Enterprise Data Services Built for
Decisions, Scale & AI
Data is the foundation of every modern enterprise. As a trusted enterprise data services provider, TO THE NEW delivers end-to-end data services, data analytics, and AI solutions that help organizations modernize data estates, enable AI-ready platforms, and turn data into actionable business intelligence.
Our expertise in data engineering, business intelligence, predictive analytics, machine learning, natural language processing, deep learning, and generative AI enables organizations to build scalable data pipelines, uncover hidden patterns, and forecast trends with precision.
By integrating automation, quality validation, and advanced analytics, we empower businesses to enhance performance, improve customer experiences, and drive smarter, data-led decisions that fuel sustainable growth.
- 40%faster reporting and analytics
- 30%improved data quality leading to better insights
- 20%faster decision-making
Companies that trust us
Enterprise Data Services
Across Strategy, Platforms
& Intelligence
Our AI-powered data services deliver end-to-end solutions across the enterprise data lifecycle; we enable businesses to make faster, smarter decisions and unlock long-term value.
We define a clear roadmap for enterprise data transformation, aligning data strategy, governance, and architecture with business objectives. Executives gain clarity on how to scale AI, analytics, and cloud initiatives efficiently.
Design and build secure, scalable data service platforms using modern cloud architectures. Our data engineers implement reliable pipelines, automated validation, and resilient data foundations that support analytics, AI, and enterprise reporting.
Use machine learning, predictive analytics, and deep learning to uncover patterns, forecast outcomes, and personalize experiences. Our AI-centric solutions help enterprises shift from hindsight to foresight.
Transform raw data into business-ready intelligence with data analysis, quality checks, visualization, and reporting. We specialize in open-source self-service BI implementation and seamless migration, enabling enterprises to make smarter, faster decisions.
Harness the power of Generative AI to predict outcomes, personalize experiences, and create competitive differentiation.
Establish end-to-end data trust with clearly defined ownership, access controls, and transparency using industry-standard governance frameworks.
Migrate from legacy systems to cloud-native, secure, and high-performing data platforms to improve efficiency and reduce costs.
Adopt agile DataOps practices to accelerate deployments, standardize workflows, and ensure reliable, real-time analytics with 24×7 monitoring and support for uninterrupted data operations.
Our Data Capabilities
Enterprise data platforms we work with to deliver scalable, secure, and future-ready data solutions.
Modern, secure, and cost-efficient cloud data platform for analytics at scale
Unified platform for AI, data science, and advanced analytics
Our Expertise
GenAI x Enterprise Data Services
Our GenAI-powered data services combine machine learning, large language models (LLMs), and advanced analytics to accelerate insight generation, automate decision-making, and unlock conversational access to enterprise data - securely and at scale. Transform enterprise data into GenAI-powered intelligence to outpace competition with faster insights, smarter automation, and scalable AI adoption.
Key capabilities
GenAI-driven data exploration, quality, & summarization
LLM-powered conversational analytics
Automated feature engineering & model optimization
Synthetic data generation for AI training
Explainable and governed GenAI workflows
How Our Enterprise Data
Services Drive Measurable
Business Outcomes
Whether you’re modernizing legacy data platforms, scaling AI initiatives, or improving decision-making, our enterprise data services help you move faster, from raw data to measurable business outcomes, without operational complexity.
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Faster, smarter executive decision cycles
Enable leaders to move from static reporting to real-time, AI-driven insights, reducing decision cycles, improving forecasting accuracy, and driving confident, data-led growth

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Reduced operational costs through automated insights
Our enterprise data services automate insight generation across analytics workflows, reducing manual intervention, lowering operational costs, and improving productivity. This allows leadership teams to reinvest resources into innovation, customer experience, and strategic growth initiatives

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Scalable, cloud-ready data platforms built for growth
We design cloud data services that scale with business ambition, supporting enterprise-wide analytics, AI, and innovation while maintaining security, governance, and cost control. Organizations gain a future-ready data foundation aligned to long-term digital and growth strategies

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Production-ready AI models with continuous monitoring
Our production-grade AI and machine learning models are built with governance, explainability, and continuous monitoring at the core, giving executives confidence that AI initiatives are reliable, compliant, and delivering sustained value at enterprise scale

