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Building Data Analytics Solutions for Different Domains

Tailored Analytics Solutions that Speak Your Industry's Language.

Data analytics implies building an infrastructure for data aggregation, analysis, and reporting. 34 years in data analytics services, ScienceSoft delivers tailored business analytics solutions and helps companies plan future actions based on historical insights.


Key Features

Data Analytics Key Features

Data analytics encompasses a wide range of capabilities, but here are some of the most common and crucial features.

With top of the line features

  • Travel and hospitality.
  • Professional services analytics
  • Education analytics.
  • Telecoms analytics.
  • Oil & gas analytics.
  • Energy & utilities analytics.
  • Lending analytics.
  • Real estate analytics.
  • Insurance analytics.
  • Investment analytics.
  • Banking analytics.
  • Transportation and logistics analytics.
  • Retail analytics.
  • Healthcare analytics.
  • Cloud-based solutions.
  • Manufacturing analytics.

security and compliance

  • access control and multi-factor user authentication.
  • role-based permissions.
  • versioning and audit trail.
  • content retention and deletion policies.
  • technical compliance (e.g., wcag 2).
  • industry-specific compliance (e.g., glba, sox, hipaa).

Why Data Analytics

  • Conceptualization stage
    • Analyzing a company’s information architecture and content management workflows.
    • Defining the Data Analytics System needs.
    • Outlining a clear solution’s scope.
    • Specifying the future Data Analytics users and their roles.
  • Planning stage
    • Crafting a Comprehensive Data Analytics Management Approach.
    • Defining the core Data Analytics features.
    • Creating a Data Analytics requirements specification.
    • Choosing a suitable platform/tech stack.
    • Planning Data Analytics integrations with enterprise systems.
    • Creating a Data Analytics development plan with tailored sets of KPIs and accurate estimates of the required efforts and investments.
  • Design stage
    • Designing Data Analytics management workflows.
    • Outlining personas, mapping convenient user journeys, and creating a sleek visual style for the Cutom Data Analytics app.
    • Building Data Analytics prototypes.
    • Conducting usability testing of the prototypes.
  • Development stage
    • Developing a Data Analytics solution from scratch or on the basis of the chosen platform.
    • Integrating the solution with the necessary corporate and third-party systems.
  • Testing and QA stage
    • Creating a Data Analytics test plan, test scenarios and test cases.
    • Conducting comprehensive Data Analytics testing.
    • Fixing the defects detected during the testing.
  • Data migration stage
    • Creating a data migration plan.
    • Defining the content eligible for migration.
    • Checking the legacy content for errors and duplication, outdated or inconsistent data.
    • Conducting content migration.
    • Testing the transferred data and content.
  • Creating comprehensive documentation on the use.
    • Conducting training sessions for Data Analytics users.
    • Performing user acceptance testing.
    • Collecting user feedback and implementing relevant improvements.
    • Launching the Data Analytics to the production environment.
  • After-launch support stage
    • Resolving user issues.
    • Adjusting the solution to the changing business needs.
    • Monitoring and improving Data Analytics regulatory compliance.
    • Providing regular reports on the health with recommendations on potential improvements.

CUSTOM Development Process


  • Navigation Wireframe
  • Responsive UX/UI Design
  • Attractive Retinal Catching Content Stacks
  • Cross Browser Support
  • Dynamic Instant Landing Alert
  • News Highlights On The Go
  • Events listing with live Maps support
  • System Administartion Panel
  • Statistics Administration Dashboard
  • Instant Alert Popup Publish Module
  • Events Management Module With Integrated Maps Support
  • News Updates Publishing Module

Custom Data Analytics Success Factors


Let's Get Started

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Customized Data Analytics development

  • Create an optimal feature set.
  • Select a tech stack for implementation.
  • Design architecture and UX/UI.
  • Develop and test a solution.
  • Conduct user training.
  • Perform support and evolution (on demand).

