Prodapt Red Book

We are very proud to present you with our Red Book. The Red Book explores Prodapt’s view of the connected world. And especially the part Prodapt plays in it.

Prodapt foundation

We are on a sustainable endeavor towards making a positive difference to the world we operate in.

Leadership team

Highly driven individuals with diverse experience and strong business acumen that have a shared vision of inspiring, innovating, and impressing.

Diversity and inclusion

We believe in connecting people from diverse backgrounds to achieve our collective goal of accelerating Connectedness™.

Massively distributed delivery

Ultimate business continuity. Operate from anywhere deliver everywhere, tap talent across the world.

Newsroom

Get the latest news and feature stories on our businesses, community initiatives, heritage, and people.

Tag: Data and Analytics

Product Engineering

Move to technology-driven smart policing

Post author By haripriya.r
Post date June 13, 2022

Leverage predictive analytics to reduce crimes and burglaries by 30%

Today, the crime rates in most parts of the world are high, despite taking necessary measures. Reports by FBI reveals, “3.9% increase in the estimated number of violent crimes and a 2.6% decrease in the estimated number of property crimes when compared to 2014.” Due to this, the police forces globally are under tremendous pressure to leverage technologies such as predictive analytics, to draw insights from the vast complex data for fighting the crimes. It not only helps in preventing robberies and burglaries but also aids in better utilization of the limited police resources.

Fig. Predicting crime by applying analytics on data feeds from various sources

As per studies conducted by the University of California, crime in any area follows the same pattern as the earthquake aftershocks. It is difficult to predict an earthquake, but once it happens, the following ones are quite easy to predict. The same is applicable when it comes to crimes in any geographical area. Combinational analysis of the past crime data and other influencing parameters help in predicting the location, time, and category of crime.

With the increasing crime rates, globally the police forces are under tremendous pressure to leverage technologies such as predictive analytics to draw insights from the vast complex data for fighting crimes.

Tags Data and Analytics

Cloud

Observability: Looking beyond traditional monitoring

Post author By gayathri.b
Post date April 26, 2021
No Comments on Observability: Looking beyond traditional monitoring

Gain critical insights into the performance of today’s complex cloud-native environments

As businesses transition towards multi-layered microservices architecture and cloud-native applications, they often struggle to gain granularity with the traditional monitoring tools. In the traditional method, teams use separate tools to monitor the logs, metrics, events, and performance, hindering unified analysis. Monitoring tools do not give the option to drill down and correlate issues between infrastructure, application performance, and user behavior. Teams often use logs for debugging and performance optimization, which becomes very time-consuming. Static dashboards with human-generated thresholds do not scale or self-adjust to the cloud environment. As thousands of cloud-native services are deployed on a single virtual machine at any given time, monitoring has become cumbersome. Further, conventional monitoring relies on alerting only known problem scenarios. There is no visibility into the unknown-unknowns – unique issues that have never occurred in the past and cannot be discovered via dashboards.

Businesses need to make their digital business observable such that it is easier to understand, control, and fix. Hence, they must look beyond traditional monitoring. With observability, businesses can gain critical insights into complex cloud-native environments. Observability enables proactive and faster discovery and fixing of problems, providing deeper visibility about issues and what may have caused them.

With observability, businesses can gain critical insights into complex cloud-native environments.

Tags Cloud Automation and Operations, Data and Analytics

Operational Excellence

Accelerate cash flows by faster order processing

Post author By gayathri.b
Post date May 4, 2020
No Comments on Accelerate cash flows by faster order processing

Managed Digital Transformation to reduce Order-to-Activate (O2A) cycle time and increase new business wins

The Order-to-Activate (O2A) process is at the heart of every business operation. Simply put, it refers to the end-to-end process of receiving, processing, and fulfilling a customer’s order. A smoother and more efficient order flow will allow the company to process more orders, thus allowing the business to grow more quickly.

The Order-to-Activate process cannot be conducted in isolation; it depends upon numerous roles, departments, and systems. For example, a typical digital service provider takes 15+ teams to traverse through 55+ systems to complete one order. These complexities and increasing inefficiencies in the O2A process leads to longer cycle time, delayed revenue realization, and higher cost.

The complexities and increasing inefficiencies in the Order-to-Activate process lead to longer cycle times, delayed revenue realization, and higher costs.

Businesses need to ensure that their business runs smoothly, and the orders are delivered efficiently and accurately, with minimal chances of error. Adopt the Managed Transformation Model to achieve long term sustainable business benefits like reduced cycle time, accelerated revenue, enhanced customer experience, and maximized cost savings. By doing this, a business can transform its operations holistically and address all the challenges in the O2A process.

Businesses can ensure a reliable and undisrupted high-speed broadband service by adopting the ‘Zero-touch service assurance’ framework. This framework enables continuous remote monitoring to detect connectivity issues proactively and provide automated resolutions.

The model encompasses transformation levers such as:

Agile Work Cell: Consolidates multiple functional roles into one hence, reducing the touchpoints in the O2A process. It ensures better control, promotes transparency and eliminates handoffs
Process Optimization & Automation: Analyzes the current performance and cycle time elongation factors to identify and implement improvement opportunities
Operational Accountability: Provides a Dashboard with end-to-end visibility into each order and the milestones. It also helps in governance, performance tracking and reporting

Tags Data and Analytics, Service Delivery Operations

IT Agility

Minimize the backup failures in data centers

Post author By gayathri.b
Post date October 19, 2017
No Comments on Minimize the backup failures in data centers

According to different analysts, “5% to 25% of the backup jobs are failing across various tiers of data centers”. This impacts data centers heavily in revenue loss and SLA-based penalties. Further loss of essential data deteriorates customer experience. Hence, data centers must identify the root cause and reduce backup failures. The top reasons behind backup failures in data centers are the lack of storage space, database permission issues, and linear processing of high-volume backup jobs. Data centers should leverage a unique solution strategy to eliminate these problems and create successful backups.

Fig: Proven approaches to minimize the backup failure rate

Around 5-25% of the backup jobs are failing across various tiers of data centers

Tags Data and Analytics

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