Digital transformation services



Blockchain is revolutionizing the information technology landscape and Nihon Technology is staying ahead in the race by developing proof of concepts and demonstrating the change it can bring to the businesses.

Given below is a simple view of Blockchain Vs traditional technology.


Members in the network maintain their own ledgers and other records.

Disadvantages: Expensive, Inefficient, Vulnerable

Members in the network are able to share the transaction records.All have same copy of the ledger.

Advantages: Economical, Efficient, Less Vulnerable

Nihon Technology has developed capability in popular Blockchain technology platforms and the associated technical skills required to develop applications.


  • Developing use cases that can use blockchain
  • Conceptualize the solution
  • Solution Architecture & Design – Identification of core components for Blockchain platform
  • Advisory on choosing the right platform for the specified use case and industry
  • Developing proof-of-concepts for using Blockchain Technology
  • Design, develop and deploy applications using Blockchain Technology
  • Blockchain - Training & project case study

Platforms/Technical capability:

  • Multichain, Hyper ledger Fabric, Ethereum
  • Golang, Angular JS, Node JS, Express JS, C++, Java


  • E-Attestation – Project
  • Cross Border Remittance – POC
  • Insurance (Claims Process) – POC conceptualization
  • Bills Discounting – POC conceptualization
  • Trade & Trade Finance – POC conceptualization
  • E-Procurement – POC conceptualization


Nihon Technology recognizes the importance of data and analytics with business models moving from traditional set-up to evolving new models driven by SMAC.

Nihon has created Analytics Practice with a view to (a) Expand the service offerings to customers (b) Capitalize on the exploding business opportunities in Analytics space (c) Provide value add to existing customers through proactive analytics POC/solutions.

Nihon Technology’s Senior Management consists of professionals who understands the importance of data in business strategy, operations and governance based on their experience from across the industries such as Banks, Pharma, Manufacturing etc.



  • Banking, securities, insurance companies
  • Retail – Consumer packeged goods – E-commerce
  • Education - Libraries, Universities, High-schools
  • Logistics, shipping
Belladati Why

Our Projects

Use Cases

Use case 1: ATM Analytics

Data driven strategy for banks to deliver more value to current customers by

  • Understanding customer usage by location
  • Making better ATM placement decisions
  • Performing real-time monitoring of ATM availability/issues
  • Analysing the failures
  • Speeding up the reporting cycle.
Analysing Failure
Analysing Volumes

Use case 2: Infrastructure Analytics

Infrastructure support spans across multiple systems and networks with various points of potential failures and organizations struggle to integrate the reporting and alerts from different sources into a central enterprise-wide dashboard for efficiently managing and reporting them.

Nihon Implemented an analytics solution that consolidates and tracks all the key performance indicators from various source systems and enable the users and management access to a central dashboard with 2 level context sensitive drill downs as needed.

Infrastructure Analytics
Infrastructure Analytics
Infrastructure Analytics
Infrastructure Analytics


Internet of Things (IoT) Analytics refers to analyzing and examining the data obtained by devices other than computers that are connected to the internet. Sensors, network end devices and other data storing and transmitting equipment are the key components for the collection of data in an IoT environment, upon which analysis is performed.

Use case for Manufacturing and Predictions

Business Problem

Maintenance services have always been important. But as equipment becomes more complex and automated, the resources and skills required to maintain equipment has become scarce and expensive. Equipment owners, or lessees, are seeking alternatives to manage and maintain their precious assets. Preventative maintenance (as opposed to predictive) can be expensive and run the risk of machine failure, urgent remediation activities and unplanned downtime.

Solution using IoT Analytics

The right set of predictive maintenance capabilities can assure that deployment of maintenance teams and equipment parts is done only when really needed, thereby ensuring uptime and product quality at reduced cost.

Our Analytics Solution can bring together the Internet of Things (IoT) and agile analytics into an integrated predictive maintenance solution for manufacturers.

An IoT Data Collector will monitor the real time sensor status and values using an Operational Dashboard. It will raise alerts when semi critical values are reached.

Our solution will then continuously analyze the data and help customers

  • To identify root causes and associated probability of failure.
  • Predict maximum time that machine components can operate before failure within quantified confidence levels.
  • Monitor sensor data to determine equipment condition.
  • Design an intelligent maintenance schedule to focus on critical tasks to provide real-time alerting.


Robotic Process Automation (RPA) is a design of software to be a proxy for a human worker to operate business applications. Unlike traditional automation such as assembly line, toll booth automation, self-checkout counters etc. RPA is about a smart software and application of it to do high volume repeatable tasks that usually considered as mundane and takes a long time for human to perform.

RPA – Evolution:


RPA – Characteristics & Benefits:


RPA Process

A typical RPA solution is represented below:


RPA Capabilities

Nihon – RPA Capabilities:


Nihon Advantages:


Our Projects

Use Cases:

Use Case 1: A/c Payable process:


Use Case 2: Infrastructure Services: