Cloud analytics in India has moved past the early “let’s migrate everything” phase. Most companies listed here are no longer just helping businesses shift data to the cloud - they’re working deeper, shaping how teams actually use that data day to day.

What stands out is how practical the focus has become. It’s less about dashboards for the sake of dashboards, and more about building systems that can handle messy, growing data without breaking every few months. Some teams lean into real-time pipelines, others into structured reporting or AI-driven insights, but the common thread is fairly simple: make data usable, not just available.

India has a wide mix in this space. You’ll find established engineering firms with strong delivery processes sitting alongside smaller, more specialized teams that focus on specific industries or use cases. That variety is part of the reason companies look here in the first place - not just for scale, but for different ways of approaching the same problem.

1. Oski Solutions

At Oski Solutions, we approach cloud-based analytics as part of a broader system. In many cases, we start with what already exists - legacy tools, disconnected databases, or reporting that does not line up between teams. From there, we rebuild the flow of data step by step, using cloud infrastructure to make it more stable and easier to work with over time. In India, we provide these services to companies that are scaling and need their analytics to reflect what is actually happening across systems, not just what one dashboard shows.

At the same time, analytics is rarely a standalone task in our work. It usually sits alongside custom software development, integrations, or ongoing system improvements. We work with companies across North America and Europe, but also support teams in India that are modernizing internal platforms or building new ones from scratch. Most of the teams we collaborate with are mid-sized or growing businesses - often in sectors like e-commerce, logistics, or fintech - where data starts to become harder to manage as operations expand. Our role is to bring structure into that, without overcomplicating the setup.

Key Highlights:

• Provide cloud-based analytics and development services in India

• Work with companies across North America, Europe, and Israel

• Focus on mid-size businesses and growing teams with evolving data needs

• Combine analytics with full-cycle software development and system modernization

• Experience working with B2B product and service companies

• Support long-term collaboration, including team augmentation and outsourcing

Services:

• Cloud-based analytics

• Data pipeline design and system integration

• Data integration across CRM, ERP, and third-party systems

• Data warehousing using SQL Server, PostgreSQL, and cloud-native databases

• Real-time and batch data processing setups

• Analytics-ready backend development for reporting systems

• Custom software development with focus on cloud data solutions

Contact Information:

• Website: oski.site

• E-mail: contact@oski.site

• LinkedIn: www.linkedin.com/company/oski-solutions

• Address: Kaupmehe tn 7, 10114 Tallinn, Estonia

• Phone: +48571282759

2. Fractal Analytics

Fractal Analytics works with large organizations that are already sitting on a lot of data but struggle to turn it into something consistent. Their approach usually brings together AI, engineering, and design in one flow, rather than treating analytics as a separate reporting layer. In practice, this often shows up in projects where dashboards alone were not enough, and the focus shifts toward building systems that support decision-making directly.

They operate globally, but also provide cloud-based analytics services, especially for enterprises dealing with supply chains, customer data, or operational complexity. Fractal Analytics tends to focus on making AI usable at scale, not just running pilots.

Key Highlights:

• Work across industries such as retail, healthcare, financial services, and manufacturing

• Combine AI, engineering, and design in analytics projects

• Focus on scaling analytics beyond early-stage experiments

• Experience working with enterprise-level data environments

Services:

• Cloud-based data analytics and decision support systems

• AI-driven analytics and automation

• Data engineering and system integration

• Customer analytics and behavioral insights

Contact Information:

• Website: fractal.ai

• E-mail: investorrelations@fractal.ai

• Twitter: x.com/fractalai

• LinkedIn: www.linkedin.com/company/fractal-analytics

• Address: Level 7, Commerz II, International Business Park, Oberoi Garden City, Off W. E. Highway Goregaon (E), Mumbai - 400063, Maharashtra, India

• Phone: +91 22 6850 5800

3. Tiger Analytics

Tiger Analytics approaches cloud-based analytics from a slightly different angle. They spend a lot of time on building the underlying data foundation before moving into AI or reporting. In some cases, this means reworking how data is stored and accessed across cloud platforms, especially when companies are dealing with fragmented systems.

They provide these services as part of their broader work with enterprises in industries like retail, banking, and manufacturing. One detail that stands out is their use of modular solutions - they often build reusable components that can be adjusted as the data strategy evolves.

