Data Analytics Services
Harness the power of data visualization and uncover actionable insights with AI analytics.
Struggling to make raw data analytics-ready?
Disparate, unstructured, or error-prone data slows reporting and erodes trust. We clean, validate, and transform data into reliable, analytics-ready datasets.
Held back by rule-based analytics?
Without AI, patterns stay hidden, and decisions rely on hindsight. We help teams embed AI into analytics workflows to uncover trends, predict outcomes, and optimize decisions.
Unable to act on insights in real time?
Batch-driven reporting delays response and impact. We implement real-time streaming pipelines and monitoring frameworks to deliver instant, actionable insights.
Modern Data Analytics Services for Reliable, AI-Ready Insights
When data remains scattered in silos, insights become slow, inconsistent, and hard to trust. We modernize your analytics stack with Microsoft Fabric, Azure Synapse, Power BI, and Azure Data Factory, unifying data in a governed, scalable, AI-ready environment.
From integration and modeling to real-time visualization, we streamline analytics delivery so teams can act faster, spot opportunities earlier, and make decisions backed by clarity, not guesswork.
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Our Data Analytics Services
Consulting services
We assess your current analytics maturity, identify capability gaps, and build a clear roadmap aligned to business goals. Our consulting approach strengthens data quality, streamlines processes, and enables scalable, AI-ready analytics across the organization.
Modernization services
We modernize legacy analytics ecosystems using Microsoft Fabric, Azure Synapse, Power BI, and Azure Data Factory. Through unified data management, real-time processing, and predictive analytics, we create a governed, scalable environment built for modern, AI-driven insights.
Implementation services
We design and implement the core components of your analytics ecosystem—from ingesting and structuring data to building semantic models and reporting layers. Our implementations ensure clean, governed datasets that power dashboards, self-service analytics, and decision intelligence.
AI analytics services
We build AI-driven analytics solutions using machine learning models, predictive frameworks, and intelligent recommendations. These solutions help teams forecast trends, optimize operations, and accelerate decisions—powered by secure, scalable Azure and Microsoft Fabric environments.
Data governance for analytics workloads
We establish governance frameworks to ensure your analytics environment is consistent, compliant, and trusted. Our services cover data quality management, lineage, access controls, and metadata governance tailored to predictive analytics, real-time insights, and AI workloads.
Data analytics managed services
We deliver ongoing management and optimization of your analytics environment. Our managed services include platform operations, performance tuning, incident management, model monitoring, and continuous enhancement of dashboards and pipelines.
As a Microsoft Solution and Fabric Featured Partner, LevelShift can help you secure ECIF funding and take advantage of Microsoft Azure Consumption Commitment (MACC) for your PoC and implementation.
Explore Funding OptionsOur Implementation Roadmap
1
Requirement Gathering and Data Assessment
2
Analytics Architecture and Tooling Design
3
Data Modeling and Pipeline Engineering
4
Dashboard and Report Development
5
Advanced Analytics and AI Integration
6
User Adoption, Training, and Analytics Governance
Why LevelShift
Where are you in your Data Transformation Journey?
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FAQs
- Big Data Analytics: Process massive volumes of structured and unstructured data at scale. We uncover hidden patterns, correlations, and trends across petabytes of information, turning data complexity into clear business intelligence.
- Predictive Analytics: Forecast future outcomes using advanced statistical models and machine learning. Anticipate customer behavior, market shifts, and business opportunities before they happen—moving your organization from reactive to proactive.
- Real-time Analytics: Monitor and analyze data as it flows. Get instant visibility into operations, customer interactions, and market conditions. Detect anomalies immediately and respond to critical events in real-time with maximum agility.
- Performance Analytics: Track the metrics that drive business success. We deliver dashboards and reports that measure operational efficiency, reveal revenue drivers, and align teams around data-driven goals and continuous improvement.
- Diagnostic Analytics: Discover the “why” behind your data. We drill into root causes using correlation analysis and data mining to diagnose issues, validate hypotheses, and develop targeted solutions that address core challenges.
Modern analytics solutions often use platforms such as Microsoft Fabric, Azure Synapse, Power BI, Azure Data Factory, Databricks, and Tableau. These tools support scalable data processing, unified governance, and advanced analytics across diverse environments.
Data quality is maintained through validation rules, governance policies, lineage tracking, metadata standards, and role-based access controls. Tools such as Microsoft Purview, Delphix, and native governance features in modern analytics platforms help ensure that insights remain trusted, compliant, and AI-ready.
Yes. Real-time analytics is enabled through services such as Azure Stream Analytics, Event Hub, Databricks streaming, and live connections in tools such as Tableau. These solutions provide instant insights, anomaly detection, and continuous monitoring for time-critical decision-making.
Costs vary based on scope—such as analytics modernization, Fabric implementation, dashboard development (Power BI/Tableau), predictive modeling, or managed services. Engagements typically include project-based delivery, fixed-scope packages, or ongoing managed analytics support.
Yes. Managed Data & Analytics Services typically include platform operations, pipeline monitoring, troubleshooting, performance tuning, dashboard optimization, and ML model monitoring. These services help keep analytics environments reliable, efficient, and continuously improving.