
innData Analytics Private Limited
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Our vision is to radically simplify the way people work with data.
Our mission is to empower customers to transform their businesses into Fact-Based Enterprises.
Our team has diverse range of experience and capabilities to cover :
- Data Engineering, ML & AI Systems
- Modern Data Visualisation Systems
- Cloud & Hybrid cloud Application Development
- DevOps / DevSecOps for Azure, AWS, GCP, Multi and Private Clouds
- Edge Deployments
- Digital Twins
- Hyper Converged Infrastructures
- Cyber Security Solutions
- Central Command Control / SoC / NoC Systems
- Blockchain Applications
- Mobile Applications
We have delivered projects in the below wide range of domains and areas :
- Telecom - Data Analytics, Digital Transformation, Private Cloud,
- Healthcare - Data Engineering, Health Wallet, CMS/HMS, Mobile Apps
- Banking - Data Analytics / Datalake, CRM, Mobile Banking Apps
- Manufacturing - MES, Digital Twins, Data Analytics, AI Apps,
- Retail - Data Analytics, Data Visualisation, Predictive Analytics, Loyalty Apps
- Ecommerce - Data Analytics, Data Visualisation, Mobile Apps
- Logistics - Last Mile Delivery, Vehicle / Route Optimisations, Mobile Apps, Data Analytics, Data Visualisation
- Insurance - Data Analytics, IoT embed Analytics
- Cybersecurity - Ransomware Analysis, Malware Protection, Secure Communication services
- Command Control / SoC / NoC center design and implementation
Our Bespoke cutting-edge AI solutions makes it easy for our business users to interrogate their Data by asking deeper questions and correlating behavior and actions across multiple domains of data (no matter if it's click-streams, mobile apps, social networks, sensors or internal databases) so they can make fact-based decisions, faster.
Keywords
big data analytics, enterprise mobility, product engineering, business intelligence, analytics, product research & conceptualisation, innovation & development, datascience, iot, blockchain, hyperconvergedinfrastructure, research & development
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