Key Highlights:

• Work closely with cloud platforms such as AWS, Google Cloud, and Databricks

• Experience in industries like CPG, retail, banking, and manufacturing

• Use modular and reusable analytics components

• Combine strategy, engineering, and analytics in projects

Services:

• Data strategy and analytics roadmap development

• Cloud data platform setup and modernization

• Data engineering and pipeline development

• AI and machine learning model development

• Business intelligence and reporting systems

• MLOps and analytics operations

Contact Information:

• Website: www.tigeranalytics.com

• Facebook: www.facebook.com/tigeranalytics

• Twitter: x.com/tigeranalytics

• LinkedIn: www.linkedin.com/company/tiger-analytics

• Instagram: www.instagram.com/tigeranalytics

• Address: Prestige Tech Park, 1st floor Mercury Block, Kadubeesanahalli, Bengaluru, Karnataka, 560103

4. LatentView Analytics

LatentView Analytics focuses more on helping companies move away from older, on-premise setups toward cloud-based data environments. A lot of their work sits in that transition phase, where systems are still partly legacy and partly cloud. It is not always a clean migration, and their role often involves making sure the two can still work together while things shift gradually.

They provide cloud-based analytics services in India for companies that want to make better use of data in day-to-day operations, not just in reporting cycles. LatentView Analytics also leans into AI-driven analysis, but usually ties it back to practical use cases like demand forecasting or process improvements.

Key Highlights:

• Provide cloud-based analytics services in India with a focus on data transition

• Help organizations move from on-premise systems to cloud environments

• Work across industries such as retail, financial services, and technology

Services:

• Cloud data migration and transformation

• Data analytics and reporting systems

• AI-driven data analysis and forecasting

• Data engineering and integration

• Business intelligence and dashboard development

Contact Information:

• Website: www.latentview.com

• E-mail: investorcare@latentview.com

• Facebook: www.facebook.com/LatentView

• Twitter: x.com/latentview

• LinkedIn: www.linkedin.com/company/latentview-analytics

• Instagram: www.instagram.com/lifeatlatentview

• Address: 5th Floor, Neville Tower, Unit 6, 7 and 8, Ramanujan IT City, Rajiv Gandhi Salai, Taramani, Chennai – 600113, Tamil Nadu, India

• Phone: +91 044 4344 1700

5. DataToBiz

DataToBiz usually starts from a simple question - is the data even ready to be used properly. A lot of their work reflects that starting point. Instead of jumping straight into dashboards or models, they spend time checking data maturity, cleaning up pipelines, and figuring out what is missing. In some projects, that means building the entire data layer from scratch, especially for teams that have grown quickly but never really organized their data systems.

They provide cloud-based analytics services across different industries, including manufacturing and IT. DataToBiz also seems to stay close to the operational side of analytics. For example, in one case they worked on HR analytics to improve workforce planning, which is not the usual flashy use case but often where companies actually need help. Their work tends to sit somewhere between data engineering, business intelligence, and ongoing analytics support rather than one-off implementations.

Key Highlights:

• Focus on data readiness and building strong data foundations

• Work with companies at different stages of data maturity

• Combine data engineering, AI, and business intelligence in projects

• Experience with practical use cases like workforce analytics and sales analysis

Services:

• Cloud data engineering and pipeline development

• Data warehousing and big data architecture

• Managed data analytics and reporting

• Business intelligence with tools like Power BI and Tableau

Contact Information:

• Website: www.datatobiz.com

• Facebook: www.facebook.com/datatobiz

• Twitter: x.com/DataToBiz

• LinkedIn: www.linkedin.com/company/datatobiz

• Instagram: www.instagram.com/datatobiz

• Address: F-429, Industrial Area, Phase 8B, Mohali, PB 160059 Punjab, India

• Phone: +91 70099 35623

6. Algoscale

Algoscale takes a more structured approach to cloud-based analytics, with a clear focus on how data flows across systems. A lot of their work revolves around fixing common issues like data silos or inconsistent reporting. In practice, this often means setting up ETL pipelines, connecting different tools, and making sure the data is actually usable before any analysis happens.

They provide cloud-based analytics services in India for companies that are either building analytics capabilities from scratch or trying to improve what they already have. One thing that stands out is how much attention they give to ongoing maintenance. They stay involved in monitoring and improving it as data grows or changes, which is where many setups tend to fail.

Key Highlights:

• Work with cloud platforms like AWS, Azure, Google Cloud, Databricks, and Snowflake

• Address common data challenges such as silos and inconsistent reporting

• Combine data engineering, analytics, and AI in projects

Services:

• Data integration and ETL pipeline development

• Cloud data migration and modernization

• Data platform design and development

• AI-driven analytics and predictive modeling

• Data governance and architecture planning

Contact Information:

• Website: www.algoscale.com

• E-mail: askus@algoscale.com

• Facebook: www.facebook.com/algoscale

• Twitter: x.com/algoscale

• LinkedIn: www.linkedin.com/company/algoscale

• Instagram: www.instagram.com/algoscale

• Address: Algoscale Technologies Private Limited D-76, Sector 63 Noida, UP 201301

• Phone: +91-120-416-5801

7. BuzzyBrains

BuzzyBrains focuses more on the full cycle of data analytics, from preparing raw data to presenting it in a way that teams can actually use. Their process is quite structured - starting with understanding the problem, then moving through data preparation, analysis, and visualization. It sounds straightforward, but in practice, this kind of step-by-step approach helps avoid a lot of confusion later on.

They provide cloud-based analytics services across industries like healthcare, fintech, and e-commerce. BuzzyBrains also puts some emphasis on knowledge transfer, which is not always highlighted by similar companies.

Key Highlights:

• Follow a structured, step-by-step analytics process

• Work with technologies across cloud, AI, and data engineering

• Include knowledge transfer and team collaboration in projects

• Experience supporting global clients with data analytics needs

Services:

• Big data analytics and data processing

• Data warehousing and cloud storage solutions

• Predictive analytics and statistical modeling

• Business intelligence and KPI tracking

• Data migration and system integration

Contact Information:

• Website: www.buzzybrains.com

• E-mail: contact@buzzybrains.com

• Facebook: www.facebook.com/contactbuzzybrains

• Twitter: x.com/BuzzyBrain_Soft

• LinkedIn: www.linkedin.com/company/buzzybrains-software

• Instagram: www.instagram.com/buzzybrains

• Address: 4th Floor, AWFIS, G.K.Mall, above Pantaloons, near Kokane Chowk, Pimple Saudagar, Pune, Maharashtra 411027

• Phone: +91 9699491689

8. Wipro

Wipro approaches cloud-based analytics at a much broader scale compared to most companies in this space. Their work usually sits inside larger transformation projects, where analytics is one part of a wider system that includes cloud migration, data engineering, and process changes.

Wipro also puts noticeable emphasis on combining analytics with business context - not just generating insights, but reshaping how decisions are made. In some cases, that involves modernizing existing BI systems or introducing new data platforms that can handle real-time data flows, especially for organizations that have outgrown older setups.

Key Highlights:

• Work across large enterprise environments and complex data ecosystems

• Combine data engineering, analytics, and business transformation

• Experience with real-time analytics and unified data platforms

• Offer managed analytics services alongside implementation

Services:

• Cloud data migration and analytics modernization

• Data engineering and data platform development

• Business analytics and reporting systems

• AI-driven insights and decision support

Contact Information:

• Website: www.wipro.com

• E-mail: info@wipro.com

• Facebook: www.facebook.com/WiproLimited

• LinkedIn: www.linkedin.com/company/wipro

• Instagram: www.instagram.com/wiprolimited

• Address: Doddakannelli, Sarjapur Road, Bengaluru - 560035

• Phone: +91 (80) 61427999

9. Oracle

Oracle’s role in cloud-based analytics is more product-driven than service-led. They provide platforms that companies use to build and manage their own analytics environments, rather than handling everything as a consulting project. Their analytics tools are designed to work across cloud, on-premise, and hybrid setups, which is often useful for organizations that cannot fully move to the cloud at once.

They provide cloud-based analytics capabilities in India through products like Oracle Analytics Cloud. One thing that stands out is how much of the process is built into the platform itself - data preparation, modeling, visualization, and even machine learning are all part of the same environment. This tends to reduce the need for multiple separate tools, although it also means companies need to adapt to how the platform works.

Key Highlights:

• Support cloud, on-premise, and hybrid analytics environments

• Include built-in data preparation, modeling, and visualization tools

• Integrate machine learning directly into analytics workflows

Services:

• Cloud analytics platform (Oracle Analytics Cloud)

• Data integration and multi-source connectivity

• Data modeling and semantic layer setup

• Embedded machine learning in analytics workflows

Contact Information:

• Website: www.oracle.com

• E-mail: salesinquiry_in@oracle.com

• Facebook: www.facebook.com/Oracle

• Twitter: x.com/oracle

• LinkedIn: www.linkedin.com/company/oracle

• Address: F-01/02, First Floor Salcon Rasvillas D-1, District Centre, Saket, New Delhi - 110017

• Phone: +91 80-37132100

10. ValueCoders

ValueCoders works with companies that need to organize and scale their analytics without building everything in-house. Their approach is fairly structured, starting with data strategy and moving into implementation and ongoing support. They step in to manage analytics operations entirely, especially when internal teams are focused on other priorities.

A common situation they deal with is fragmented data spread across multiple systems - something that shows up in industries like logistics or finance. ValueCoders typically addresses this by building centralized data environments and connecting them with reporting tools that can be used across teams, rather than keeping analytics isolated.

Key Highlights:

• Work with companies dealing with fragmented or distributed data systems

• Offer end-to-end analytics support from strategy to maintenance

• Combine data engineering, BI, and predictive analytics

• Support multiple engagement models including dedicated teams

Services:

• Data analytics consulting and roadmap development

• Cloud data migration and analytics modernization

• Data integration and warehouse development

• Analytics as a service (cloud-based reporting)

• Predictive analytics and forecasting models

• Managed analytics and reporting automation

Contact Information:

• Website: www.valuecoders.com

• E-mail: sales@valuecoders.com

• Facebook: www.facebook.com/ValueCoders

• Twitter: x.com/ValueCoders

• LinkedIn: www.linkedin.com/company/valuecoders

• Instagram: www.instagram.com/valuecodersofficial_

• Address: 11th Floor, Max Square, Noida-Greater Noida Expy, Sector 129, Noida, India

• Phone: +91 888 210 8080

11. OneData

OneData focuses quite heavily on making analytics usable for day-to-day decisions, not just for reporting cycles. A lot of their work revolves around real-time visibility - things like KPI tracking, monitoring operations as they happen, and giving teams access to data without needing to go through analysts every time.

They also work across a wide mix of industries, which influences the type of analytics they build. In manufacturing, for example, the focus shifts toward predictive maintenance and reducing downtime, while in logistics it is more about route optimization and tracking disruptions. OneData tends to keep the same core idea across these cases - take raw operational data and make it easier to act on without adding unnecessary layers.

Key Highlights:

• Work with real-time analytics and self-service reporting setups

• Build industry-specific analytics use cases across sectors like healthcare, logistics, and manufacturing

• Focus on operational analytics rather than only high-level reporting

• Use cloud platforms alongside AI and machine learning in analytics systems

Services:

• Real-time analytics and monitoring systems

• Custom BI dashboards and KPI tracking

• Embedded analytics in business applications

• Predictive analytics for operations and maintenance

• Data integration and analytics system development

Contact Information:

• Website: www.onedatasoftware.com

• E-mail: contact@onedatasoftware.com

• Facebook: www.facebook.com/onedatasoftwaresolutions

• Twitter: x.com/OneData_Contact

• LinkedIn: www.linkedin.com/company/onedata-software-solutions-pvt-ltd-

• Instagram: www.instagram.com/onedatasoftwaresolution

• Address: 65, AA Arcade First Floor, Subramaniyam Avenue, Vilankuruchi Main Road, Coimbatore, Tamil Nadu – 641035

• Phone: +91 78456 06222

12. Webgen Technologies

Webgen Technologies approaches analytics more from a consulting and implementation perspective. Their work often starts with understanding how data is currently used inside a company, which in many cases is inconsistent or spread across tools. Instead of replacing everything, they tend to reorganize and connect what is already there.

They provide cloud-based analytics services as part of broader data consulting projects, usually tied to business processes like sales tracking, customer insights, or internal reporting. One thing that stands out is their focus on aligning analytics with actual workflows.