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Higher ROI from data, analytics, and AI investments
By tightly aligning data strategy, analytics, and AI initiatives with business objectives, our enterprise data services help organizations accelerate value realization, track measurable outcomes, and maximize ROI from data, analytics, and AI investments

Our Accelerators
Accelerate innovation with our proprietary tools that reduce time-to-market and amplify your data capabilities.
A robust accelerator with ready-to-use modules for data ingestion, data quality, and data
validation, reducing time-to-market and ensuring data reliability from day one.
Award and recognition
We are proud to be recognized by industry leaders.
Listed as one of the Top IT Vendors for our Data & Analytics capabilities

Featured in the Everest PEAK® Matrix for Mid-Market Enterprise Analytics Services
ISO 27001 certified, upholding the highest standards of information security and risk management
SOC 2 compliant, ensuring secure, reliable, and privacy-first data engineering solutions
Our Strategic Partnerships
Collaborating with world-class technology leaders to scale your data success.
Build AI-ready data platforms that deliver
measurable business impact
Our insights
Stay ahead with the latest industry trends, our thought leadership and perspective.Latest from our blog
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Subscribe nowWhy Partner with TO THE NEW?
Data-driven innovation, future-ready solutions.
- Proven expertise in modern, tailored data engineering frameworks, analytics and BI tools for industry-specific needs
- AI/ML-driven solutions, proprietary accelerators and reusable components that cut time-to-value and reduce costs
- Flexible, customer first approach, ensuring that decisions are driven by your needs rather than technology or vendor lock-in
- Improved data availability through modern architectures, cloud data platforms, and resilient pipelines
- Global expertise with certified teams across AWS, Azure, and GCP for secure, high-performance architectures
FAQs
Data services vs data analytics vs data science - what’s the difference?
Enterprise data services focus on building, modernizing, and governing the data foundation, covering data strategy, data engineering, cloud platforms, and operations. Data analytics focuses on analyzing data for insights and reporting, while data science applies advanced modeling and machine learning. Strong data services enable analytics and data science to succeed at scale.
How can enterprise data services help leaders make faster, better decisions?
Enterprise data services unify data across systems, improve data quality, and enable advanced analytics. By combining cloud data services with AI and automation, organizations gain real-time insights, predictive intelligence, and faster decision-making across business, operations, and customer experience.
When should an organization invest in modern data management solutions?
Organizations should invest in modern data management solutions when legacy systems limit analytics, data quality issues impact trust, or AI initiatives struggle to scale. Robust data management enables governed, secure, and analytics-ready data across the enterprise.
How do cloud data services support scalable analytics and AI initiatives?
Cloud data services provide elastic storage, high-performance processing, and AI-ready architectures. They enable enterprises to scale data analytics services, machine learning, and generative AI workloads securely while optimizing performance, cost, and governance.
What role does data strategy play in successful data transformation?
A strong data strategy aligns data platforms, governance, and analytics with business goals. Data strategy services help enterprises prioritize use cases, define architectures, and ensure that data investments translate into measurable business outcomes, not isolated technical projects.
How do data analytics services improve ROI from enterprise data investments?
Data analytics services turn raw data into actionable insights through BI, predictive analytics, and AI-driven intelligence. By linking analytics directly to business KPIs, enterprises can track impact, optimize performance, and maximize ROI from data and AI initiatives.
How does generative AI fit into your data services offering?
Generative AI is embedded into our data services to enhance insight generation, automate analytics workflows, and enable conversational access to enterprise data. By combining generative AI with governed data platforms, we help organizations scale AI adoption securely and responsibly.
Can TO THE NEW help define a long-term data strategy for my organization?
Absolutely. Our data strategy services help enterprises define a clear roadmap for data, analytics, and AI initiatives. We align data platforms, governance, and operating models with business objectives, ensuring sustainable value creation from data investments.
How do enterprises ensure data security and governance while scaling analytics?
Strong governance frameworks, access controls, and data quality validation are critical. Enterprise data services integrate security and governance into data platforms, ensuring compliance, transparency, and trust, even as analytics and AI adoption scale.





















