Elevate Your Business with our Cutting-Edge Solutions
Data is the backbone of every organization, and how businesses interpret it is critical. The capacity to correctly interpret, process, extract, value, and visualize data would be the secret to a successful firm.
As a Big Data Consulting Company, Ksolves India Limited recognize that simply gathering data is not enough. You must use data to uncover significant insights about your procedures and put them into action. Our technical experts provide organizations with dependable Big Data analytics consultation and brief implementation services.

Why do Modern Enterprises Need Big Data Services?
About 60 to 70% of collected data is unstructured & unused in an organization. To increase the overall revenue of the business, Big Data Analytics & Consulting services are the ideal solutions. Save your business by saving your data with us!
Talk to our ExpertsImproves Business Productivity
Improves Business Productivity resolution rate
Increase in the return on equity
Analytics Upscale
Businesses
As innovation continues to influence all industries, the combination of near-real-time & historical data provides organizations with a competitive advantage. Businesses have a significant chance to improve decision-making accuracy by using Big Data Analytics. Therefore, Big Data Analytics plays a vital role in upscale businesses.
Bring Business
Opportunities
Insights from Big Data Analytics Consulting Services assist marketing departments in discovering how to best engage with their clients across multi-channel communications and transaction funnels. Analytics users may dive into historical data to understand what previous initiatives were effective. Big Data helps industries stay ahead in a competitive world by predicting successful opportunities based on previous data.
Analytics Reduces
Expenses
Data insights gained at the corporation level can be used to discover cost-cutting possibilities and cases of excessive spending. Big Data Analytics pays more than the amount spent by boosting sales, lowering expenses, or both. For example, insurance firms scan enormous amounts of claim data that may indicate suspected fraud and warrant further investigation by investigators.
During this stage, our team understands the business area, which includes the reason and goals for doing the analysis. The problem is recognized at this step, and assumptions are made about how much profit a firm will make after conducting the analysis.
This step includes essential actions such as defining the business challenges as analytics challenges that may be handled in multiple steps. It assists decision-makers in understanding the business resources that must be employed, consequently estimating the underlying budget necessary to complete the project.


After identifying the business case, it is time to select the relevant datasets to work with. At this step, research is conducted to determine what other firms have done in a comparable situation.
The sources of datasets might be external or internal to the enterprise, depending on the business case and the extent of analysis of the project at hand.
To fully use the potential of big data analytics services, it is necessary to find additional data sources that may be leveraged to collect structured and unstructured data. Our big data team will then prioritize and assess them throughout this step.
Once the data source has been determined, it is time to collect the data from that source. The majority of this material is unstructured. The data is then filtered, such as by removing corrupt or irrelevant data that is unrelated to the analytical purpose. Corrupt data is defined as data with missing records or mismatched data types.


Depending on the nature of the large data challenge, analysis is performed. This type of study gives conclusive answers to particular queries and validates whether or not an assumption was correct. The data is studied in an exploratory study to learn why a phenomenon occurred. This style of investigation explains 'why' a thing occurred. This study does not yield final answers; instead, it identifies trends.
Using the information from the datasets, we have the solution to several queries in this step. However, these responses are still in a format that cannot be delivered to business users. To get value or a conclusion from the study, some form of representation is necessary. As a result, numerous technologies are employed to show the data in graphic form, which business users may readily comprehend.
The evaluation of big data analytics results is thought to be influenced by visualization. Furthermore, it enables users to discover solutions to unformulated inquiries.


The analysis is complete, the results have been displayed, and it is now up to the business users to decide how to apply the information. The outcomes can be utilized to optimize and enhance the business process. It may also be used as input to improve system performance.
Big Data in your business.
Result-Oriented
We are committed to achieving great results and take pride in everything we do.
Improved Innovations
We use challenging and innovative ideas to provide the highest quality Big Data Development Services.
Industry-Expertise
Our valuable combination of analytics, technologies, and industry expertise strengthens the company and drives success.
On-Time Support
Our customers choose us because we provide unmatchable results in less than no time.
Skilled Professionals
Our highly-qualified professionals have years of expertise in developing problem-solving strategies for your business.
Proven Client Success Stories
Our agile methodology helps in the efficient and successful operation of businesses and allows them to remain competitive.
high-end technologies that are tailored to the needs of particular businesses.
Apache NiFi
Apache NiFi is a tool for automating the data flow from one system to another. Moving large amounts of data from one platform to another is a difficult process. Apache NiFi makes that simple and convenient with its vast range of capabilities and benefits. At Ksolves, our technical experts will allow you to reap all of the benefits without interruption.
Explore MoreApache Cassandra
The most difficult aspect of big data architecture is storing and retrieving data as needed. Apache Cassandra is intended to solve this problem and give customers a reliable database, regardless of data size. Ksolves vast expertise will assist you in extracting every element of the tool.
Explore MoreApache Spark
Apache Spark Big Data allows lightning-fast computing to boost your company's productivity. The tool will save you time and reduce mistakes while providing the highest level of security. Ksolves will assist you in personalizing the experience of processing massive data while maintaining security features.
Explore MoreApache Hadoop
Hadoop is a set of software tools that allow you to simultaneously store and process data. To achieve the goal and reflect error-free and speedy solutions, the tool employs a cluster of systems. Ksolves is one of the top Big Data Development companies because of our skill in integrating Apache Hadoop and regular follow-ups.
Explore MoreApache Kafka
Apache Kafka provides a library that allows users to create apps and websites that stream data. Big data processing becomes simple with real-time analytics. However, because the program is written in Java and Scala, you will need the assistance of an expert to eliminate errors. Ksolves, with its pool of highly competent developers, raises its hand to ensure the highest level of quality.
Explore MoreCase Studies
Telecom Data Flow Revolution: Empowering Connectivity
Revolutionize your remote device data management with our scalable NiFi solution, enabling flexible scalability and streamlined monitoring for telecom clients.
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Microservice-Based Java Spring Boot Application
Explore how a financial industry leader transformed transaction processing with Java Spring Boot microservices and Apache Kafka integration. Uncover the secrets behind seamless communication and maximum efficiency.
Read More
Disaster Recovery Cluster Setup
Explore how a prominent Indian software development company successfully implemented a Cassandra cluster-based disaster recovery solution for government projects, ensuring data resilience and optimizing their multi-data center infrastructure.
Read MoreOur Trending Blogs
Find Your Query Here!
What are Big Data Services?
What are the 5 Vs of Big Data Technology?
- Volume: The term 'Big Data' refers to a massive amount of information.
- Variety: It refers to the type of data—organized, semi-structured, or unstructured.
- Velocity: The term velocity refers to the rapid collection of data.
- Veracity: It refers to irregularities and uncertainty in data.
- Value: The 5th V is simply yet importantly the Value of data.
What are Big Data technologies?
Apache Cassandra, Apache Spark, Apache Hadoop, Apache Kafka, & Apache NiFi.
If you need Big Data consulting services, consult with Ksolves today!
What are the components of Big Data?
- Ingestion
- Transformation
- Analysis
- Load
- Consumption
What is a Big Data Consultant?
A Big Data Consultant is in charge of identifying the company's flaws and developing effective solutions to satisfy the organization's goals. Ksolves India Limited is one of the top Big Data Development Companies helping companies to save, secure, and implement their data. Consult with us to know more!