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tag:We turn your raw data into actionable insights that empower smarter decisions. From data engineering to statistical modeling, our data science services help uncover patterns, forecast trends, and optimize operations with scientific precision.
Absolutely love what Bizbrolly do. Love the way they handle...View more
Our data scientists go beyond modeling—they understand business logic. We build solutions that process structured and unstructured data to answer key questions, predict outcomes, and fuel strategic decisions. From anomaly detection to churn prediction and customer segmentation, we deliver production-ready data science models aligned to your KPIs
Python
Pandas
NumPy
R
Jupyter
Dask
Data Warehousing
ETL Pipelines
Statistical Modeling
Customer Segmentation
Forecasting Engines
Anomaly Detection
We use statistical computing libraries, data pipelines, and visualization tools to convert data into intelligence.
Have doubts about what will suit your software the most? We'll gladly answer all your questions!
Learn What's Best For Your IdeaUnderstand how your models are performing over time—beyond just accuracy. Monitor drift, update frequencies, and business outcome alignment through real-time dashboards and performance reports.
We’ve worked with companies, start-ups and scale ups, to bring their business concepts to the world with cross-functional impact. Not just pretty tech but also intelligently designed solutions
We’ve worked with companies, start-ups and scale ups, to bring their business concepts to the world with cross-functional impact. Not just pretty Apps but also intelligently designed solutions
Helping clients to earn money while telling their story by following trends and integrating with sophisticated third-party platforms
There are times when we do not tell you what you want to hear, but we are the first ones to design what you need to grow because, At BizBrolly, we Get IT right.
(Founder – Moresi.Com SA)
Well done. Very professional, fantastic communications, high quality work and innovative help
(Founder - runwaybuy.com)
Very happy. Clear communication and has excellent development skills. We are looking forward to working with team in the future.
“I highly recommend BizBrolly team! So far work provided looks great and communication is frequent. I plan to continue to develop projects with them. Don't hesitate !”
(Growth Hacker)“Worked with this company to build an IoT based cross platform Mobile App for my company's consumer electronics products. They are really professional, flexible with demands / timelines & quick with deliverables. Definitely recommended.”
(Product Owner – Havells India)“Team has shown tremendous dedication, integrity, and development skills that have helped us to deliver several very challenging projects under strict time constraints on time and under budget. I would highly recommend this team to anyone looking for a dedicated offshore development team that can deliver quality applications while maintaining a positive attitude throughout the execution.”
(CEO/Founder - Related Noise Inc)Years Of Trust
Engineers Working From Office (No Extended WFH)
Delivered Projects
We follow the Lean Agile principles which simply means that the project team would have to deliver the modules according to the milestone plans. The Lean product development method is all about elimination of everything which does not bring any value to the end-users.
"BizBrolly is my 'go-to' firm for creating Apps and web platforms. Their openness have surprised me every time."
Robert DilioData science improves decision-making by providing real-time insights, identifying inefficiencies, and predicting future trends. Businesses can:
- Reduce costs through optimized resource allocation
- Improve customer experience by personalizing products and services
- Detect fraud and security threats before they cause damage
- Automate repetitive tasks, freeing up employees for strategic work
The cost varies based on project complexity, data size, and required technologies. Typically, a data science project ranges from $10,000 to $200,000, depending on scope and scale.
At BizBrolly, every data science project follows a structured process to ensure effectiveness and alignment with business goals. We begin by understanding the client’s objectives and analyzing their data sources. Our team then cleans and processes the data to ensure accuracy before developing predictive models using machine learning and AI. Once the models are validated, we integrate them into the client’s existing systems and continuously monitor their performance. By following this systematic approach, we deliver scalable, high-impact data science solutions that drive tangible business outcomes.
Data science plays a crucial role in automating business processes by enabling intelligent decision-making without human intervention. Automated fraud detection, personalized customer recommendations, and predictive maintenance are examples of how data science-driven automation enhances efficiency. By integrating machine learning models into business workflows, companies can reduce manual effort, minimize errors, and improve overall productivity.
Cloud computing provides the necessary computational power and storage capacity required for handling large-scale data science projects. By leveraging cloud platforms, businesses can store, process, and analyze vast amounts of data without investing in expensive on-premise infrastructure. Cloud-based data science solutions also enable remote collaboration, real-time data access, and cost-effective scalability.
Data science helps businesses understand customer preferences and behaviors, allowing them to offer personalized recommendations, targeted promotions, and improved support services. By analyzing customer feedback, purchase history, and online interactions, businesses can enhance user engagement, increase retention rates, and provide seamless customer experiences.
Supply chain optimization through data science involves demand forecasting, inventory management, and logistics planning. By analyzing historical trends and real-time data, businesses can reduce costs, minimize delays, and improve overall supply chain efficiency.
The cost of implementing a data science solution varies depending on the complexity of the project, data volume, and required technologies. A basic analytics solution may cost around $10,000, while advanced AI-driven implementations can range up to $200,000. At BizBrolly, we offer customized solutions tailored to meet business needs while ensuring cost-effectiveness.
Common challenges include data quality issues, integration complexities, and high computational costs. However, BizBrolly addresses these challenges with robust data management strategies, scalable cloud solutions, and AI-driven automation, ensuring smooth project execution.
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