Business / Knowledge Process Outsourcing

Data analysis uses raw (qualitative and quantitative) data and processes it via logical and statistical processes, runs the processes data through various tests to get information which is used by organisations to make informed decisions that would aid the progress of the organization in a variety of ways.

Data can be both internal (cost centre data, production lines data, human resource data, financial data etc) and external (customer trends, supplier history, market trends, macro and micro economic data).

We have come across several examples where uninformed decisions have cost companies enormous amount of money and also lost opportunities.

To cut down on such costly mistakes, NS Infotech has customized Analytical solutions which would help an organization make informed and credible decisions involving new product launch, exploring new markets, product or production line rejigs, financial resources reallocation etc.

At NS Infotech, we serve our customers with top-notch outbound voice services and our proficiency has earned our global clientele.

We follow a proven result oriented process with guaranteed value for money. And it's not just about money – our outbound BPO services have functioned as extensions of our clients and produced remarkable results.

Outsourcing outbound voice based operations has helped our clients reallocate precious financial and human resources to other verticals where there is a pressing need for the same. The outbound team at NS Infotech works diligently round the clock, servicing clients from different geographies. The services offered are cost effective and provide value for money.

Cataloging the inventory for an organization that has a large number of SKUs can be a real hassle and might lead unorganised or scattered data about the inventory that belongs to different brands, sizes, volumes and many other parameters.

A cluttered catalog can sometimes result in a missed opportunity to close a deal or can cause unnecessary delays to the annoyance of the client/customer.

A robust Catalog Content Management (CCM) system will help in solving cataloging problems that merchandisers and store managers face on a routine basis in absence of CCM. CCM is considered to be a boon in the retail, pharmaceutical, logistical and warehousing sector to name a few.

CCM also helps in managing catalogs remotely from a central place and allows flexibility in terms of updating, deleting or appending content in the catalog resulting in engaging content throughout the customer's digital journey across all channels.

The right data for an organization is gold dust if the data collected is relevant and the collection happens in a logical method. Relevant data collection helps in analysing the data which can prove beneficial to the organization in more ways than one.

Data collection is the first step in Data Analysis and if the groundwork is not laid down properly, the chances of getting wrong or improper results zoom up in no time.

Data extraction is the phase where data is extracted from the data dump, filtered and refined for further processing. The majority of data extraction comes from unstructured data sources and different data formats. This unstructured data can be in any form, such as tables, indexes, and analytics.