AI-driven Advanced Analytics



In the era of digital transformation, organisations have more data than ever before and less room for errors. Release cycle times are shortened and have become a competitive advantage in getting new digital products to customers faster. Aggregating and analyzing their release and quality data, is the basis for organisations for continuous improvement, empowering better decisions to achieve both faster and better-quality releases.

Leveraging technologies such as machine learning and artificial intelligence, semantic analysis, visualization etc., Advanced Analytics enable reliable predictions and generate actionable insights on a deeper level for your projects. Validata Sense.ai is a code-free, code-friendly platform that provides banks and financial services organisations deeper insights through fast data preparation, management and blending, easy-to-use advanced analytics, and simple ways to share these with the key stakeholders for their Continuous Testing and DevOps initiatives.

Each stakeholder can have access to intelligent information needed to make the right decisions, identify bottlenecks, trends and readiness to go live.


Accelerate DevOps and Digital Transformation through:
Improved performance and productivity
‘a single version of the truth’ across your toolchain and projects
Improve collaboration between Dev and Test teams
Predict software delivery
Increased quality of your software releases
Reduce auditing overhead
Increased customer satisfaction


Data Mining
Validata Sense.ai leverages clustering, classifications, and other data mining techniques to deliver real-time insights faster. It pulls data from the full IT stream, from business requirements to production deployment, and consolidates thousands of data points with complex interdependencies for ongoing evaluation of iterative changes.

It is able to analyse data from various sources (production environments, data warehouses, databases, cloud etc.) find previously unknown hidden patterns, classify and group the data and summarise the identified relationships and associations.





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Faster time to insights
Clients have the ability to make decisions that radically improve the quality of their software releases, increase the performance and productivity of their teams and reduce their operational costs.


Release Readiness
Instantly assess your release health and status in a centralised view, to keep track of costs, progress, quality, improving performance and productivity of your teams.
Risk Coverage Optimisation
Precise intelligent insights of the most-at-risk business areas, highlighting the test cases that need to be executed first to detect bugs for these areas much earlier
Defect Analytics
Real-time classification on ARCA (Automated root cause analysis) and AI-generated recommendations on Priority, Severity and ‘time to fix’ with corrective action plans.
Resource Capacity Planning
Automatically creates the task schedule and resource allocation based on the issue criticality, resource load and skillset and alerts on the overdue tasks!
Requirements Management & prioritization
It identifies requirements, tracks changes over time and captures the history of changes to identify the impact on your test plan
Live Impact Analysis
Easily and automatically analyze the impact of change on quality, performance, resources capacity and costs, and apply the recommended changes through a corrective action plan


Predictive Intelligence
Validata Sense.ai enables predictive analytics, for driving decisions and process and boost your quality assessments. The system is trained using historical data and behavior, machine learning, and artificial intelligence. This historical data is fed into a model that considers key trends and patterns in the data, and is then applied to current data to predict what will happen next.

It provides the system of insights to transform the way application delivery teams identify and solve problems and measure results. Because of its ability to predict the testing metrics, it can correct the release policy and drive better business outcomes.
The most compelling benefits of the predictive analytics are:
  • Lower costs
  • Better defect detection
  • Increased efficiency
  • Predict release success or failure

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