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Data Analytics & AI

Unlock value from data at the speed of how you transform

We bring an AI-first, value-driven approach that helps enterprises transform data into a strategic asset. Every decision becomes informed, every process optimized, and every outcome measurable.

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BOND-ing Data With AI To Empower Data-first Enterprises

Our workflow to lead enterprises to be data driven starts at Building your desired data strategy, Orchestrating a robust data architecture, Navigating to a standardized data management and governance, and helping enterprises Discover the latent value through insights.

Build

Building a data transformation plan that meets the needs of your digitalization strategy, considering the data maturity of your organization.

Orchestrate

Orchestrating a modern data architecture that processes voluminous data at scale - built flexible and deployed on cloud, but under a reduced costs.

Navigate

Navigating you through best practices in data storage, management, and governance by provisioning and preparing the right data assets.

Discover

Discovering insights on the power AI analytics solutions - helping businesses with BI visualization for decisive decisions.

Enabling a holding company in the US to seamlessly capture and analyze data, empowered by a robust data analytics platform.

Data Strategy and Governance

A strong data strategy brings seamless integration, compliance, and clear insights, enabling informed and strategic decisions.

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Data Strategy and Governance

Data Engineering

Architecting and deploying advanced data infrastructures – pipelines, data warehouse platforms, and batch processing to efficiently manage and operationalize large datasets.

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Data Analytics

Our experts redefine data visualization enabling you to consume the true state of data. Self-service analytics solutions on the power of AI and machine learning models also enable precise and sound business decisions.

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Data Science & AI/ML

We help turn your analytics vision into reality on the competence of data science. Developing custom models of data statistics and advanced analytics to drive value out of enterprise data.

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Generative AI

Innovative approaches open new avenues, enhancing creativity and efficiency through smart, automated solutions.

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Generative AI

From Data to Decisions:

The SPECTRA Advantage

Built on deep expertise and years of experience, SPECTRA™ is NewVision’s proprietary framework to transform raw data into impactful decisions. It covers the entire journey from acquisition to activation to provide a structured, secure, and intelligent approach to data management.

Spectra Framework

SPECTRA™ is cloud-agnostic by design enabling enterprises to leverage AWS, Azure, or Google Cloud and ensure that the data strategy is driven by business outcomes.

How We Transform Your Business with Data and AI

With a blend of deep industry knowledge and next-gen data capabilities, we partner with you across the entire journey, from data engineering and advanced analytics to AI/ML adoption and Generative AI integration. Together, we turn information into intelligence, and intelligence into measurable business impact

Business Value We Deliver

Business Growth

Accelerate revenue and strengthen profitability with data-driven strategies and customer-focused insights.

Customer Experience Transformation

Reimagine customer journeys with analytics-led personalization, predictive insights, and seamless digital interactions.

Data Monetization

Turn data into a strategic asset by creating new revenue streams and innovative business models powered by analytics and AI.

Productivity Uplift

Enhance operational efficiency and empower employees through AI-driven automation and smarter decision-making.

Cost Optimization

Control and reduce costs with intelligent, data-backed insights that maximize efficiency and resource utilization.

Risk and Resilience

Protect your business with AI-enabled risk management, proactive fraud detection, and compliance assurance.

Responsible AI – How We Deliver It
at NewVision

Responsible AI is at the core of how NewVision designs, develops, and deploys AI solutions. For us, it is not an additional layer, but a guiding principle that shapes outcomes from the very start.

Responsible AI
Ethical by Design
Ethical by Design

Bias checks, fairness considerations, and inclusivity are built into every model.

Transparent & Explainable
Transparent & Explainable

AI decisions can be understood, monitored, and trusted by business stakeholders.

Compliant & Governed
Compliant & Governed

We align with global regulations (GDPR, ISO standards, sector-specific compliance).

Secure & Private
Secure & Private

Data security and privacy safeguards are embedded across the lifecycle.

Sustainable & Responsible
Sustainable & Responsible

AI that is both socially and environmentally conscious.

With Responsible AI as the foundation, our clients gain not only intelligent solutions but also trustworthy, accountable, and future-proof AI adoption.

Success Highlights

Data-centric approach to post-merger integrations (PMI) with MS Fabric

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Data Analytics & AI – Whitepaper

The Transformative Impact of Generative AI on the Data Lifecycle

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Why NewVision To Guide Data To Decisions Steps

9+ Years

of delivering experience

150+

Project delivered

93%

Customer retention

15+

Accelerators & frameworks

3+ years

of average client relationship

Data Analytics & AI FAQs

What are data and artificial intelligence services?

Data & AI are interconnected fields, think of data as the raw material and AI as a technology that uses large amount of datasets to learn, adapt, solve problem and mimic like human intelligence. Data and AI services are combined in a way to get more value out of the information your business already has. It could mean cleaning and organizing your data, spotting patterns with analytics, and developing AI models to automate decisioning capabilities. At NewVision, we don’t just provide tools. We help you turn raw data into something you can actually use to grow and compete.

Why do businesses need data analytics consulting services?

Most organizations sit on a mountain of data but struggle to translate it into meaningful action. Consulting helps bridge that gap. It provides expertise in areas like data strategy, governance, architecture, and visualization, making sure insights are accurate and usable. Without this guidance, it is easy to end up with fragmented dashboards that look impressive but don’t actually influence decision-making.

How can NewVision’s data analytics services benefit my organization?

We focus on business outcomes. With us, you can get faster insights, reduce costs with automation, and build more personalized experiences for customers. Our teams also make sure your data is secure and compliant, so you can innovate confidently.

What is the difference between data security and data privacy?

Privacy is about controlling who should have access to your data and how it is used. Security is about protecting the data from being stolen, leaked, or misused. You need both to build trust. At NewVision, we deliver solutions that balance both, so your data is protected & responsibly handled.

What are the four steps on the journey to enterprise analytics?

We usually guide clients through four stages. First, setting up the right data foundation so everything is clean and connected. Second, using reports and dashboards to understand what has already happened. Third, predicting what might happen next with AI and machine learning. And finally, taking it one step further with prescriptive analytics, where systems recommend actions or automate responses.

How is data secured, and what compliance standards do you follow?

We secure data at every step with encryption, access control, and monitoring. On top of that, we align with global standards like ISO 27001, GDPR, HIPAA, and SOC 2. If you are in a regulated industry like BFSI or healthcare, we make sure your data practices meet those specific requirements too.

How does NewVision define and support data maturity journeys?

Every business is at a different stage. Some are just getting started with basic reporting, others are experimenting with AI. We first assess where you are, then build a step-by-step roadmap. It might involve consolidating your data, modernizing platforms, or embedding AI into processes. The idea is to move forward without overwhelming teams or disrupting what is already working.

How can AI-powered data services improve customer experiences?

AI makes customer interactions feel smarter and more personal. For example, it can recommend the right product, power intelligent chatbots, or predict when a customer is likely to leave so you can act in advance. With the right approach, businesses can move from generic experiences to ones that really connect with people and build loyalty.

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