Sergii Chyrkov

Co-Founder and CTO

Building Data Analytics Solutions for Different Domains

A data analytics company, ScienceSoft helps businesses from 30+ industries integrate, aggregate, and analyze various data types from multiple data sources to address their most ambitious needs at department and enterprise levels.

  • By Industry
  • By Analytics Area

  • Healthcare analytics

  • Banking analytics

  • Insurance analytics

  • Lending analytics

  • Investment analytics

  • Manufacturing analytics

  • Retail Analytics

  • Transportation and Logistics Analytics

  • Real Estate Analytics

  • Professional Services Analytics

  • Energy & Utilities Analytics

  • Oil & Gas Analytics

  • Telecoms Analytics

  • Education Analytics

  • Travel and Hospitality Analytics

  • Media & Entertainment Analytics

Healthcare analytics

Healthcare Provider Analytics:

  • Monitor patient health conditions and generate alerts based on specific conditions.
  • Optimize patient treatment through AI-powered strategies.
  • Assess patient risks and recommend personalized care plans.
  • Identify trends that signal a need for medical attention.
  • Detect fraud within healthcare insurance systems.
  • Predict medical staff workloads and optimize shift schedules.
  • Optimize the use of clinical space and equipment.

Contract Research Organizations

  • Develop insights for optimized study designs, including trial site comparisons and historical trial analytics.
  • Monitor enrollment rates and patient disposition throughout trials.
  • Analyze trial findings, including pharmacology and medical device parameters.
  • Provide alerts and forecasts for adverse events.
  • Optimize laboratory operations and inventory management.

Medical Laboratory Analytics

  • Track lab operational KPIs, such as turnaround times and test costs.
  • Implement predictive maintenance for laboratory equipment.
  • Improve inventory management and demand forecasting.
  • Utilize quality control analytics and automated test result interpretation.

Banking Analytics

  • Continuously monitor indicators of bank stability.
  • Forecast institutional performance
  • Provide insights into customer service management and market risk mitigation.
  • Implement fraud detection and compliance monitoring systems.
  • Implement fraud detection and compliance monitoring systems.

Insurance Analytics

  • Use AI to tailor insurance recommendations for specific customer segments.
  • Monitor underwriting profitability and conduct scenario modeling.
  • Leverage predictive and prescriptive analytics for better insurance planning and optimization.
  • Analyze operational processes to enhance claims processing and customer service.

Lending Analytics

  • Assess borrower creditworthiness and predict default risks.
  • Analyze the performance of lending products.
  • Optimize loan portfolios and operational processes.
  • Maintain continuous compliance and alert systems.

Investment analytics

  • Analyze portfolio performance and benchmark assets.
  • Conduct risk exposure and performance attribution analysis.
  • Monitor market, credit, and liquidity risks.
  • Assess tax management and ensure compliance with regulatory standards.

Manufacturing Analytics

Manufacturing analytics is centered around enhancing operational efficiency and product quality, focusing on the following key areas:

  • Power Consumption Forecasting: Analyzing energy utilization patterns to optimize power consumption and reduce costs.
  • Overall Equipment Effectiveness (OEE) Analysis:
  • Evaluating and optimizing the effectiveness of production equipment to maximize uptime and performance.
  • Manufacturing Process Quality Optimization: Implementing quality control measures to minimize defects and enhance product reliability.
  • Equipment Maintenance Scheduling: Developing proactive maintenance schedules to maintain equipment performance and reduce downtime.
  • Production Loss Root Cause Analysis: Identifying and addressing the underlying causes of production losses to improve efficiency and output.

Retail Analytics

Retail analytics focuses on performance improvements and market understanding to drive sales, including:

  • Demand Forecasting: Utilizing data to anticipate consumer demand and optimize inventory levels accordingly.
  • Inventory Optimization: Streamlining inventory management across multiple levels to minimize excess and shortages.
  • Merchandising Planning: Informing assortment decisions to ensure optimal product offerings tailored to customer preferences.
  • Promotion Optimization: Delivering data-driven recommendations for effective promotional strategies to enhance sales.

