Big Data Consulting Services

Big data consulting services regards the issue of extracting meaning from enormous and complicated data sets for organizations. These services are about the particular data analysis and interpreting the large amounts of data they are receiving and then proposing the solutions and providing the recommendations that will help your company to make better decisions and improve business outcomes.

We are exactly the business class and for long time we have been the master minds of the operation. Our data scientists have years of experience in clustering data and finding pertinent data.

With the help of our clients from all around the world, we have effectively managed specialized enterprise requirements. We at Bigscal combine cutting-edge trends with comprehensive Big Data consulting services and analytics know-how. Your company can achieve its goals with the help of our solutions.

cmmi level 3


Global Presence


Global Customers


Completed Projects


Years of Experience

Adani renewables
Vital data technology
Universal weather & aviation, inc
Trackimo always there
Whirpool india
Big interview
Different dog
Open cosmos
Adani renewables
Vital data technology
Universal weather & aviation, inc
Trackimo always there
Whirpool india
Big interview
Different dog
Open cosmos

Bigscal’s Big Data Consulting Services

According to your needs and budget, we at Bigscal help you design a big data strategy and pick the right vendors and solutions.

Big Data Consulting

Our team supports the milestone mapping, calculates the necessary functionality, and develops high-level Big Data architecture, tech stack, and CI/CD pipeline.

  • Audit of the current data infrastructure
  • Evaluation of operational improvements
  • Evaluation of technical breakdowns and help

Batch Processing

With the aid of our big data batch processing service, a lot of data may be processed quickly for computing transactions.

  • Calculate very complex data
  • Higher latency
  • Keep system resources spare

Big Data Analytics & Reporting

Big data analytics are used in a variety of industries by our qualified staff. It expedites clinical research, guarantees financial institutions have access to their data when needed, and more.

  • Dashboards that are interactive for personalized reports
  • Facilitates quicker and better decision-making
  • Integration with several data sources is simplified

Big Data Management Services

We’ll hand-pick the most effective data governance method based on the characteristics of your enterprise infrastructure and regulatory compliance requirements.

  • Big Data management algorithms using AI
  • Governance of data mesh and data fabric
  • Storage techniques like data lakes and warehousing

Big Data Development

We can develop interfaces for external endpoints while also deploying well-targeted Big Data software, hardware, and business practices.

  • BI and data visualization services from other sources
  • ETL tools and cloud-based big data services
  • Applications for big data and customized APIs

IoT security checks

Our team of IoT security testers finds and fixes flaws in internet-connected devices.

  • Vulnerabilities analysis
  • Testing for penetration
  • Risk evaluation

Let’s Discuss Your Project

We help you by giving the best consulting services.

Bigscal’s Technological Stack

We help you to get the best technologies for your development.

Data Storage & Services

ETL & Data Processing

BI & Analytics

We Are The Leading Big Data Consulting Company

We combine analysis with big data using our big data solutions to uncover facts that would otherwise be hidden.

software engineering services

We provide our users with thorough instructions on data collecting, framework usage, and architectural statics used for managing and evaluating the data using the resources at hand.

Bigscal has the opinion that the success of Big Data projects resides not only in their execution but also in their analysis in order to create a system that fosters change in the organizational processes. We can assist you with all aspects of big data creation, including data intake, data processing, data storage/warehousing, BI, analytics, streaming analytics implementation, etc.

  • ISO 9001:2015 and ISO 27001:2013 certified
  • Huge technology stack
  • Flexible development
  • Experienced developers
  • Cost Effective
  • One-to-one communication
  • High-quality UI/UX
  • Regular updation

We Have Been Equipping Business With High-Quality Services

Our data scientists have years of experience in clustering data and finding pertinent data. With the help of our clients from all around the world, we have effectively managed specialized enterprise requirements.

  • 750+ Projects Successful
  • 97%+ Customer Satisfaction Rate
  • 500+ Global Clients
  • 25+ Countries
  • 175+ Full-Time Software Developers
Bigscal clients

Our Software Development Case Studies

Software development & outsourcing services have been our main focus since our inception. Being end-to-end software development partners to our patrons, we have engaged with them in their technology enhancement journey and helped them with best-in-class solutions. We have captured a few case studies to reveal how we became our clients’ favorite.

A Time-Tracking Desktop App

A time tracking tool that monitors staff computer usage and activity levels, including open programs and websites visited, it takes randomly chosen screenshots and more.

Core tech

ReactJs, nodeJs, MongoDB

A Gaming Application

In the Business Game, players roll two six-sided dice to move around the game board, buying and trading properties, and developing them into houses and hotels.

Core tech

Unity 3D, FireBase

A Finance Managemnt System

a system for managing finances that helps keep everyone informed about their financial situation and show them how to save money.

Core tech

ReactJs, nodeJs, MongoDB

An Architectural Business Management Software

Downright Tiles offers tile services for residential and commercial properties, including remodeling, renovation, repair, and installation.

