Data Consulting Services
Set up a foundation for faster decision-making and smarter operations, improving efficiency and delivering tangible business value with AI-ready data.
driving measurable impact with data & ai
We help enterprises unify fragmented data and move from strategy to execution, enabling faster decision-making, improved operational efficiency, and scalable AI-driven growth. We strengthen data maturity, governance, and compliance while ensuring secure, ethical data use and cross-functional alignment, so data investments deliver measurable business value and reduced risk.
10Pearls in numbers
225+
enterprises
served
20+
years delivering
data services
700+
projects
completed
1400+
talented engineers and consultants on staff
You are in great company
What are data consulting services?
Data consulting services comprise specialized services designed to help organizations use their data efficiently to make smarter decisions and solve business problems. It includes services like data organization, cleaning, and analysis to make data accurate, accessible, and secure. This allows businesses to generate actionable insights, which can then be presented through dashboards and visualizations.
Common enterprise data challenges we solve
Our data consulting services solve the following operational problems:
Fragmented data across systems
Improve reporting accuracy and decision-making by consolidating data and enabling interoperability across systems and departments.
Slow, unreliable reporting
Streamline data architectures and pipelines to improve data availability and reporting consistency.
Compliance & governance gaps
Reduce risk and improve data trust through stronger governance, clear policies, and improved data quality.
Stalled AI & ML initiatives
Accelerate AI and ML initiatives by improving data quality, availability, and integration across systems to enable reliable analytics and model fine tuning.
Legacy infrastructure that can't scale
Modernize infrastructure to ensure the systems remain stable and adaptable to changing market conditions.
No clear data strategy or roadmap
Develop high-level plans that manage an organization’s data as a strategic asset to improve decision-making and operational efficiency.
Our data consulting services
We deliver end-to-end data services across the full enterprise data lifecycle; strategy, engineering, governance, analytics, and AI enablement.
Data engineering
Build modern data foundations that connect systems and streamline how information moves across the organization. Enable scalable data pipelines for analytics and AI use cases.
Data management
Organize and maintain enterprise data so it is accurate, accessible, and usable across teams. Create a trusted data environment that supports day-to-day operations and decision-making.
Data governance
Ensure data governance by establishing ownership, defining rules, and managing how data is accessed, used, and maintained.
Data analytics & BI
Enable data-driven decision-making through interactive reporting, visualization, and analytics. Help teams identify trends and uncover actionable insights.
Data science
Apply advanced analytical methods and machine learning techniques to uncover patterns and predict outcomes. Enable smarter business actions through data-driven models and experimentation.
Data strategy & consulting
Define a clear roadmap for how data should support business strategy, operations, and growth. Align people, and technology to build a scalable and value-driven data ecosystem.
Why enterprises choose 10Pearls
With over 20+ years of experience and deep industry knowledge, we ensure your data initiatives succeed on time and provide long-term business value.
Expertise across data lifecycle
We empower organizations by streamlining data infrastructure to support AI and ML use cases throughout the data lifecycle.
One partner, end-to-end
We deliver end-to-end services, from data assessments to strategy and governance, tailored to your business needs.
Enterprise-grade delivery
Ensure fast delivery and strong alignment with nearshore collaborations while providing value-driven, enterprise-
Outcomes, not just deliverables
We build robust data platforms that prioritize speed, security, and reliability to drive measurable business impact.
The business benefits of data consulting services
Enterprises that invest in data consulting services see measurable improvements in operational efficiency, compliance, and AI readiness.
Faster, more confident decisions
Organized data flows seamlessly throughout the organization, giving leadership access to reliable reporting and enabling proactive decision-making.
Lower operational costs
Reduce operational costs by optimizing data infrastructure and automating repetitive tasks through data-informed workflows and systems.
Stronger compliance & reduced risk
Minimize the risk of regulatory fines, audit failures, and data breaches, with a well-governed data environment.
AI-led forecasting & automation
AI boosts business by leveraging data to forecast market trends using ML and predictive models to anticipate behaviors and operational constraints.
Scalable infrastructure for growth
Enable scalable growth by modernizing legacy architectures and systems to meet evolving data demands and improve governance and interoperability.
Empowered business teams
Accelerate AI-driven decision-making and real-time insights to support business teams by consolidating data into a unified, governed data platform.
Our data consulting engagement models
Project-based engagement
Engage us on a per-project basis to deliver clearly defined data outcomes within set scope and timelines.
Staff augmentation
Extend your team with our data engineers, analysts, and AI specialists to accelerate delivery.
Managed data services
We run and optimize your data environment to ensure stability, performance, and continuous improvement.
Advisory retainer
Get ongoing expert support on data strategy, governance, and AI adoption to guide key decisions.
How we deliver data consulting services
From discovery to continuous improvement, we deliver enterprise data transformation in five clear steps.
Align data to business priorities
Assess your current data landscape, identify gaps, and align data initiatives to strategic business objectives, operational
challenges, and AI opportunities.
Design an AI-ready data foundation
Define the architecture, governance framework, and operating model needed to ensure data is trusted, accessible, secure,
and ready to support advanced analytics and AI.
Modernize & integrate
Build and modernize the platforms, pipelines, and integrations that unify data across the enterprise and eliminate
barriers to insight.
Operationalize data & AI
Deploy data solutions into production and embed analytics, automation, and AI capabilities into business processes
to drive measurable outcomes.
Optimize for continuous value
Continuously improve data quality, governance, performance, and adoption while scaling new use cases as
business priorities evolve.
