Staff augmentation firms offer better risk mitigation, greater speed, higher...
Read MoreOptimize your data infrastructure with our Data Engineering services. We specialize in designing scalable data pipelines and architectures using technologies like Azure, AWS, GCP, Snowflake, SAP S/4HANA, and Dynamics 365. Our expertise spans big data solutions, including Hadoop and Spark, to ensure your data is managed and analyzed with near-zero downtime.
Design and develop intelligent agents, copilots, and conversational applications with in-house AI consultants. Get a strategic roadmap to build scalable GenAI and LLM products on OpenAI, Claude, and open-source model stacks, automating workflows and delivering behaviour metrics and customer language assessment in real time.
Fill your data engineering or AI expertise gap, add flexibility to your current team, and build a pool of Certified Data Analysts, Power BI/Tableau/MS Fabric Developers, and AI/ML Engineers, backed by dedicated project managers who track every request through a shared delivery dashboard, managing turnaround within a business day.
Data warehouse setup, predictive analytics work and modeling, stand on data-driven decisions with our comprehensive data engineering and managed analytics solutions, spanning Power BI, Tableau, and MS Fabric dashboards that work with your current datasets and produce profitable insights your team can act on the same day.
Enabling enterprises to adapt, innovate, and succeed with digital transformation consulting. We understand every business is different and offer custom strategies built around cloud migration, legacy modernization, and process automation, designed to meet the specific requirements of your industry, geography, regulations associated and stage of growth.
Build and maintain custom BI dashboards on Power BI, Tableau, and MS Fabric, backed by in-house BI consultants who handle both first-time setup and ongoing dashboard therapy and management. Get stakeholder reporting that runs on governed, single-source models, with insights updated as data lands instead of scattered exports.
Hike in user retention rates
Lesser manual testing errors
Play store downloads
Better data visibility
Plus inclusivity-focused
Improved response time
Faster detection of sales shifting patterns
Cut in analysis period
Stores performance analysis
Hrs saved/week on tracking
Faster reporting times
Improved data accuracy
Employee headcount tracking
Improved functionality
Functionality in the ticketing system
Mins Offer processing time (previously 2 hrs)
Improved inventory optimization
Reduced multi-currency discrepancy
Data Engineering (Azure, AWS, GCP)
Business Intelligence (Power BI, Tableau)
GenAI & AI Agents
Ready-to-Deploy Accelerators
Staff Augmentation
Engagement Models
Full-Lifecycle Ownership
Enterprise-Proven
Time-to-Value
DataToBiz supports Azure, AWS, and GCP technology implementation
DataToBiz covers MS Fabric, Power BI, Tableau, and dashboard therapy solutions
DataToBiz builds custom AI agents, copilots, RAG, and LLM solutions
DataToBiz has 10+ accelerators, live within weeks
DataToBiz embeds certified data engineering talent in your team
DataToBiz offers project-based contracts, managed services, GCC, or BOT models
DataToBiz manages discovery to deployment to optimization
DataToBiz is trusted by L&T, Unilever, Godrej, Mondelez and Kellogg's
DataToBiz delivers in weeks, faster with accelerators
Usually limited to one cloud platform
Usually offers one-dimensional BI implementation
Often provides off-the-shelf chatbots, not custom agents
Mostly custom builds, take months to launch
Usually consulting only, no dedicated bench
Often provides one-size-fits-all contracts
Support often ends after delivery
Client base varies by provider
Usually quarters, based on custom scope
Data Engineering (Azure, AWS, GCP)
DataToBiz supports Azure, AWS, and GCP
Usually limited to one cloud platform
Business Intelligence (Power BI, Tableau)
DataToBiz covers MS Fabric, Power BI, Tableau, and dashboard therapy solutions
Usually offers one-dimensional BI implementation
GenAI & AI Agents
DataToBiz builds custom AI agents, copilots, RAG, and LLM solutions
Often provides off-the-shelf chatbots, not custom agents
Ready-to-Deploy Accelerators
DataToBiz has 10+ accelerators, live within weeks
Mostly custom builds, take months to launch
Staff Augmentation
DataToBiz embeds certified data engineering talent in your team
Usually consulting only, no dedicated bench
Engagement Models
DataToBiz offers project-based contracts, managed services, GCC, or BOT models
Often provides one-size-fits-all contracts
Full-Lifecycle Ownership
DataToBiz manages discovery to deployment to optimization
Support often ends after delivery
Enterprise-Proven
DataToBiz is trusted by L&T, Unilever, Godrej, Mondelez and Kellogg's
Client base varies by provider
Time-to-Value
DataToBiz delivers in weeks, faster with accelerators
Usually quarters, based on custom scope
Your information is kept secure and confidential. We respect your privacy and will not share your data with third parties without your consent.
