The success of your business is based on Accurate business intelligence. Any discrepancies in your data can lead to wrong decisions. Even your Analytical tools need to undergo Quality Assurance like any other software system. Indium software with its expertise in both Analytics and QA ensures your analytical application is of the highest quality.
Unlike the traditional QA process, Analytics QA requires specific experience with data. Indium Software’s experienced data engineers know how to handle your raw data and turn them into analytics output that helps you make informed business decisions.
Our Analytics QA team possesses expertise in advanced analytics algorithms, modelling, numerical computing, commercial and open source packages for analytics and data science, and deployment of systems embedding advanced analytics.
Analytics QA Process
Indium software’s QA for analytics helps guide implementation and identify bugs that could turn your judiciously gathered business intelligence into a chaotic mass of unusable data. It also requires experience in the nuances of not only what can go wrong with collecting data but also how data can be incorrectly interpreted into a wholly misleading assessment. Our Quality engineers engage directly with your development teams and operate seamlessly to provide the analytics output that helps get your product to market on time.
Our service offerings ensure that our testing expertise bridges the gap in your analytics process. The following are our capabilities in functional and non-functional testing services.
[Extraction | Aggregation | Bussiness Rules]
- Data Model Analysis
- Boundary Value Analysis
- Static and Dynamic Value Simulations
- Data Types (Consistency & Relevance)
[Navigation | Search | Sort and Filter | Paging]
- Role Based View
- Navigation Flow
- Schedulers / Timeliness
- User Interactivity
- Response time and Authenticity
- Sequence of Feature Actions
- Component Dependent Matrix
- Requirement Traceability
- Design and Alignments
- Responsiveness (Dynamic Resizing During Run Time Scenarios)
- UI Adaptability Scenarios
- Design Conventions
- Navigation Tools, Readability and Hygiene Components
- Accessibility Testing
- Data Source Compactability
- Browser Compactability
- Platform Compactability
- Device Compactability
- Performance / Stress Testing
- Integration Testing
- Security Testing
- Migration Testing
Seasoned QA Experts
Experts who have loads of industry knowledge and can understand the domain.
Define a dynamic process depending on the fluctuating requirement
Engaging the right people
Our team is a mix of QA analyst and Data Engineers.
Efficiency through Automation
Our QA team can design custom validators that ease data validation task and improves data accuracy