Core tech

.NET, MVC5, Decoupled Architecture

User Guide

What is big data management?

Data was once produced manually by employees. However, as forums, blogs, and other social media platforms proliferated, we began to provide data on our own. We create new data every time we register and post something online, which can be useful to one firm. Users can produce data without assistance from the personnel of firms.

However, as a result of recent technological advancements, machines are now able to import fresh data from the real world into the virtual one with little to no human involvement.

Previously, we would bring data to processors, but now since there is so much data being produced, we bring many processors, such as big data platforms or data science platforms, to the data.

Big data is the term used to describe the enormous and complex volume of data that is unable to be gathered, handled, and analyzed by conventional data processing techniques. These large data sets can be analyzed quickly thanks to new technology. These massive data collections comprise semi-structured, unstructured, and structured data.

It requires specialized technologies and techniques to handle the volume, velocity, and variety of data. This can include distributed storage systems, such as Hadoop and NoSQL databases, as well as data processing frameworks like Apache Spark and Apache Storm. Beyond big data throughput, analysts have more tools at their disposal to then utilize that facility for the likes of machine learning and visualization for other decision makers to see.

What challenges you face when adopting big data?

The challenges of adopting big data are as follows:

Big data is not well understood or accepted.

There is a good risk that one firm will squander a lot of time and money on things they don't really understand how to use when there is a lack of understanding of what big data actually is, what values it can bring to the table, and what infrastructure is required.

Various big data technologies are mixed up.

Big data technologies are widely available on the market. Which one suits you the best? You should know your requirement first so that you can choose the best technologies for your big data management.

Spending a lot of money

Adopting big data necessitates significant costs, and human resources are not included. Although the necessary framework is open-source, there are still costs associated with new hardware, setup, development, maintenance, hiring, electricity, configuration, etc.

The difficulty of ensuring data quality

Due to the fact that the data that needs to be evaluated is sourced from numerous sources and is available in a variety of forms, sooner or later, any firm will run into all the issues that data integration may cause. Big data analysis and effort to maintain its dependability are crucial because it partially reflects a business' operating status.

Risky gaps in big data security

Businesses must deal with security concerns while using big data, as we shall describe in a subsequent post. However, there are possible issues such as unreliable mappers, problems with data provenance, a lack of security checks, etc.

The challenging task of turning large data into useful insights

Without the ability to accurately ascertain a person's interests, firms risk losing both current and potential clients to rivals. Data and observations can be important components of developing insight, but without critical thought, creativity, and perseverance, firms end up wasting their resources.

What are the opportunities that can be attained by adopting big data?

The opportunities with big data are as follows:

Improvements in information management

Businesses can benefit most from big data technology because it increases their capacity for new information discovery, gives them access to data sets across all departments, and enables them to identify all data sets that are underutilized.

Improved maintenance and operational efficiency

Businesses may increase efficiency, optimize services, and make better, more accurate decisions thanks to big data and big data analytics.

Increased sufficiency and openness of the supply chain

Real-time visibility and transparency of the supply chain can be enhanced through big data.

Increased receptivity

Companies continue to keep up with market developments and conditions as a result of gaining more data. As a result, responsiveness is improved.

An improved approach to products and markets

A company can use big data analytics to better understand its customers, boost customer segmentation, provide space for more scalability, and implement mass personalization.

Improved production planning and demand management

Big data technology offers more information for product release and launch planning.

Benefits of product design and innovation

Innovation and product design can be supported by a variety of data streams.

Favorable financial effects

Big data technology, if implemented properly, can lower long-term costs and increase the capacity for investment in the duties of other organizations.

More integration and cooperation

The supply chain business, in particular, benefits from the improved integration and cooperation capabilities of this new technology.

Better logistics

Product traceability made possible by big data allows for real-time scheduling changes, route planning, and other benefits like shorter lead times.

What tips are there by which you can get good big data service providers?

There are some important requirements you should make while choosing a Big Data Consulting & Management firm.

Prior to anything else, make sure the business specializes in big data analytics and has the necessary knowledge and experience. They must also comprehend the unique requirements of your company or project in order to give you guidance that is appropriate for your situation.

Then, read through the feedback left by previous clients to get a better idea of how this specific business handles real tasks. Additionally, make sure their engineers, in particular, are competent and have the necessary technical understanding to continuously produce high-quality products with novel ideas.

Because smaller firms sometimes have fewer resources, it is advantageous if the Big Data Consulting & Management Company offers specialized services that are affordable without compromising quality.

Additionally, make sure their infrastructure is strong enough to scale as your firm becomes more well-known over time. They should also have interactive dashboards for tracking KPIs in real-time, so you are always aware of the status of various departments.

Finally, choose a company that is dedicated to providing proactive assistance whenever required. This will ensure prompt resolution, preserve client happiness, and ensure smooth operations while preventing project delays brought on by technical problems, unanticipated circumstances, etc.

