Using a wide array of technologies, NTPL can provide solutions for your data analytics, big data, Machine Learning, Deep Learning, data science and Blockchain needs.
Nihon Technology recognizes the importance of data and analysis of business models moving from traditional set-up to new and evolving models driven by SMAC.
Nihon Technology creates the analytics practice considering the following points. (a) Expand service provision to customers (b) Capitalize huge business opportunities in the analytics space (c) Providing added value to existing customers with proactive analytics POC / Solutions. Nihon Technology's senior management team consists of experts who has extensive experience in banking, pharmaceuticals and manufacturing, and they understand the importance of data in business strategy, operations and governance.
Blockchain is revolutionizing the world of information technology, and Nihon Technology is ahead of the race by developing proof of concept and demonstrating potential changes to your business. Below is the diagram of blockchain technology vs. conventional technology.
Nihon Technology has developed a popular blockchain technology platform and the relevant technical skills needed to develop applications.
Expertise in open source and COTS tools to automate and continuously integrate (CI/CD) & monitor Infrastructure and Application components seamlessly. We follow Lean & Agile methodologies and ITIL & COBIT frameworks throughout the life cycle.
Big Data Engineering & Analytics
Data Science (AI, ML/DL)
Cloud Solutions & Services
WHO WE ARE
WHAT WE DO
HOW WE DO
Data-driven strategies of the banks to deliver more value to current customers are:
Infrastructure support covers multiple systems and networks with various points of potential failure. Organizations are struggling to integrate reports and alerts from various sources into central enterprise-wide dashboards for effective management and reporting.
Nihon Technology implements an analytical solution that integrates and tracks key performance indicators from various source systems. Further, allows users and administrators to access central dashboards with two levels of context-sensitive drilldown, as necessary.