Big data solutions company in India

Big data - Where insights meet innovation!

Empowering businesses with actionable insights from big data!

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Digital Transformation

Why Big Data Solutions is Required for Your Business?

Enhancing Decision-Making Processes

With access to vast amounts of data, businesses can move away from gut-feelings and intuition-based decisions. Instead, they can rely on hard data, which leads to more accurate and reliable outcomes. For instance, a retail business can analyze sales data to determine which products are most popular and adjust inventory accordingly.

big data solutions company
big data solutions company

Driving Innovation and Development

Market share analysis, customer surveys, and market intelligence can help a business to identify areas for improved market penetration. This might mean pursuing new opportunities for business growth and innovation in the form of new product or service offerings that respond to changes seen in consumers’ behaviors. For instance, this newly trending company in the technology industry may use data to detect the need to add the new feature to one of the software products it is selling, and promptly it is developed and brought into the market.

big data solutions company

Improving Customer Insights

Customer management: Big data also facilitates market segmentation depending on customer demographic characteristics or consumption habits, desires, etc. In passing, this segmentation is appropriate in preparing marketing strategies that are personalized depending on the group of consumers. For instance, segmentation for a clothing selling company might consider age and fashion trends for instance where a certain section of the population would be more interested in certain type of clothes.

big data solutions company

Why You Need RDS Digital for Big Data Solutions Services ?

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Range of Services Offered

RDS Digital, big data solutions company , provides nominal graphics and marketing services that align with the various needs of different businesses. Some of the applications of big data encompass data analytics, data integration, data warehousing, predictive analysis, among others. Our method guarantees a wide coverage of the management aspects of big data by addressing all decision-making stages.

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Specialized Knowledge and Skills

The people at RDS Digital, big data solutions company have designed their team to have prominent members with vast experience in big data. With professionalism, we are assuring our clients that they will get the best solutions as per their needs.

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Customized Solutions

Another challenging aspect of the company is that it offers specific’ solutions, which are one of the features of RDS Digital, big data solutions company. They surely know that no two businesses are the same and therefore, each requires its own kind of strategy that will effectively tackle all that it faces. RDS Digital, big data solutions company  has enough capacity and knowledge to bring solutions for any company, no matter its size.

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Case Studies

For example, when providing a comprehensive data analytics solution to a retail company, RDS Digital, big data solutions company  identified the issue of supply chain inefficiency and offered to address this problem and the company cut their operational costs by 20%. Another real-world application is described by Bhatia wherein a healthcare provider was able to enhance patients’ outcomes by means of predictive analytics. 

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Case Studies

We have had the privilege of working with a diverse range of clients and delivering exceptional digital products that drive success.

Services

We have had the privilege of working with a diverse range of clients and delivering exceptional digital products that drive success.

big data solutions company

Problem Analysis and Definition

RDS Digital, big data solutions company provides big data consulting. BDCS aims at assisting organisations to put in place the right frameworks for capturing, processing and exploiting large data sets. Consultants evaluate state of today data prepares today’s, and promote possible enhancements, and also introduce corresponding technologies and methodologies. They also help design and strategy and execute big data solutions and tools so that organizations are capable of gaining improved insight from their data and gain a competitive edge.

Big Data Development Services

BDDS are more focused on development of Big Data solutions that are requirement specific. This is in admission to developing, coding and implementing big data applications that will be able to process huge data in large volumes. Based on the requirements of organizations, these services provide the necessary architecture and performance to support the optimum speed of data processing and analysis for preventing fraud.

Big Data Analytics Services

RDS Digital , big data solutions company focuses on big data analytics services. Big Data Analytics Services pertain to the use of techniques which are aimed at identifying patterns within large data sets. This includes being able to use more sophisticated means for analysis such as variances, averages, and other tools for assessing the data set characteristics. Companies employ these insights to make value-oriented and resource-saving decisions and, therefore, enhance their positions in their markets.

Big Data Processing

RDS Digital, big data solutions company, has expertise in big data processing services. While Big Data Processing services, deals with the act of acquiring, storing and transforming huge volumes of data. This include the procedures that leverage on the technologies like Hadoop, Spark or any of the cloud platforms to perform the data processing in a batch mode or in a real-time mode. Data preparation facilitates the surety that the data received is clean data that is readily analyzable, thus saving the business time.

Big Data Solution Reliability Engineering

RDS Digital, big data solutions company providers of big data solution reliability engineering. Big data solution reliability engineering is based on striving to make big data systems as reliable, robust and as high-performing as possible. This contains preventive measures and procedures in choosing a system architecture, overseeing administration, as well as ensuring protection from either inability to operate through system crashes and data loss. Reliability engineers therefore ensure they maintain the system performance, implement strategies that ensure the data solutions are scalable and conform to service levels and compliance.

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For Mid-Sized Businesses

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For E-Commerce/Enterprises

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Frequently Asked Questions

Still you have any questions? Contact our Team via hello@rdsdigital.com

What is big data?

Big data is a concept where large amount of structured and unstructured information is churning at high rates from different sources, which cannot be dealt by the current generation data processing tool. These technologies include big data that allows the processing, storage, and use of such data for purposes of decision-making and drawing of conclusions.

Why is big data important for businesses?

Big data opens great opportunities for business organizations in the way of receiving valuable information that could help organizations to make good decisions and save money and time, increase speed and find ways of creating new products and services. The aggregate big data is used to examine market dynamics, customer and operational performance to provide companies with real-time avenues for gaining a competitive edge.

What industries benefit from big data solutions?

Today, big data can be used across many areas such as finance, healthcare, commerce, production, telecommunication, and transport industries. Big data proves to be beneficial in each industry wherein industry can improve their processes as well as the overall customer experience while also coming up with new opportunities for business.

What technologies are commonly used in big data solutions?

Popular Big Data technologies are Hadoop, Apache Spark, NoSQL databases such as MongoDB, Cassandra, data-warehousing platforms such as Amazon Redshift and Google BigQuery and data integration tools are Apache Nifi and Talend. Deep learning tools like TensorFlow and PyTorch are also utilized often for data organization and data forecasting analysis.

How do I get started with implementing a big data solution?

According to RDS Digital, big data solutions company ,  you should start with defining your business goals and the challenges that you will tackle. First, you must gather an inventory of the data that is available to know what data you have and their quality. Depending on what you need, implement a specific technology stack and, subsequently, create a proof of concept, known as a PoC. Finally, scale the solution in a proportionate manner and it is also important here that monitoring and optimization should continue here as well.

How long does it typically take to implement a big data solution?

It is also essential to understand that the timing of implementing a big data solution depends upon the project’s goals, scale, and the organizational environment in which it occurs. An initial experiment would perhaps last for two to twelve months, while a complete project might extend into twelve months to two years or more.

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