Data Analytics & BI Consulting Services
Maximise the value of your data and solve complex business challenges by extracting meaningful insights from structured and unstructured data.
TURN FRAGMENTED DATA INTO TRUSTED INSIGHTS
We help enterprises transform fragmented business and operational data into a strategic asset that drives growth, improves decision-making, and powers AI initiatives.
Through end-to-end data analytics and BI consulting services, we unify data across the enterprise to deliver trusted, real-time, and predictive insights that help organisations act faster, reduce risk, improve operational efficiency, and achieve measurable business outcomes.
Trusted by enterprise & fast-growing tech teams
Data analytics challenges we solve for enterprises
Our enterprise data analytics services help organisations address the data, reporting, and adoption challenges that stand in the way of timely, confident decision-making.
Inconsistent metrics & low trust in data
Eliminate inconsistent reporting and conflicting metrics by establishing common data definitions, governance frameworks, and enterprise-wide visibility into performance.
Delayed access to business insights
Replace slow, manual reporting processes with automated analytics and real-time visibility that enable faster, more informed decision-making.
Low analytics adoption across the business
Design analytics systems around the workflows and data needs of business users, ensuring insights are relevant and actionable.
Limited self-service analytics capabilities
Enable business users to explore data independently, reducing reliance on technical teams and accelerating access to answers, patterns, and predictions.
Inability to move beyond historical reporting
Advance beyond retrospective reporting with predictive and prescriptive analytics that help identify opportunities, anticipate risks, and guide future actions.
Data platforms not ready for growth and AI
Modernise data and analytics architectures to support growing data volumes, evolving business needs, and emerging AI initiatives.
Benefits of data analytics consulting with 10Pearls
Our data analytics services are designed to help enterprises build the capabilities needed to scale.
Faster, more confident decision-making
Turn trusted data into timely insights that help leaders make informed strategic and operational decisions.
Confident AI adoption
Build the analytics capabilities, governance, and data quality needed to support AI adoption and intelligent automation.
Greater operational efficiency
Identify inefficiencies, streamline reporting, and optimise business processes to improve productivity and reduce costs.
Better customer experiences
Use data-driven insights and predictive analytics to personalise experiences, anticipate customer needs, and improve retention.
Enterprise-wide visibility
Unify data across business functions to create a consistent view of performance and enable cross-functional decision-making.
Stronger governance & compliance
Improve reporting accuracy, support audit readiness, and strengthen governance to reduce risk and meet regulatory requirements.
Our data analytics & BI services
Build the analytics capabilities needed to anticipate change, uncover opportunities, and make confident decisions at every level of the organisation with our data analytics and BI services.
AI readiness & decision intelligence
Establish the data foundations required for AI while enabling intelligent insights, anomaly detection, and faster business decisions.
Data analytics strategy & roadmap
Increase the impact of analytics investments with a roadmap that prioritises high-value use cases and aligns data initiatives to business goals.
BI consulting & implementation
Establish scalable business intelligence capabilities with reliable metrics and self-service reporting designed around the decisions your teams need to make.
Dashboard & reporting development
Equip teams with decision-ready insights through intuitive dashboards and reports tailored to executive and operational decisions.
Advanced & predictive analytics
Anticipate opportunities and reduce uncertainty with forecasting, predictive modelling, scenario analysis, and data-driven recommendations.
Managed data analytics services
Expand analytics capabilities and reduce operational burden with dedicated expertise across reporting, analytics, and platform support.
Analytics platform modernisation & migration
Improve performance, lower technology costs, and simplify analytics operations by transitioning from legacy platforms to cloud-based environments.
Why enterprises choose 10Pearls for data analytics consulting
End-to-end analytics depth
From analytics strategy and data architecture to dashboard scalability, we provide the capabilities needed to build and sustain enterprise analytics programmes.
Modern analytics stack expertise
We bring deep expertise across leading analytics & data platforms, including Power BI, Snowflake, and cloud-native ecosystems, enabling secure analytics environments.
Adoption-first approach
We embed governance, training, and change management throughout the engagement to help teams confidently use insights in decision-making.
Strategy-first, decision-led analytics
Every engagement starts with your business objectives and the decisions that drive them, ensuring every analytics initiative delivers measurable value.