Business Development Head
Discussing Tailored Business Solutions
F-429, Industrial Area, Phase 8B, Mohali, PB 160059 Punjab, India
+91 70099 35623
#1819, 99 Wall Street, Financial District, New York, NY 10005
+1 628 2511377
Plot 17950, Haile Selassie Road, Gaborone. P.O.Box. 21498 Bontleng, Gaborone, Botswana
+267 77190790
Naseem Compound, Al Jubail, Eastern Province, Kingdom of Saudi Arabia. P.O.Box 10025
+966 537497276
What sets us apart is our commitment to constant learning. Whenever something new comes up in the industry, we are on top of it, backed by 350+ R&D hours invested every quarter, making sure you get the most advanced solutions for your data analytics needs.
Learning is one thing, and applying what you learned is another. This is why we not only learn but also implement. Our progressive approach, along with our experimental zeal, has made us who we are today, trusted across 20+ countries with 120+ client engagements.
We have an understanding of how things work. This is why we are equipped with technology and tactics that give our clients the edge. With us, it is not just about the big win. We use every data point to power up your digital future, backed by an 80+ person team and 10+ Fortune 500 clients.
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Read MoreYes. DataToBiz supports the entire lifecycle from use case discovery and data assessment to architecture design, agent development, deployment, and ongoing optimization. This ensures continuity, accountability, and faster execution without unstable ownership patterns.
By prioritizing high-impact use cases, working in phased rollouts, and aligning solutions or products with existing workflows. Early-stage dashboards or agent models are delivered quickly, with iterative improvements to expand impact over time.
Alongside full-time consulting, we also offer project-based collaboration under our staff augmentation engagement model. This ensures a lot faster time-to-value for short-term BI and AI projects.
Engagements are structured around flexible models, including project-based delivery, dedicated teams, or ongoing support. This allows enterprises to scale resources based on complexity, timelines, and internal technology capabilities.
Architecture is designed around scalability, interoperability, and performance. This includes centralized or hybrid data layers, robust pipelines, and BI/AI integration tailored to the client’s existing ecosystem.
DataToBiz works with existing enterprise systems, including ERPs, CRMs, and cloud platforms, ensuring seamless data flow and minimal disruption. The focus is on enhancing current infrastructure rather than replacing it.
Through structured data pipelines, repeated validation checks, standardized definitions, and role-based access controls. This creates a reliable and governed data environment for accurate reporting and analysis. And this applies to any geography-sensitive security and safety standards.
Most of the solutions suggested by DataToBiz are built using modular architectures and cloud-ready frameworks that can handle growing data volumes, user counts, and new use cases without major rework.
Via the KPI approach! Impact is measured through predefined KPIs such as reporting efficiency, decision turnaround time, cost savings, and operational improvements, tracked continuously after deployment.
Internal teams are involved during requirement gathering, validation, and feedback cycles. The level of involvement is kept structured to avoid disruption while ensuring alignment with business needs.
Through intuitive solution design, role-based dashboards, and guided onboarding. Training and documentation are provided to ensure teams actively use the solution in their daily workflows.
Ongoing monitoring, performance tuning, enhancements, and onboarding of new use cases. This ensures the solution continues to evolve with changing business requirements.