When choosing a Big Data Consulting & Management Company, keeping these considerations in mind will help you make an informed decision that will allow you to get the best outcomes possible within the time frames that you have set.

What factors to consider for hiring big data services?

Big Data is a broad word used to describe a lot of data. Big data is everything that makes an organization's financial foundation stronger. The use that businesses make of data, not the volume of data itself, is what matters. The analysis, manipulation, and application of this data can be used to develop more effective business plans and decisions.

While there are many significant elements to take into account when picking a Big Data Consulting & Management organization, some crucial ones are as follows:

Understanding of your business

It is crucial that the consultant becomes familiar with your business, its goods and services, target market, and rivals fast.

Technical proficiency

The consultant should be well-versed in the most recent technological developments and be able to make suggestions regarding the finest technology outsourcing firm to choose in order to achieve your business objectives.


Make important to find out from the consultant what projects they have worked on in the past and whether they have experience in your sector.

Talents in communication

The consultant has to be capable of effectively articulating their concepts and delivering advice in a manner that is simple enough for you to comprehend. Additionally, they ought to be receptive to your inquiries and willing to regularly update you on the status of the job.


Before making a choice, it is vital to examine the prices of various experts and obtain estimates from each one.

Got a Project in Mind? Tell Us More

Drop us a line and we’ll get back to you immediately to schedule a call and discuss your needs personally.

Our Latest Blogs

Bigscal creates articles that broaden your knowledge and provide you with in-depth details on the most recent developments in the IT business. Our specialists are always looking into new IT technologies and creating articles for our cherished clients.


Businesses can benefit from using Big Data Solutions by gaining a competitive advantage, identifying new revenue streams, improving customer satisfaction, and increasing efficiency and productivity.

Organizations can gain a strategic position in the marketplace by means of big data solutions, generating new income streams, improving client or consumer satisfaction, and cutting overheads or streamlining processes.

Companies can use Big Data Solutions in a manner suitable for their business by having a clear understanding about the particular business need and goals. They will then decide which of such technology and tools would be applicable to them, and formulate a plan for the collection, preservation, and analysis of their data. It’s not enough to have just the right solution, the management and the maintenance of the solution is also a critical part and it is extremely imperative to have a skilled team to take care of that.

Yes, Big Data might just have a hand in boosting productivity at the workplace. It is astonishing to note that the Big data is expert on the productivity tasks like evaluation of the performance of the employee and managing the works related with the task management. Another factor that contributes to the improvmentment of Big Data is that it can be used for work schedule and resource allocation optimization. It thus enables us to achieve improved productivity.

The length of time it takes to see a return on investment from implementing big data for a business can vary depending on the specific goals and objectives of the organization, as well as the size and complexity of the data being analyzed. It can take anywhere from several weeks to several months to see a return on investment.

A business can reduce the cost of implementing big data by using open-source tools and technologies, which are often free or low-cost. Businesses can take the help of cloud-based services, which can easily help in reducing the cost associated with hardware and maintenance.

The cost of maintaining big data can vary depending on the size of the data set, the complexity of the analysis required, and the tools and infrastructure used to store and process the data. Businesses may need to invest in ongoing maintenance and upgrades to keep their data storage and processing solutions up to date, which can add to the cost. Additionally, businesses may need to hire additional staff with specialized skills to perform ongoing maintenance and analysis, which can also add to the cost.

The cost of adopting big data for businesses can vary depending on the specific needs of the company. Factors that can affect the cost include the size of the data set, the complexity of the analysis required, and the tools and infrastructure needed to store and process the data. Businesses can expect to spend anywhere from a few thousand dollars to several hundred thousand dollars on big data.

The implementation time for big data can vary depending on the specific needs and current infrastructure of the business. Typically, it can take anywhere from several months to a year or more to fully integrate big data systems and processes.

The key steps involved in implementing big data into a business include: identifying business goals and objectives, selecting the appropriate big data technologies and platforms, designing and building the big data infrastructure, integrating the big data systems with existing systems, testing and deploying the big data solutions, and providing ongoing support and maintenance.

What Our Valuable Clients Say About Us

We are grateful for our clients’ trust in us, and we take great pride in delivering quality solutions that exceed their expectations. Here is what some of them have to say about us:

"BigScal’s dedicated and talented staff made the effort to understand my complex requirements and met these challenges with insightful.Their greatest strength is an ability to listen to what a client need."

Dr. Dosist

Owner, Brew-EZ

"Their communication was very impressive, especially since there’s a great distance between Colorado and India."

Ilona Maxwell

Owner, Brew-EZ

"They were an extension of our team that we trusted and relied upon."

Lindsay Fairman

Founder, B2C & B2B

"We are happy with their high-quality work."

Kirk Rogers

Managing Director, Priovanti

"Very good cooperation! The work was always professional and always on time. We will hire them definitely again."


Owner, Brew-EZ

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