Analytics and Data

Our data and analytics team work with our clients closely on their requirement of tracking and generating checkpoints for proper monitoring of the automated processes. The implementation of the goals and data endpoints ensure that an online system passes through all conversion points which are tracked thus providing opportunity to analyze and derive informed conclusions which helps in undertaking decisive actions within the organization.

While working with various industry leaders, PCS has found out the major drawback of most organizations are inability to quantify the data which is received from multiple data points. Deciphering the data pose a major challenge and become an operational nightmare for management.

PCS works closely with the data teams and create a data flow path in order to understand and implement checkpoints for tracking the voluminous data in order to create a simple and well laid out formatted results derived from them.

Industry Verticals we have served

We worked with major conglomerates in refining their data and track performance through analytics which helped them grow flawlessly.

Real Estate

Real estate industry is highly unorganized which has problems in managing their employees in outdoor duty and measure performances. We helped them not only track their employees and assets but also monitor their investments and material movements.

Retail

The real problem of the retail is to track the shipments and tracking the stock. The monitoring of movement of items and allocation of timely reorders is something that lacks most of the medium sized retails. We helped them sort out the problem of accountability of items.

Insurance

Insurance sector lacks tracking of their documents and policy data which in most cases is non digitized. The implementation of our analytic process flow and adding data points with consolidation programs helped them settle claims with most precision and records.

Education

Education sector lacks the tracking of records of students and their skill sets together with the performance trends. We helped them identify the drawbacks inspite of having enormous data digitization which developed in more capacity of student tracking performances

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