We Produce 100+ Analytic Roadmaps Every Year Saving Costs for Our Clients with the Help of Our Expert Developers, Agile Methodology, and More. Our data analytics services help you optimize different tasks by leveraging existing data. We help you make data-driven decisions for your business. The services include user-friendly tools for employees, efficient data integration, and data augmentation.
At, Mindbowser, we provide analytical data service that aims to deliver value-added solutions. The insights provided through the services help business maximize their revenue and outperform competitors.
Mindbowser is a data analytics consulting company that specializes in helping customers identify and obtain meaningful insights from the data and turn them into a competitive advantage.
We provide consulting services for all stages of the analytics process, from data collection and preparation to modeling and visualization, as well as support for project management, training, and communication.
We provide a comprehensive range of services to help you make the most of your data, which helps you identify and obtain meaningful insights from the data and turn them into a competitive advantage.
Effective business strategies demand a deep understanding of customer needs and preferences. Armed with new insights based on advanced analytics practices, your business can discover hidden opportunities to drive revenue, maximize ROI, mitigate risk, and enhance customer experience.
Mindbowser’s data analytics consulting services transform your raw business data into actionable insight for strategic decision-making, anticipating risk, and meeting consumer demands.
As a data analytics consulting company, we provide information in a way that best suits decision-makers. Various tasks are optimized in such by leveraging collected data. This is done using different methodologies understanding the requirements thereafter. The analytics consulting services balance the business and analytics in such a way that delivers value-added solutions.
Sandeep is a certified, highly accurate, and experienced Data Scientist adept at collecting, analyzing, and interpreting large datasets, developing new forecasting models, and performing data management tasks. Sandeep possesses extensive analytical skills, strong attention to detail, and a significant ability to work in team environments. Sandeep has 12+ years of experience in building software products and juggling with data.
He has been known for translating complex datasets into meaningful insights, and his passion lies in interpreting the data and providing valuable predictions with a good eye for detail. He is highly optimistic and an avid reader.
This ebook will answer all your questions about data science and how to put it to use for your business.
With the support of advanced technologies, we help you get the most out of data.
Our data analytics consulting service expert put statistical and mathematical methods and tools to invent services that help organizations automate and optimize processes to extract valuable data insights for your business.
We work with all-size businesses— from startups to Fortune500— in industries from engineering and tech to pharmaceuticals, retail and energy.
Our data analytics consulting services bring Data Science, Data Engineering, and Business Analysis together. This combined approach helps to keep business goals at the center of each engagement and address reliable insights.
Ready models that result in time and cost-saving
We help you identify & validate viable use cases across your business, guide your model through to deploying your models into production
A strong team led by ph.D. holders in data science and AI
We cover the full spectrum of ML and AI that is required to get the right ROI for your business
Our solutions are independent of the framework. You can continue to explore proprietary tools as well as choose among open source options
Check out our blog on trending topics on data analytics consulting services
We can detect the duplicates based on case number, docket number, and link addresses.
The documents can be stored over your AWS s3 buckets.
The deliverables will be the output file & source code.
1) Share the website & the list of fields to be extracted.
2) Check the feasibility
3) Scope out the timelines.
4) After the agreement on scope, the development started.
5) Based on the deadline, the output & code will be shared.
Our developers use project management tools like JIRA, Trello, etc. If you want, we can use that to track the project. Or we can manage through an excel sheet as well.
Based on the scope of work, we divide them into tasks & every task has some deliverables that lead to milestones.
The fixed cost budget is calculated based on the scope of work. If the scope of work changes, the budget part also gets affected.
Once the deliverables are submitted, the customer team must verify them. To verify these things, we set some days. If you find anything wrong in the verification period, Mindbowser will be responsible for fixing the issue.
We have a pool of developers. If an emergency happens, there are other developers who will act as replacements & achieve the deadline.
We also follow some developing standards so anyone new can easily adapt them.
Exploratory data analytics is a statistical approach that is used to analyze and produce descriptive graphical summaries. The most significant advantage of using EDA instead of a statistical model is that, with EDA, analysts are able to foresee what the data can reveal beyond the formal modeling.
Tools are primarily decided as per requirement. Major tools that we use are
Yes, we do. Our developers, too, are covered under NDAs and confidentiality clauses.
We have SLAs defined for projects. This includes performance parameters for individuals as well as key goals for the overall project. We keep revisiting this SLA at regular intervals to ensure that we are in line with the plan. Any deviation is immediately fixed.
We provide you with a technical project manager based out of the US or India to work directly alongside you. During the initial plan, our CTO, VP of Engineering, and CEO are involved too. Once the project journey is planned, the project manager is your main point of contact with a well-established escalation procedure.
The project manager keeps you updated as per plan on all the development information and acts as your primary quality analyst.
In data science work, we usually used the following tools.
We deal with structural and unstructured data like SQL, NoSQL, CSV, JSON, Flat Files, Images, etc.
The data size depends on the case-to-case basis, but generally, we handle data records in thousands to millions. We have worked with data in 100s of GBs.
A data analyst is a person who can help organizations in decision-making. It can take weeks or even months for an organization to make decisions and it can become a problem, especially for large organizations. Data analysts streamline the decision-making process by not only analyzing the data but also using methods of collecting and gathering information from various sources and channels and presenting them in a well-defined and structured way which helps decision makers to make data-backed decisions.