Science Services
Data Science consulting to reinvent core workflows with AI
It is our goal to build customized models and systems that meet the exact needs of our clients – no black boxes or one-size-fits-all solutions. We have expertise in behavioral analysis, time series modeling, and mathematical optimization that can be combined to provide you with a unified approach to optimizing your strategy. Click here to read more. By combining data from different sources, data warehouses, and even third parties, we construct data pipelines, which are then fed through a series of custom-tailored models and finally visualized. It provides actionable insights and strategic recommendations while automating tedious tasks such as data wrangling and model tuning.
Key benefits
Some of the benefits of our cloud services
Increased flexibility
You will be able to orchestrate and run workloads in any deployment model. Improve your organization's agility...
Better control
Managing cloud operations, their costs, and their security across a range of deployments through governance
Improved security
A simplified ecosystem, a simplified data governance process, and a simplified security process enable us to enhance our security services, solutions, and advice
What We’ll Take Care of
- Developing a roadmap for your analysis and data modelling.
- Obtaining access to any assets that are required.
- Developing an initial hypothesis based on an understanding of the data and requirements.
- Retrieval of information and extraction of insights from data.
- Consulting on data usage and transformation.
- Developing a module for descriptive analysis.
- Predictive modules are being developed.
- Developing modules for optimisation/factor analysis.
- Compiling insights, validating the model and analyzing its performance.
- Developing technical and graphical descriptions and reports.
- Deployment of modules efficiently (ready-to-use solution).
Who is a data scientist?
- Data scientist - a person who specializes in data science, particularly big data analysis.
- It is the responsibility of the data scientist to combine business knowledge, mathematics, statistics, and programming skills with a wide range of skills.
- Their primary responsibility is to translate the collected data into real business value. Knowing statistics and being fluent in mathematical concepts are extremely important.
- Data quality problems cost companies 20% of their income
Our Expertise
Zonopact has consistently built and developed a strong talent foundation that specializes in supporting client needs with data. From architecting data foundations, we help businesses capture structured and unstructured data, prepare data for modeling, and build algorithms, while deploying these solutions in real-time business environments.
Data Strategy
With our holistic data strategy, we will establish a data-driven culture that will deliver the most valuable business impact. Our Data Scientists will assist you in improving your current data initiatives and identifying new use cases and recommendations.
Data Science and AI Consulting
Our machine learning algorithms and data mining techniques will assist in building scalable architectures, and integrating machine learning pipelines into software and web applications.
Scientific Software Development
Zonopact can design innovative, interactive, and intelligent products that solve real business problems. Our approach to accelerating time to market is based on agile methodologies.
Why do you need data science services?
- Companies benefit from data science consulting services by automating the process of extracting knowledge and insights from a variety of big data sources.
- The ability to make accurate and effective business decisions requires you to base them on reliable observations and predictions, regardless of the industry or sector in which your company operates.
- Utilizing advanced data-based technologies, our data science consulting team will help you better understand your customers, personalize their service, automate and improve business processes.
- By implementing data science solutions successfully, most companies are able to grow revenues and reduce costs.
Uncover key patterns within your data
Tangible insights
Data-driven root cause analysis increased throughput and improved quality
Predictive analytics
A method for predicting failures and identifying corrective measures based on data patterns
Scheduling optimization
Developing algorithms based on empirical knowledge will improve operations
What you get with Zonopact data science services
A data analytics and modelling module
All necessary documentation and source code
Pre-agreed and guaranteed quality level
Predictive/optimisation model microservices where needed
Data flow consultancy, reporting, presentations and demo sessions
Analytics models’ deployment
