Data Lake & Data Pipeline

A centralized repository that allows you to store all your structured and unstructured data at any scale. You can store your data as-is, without having to first structure the data, and run different types of analytics—from dashboards and visualizations to big data processing, real-time analytics, and machine learning to guide better decisions. “Data Pipeline” is a broader term that encompasses ETL as a subset. It refers to a system for moving data from one system to another. The data may or may not be transformed, and it may be processed in real time (or streaming) instead of batches. When the data is streamed, it is processed in a continuous flow which is useful for data that needs constant updating, such as data from a sensor monitoring traffic.

AI & Machine Learning

Artificial Intelligence (AI), including deep learning, machine learning, and predictive analytics place unique demands on data centers, workstations, and devices. Intel® technology for AI can help you create breakthrough results from medical discoveries to autonomous vehicle intelligence.

Data Management & Governance

This is the practice of collecting, keeping, and using data securely, efficiently, and cost-effectively This is the practice of collecting, keeping, and using data securely, efficiently, and cost-effectively. The goal of data management is to help people, organizations, and connected things optimize the use of data within the bounds of policy and regulation so that they can make decisions and take actions that maximize the benefit to the organization. A robust data management strategy is becoming more important than ever as organizations increasingly rely on intangible assets to create value.

Regulatory & Compliance Reports

The know your customer or know your client guidelines in financial services requires that professionals make an effort to verify the identity, suitability, and risks involved with maintaining a business relationship. The procedures fit within the broader scope of a bank’s Anti-Money Laundering policy. Credit risk and different types of liquidity risks are closely linked in the financial system. Credit risk analysis is primarily concerned with pricing and quantifying the risk of corporate bonds and loan portfolios.

Data Migration

With extensive migration experience across telecom, retail, and banking, we blend technical expertise with domain knowledge. In telecom, we’ve amassed best practices, executed global migrations, and prioritize data issue resolution. Our Data Migration Factory Framework streamlines processes with templates, centralized infrastructure, and ready-to-use transformation rules. Automation drives efficiency, from upfront data analysis to ETL-based migration and iterative testing. We ensure precision and reliability in every migration, fostering a seamless transition.

IT Service Management

IT service management (ITSM) is the prevailing paradigm in delivering IT service in most businesses today. It’s lauded as a more efficient, more effective approach to IT. It replaces a model where IT focused less on service delivery and more on systems, and was often isolated from other business operations.

Sales & Distribution Platform

The pandemic has highlighted the fragility of the traditional and fragmented Supply & Distribution networks in the business. The need for consistent and intelligent sales and distribution platform has not been ever more. We can help you leverage technology solutions such as Sales Force Automation, Distribution Management System, Warehouse Management System, Delivery Management System and intelligent tools to improve sales, delivery and in-outlet executions.