Platform-based Data Analytics development

  • Select a fitting platform.
  • Configure, customize, and integrate your solution with legacy or third-party systems.
  • Provide QA and user training.
  • Perform support and evolution (on demand).

Multi-tier software support services

To address your software issues more efficiently, We offers three distinct packages differentiated by their coverage and spanning L1, L2 and L3 tiers of technical support.

First-line support

  • Our technicians will handle user-side issues and minor glitches in your application before they escalate into service-disrupting problems. At this level, we analyze user information and resolve issues without delving into the code.
  • Design Architecture, UX and UI of a Assessment-PRO module.
  • Develop a module and integrate it with your Assessment-PRO Software solution.
  • Provide Assessment-PRO module QA.


  • When the root cause is in a system deficiency, our expert troubleshooting team will investigate the issue, detect and fix bugs, or perform performance-critical configurations, installations, and updates.

Advanced support

  • To deal with the most advanced, never-faced-before issues, Itransition involves high-skilled architects and engineers who will investigate the source code to remedy disruptions, optimize back-end functionality, and enhance the system with new transformative features.

Data Analystics Highlights

In today's data-driven world, ignorance is not bliss, it's a liability. The vast oceans of information we generate hold untapped potential, waiting to be unlocked by the power of data analytics.

All things in one platfrom

Manufacturing analytics

  • Overall equipment effectiveness analysis and optimization. Manufacturing process quality optimization. Equipment maintenance scheduling. Power consumption forecasting and optimization. Production loss root cause analysis.

Healthcare analytics

  • Patient health condition monitoring, condition-based alerting. Patient treatment optimization. Assessment of patient risks and personalized care plan recommendations. Proactive care (defining trends and patterns in patient condition requiring a doctor’s attention). Fraud detection in healthcare insurance. Medical staff workload prediction and work shifts optimization. Optimization of clinical space and equipment usage.

Retail analytics

  • Retail business performance analysis, monitoring sales and profitability. Demand analysis and forecasting. Multi-echelon inventory optimization. Assortment and merchandising planning and optimization. Data-driven recommendations on optimal product promotion activities.

Transportation and logistics analytics

  • Operational capacity planning and optimization based on the analysis of incoming shipments, customer delivery schedules, vehicles availability, and personnel shift schedules.Predictive analytics for vehicle maintenance (failure prediction, recommendation of maintenance actions, etc.).

Banking analytics

  • Continuous monitoring of bank stability indicators. Institution performance forecasts. 360-degree view of customers. Identifying cross-selling and upselling opportunities. Insights into customer service management. What-if modeling for timely mitigation of market, credit, and operational risks.

Investment analytics

  • Portfolio performance analytics with asset-specific benchmarking.Factor exposure, performance attribution, and risk attribution analysis.

Insurance analytics

  • AI-powered insurance recommendations tailored for certain customer segments. Finance analytics with underwriting profitability monitoring and product-specific scenario modeling. Monitoring insurance-related risks with stress testing.

Real estate analytics.

  • Providing insights into market trends and analyzing property values to support informed investment decisions. Comprehensive portfolio management with expenses tracking and cash-flow forecasts.

Lending analytics

  • Providing insights into borrowers' creditworthiness and predicting default and NPL risks. Lending products performance analytics. AI-powered recommendations for loan portfolio optimization.

Energy & utilities analytics.

  • Continuous monitoring of energy generation and distribution assets performance with AI-powered optimization recommendations. Analyzing renewable energy share in the energy grid. Predictive and preventive maintenance analytics.

Start Your Project

Implement the right software solution.

  • Our experts will analyse your organisation, operations and data to help you define exactly the right enterprise solution for your needs. we’ll help you choose the best fit from the current market, offer custom software development or create a completely bespoke solution tailored to your unique requirements and goals.

Align your teams and enable seamless cooperation

  • Effective collaboration and alignment between teams ensures that your enterprise is able to deliver agility, operational efficiency, customer satisfaction and profitable business growth. We’ll work with you to implement robust enterprise systems that help you manage your data, resources, human capital and business processes to establish alignment at every level of your organisation, right across your value chain.

