Insight NxT is an enterprise platform that autonomously derives intelligence from connected ecosystems of workers, machines, locations, and business processes. Advanced data management and analytics tools turn raw data into actionable insights that our clients use to drive informed business decisions, including the deployment of Industry 4.0 initiatives, transitioning from CapEx to OpEx models, or engaging in highly flexible pay-as-you-consume models. The ‘edge to experience’ capabilities of our platform ― coupled with user-friendly AI/ML functionalities ― accelerate necessary digital transformations for every aspect of an enterprise, from engineering and finance to supply chain and manufacturing.
Out-of-the-Box Connectivity
Digital transformation can come with its issues. However, with Insight NxT, clients can experience enterprise-wide out-of-the-box connectivity . Mindtree NXT strategic consultants provide expert IoT and analytics strategies based on best practices that have been refined in hundreds of client engagements.
- 40+ Prebuilt data connectors leveraging common data model
- 5,500 Active digital users
- 38,000 Mobile forms per month
Insight NxT offers prebuilt integrations for various internal and external data sources, simplifying data onboarding and accelerating deployment. The advanced asset management functionality streamlines device management and secures connectivity, while providing customers with a single interface to manage various alerts across their workflows. 40+ Prebuilt data connectors leveraging common data model 5,500 Active digital users 38,000 Mobile forms per month
Simplicity With Common Data Model
The self-service capabilities of our platform bring speed, simplicity, and savings to enterprise data management. Mindtree’s innovative Common Data Model accepts all the many data types that typically exist in an ecosystem, greatly expediting downstream data processing.
These self-service capabilities allow authorized users to access and explore data sets, even if they don't have a background in data science, data mining, or statistical analysis. Users can easily filter, sort, analyze, and visualize data for various use cases without involving enterprise IT teams. Customers across industries as diverse as manufacturing, mining, healthcare, and government, use these capabilities to drive efficiency, enhance customer satisfaction, and improve profitability