Trusted analytics at enterprise scale
Build reliable analytics with the security, data quality, and performance enterprises need to support growth and AI adoption.
How we deliver data analytics & BI services
Our data analytics and BI consulting services are usually divided into the following sequential steps.
Identify high-value opportunities
Stakeholder interviews, business question mapping, and prioritisation of analytics use cases by impact.
Build the foundation for insights
Define the analytics architecture, data model, semantic layer, and dashboard experience aligned to user needs.
Turn data into actionable insights
Develop pipelines, models, and analytics dashboards that scale and adapt to your changing needs.
Empower better decisions
Drive adoption through training, embedded analytics champions, and change management.
Scale business value
Continuously expand analytics coverage, evolve models, and add new use cases as the business grows.
Industries we serve
We combine deep technical expertise with industry knowledge to deliver practical impactful solutions.
Healthcare
Transforms raw clinical, financial, and operational data into actionable insights to improve patient outcomes and streamline facility operations using AI, ML, and statistical models.
Financial services
Assess risks and uncover trends by processing market and transactional data, and use the insights to detect fraud, reduce losses, and provide personalised services.
Media
Analyse viewing habits, social media trends, and financial metrics to optimise release schedules, reduce production risks, and deliver personalised experience to the audience.
Retail
Transform traditional retail experience into a science, driven by evidence-based decisions. Optimise inventory and maximise profitability with predictive analytics.
Insurance
Use statistical tools and AI to evaluate risks, predict outcomes, and automate underwriting. Analyse vast datasets to reduce fraud and offer personalised policies.
Software
Understand user behaviour, monitor performance, and drive decision-making by embedding data capture and analytics within your apps.
Case studies
case study - energy
Optimising Energy Insights with Unified Data Analytics
10Pearls designed a unified data and analytics platform on AWS that consolidated time-series data, continuous CDC sync, and ISO market feeds into a single, cloud-native environment.
case study - TECHNOLOGY
Intelligent Data Analytics Platform
Driving better insights and decision-making through a modernised analytics platform, maximising the impact of data.
case study - energy
AI-Driven Inventory Matching for Smarter Operations
A leading electrical power and distribution provider faced inefficiencies in manually matching transformer orders to available inventory. 10Pearls developed an AI-powered application that automated order matching.
case study - technology
CentralisedCloud Data Warehouse
Advancing student support and success with a cloud-based system which enabled identification of at-risk students.
Insights
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...
Data & analytics
Utilising AI-driven analytics for real estate forecasting and valuation
The US real estate market is currently valued at approximately $50 trillion with commercial and residential segments driving upward growth....
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...
Fintech
Key strategies for navigating 1033 compliance in finance
In its final rule, implementing section 1033 of the Dodd-Frank Act, the Consumer Financial Protection Bureau (CFPB) defined requirements that...
FAQs for data analytics & BI consulting services
What is data analytics consulting?
Data analytics consulting services help organisations extract decision-ready insights from their data to inform strategic choices, improve key processes, and create competitive advantage. It involves evaluating hidden patterns, trends, and predictions from refined data to shape what an enterprise does next.
What is Business Intelligence Consulting?
Business intelligence consulting helps the organisations in building the systems, processes, and reporting capabilities needed to turn data into a continuous source of insight. BI is the broader discipline that establishes the reporting layer, governance, and self-service capabilities of an enterprise with analytics as one of its core pillars, focused specifically on diagnostic, predictive, and prescriptive analysis.
What are the main challenges of data analytics?
The main challenges associated with data analytics include the collection of meaningful data, selecting the right analytics tool, legacy platforms, addressing inconsistent reporting, improving data quality, ensuring timely access to insights, finding skilled analysts, and fostering a data-driven culture.
How is machine learning used in data analytics?
Machine learning (ML) enables you to automate tasks, uncover hidden patterns, and make future predictions from large and disparate data sets. ML algorithms can analyse vast amounts of data to identify complex relationships and spot trend anomalies.
They also free up analysts’ time by automating tedious tasks like data cleaning and sorting to focus more on strategic works like building models and interpreting results.
Turn data into your competitive advantage
Whether you’re modernising legacy BI, building a new analytics platform, or scaling advanced and predictive analytics across your organisation, our data analytics and BI services meet you where you are.