Transportation and Logistics Analytics

Transportation and logistics analytics streamline operational efficiency through:

  • Operational Capacity Planning: Analyzing shipment schedules and resource availability to optimize logistics capacity.
  • Predictive Maintenance for Vehicles: Utilizing predictive analytics to foresee vehicle maintenance needs and recommend actions.
  • Vehicle Demand Forecasting: Projecting future vehicle requirements for enhanced fleet management.
  • Fuel Consumption Prediction: Estimating fuel needs based on driving behavior analysis for cost efficiency.
  • IoT Analytics for Cargo Safety: Employing IoT data to monitor cargo conditions and driver performance for secure transport.

Real Estate Analytics

Real estate analytics guide investment decisions and portfolio management by:

  • Market Trend Analysis: Providing insights into property values and market dynamics to assist investors.
  • Automated Buyer-Seller Matching: Facilitating customer-specific property recommendations for enhanced sales opportunities.
  • Portfolio Management: Comprehensive tracking of property expenses and cash flow forecasting for effective asset management.
  • Performance KPI Monitoring: Calculating rental and occupancy rates to measure property performance.
  • Predictive Property Insights: Utilizing analytics to forecast property values and potential market transactions.

Professional Services Analytics

Professional services analytics enhance business performance by:

  • Customer Segmentation: Enabling automated customer-agent matching and targeted service offerings.
  • Sentiment Analysis: Assessing customer feedback to drive improvements in service quality.
  • Operational Efficiency Training: Analyzing processes to enhance staff performance and workflow efficiency.
  • Resource Needs Forecasting: Applying predictive analytics for optimizing staff allocation and resource management.
  • Financial Health Monitoring: Detecting potential revenue leakage and streamlining profitability strategies.

Energy & Utilities Analytics

Energy and utilities analytics ensure optimal resource management through:

  • Continuous Monitoring: Real-time oversight of energy production and distribution to identify optimization opportunities.
  • Renewable Energy Analysis: Evaluating the adoption of renewable resources within the energy grid.
  • Predictive Maintenance Strategies: Enhancing maintenance practices to minimize unexpected downtime.
  • Consumption Pattern Analysis: Understanding energy usage trends to inform resource allocation.
  • Demand Forecasting: Predicting energy needs to ensure supply meets future demands efficiently.

Oil & Gas Analytics

Oil and gas analytics drive operational excellence in resource extraction and management by:

  • Exploration Optimization: Utilizing analytics to pinpoint ideal drilling locations and reserves estimation.
  • Forecasting Production Rates: Predictive analytics for assessing future production capabilities and outcomes.
  • Preventive Maintenance Techniques: Implementing analytics to prevent equipment failures and streamline operations.
  • Environmental Impact Assessments: Analyzing the ecological implications of extraction processes.
  • Real-Time Monitoring Solutions: Ensuring immediate alerts for assets across production, transportation, and storage operations

Telecoms Analytics

Telecoms analytics focus on enhancing network efficiency and customer satisfaction by:

  • Network Performance Monitoring: Continuously analyzing network metrics to improve capacity forecasting and resource allocation.
  • Churn Prediction: Gleaning insights into customer management to mitigate churn and tailor service offerings.
  • Operational Bottleneck Identification: Leveraging analytics to pinpoint inefficiencies and recommend improvements.

Education Analytics

Education analytics aim to enhance learning experiences and outcomes by:

  • Feedback Analysis: Collecting insights from students and parents to refine teaching methodologies and environments.
  • Performance Monitoring: Analyzing student achievements to identify areas needing intervention.
  • Resource Allocation Forecasting: Utilizing data to anticipate enrollment trends for better resource management.
  • Financial Analytics: Assessing grants and budget allocations for sound financial planning.
  • Teacher Performance Insights: Evaluating educator effectiveness and developing strategies for talent attraction and retention.

Travel and Hospitality Analytics

This area focuses on optimizing guest experiences and operational efficiency:

  • Customer Interaction Tracking: Analyzing feedback and preferences to enhance relationship management.
  • Service Quality Analytics: Conducting performance assessments of services and staff to improve operational standards.
  • Personalized Recommendations: Providing real-time suggestions based on individual customer preferences.
  • Pricing Optimization Strategies: Leveraging data analytics to adjust pricing based on demand and market conditions.
  • Demand Forecasting: Predicting service requirements to maximize revenue in accommodations and travel.