Create a scalable system for future growth

  • Helping clients evolve their business through scalable software solutions that yield future growth, support geo-diverse site locations and enhance efficiency. Our enterprise software development expertise will help you align your business processes and goals and give you the right tools to support your organisation’s seamless and sustainable growth.

Lower your IT operation’s costs

  • You can build an effective IT cost-optimisation strategy that covers your company’s current and future needs. We’ll analyse your core IT infrastructure and legacy enterprise software, then propose new tools, migration opportunities and optimisation scenarios that produce a more robust IT ecosystem – one that’s easier and more cost-effective to maintain.


  • Experience the Power of Data: Our cutting-edge data analytics software service empowers organizations to unlock the full potential of their data. From predictive modeling to actionable insights, we provide robust solutions tailored to your unique business needs.

Experience the Difference

  • Elevate your data analytics game with our innovative software solutions. From intuitive dashboards to advanced predictive analytics, our platform offers unparalleled capabilities to extract actionable insights from your data. Say goodbye to manual processes and hello to streamlined workflows, enhanced productivity, and smarter decision-making. Discover the transformative power of data analytics and revolutionize the way you do business.



Administrative System Management Features

Our comprehensive suite of administrative system management features simplifies and streamlines the complexities of managing your organization's systems. With robust tools for user management, access control, configuration management, and system monitoring, our platform empowers administrators to efficiently oversee and optimize their IT infrastructure. s

Oil & gas analytics

Exploration management analytics to identify optimal drilling locations and estimate oil and gas reserves. Predictive analytics for estimated ultimate recovery and production rates forecasting. Equipment predictive and preventive maintenance. Environmental impact insights.

Telecoms analytics

Continuous network performance monitoring and analytics to forecast excess capacity areas and optimize network capacity. Providing insights into customer management to foresee and prevent churn, tailor offerings, and increase customer retention.

Education analytics

Analyzing students' and parents' feedback on the quality of teaching and the learning environment to improve the service. Students' performance analytics with alerts on potential intervention. Insights into the patterns of learning platforms usage to enhance teaching and learning outcomes.

Professional services analytics

Multidimensional customer segmentation to enable automated customer-agent matching, effective ad targeting, and personalized services.

Travel and hospitality

Tracking and analyzing customer interactions, preferences, and feedback to optimize customer relationship management. Operational analytics, including service quality and employee performance analysis.

Media & entertainment analytics

Multidimensional audience segmentation with granular comparisons, e.g., demographic breakdown vs. genre audience. Audience engagement analytics with insights into cross-platform customer behavior and preferences. Real-time personalized content recommendations.

Financial analytics

Monitoring revenue, expenses and profitability of a company. Profitability analysis and financial performance management. Budget planning, formulating long-term business plans. Financial risk forecasting and management.

Supply chain analytics

Identifying demand drivers, consumer demand forecasting and planning. Supplier performance monitoring and evaluation. Predictive route optimization.

Sales and product analytics

Sales channel analytics. Pricing analytics to design pricing strategies. Identifying and predicting sales trends. Conducting product performance analysis. Tracking customer interactions with a product to identify pain points leading to churn.

Customer analytics

Customer behavior analysis and predictive modeling. Customer segmentation for tailored sales and marketing campaigns. Personalized cross-selling and upselling offers for extended customer lifetime value.

Asset analytics

Real-time asset monitoring and tracking. Predictive and preventive maintenance, developing asset maintenance strategies. Planning asset investments.

HR analytics

Employee/department performance monitoring and analysis. Employee experience and satisfaction analysis. Employee retention strategy optimization and management.

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Focus on meeting business outcomes with market leading software.


Adapt as ideas evolve without costing extra.


Optimize for team cohesion and speed.


Know how to capitalize on each other's strengths.

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