data and analytics services company


We enable organizations to deliver value across the customers’ journey by extracting actionable insights from diverse data sets
Transform Your Data Into Actionable Insights

In today’s digital world, data and analytics play a key role in transforming native business operations, creating new business models, and optimizing business performance to commercialize data opportunities. Transforming your data into valuable information will accelerate business insights, ensure operational excellence and give you a competitive advantage.

Our Data And Analytics Services

Scalex’s data and analytics services are helping organizations analyze data to drive business processes and improve business outcomes with effective decision-making. Unlock business value from data and make effective strategic decisions now.

Data Engineering




Data Engineering

From creating data pipelines to processing data, our complete set of data engineering services enables you to transform organizational data into informed and timely business decisions.

Advanced Analytics




Advanced Analytics

We deliver cutting-edge advanced data analytics solutions to help organizations stay ahead of the competition, drive revenue growth, and remain at the forefront of innovation.

Data Analytics Across Industries

We’ve been helping clients across industries with high-quality data and analytics services that will help them to become more responsive to the changing market landscape.

Why Choose Scalex For Data And Analytics Services?

As one of the most experienced data and analytics services companies in the USA and India, we have delivered innovative data analytics solutions for a wide range of clients. We help you build solutions and unparalleled success for your business.


We use an agile development methodology that helps us to execute multi-platform applications with faster iterations, quick delivery, and higher quality.


We will listen to your queries and provide you with an appropriate solution to your problems for a seamless experience and satisfaction.


We have an in-house team of over 30 software engineers and data analysts who understand industry standards and best development practices to deliver solutions.


At Scalex, we streamline regular communication between you and our teams. That’s how we make sure you are updated about the project progress during the entire development cycle.

Our Data Analytics Case Studies

Here’s a rundown of some of the projects that we have undertaken. See how we take care of our clients and their requirements with our hard work and perseverance.

Data Centralization And Analytics Using AWS
Data Centralization And Analytics Using AWS
End-to-End Data Analytics Solution Using AWS
End-to-End Data Analytics Solution Using AWS
Frequently Asked Questions

Learn more about how we work and solve challenges to meet your data analytics requirements.

Data Analytics is all about understanding your data and using that knowledge to drive actions. It is a scientific way to convert raw data into information that helps guide difficult decisions. Businesses are using analytics to make more informed decisions to uncover visible opportunities only with an analytical lens. Analytics allows companies to interpret trends, patterns, and relationships within data to explain, predict and react to market opportunities. With analytics, businesses can improve their processes, increase profitability, reduce operating expenses, and sustain a competitive edge in the long run.

The time and resources required for an analytics project depend on several factors. The significant factors are the scope and scale of the project, readiness and availability of required data, understanding of the analysis tools, skills, and knowledge of the analytical team. The analytics team generally defines a project timeline based on the above factors.

Businesses should make sure that they capture their business and customer data in a structured manner. This will ensure that the company has all the relevant data in the most usable form and can help the project move along quickly. Delays in analytics projects generally occur when the data rendered to the analytical team is not functional in its current form. The data needs to be structured, cleaned, and mined to make it usable.

Collecting large amounts of data about multiple business functions from internal and external sources is simple and easy using today’s advanced technologies. The real challenge begins when companies struggle to infer valuable insights from this data to plan for the future. Building an analytics function requires long-term commitment and extensive resources. Get in touch with us for cost-effective data engineering and analytics services.

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