Media & Entertainment Analytics

Media and entertainment analytics enhance audience engagement and content success through:

  • Audience Segmentation: Identifying audience demographics and behaviors for targeted content delivery.
  • Engagement Analytics: Understanding cross-platform audience interactions to tailor marketing efforts.
  • Personalized Content Recommendations: Delivering real-time content suggestions based on viewer preferences.
  • Content Success Forecasting: Analyzing data to predict content demand and popularity trends.
  • Marketing Effectiveness Tracking: Monitoring and adjusting marketing campaigns based on performance analytics.

  • Financial Analytics

  • Supply Chain Analytics

  • Marketing and Sales Analytics

  • Customer Analytics

  • Asset Analytics

  • HR Analytics

Financial Analytics

Financial analytics involves monitoring revenue, expenses, and profitability of a company.

Key activities include:

  • Profitability analysis and financial performance management
  • Budget planning and formulating long-term business plans
  • Financial risk forecasting and management

Supply Chain Analytics

Supply chain analytics focuses on optimizing the supply chain by:

  • Identifying demand drivers and forecasting consumer demand
  • Monitoring and evaluating supplier performance
  • Optimizing routes and inventory levels to prevent stockouts
  • Identifying patterns and trends to manage supply chain risks

Marketing and Sales Analytics

Marketing and sales analytics involves analyzing
sales data to:

  • Identify and predict sales trends
  • Conduct product performance analysis and competitor benchmarking
  • Design pricing strategies and track customer interactions
  • Optimize sales channels and conduct customer churn analysis

Customer Analytics

Customer analytics aims to understand customer behavior and preferences by:

  • Conducting customer behavior analysis and predictive modeling
  • Segmenting customers for targeted sales and marketing campaigns
  • Offering personalized cross-selling and upselling offers
  • Predicting customer attrition and managing churn risk

Asset Analytics

Asset analytics involves monitoring and optimizing asset performance by:

  • Tracking asset usage and scheduling maintenance
  • Developing asset investment plans and modernization strategies
  • Conducting predictive and preventive maintenance
  • Analyzing asset performance and planning disposal strategies

HR Analytics

HR analytics focuses on optimizing employee performance and experience by:

  • Monitoring and analyzing employee and department performance
  • Conducting employee experience and satisfaction analysis
  • Optimizing employee retention and hiring strategies
  • Analyzing labor costs and developing strategies to reduce them
Ready to Transform Your Ideas?

A-listware: Your Partner in Data Analytics

  • A-listware is the top data analytics provider for your businesses. Thanks to our agile approach, we can set up a dedicated team of competent and trustworthy professionals handpicked from a base of over 100,000 candidates.
  • Our professional software developers provide the highest-quality, most secure, and most responsive digital solutions according to your needs, transforming raw data into actionable insights.

Microsoft .NET
Java
Typescript
C/C++
Python

How You Benefit from A-listware as Your Analytics Partner

Data is at the core of modern business solutions, driving innovation across multiple sectors. Henceforth, gathering, assessing, and storing data properly is crucial. Here is what you can gain from securing A-listware as your data analytics company:

Informed Decision-Making

Data analytics allows businesses to base decisions on solid data rather than intuition or guesswork. By having A-listware analyze the current trends and market demand for you, you can make more accurate and confident decisions, reducing the risk of errors or misjudgments.

Improved Efficiency and Productivity

A-listware’s services help identify misfires in business processes. Companies can boost their operations, reduce costs, and improve overall productivity by understanding where resources are being wasted or not used properly.

Enhanced Customer Understanding

Businesses can use data analytics from A-listware to gain deeper understanding of your customers behavior, preferences, and needs. This enables companies to personalize experiences, improve customer satisfaction, and increase loyalty.

Risk Management

Data analytics is vital for identifying and mitigating risks. Companies can predict potential problems by analyzing historical data, such as financial risks, supply chain disruptions, or cybersecurity threats. Early detection allows organizations to take preventive measures and minimize potential damage.

Cost Savings

Analytics services can help companies identify unnecessary expenses and optimize resource allocation. For example, supply chain analytics can lead to better inventory management, reducing excess stock and associated holding costs. Similarly, predictive maintenance can help businesses avoid expensive equipment failures.

Competitive Advantage

By effectively leveraging data, companies can stay ahead of competitors. Analytics services provide insights into market trends, customer preferences, and competitor strategies.

Enhanced Innovation

Data analytics can fuel innovation by uncovering new opportunities. For instance, businesses can use exploratory data analysis to identify untapped markets or create new products based on growing customer demands. Analytics-driven innovation helps companies adapt quickly to changes in the market.

Better Marketing Strategies

Analytics helps businesses refine their marketing efforts by identifying which strategies and campaigns are working and which aren't. With this information, companies can optimize their marketing spend, target the right audience, and measure campaigns' return on investment (ROI) more effectively.

Real-Time Insights

Data analytics services, especially those with real-time capabilities, provide immediate feedback. This is crucial for industries where quick decision-making is essential, such as retail, finance, or healthcare. Real-time analytics allows companies to respond to changes or crises as they happen, providing a distinct advantage.

Personalization and Customization

Analytics enables businesses to offer highly personalized products, services, or recommendations. By analyzing customer data, companies can tailor offers to specific user needs, enhance customer experience, and drive sales

Better Financial Performance

Organizations can use financial analytics to forecast revenue, manage expenses, and enhance profitability. Understanding vital financial trends helps companies make informed budgeting, investment, and strategic decisions, ultimately improving their bottom line.

Improved Forecasting

Predictive analytics allows companies to forecast future trends, demand, or behaviors. Whether it's sales forecasting, demand planning, or anticipating shifts in consumer behavior, accurate predictions enable better resource planning and strategic alignment with future opportunities.

Our Data Analytics Portfolio

Data analytics can be applied to multiple companies regardless of their business sphere. Study the examples of A-listware’s past projects and the algorithms used to achieve their success.

Sales Performance Analysis for an Online Retail Store

Analyzing a company's sales data to identify critical trends, seasonal patterns, and factors influencing sales performance.

Key takeaways:

  • Data Cleaning and Preparation:
    Ensured data integrity by handling missing values and outliers.
  • Sales Trend Analysis:
    Built time-series visualizations to track monthly, quarterly, and yearly sales trends.
  • Product and Region Performance:
    Identified top-performing products and regions using descriptive statistics and pivot tables.
  • Seasonality and Demand Forecasting:
    Applied time-series forecasting models (e.g., ARIMA) to predict future sales and detect seasonal spikes.

Customer Segmentation and Profiling for a Freelance Platform

Using customer transaction and demographic data to segment the customer base and understand key behavior patterns for targeted marketing.

Key takeaways:

  • Exploratory Data Analysis (EDA):
    Performed an in-depth customer demographics and transaction history analysis.
  • Customer Segmentation:
    K-means clustering was used to group customers based on their purchase behavior, spending habits, and transaction frequency.
  • Customer Profiles:
    Developed personas for each segment, including demographics, average spending, and product preferences, helping the marketing team target specific groups.
    Expert Team for Manufacturing IT Success

Marketing Campaign Performance Analysis for a Legal Company

Evaluating the effectiveness of a multi-channel marketing campaign to determine which strategies were most successful in driving conversions.

Key takeaways:

  • Campaign ROI Analysis:
    Calculated the return on investment (ROI) for each marketing channel (e.g., email, social media, paid ads)
  • A/B Testing Results:
    Analyzed the performance of different email versions using A/B testing to understand which resulted in higher click-through and conversion rates.
  • Customer Conversion Funnel:
    Built visualizations of the conversion funnel from ad engagement to purchase, identifying drop-off points.

Quality Data Analytics Services – Happy Customers

Data analytics solutions from A-listware innovate how companies collect and study data. Our processes are fully automated, so we can quickly conduct profound and detailed analyses of large loads of data and achieve accurate results. 

