution.

Data analytics services

Retrieving valuable insights out of large, heterogeneous and constantly changing data sets without investing in an in-house data mining talents.

Data visualization services

Track your performance in terms of product range, service offering, and business functions, monitor market and consumer trends and behaviors, and much more. 

Artificial intelligence services

AI Services provide ready-made intelligence for your applications and workflows. AI Services easily integrate with your applications to address common use cases such as personalized recommendations, modernizing your contact center, improving safety and security, and increasing customer engagement.