Data Science Consulting Services | Unicsoft

Unicsoft helps organizations to unlock the potential of their data in extraordinary ways.

Whether you look for ways to increase the personalization of customer relationships, achieve excellence in your operations, or innovate your business and strategy, we are one of the best partners for that purpose.

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Today, you can implement the end-to-end data analytics strategy from accessing, preparing and analyzing data to automating business processes, improving customer experience and monitoring results.
Here are just a few benefits of applying data science to your business operations:
  • Increased excellence of business processes including customer experience personalization
  • Understanding purchasing choices and automating customer experience
  • Accurately tracking the performance of sales, marketing and finance departments
  • Transparent benchmarkung based on historical and current business data
  • Instant alerts on data anomalies and customer issues
  • Comprehensive analytics that can be shared in real time across multiple departments.

Good data analysts are in short supply, and inexperienced specialists are rarely helpful. In this case, you may need the help of Unicsoft.

Get in touch
We have been working with medium and large enterprises’ data for more than a decade, and our portfolio includes dozens of successful cases. Get in touch

Сhallenges to be aware of before implementing your data science strategy

Take a look at the potential challenges you may face when implementing data science practices. Consider possible complications before drawing up a data science strategy and choosing development partners.
Numerous data sources

Today, enterprises store data in dozens of business applications and CRM systems. All of them are spread across multiple databases. This can make data collection and analysis difficult for data scientists. Make sure you have a data collection process in place before hiring data engineers.

Data security requirements

Before you start working with data, make sure you understand all the security requirements. In general, there are three of them: сonfidentiality, integrity, accessibility. While aggregating, cleaning and analyzing data, not one of these requirements can be violated.

Vague understanding of business problems

Before attracting data science specialists, you must make sure that data science is really the best tool for solving your business problems. Consult experts before investing in data science solutions since not all business issues can be solved by data analysis.

Difficulties in finding great specialists

When engaging data scientists, you should check their AI and ML qualifications, and their understanding of business processes. With no business qualification, you will get engineers who work in the blind. Considering the shortage of qualified AI specialists, it isn’t easy to find the perfect match for your needs.

Data science consulting services

Complete business analytics assessment

Complete business analytics assessment

We systematically investigate your current business processes, data management system, and decision-making model, while determining your key strengths and weaknesses in working with data.
Business value mapping and strategy

Business value mapping and strategy

We evaluate the key growth points for your business and suggest data metrics to base your analysis on, while determining data mining automation approaches.
Go-to analytics roadmap development

Go-to analytics roadmap development

We compile a step-by-step implementation guide that covers analytical models development plan, resources needed, business KPIs to track.
Machine learning identification model

Machine learning identification model

We help you build a machine learning model from scratch that will provide long-term insights into your business’s growth and production processes.
Forecasting model implementation strategizing

Forecasting model implementation strategizing

We will consult you on implementation of forecast models that analyze micro and macro trends in finance, user experience, production, and supply chains.
Insights-driven operations strategizing

Insights-driven operations strategizing

We will help you develop a plan for transforming your operational processes, depending on the data you receive in the course of working with analytics.
Get in touch for a consultation. Initial consultations are free and we'll help you plan your data science project and formulate the requirements.
Data science consulting services for scaling your business. Unicsoft specializes in developing custom data science solutions for businesses across multiple industries.
  • Healthcare
  • Banking and Finance
  • Real Estate
  • Insurance
  • IT
  • Human Resources
  • Construction
  • Legal
  • Nonprofits
  • Government

If you’re looking for a data science service provider for a particular use case, here’s what Unicsoft is offering:

01
Predictive analytics

Enhance effective decision making and mitigate possible risks leveraging unstructured data in your business processes.

02
Operational analytics

Identify the bottlenecks of your business processes based on data analysis.

03
Supply chain analytics

Analyze the entire supply chain, from manufacturer and carrier to points of transit, warehouses, and production. Optimize processes and get clear predictions.

