Manage and highlight charts with AI-based novel method
Our AI-based solution supports testers in validating and highlighting graph and chart images when provided with input text.
Simplifying Insights to Improve Business Decisions
Delivering timely, contextual and scalable insights is crucial for enterprise intelligence but remains a challenging task for empowering business decision-makers.
Enabling the data-driven organization
Data quality drives business success in the digital age. With real-time data at the core, poor quality is intolerable. Every interaction generates data, making management and accuracy critical.
Data Quality Framework in Snowflake
Enabling accurate and efficient data cleansing with the solution framework
Dark data assessment: Get insights from unstructured data
Minimize sensitive data exposure and optimize costs with VisualizeNXT and ArchiveNXT. Download the brochure to learn more.
Data Analytics and AI/ML
Discover how our AI and ML solutions can help you democratize data use and become data-driven and customer-centric.
Rapid Analytics
Rapid Analytics is a fully tested and integrated tactical analytics solution delivered in 6-8 weeks
Enterprise quality insights and intelligence platform
Enterprise quality insights and intelligence platform ensures global quality in life sciences via real-time monitoring, data ingestion, and cloud-based enterprise insights.
Protecting data in the digital era
The digital revolution has driven enterprises to embrace cloud adoption, creating interconnected systems and data networks.
AlertAE: Next-gen pharmacovigilance solution
Intelligent identification and classification of adverse events, product quality complaints and clinical queries
What is Digital Analytics?
Digital analytics is the process of analyzing digital data from various sources like websites, mobile applications, among others. It provides a clear vision to the organization on how users or customers are behaving.
The evolving role of data in financial services
Beyond reporting, data is now viewed as a catalyst for innovation in financial services, but ensuring data quality remains a challenge