Valenta > Staff Augmentation > Data Analysts & Data Scientists

Data Analysts & Data Scientist Staff Augmentation

Data Analysis is a process of cleaning, transforming, and modelling data to discover useful information for business decision-making. The purpose of Data Analysis is to extract useful information from data and make smarter business decisions.

There are several types of Data Analysis techniques that are based on business and technologies and the most common Data Analysis methods are Text Analysis, Statistical Analysis, Diagnostic Analysis, Predictive and Prescriptive Analysis.

At Valenta, our Data Analysts can assist with the following

Data Gathering

Data Collection

Data Cleaning

Data Analysis

At Valenta, our Data Scientists can assist with the following:

Discovery
Data Preparation
Model Planning

Model Building
Operationalize
Communicate Results

The Valenta Advantage

Valenta leverages deep domain expertise to create significant value for its clients in RPA. Some of the key highlights include:

24/7/365 Operation

With Onshore, Nearshore and Offshore Centers to choose from, Valenta offers its clients a 24/7 Non-Stop operation.

Global Provider

Valenta is a Leading Data Analysis solutions provider with over 100+ Data Analysts supporting clients from over 20 Markets across various sectors.

ISO Certification

Valenta is ISO 27001 Certified in Information Security including GDPR compliance.

Domain Expertise

Our Data Analysts are supported by Domain Experts across Supply Chain Operations, Finance and Accounting, IT Operations, Human Resources, Contact Center, Sales and Marketing and more.

Identify and Eliminate Manual Processes

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How we add value?

Our Data Analysts deliver significant value to our clients by the reducing cost of operations, helping them attain world class cost structures, and implementing effective controls. We have standardized our process with a high degree of automation.

We have a comprehensive and integrated Data Analysis service capabiliies. We augment our capabilities by continuously investing in building Data Analysis expertise through: