Data and Analytics Consulting

Unlock the potential of strategic data to build an insights-driven enterprise

How do you empower your organization to be data-driven?

Are you looking at enabling greater access to data and insights? 

Do you want to integrate digital, operational, and transactional data with advanced analytics and AI models to transform them into intelligent workflows?

It starts with envisioning the challenges and ideating the tailor-fit data and analytics solutions and roadmap.

Get In Touch

Our data and analytics consultants inspire the possibility and provide data and analytics consulting services to accelerate your time to insights and RoI.

We at Saxon help organizations with consulting, data strategy, and architecture, enabling the cloud to transform your data landscape. Furthermore, we simplify insights and foster trust with advanced analytics models powered by best data engineering practices.

Our Services

Data Strategy

Ideate, define, and design data strategy to support enterprise operations transformation. Enable functional use cases with multiple data sources, types, and formats.

Data Engineering and Governance

Simplify data access to provide the right data at the right time for organizational insights. Our consultants can identify, analyze and manage the best digital tools for your needs.

Data Modernization

Enabling cloud transformation to Microsoft Azure, AWS, etc., with our strategic data migration expertise. Modernize your data architecture and business apps for seamless insights.

Data Visualization at Scale

Identify the self-service BI tools and explore the inherent features to transform critical data from finance, supply chain, sales, marketing, HR, and operations.

Advanced Analytics and Machine Learning

Empower your business with the latest advanced analytics and machine learning techniques and data science methodologies to support through the data modeling life cycle.

How do we do it?


Identify the data sources, types, and formats and discover the potential of the data.


Strategize the data ingestion and integration from the available data sources.


Devise a data engineering and governance satisfy to enable trust and data reuse.


Enable modern data architecture and data pipelines to simplify access to insights.


Solutioning with the best data science techniques and advanced analytics models.

Our Data and Analytics Consulting Services – Benefits

Improve self-service analytics by simplifying data access. 80% of organizations face challenges across multi-cloud environments.

More value from AI as you can scale data practice. 50% of businesses struggle to analyze the AI data needs and complex data.

Competitive advantage with data-led AI transformation. 75% of CTOs strive for data-led value discovery across the stakeholders.

Saxon’s Data to Insights Solution

Our Solution – InsightBox

As per McKinsey, over three years, organizations can reduce 20-50% of their data investments by leveraging options like prebuilt-data pipelines, automated reports, and enhanced data operations.

With in-built data engineering components, pre-built dashboards, and industry-specific AI and ML use cases, InsightBox operates with efficiency at the nucleus.

InsightBox addresses the needs across your data lifecycle by connecting your data sources, organizing and preparing data for insights, and simplifying dashboards and predictive insights. The platform is:

  • Cloud-agnostic – On-prem, Azure, AWS, or Google
  • Scalable with self-service capabilities powered by low-code
  • Holistic across the data engineering and insights to reduce cost, time, and data teams effort by around 50%
  • Highly secure

Meet the Expert

Radhika is a solution architect and experienced product owner with a strong track record of converting business requirements into scalable technology solutions. With over 16 years of experience, she specializes in architecting and implementing enterprise data solutions for delivering actionable intelligence. Her expertise provides thought leadership and technical guidance to ensure successful solution delivery. During her career, Radhika has created several solution accelerators and frameworks that streamline the data migration process, translating to substantial cost savings and reduced time to market high-quality solutions. She has leveraged Azure to architect, develop, and deploy cloud-based applications for data visualizations, resulting in increased data processing efficiency and effectiveness. Radhika’s proficiency extends to SQL Server, where she has acquired extensive database construction experience. She excels in designing and coordinating prototypes or proof of concepts, ensuring the successful execution of projects. Overall, Radhika’s diverse skill set and her deep understanding of Azure solutions and SQL Server make her an invaluable asset for businesses seeking innovative and efficient solutions to their technological challenges.