04
Customer experience analytics

Analyze and predict future sales, increases or decreases in customer demand, engagement, and churn. Create a personalized user experience.

05
Sales analytics and automation

Analyze traffic and quality of leads, automate their scoring, and create an automated pipeline for your CRM system.

06
HR analytics and automation

Analyze team performance and salaries, identify pay gaps and team satisfaction score, and improve overall HR performance.

Unicsoft is a one-stop destination for organizations looking for a qualified partner to help with data science consulting and implementation.

Learn more about the data science consulting process

01
Meeting with the company’s CTO to define the scope of work.
Meeting with the company’s CTO to define the scope of work. This approach enables deeper cooperation and improves chances of success.
02
Brainstorming with the company’s executives.
Brainstorming with the company’s executives. At this stage, we are discovering what business data is available and how to use it for the purposes of the project.
03
The next step is data collection.
Data accumulated in ERP systems, external sources, reporting of warehouse management systems, electronic document management, receipt systems, employee databases, etc., can all be used as sources.
04
Creation of an integration mechanism (ETL).
Creation of an integration mechanism (ETL). Extracting, transforming, and loading data into storage for further analysis.
05
Determining the feasibility.
Determining the feasibility of using machine learning systems, the scope of their application, and the desired results.
06
Building an information core.
Building an information core, on the basis of which reports will be built. This step is the main and most important stage in the development of a BI system due to the accuracy of the data being displayed depending on it.
07
Visualization.
At this stage, we proceed with building reports based on the generated data model.
08
Automation and integration.
Automation and integration of the analytical system into the business decision-making process.
01. Meeting with the company’s CTO to define the scope of work.
Meeting with the company’s CTO to define the scope of work. This approach enables deeper cooperation and improves chances of success.
02. Brainstorming with the company’s executives.
Brainstorming with the company’s executives. At this stage, we are discovering what business data is available and how to use it for the purposes of the project.
03. The next step is data collection.
Data accumulated in ERP systems, external sources, reporting of warehouse management systems, electronic document management, receipt systems, employee databases, etc., can all be used as sources.
04. Creation of an integration mechanism (ETL).
Creation of an integration mechanism (ETL). Extracting, transforming, and loading data into storage for further analysis.
05. Determining the feasibility.
Determining the feasibility of using machine learning systems, the scope of their application, and the desired results.
06. Building an information core.
Building an information core, on the basis of which reports will be built. This step is the main and most important stage in the development of a BI system due to the accuracy of the data being displayed depending on it.
07. Visualization.
At this stage, we proceed with building reports based on the generated data model.
08. Automation and integration.
Automation and integration of the analytical system into the business decision-making process.

What our clients say

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Here’s what clients are saying about Unicsoft’s data science consulting services

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F.A.Q.

Why should I choose Unicsoft as my data science consulting company?plus
Our experience and expertise speaks for itself. We have been working with data collection and analysis systems for more than 10 years, and we are also confirmed experts in the field of business solutions based on AI and ML systems. Check out our client stories, as well as reviews on platforms like Clutch.
How can my business benefit from your Data Science consulting services?plus
Here’s what Unicsoft’s data science system delivers to your business:
  • Intuitive and flexible work with data
  • Efficient and comprehensive use of large amounts of data
  • Prompt management decision making based on data from disparate systems
  • Ability to quickly respond to system changes and identify the reasons for such changes
  • What is your approach to data science consulting?plus
    We provide clients with maximum flexibility and do not impose solutions that are convenient for us. We work with the widest range of technologies and methodologies such as:
  • Statistics methodology
  • Non-NN machine learning methodology
  • Deep learning and neural networks
  • and we speak almost every well-known programming language and framework, including:
  • Mahout
  • Caffe
  • MxNet
  • TensorFlow
  • Torch
  • OpenCV
  • Data science allows businesses to analyze all their data (real-time, historical, unstructured, structured, qualitative) to identify patterns and generate valuable insights.
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