They stayed within our budget and scope, and their deliverables met our expectations. Quality results to-date make re-engagement for further development likely. The project’s through discovery phase benefited successful execution.

author

Jacob Jones

CTO, Kingspan

They stayed within our budget and scope, and their deliverables met our expectations. Quality results to-date make re-engagement for further development likely. The project’s through discovery phase benefited successful execution.

author

Jacob Jones

CTO, Kingspan

They stayed within our budget and scope, and their deliverables met our expectations. Quality results to-date make re-engagement for further development likely. The project’s through discovery phase benefited successful execution.

author

Jacob Jones

CTO, Kingspan

How We Ensure Smooth Sailing of Our Projects

A-listware approaches every project with tailor-made solutions for data gathering and analysis. Our main pillars of success include:

  • Clear objectives

    Before getting down to business, we set the goal of a particular analysis and define which methods we will use in the process.

  • Collaborative involvement

    We communicate with the business owner at every stage of the process, aligning our results with their expectations.

  • Skilled team

    A-listware has a team of skilled data scientists, analysts, and engineers proficient in the necessary tools, techniques, and best practices.

  • Efficient data visualization

    We use data visualization tools to present complex data comprehensively and in detail.

  • Careful tool selection

    We handpick the most effective tools for each task, thus maximizing the productivity of every project.

  • Ongoing support

    Our experts stay in touch with entrepreneurs throughout the project and after the analytics is ready. This allows us to provide consultations concerning particular parts of the data and the tools we used to gather and study them.

Data Analytics Services & Costs at A-listware

A-listware offers flexible service options to meet any data analytics needs. The cost of data analytics services can range from $5,000 to over $1,000,000, depending on the type of service and the complexity of the analytics requirements. Key cost factors include but are not limited to:

  • Quality and complexity of the data;
  • Specifics of data processing (batch or real-time);
  • Characteristics of existing infrastructure and data sources;
  • The need for big data and ML/AI technologies.

Our Solutions – from Automation to Advanced Data Analytics

Business Intelligence (BI)
Business Intelligence collects, analyzes, and presents business data to help organizations make informed decisions. BI tools from A-listware enable companies to identify trends, track performance, and optimize operations.
Big Data
Big Data is a massive volumes of structured, semi-structured, and unstructured data generated by businesses and digital platforms. Big Data technologies (e.g., Hadoop and Spark) store, process, and analyze this data to uncover patterns and trends that inform decision-making.
Data Warehousing
It involves collecting and managing large amounts of data from various sources in a central repository. It stores historical data and is designed to support querying, reporting, and analysis. 
Data Management
Data Management encompasses the practices, policies, and technologies that ensure the effective handling, storage, security, and availability of data across its lifecycle. 
Data Science
Data Science uses statistical, programming, and analytical techniques to extract insights from data. It combines data analysis, machine learning, and visualization to solve complex problems. Data scientists at A-listware use large data sets to build predictive models and help businesses make informed decisions.
Machine Learning
A subset of artificial intelligence that involves algorithms. It allows computers to learn from data and make predictions or decisions without being explicitly programmed. 
Deep Learning
A more advanced kind of ML that uses artificial neural networks with multiple layers to design complex patterns in data. It is often applied to tasks such as image recognition, natural language processing, and autonomous systems.

Let's Chat About Your Goals!

FAQ

What are data analytics services?
Data analytics services from A-listware allow you to analyze essential data for your business and thus improve its operations. Our experts diligently gather data and use multiple testing methods to achieve the best results tailored to your needs.
Why use data analytics services?
Data analytics services from A-listware allow you to analyze essential data for your business and thus improve its operations. Our experts diligently gather data and use multiple testing methods to achieve the best results tailored to your needs.
Which industries does A-listware serve?
Data analytics services from A-listware allow you to analyze essential data for your business and thus improve its operations. Our experts diligently gather data and use multiple testing methods to achieve the best results tailored to your needs.
Who is a data analytics service provider?
Data analytics services from A-listware allow you to analyze essential data for your business and thus improve its operations. Our experts diligently gather data and use multiple testing methods to achieve the best results tailored to your needs.
What is the cost of data analytics services?
Data analytics services from A-listware allow you to analyze essential data for your business and thus improve its operations. Our experts diligently gather data and use multiple testing methods to achieve the best results tailored to your needs.

Our Insights