Data consulting vs managed data services
Data consulting helps you build and modernize your data foundation. Managed data services help you operate, optimize, and scale it over time.
| Data Consulting Services | Managed Data Services |
|---|---|
| Project-based engagements | Ongoing operational support |
| Strategy, roadmap, and implementation | Monitoring, maintenance, optimization |
| Defined deliverables and timeline | SLA-based continuous service |
| Typical when launching or transforming | Typical when scaling or stabilizing |
10Pearls’ managed data services provide continuous oversight of your data environment, so your internal team can focus on strategic priorities rather than day-to-day operations.
Industries we support
The modern data stack we work with
Data platforms
Integration & orchestration
- Apache Airflow
- Fivetran
- dbt
BI & visualization
- Power BI
- Tableau
- Looker
AI & ML
- OpenAI
- Anthropic
- Hugging Face
Governance
- Collibra
- Alation
- Informatica
Data consulting services case studies
case study - technology
Improving Retention with a Performance Analytics Platform
Helping detect and address churn by designing and developing a performance management reporting system.
case study - technology
Centralized Cloud Data Warehouse
Advancing student support and success with a cloud-based system which enabled identification of at-risk students.
case study - TECHNOLOGY
Agile Cloud Infrastructure
Improving operational agility, reducing cost, and optimizing resource management with a modernized, cloud-based infrastructure.
case study - artificial intelligence
Agentic AI Financial Assistant
Optimizing financial operations with an AI-powered smart assistant designed to automate workflow and enhance decision-making.
Insights
Healthtech
Full clinical snapshot – unifying data for population health
In today's dynamic healthcare landscape, seamless access to comprehensive patient data stands as a cornerstone for informed decision-making and optimal...
AI/ML
5 Essential steps to prepare your data for successful AI implementation
This AI maturity assessment guide defines the maturity levels and provides a set of 25 self-assessment questions to help you...
Data & analytics
AI transformation in fintech customer experiences, ops efficiency, risk management and compliance
A profound transformation is underway in the US Financial Services Industry, and breakthroughs in AI technology and data analytics are...
AI/ML
Generative AI implementation roadmap for enterprise
Learn how to build a generative AI strategy that aligns investment with business priorities, reduces implementation risk, and creates a...
AI/ML
How AI Fraud Detection Works and Where It Still Fails
How AI fraud detection works in real time, which use cases scale first, and where models still fail against AI-powered...
AI/ML
Building Compliant System with Automated Regulatory
Regulatory reporting is high-stakes and error-prone. Learn how to automate reporting and build compliance into every step of the process.
AI/ML
Build and Scale Production ML Pipelines with Databricks MLflow
Building ML pipelines with MLFlow in Databricks can give enterprises already invested in the platform a more governed, repeatable path...
Article
LEAP 2026 Key Takeaways: AI & Digital Transformation in Saudi Arabia
LEAP 2026 highlighted how AI, agentic technology, data, and digital transformation are moving from experimentation to enterprise execution. Explore the...
Mobile app development
Real Estate App Development Guide
Real estate app development involves varying costs, timelines, features, and technical requirements. Explore key development factors, must-have features, and AI...
AI/ML
AI in Hospitals: Scaling Pilots to Production
Learn why most hospital AI pilots stall before production, which high-ROI use cases scale first, and how the Define, Integrate,...
FAQs about data consulting services
What do data consulting services include?
Data consulting services cover strategy, architecture design, data engineering, governance, analytics, and AI transformation. They help enterprises modernize data architectures, strengthen operational frameworks, and unlock value through analytics and AI enablement.
How is 10Pearls different from a traditional data services company?
We combine strong data engineering expertise with a deep understanding of business operations, regulated industries, and modern data ecosystems. We support the full data lifecycle from strategy and architecture to governance, analytics, and AI enablement. Our teams bring mature engineering practices and certified expertise across leading cloud and data platforms to build reliable data solutions.
What’s the difference between data consulting services and managed data services?
Data services consulting is focused on change. It helps you design, build, or transform your data environment with a clear start and end. Managed data services begin after that, taking ongoing responsibility for running, monitoring, and improving your systems so they stay reliable and evolve with your business.
How long does a typical data consulting engagement take?
Timelines vary based on data maturity, scope, and complexity. Smaller engagements like assessments or targeted use cases can take 4 to 8 weeks, while entire data services typically run 3 to 6 months or longer. Most engagements are delivered in phases so businesses see early value before full rollout.
Do you work with our existing data stack or recommend new tools?
We are not tied to any specific vendor, so we stay flexible based on your needs. We work with your existing stack where possible and recommend changes only when necessary. We have deep expertise in platforms like AWS, Azure, GCP, Snowflake, Databricks, and modern BI and AI tools.
How do you handle data security and compliance in regulated industries?
We build security and compliance into critical stages of the data lifecycle. Our team has strong experience working in highly regulated industries, implementing governance, access controls, and audit-ready frameworks to protect sensitive data and meet strict regulatory requirements.
What industries do your data consultants have experience in?
Our consultants have worked across healthcare, financial services, telecom, retail, and technology. As a data management company, we have deep experience in highly regulated industries, where data privacy, security, and compliance are critical, and we adapt our approach to fit each organization’s specific business and regulatory needs.
How do you measure the success of a data consulting engagement?
We measure success through outcomes like decision speed, cost efficiency, AI adoption, and governance maturity, ensuring the data environment delivers measurable business value beyond technical delivery.