Key Highlights:

• Provide cloud-based analytics services as part of consulting projects

• Focus on aligning analytics with business workflows

• Work with companies that need to organize existing data systems

• Combine analytics with process-level improvements

Services:

• Data analytics consulting and assessment

• Cloud data integration and reporting systems

• Business intelligence and dashboard development

• Data preparation and transformation

Contact Information:

• Website: www.webgentechnologies.com

• E-mail: support@webgentechnologies.com

• Facebook: www.facebook.com/Webgentechnologies

• Twitter: x.com/webgentweet

• LinkedIn: www.linkedin.com/company/webgen-technologies

• Instagram: www.instagram.com/wg.technologies

• Address: 507A, 5th Floor, PS Aviator Building, Chinarpark, Biswa Bangla Sarani, Kolkata: 700136 7

• Phone: +91 3346036949

13. Accenture

Accenture operates at a much larger scale, where cloud-based analytics is part of broader cloud and transformation programs. Their work often involves modernizing entire technology stacks, where analytics becomes one layer within a wider system that includes infrastructure, applications, and security.

They work across industries and provide cloud-based analytics capabilities through partnerships with platforms like AWS, Microsoft, and Google Cloud. In many cases, their role is to help organizations move away from older systems while building data environments that can support AI and real-time processing.

Key Highlights:

• Work with cloud-based analytics as part of large-scale transformation projects

• Collaborate with major cloud platforms like AWS, Microsoft, and Google Cloud

• Focus on modernizing legacy systems and building scalable data environments

Services:

• Cloud data and analytics strategy

• Data platform modernization and migration

• Real-time data processing and analytics systems

• AI and analytics integration within cloud environments

• Data governance and cloud security support

Contact Information:

• Website: www.accenture.com

• Address: 8/1, Prestige Technopolis, Dr. MH Maregowda Road, Audugodi, Bengaluru, Karnataka, India, 560029

• Phone: +918069541600

14. Livexpert Technologies

Livexpert Technologies stays fairly close to the infrastructure side of cloud analytics. Their work often begins with setting up or restructuring cloud environments before analytics is even introduced. In many cases, that means designing cloud architecture, handling migrations, and making sure data is stored and accessed in a way that does not create problems later.

Once that base is in place, they move into analytics setups that focus on visibility and day-to-day usage. A typical scenario is bringing data from different systems into one place and building dashboards that teams can actually rely on. Livexpert Technologies also puts some weight on governance and security, which tends to matter more for companies dealing with compliance requirements or sensitive data.

Key Highlights:

• Provide cloud-based analytics and infrastructure services

• Work with AWS and Microsoft Azure environments

• Focus on building scalable analytics foundations

• Combine data integration with cloud architecture design

Services:

• Cloud architecture design for analytics systems

• Data integration and centralized data platform setup

• Cloud data storage and management

• Real-time analytics dashboards and reporting

• Cloud migration for data and applications

Contact Information:

• Website: livexperttechnologies.com

• E-mail: info@livexperttechnologies.com

• Facebook: www.facebook.com/people/Livexpert-Technologies/61574875643301

• Twitter: x.com/LivexpertTech

• LinkedIn: www.linkedin.com/company/livexpert-technologies

• Instagram: www.instagram.com/livexperttechnologies

• Address: Bhutani Cyber Park, Block C Sector 62, Noida - 201309, India

• Phone: +91 - 800 800 5672

Conclusion

Looking across these companies, one thing becomes pretty clear - cloud-based analytics is no longer just about “moving data to the cloud.” Most teams are dealing with something messier. Old systems still exist, data lives in too many places, and reporting rarely tells the full story on its own.

What separates these companies is how they handle that reality. Some lean heavily into building clean data foundations before anything else. Others focus on making analytics usable inside everyday workflows, not just for analysts. And then there are those working at a larger scale, where analytics sits inside broader cloud or transformation programs. None of these approaches is universally better - it really depends on where the business is starting from.

There is also a noticeable shift away from one-off projects. A lot of this work is ongoing by nature. Data grows, systems change, and what worked six months ago often needs adjusting. The companies that seem to fit best are the ones that treat analytics as something that evolves, not something you “finish.”

If anything, the takeaway here is fairly simple. Good cloud analytics is less about tools and more about structure. When the underlying setup makes sense, insights follow more naturally. When it doesn’t, even the best dashboards feel a bit off.