Data Science Service
Deep-dive into your data and boost business performance by understanding what your users really want.
Use your data to boost sales
We offer data analysis and machine learning development services for a range of business domains, including e-commerce, retail, fashion and finance. By extracting business insights and improving data management, our data scientists help our clients tailor their services with personalisation, smart recommendations and targeting – to reduce churn and sales overheads while boosting conversion and raising AOV and sales.
Improve business efficiency
We offer data science consulting and optimization services for the logistics and agriculture sectors, helping them adopt machine learning models and solutions for predictive maintenance, smart route planning and yield optimisation. As an experienced data science company, we use our simulation expertise to help finance clients adopt process automation and improve their fraud analytics and risk.
Effectively manage risks
We scrutinise your modelled data to help you implement prescriptive analytics and machine learning models, so you can instantly qualify leads, quantify successes, predict market demand, enhance your business processes and effectively resolve challenges. This allows you to focus your efforts and investments where you’ll get the best ROI.
Enhance operational performance
Our data scientists apply proven machine learning techniques to help you augment key processes and optimise things like call centre workload or parts & inventory, so you can balance the costs of managing your assets. We will also help you improve your controls so you can measure and manage performance with ease – reducing your time and budget burden.
Deliver exceptional, intelligent UX
We can help you develop smart digital assistants that provide swift, personalised responses. Using natural language processing (NLP), computer vision (CV) and deep learning techniques you can transform unstructured content into meaningful data. NLP improves all aspects of computer-to-human communication, so you’ll deliver a new level of user experience that boosts acquisition and retention.
We’ll take your data requirements and create powerful analytical modules that help you identify insight gaps, spot opportunities, improve your business outcomes and tighten your operational efficiency through tools like automation, process optimisation and predictive analytics. By improving data management, you’ll be empowered to drive an effective digital transformation, enable accurate predictions, gain valuable customer insights, make smarter business decisions while navigating risks and decreasing your operational costs.
- A data analytics and modelling module
- Predictive/optimisation model microservices where needed
- All necessary documentation and source code
- Data flow consultancy, reporting, presentations and demo sessions
- Pre-agreed and guaranteed quality level
- Analytics models’ deployment
- We have one of the largest dedicated data science teams in Ukraine, with the skills and experience needed to define the best set of approaches and practices for your data modelling requirements.
- Our team of data science experts has decades of experience building machine learning models and successfully delivering complex data science projects. We help businesses across a range of sectors to reach their business objectives by yielding intelligent insights and making sense of – and action – their data.
- ELEKS` data science consulting services provide you with a cost-effective way to test your ideas and hypotheses by honing in on the most relevant and efficient roadmap for your data science project.
- Our data scientists combine mathematics and software development expertise with a keen understanding of business operations and domains (finance, microeconomics, resource management, security, agriculture, logistics etc.) – giving our data science services a distinct advantage over the competition.
- Creating your analysis and data modelling roadmap.
- Developing predictive modules.
- Acquiring access to any required assets.
- Creating optimisation/factor analysis modules.
- Creating an initial hypothesis based on data understanding and requirements.
- Collating insights then validating and interpreting the model’s performance.
- Information retrieval and insights extraction from data.
- Developing technical and graphical descriptions/report(s).
- Data usage and transformation consulting.
- Efficient module deployment (ready to use solution).
- Designing a descriptive analysis module.
Descriptive analytics
We’ll help you interpret historical data to understand the changes that have occurred within your business. In doing so, you’ll gain actionable insights that enhance your business intelligence, aid your decision-making processes and help you optimise your business value chain.
The descriptive analytics approach includes insights extraction, pre-processing and evaluation of anomalies, central tendency analysis and variance – plus evaluation of other key statistical moments: distributions, frequency, dependency and factor analysis, etc.
Predictive analytics
Predictive analysis helps businesses focus their efforts and investments where they’re likely to get the very best ROI. Predictive modelling yields data insights that you can use to instantly qualify leads, quantify successes, predict market demand and effectively manage risks.
Our data science team will validate your model types and provide a first-time baseline, then fine-tune the model and provide any necessary retraining. We’ll also measure performance and confidence intervals for newly-developed predictive models before finalising them, to make sure you get the most from your modelled data.
Prescriptive analytics
Prescriptive analytics is a powerful tool that allows organisations to bolster their decisions with facts and probability-weighted projections, rather than hypotheses. Our team of data engineers will help you obtain summary insights from your modelled data and provide recommendations on how to action them.
Using your predictive analysis outcomes, prescriptive analytics provides solid evidence to support future actions and strategies. This is especially relevant for industries like finance, government and healthcare, where the cost of human error is high.
Process optimisation and automation
We offer comprehensive data science consulting services helping you adopt machine learning algorithms and advanced analytics models to optimise repeatable, time-consuming processes and workflows with smart automation – for example, call centre workload optimisation. This helps you cost-effectively manage your assets while improving parts and inventory management.
You`ll benefit from enhanced controls and data management that enables better decision-making by implementing data science technologies. You`ll also be able to measure and manage performance more easily – reducing your time and budget resources.
