Turning Data into Reliable Insights
At AQL Technologies, we understand that data is the new currency of the digital economy, and transforming this wealth of information into meaningful insights is essential for success in today’s business landscape. With over 15 years of experience, we bring deep expertise, proven methodologies, and hands-on project consulting to ensure your analytics initiatives deliver measurable value.
Our Power BI consulting and development teams help you unlock the full potential of Microsoft’s analytics ecosystem through the right strategies, migration plans, scalability, and security frameworks. Our comprehensive services include end-to-end Power BI implementation, supported by robust governance, data security, and management practices, as well as real-time, interactive dashboards designed around your specific business needs.
At AQL, we don’t just build reports — we build trusted data platforms that empower your organization to make faster, smarter, and more confident decisions.
AQL’s comprehensive services cover the entire data lifecycle — from data integration, modeling, and migration to data warehousing, visualization, and predictive analytics. Our experts design real-time dashboards and interactive Power BI reports that provide visibility into KPIs, operational performance, and strategic outcomes.
Whether you are modernizing your data infrastructure, migrating to Azure, or establishing an enterprise-wide analytics culture, AQL helps you harness your data as a strategic asset — turning raw information into reliable, actionable intelligence that fuels business growth and innovation.
We Focus on Delivering Measurable Business Value by
- Implementing data governance and master data management frameworks that ensure accuracy and trustworthiness.
- Enabling self-service analytics so business users can access insights without IT bottlenecks.
- Leveraging automation and AI-driven analytics to uncover trends, anomalies, and opportunities faster.
- Ensuring scalability, performance, and data security across the entire analytics ecosystem.
Data Architecture
The solution delivers a trusted single source of truth for enterprise data, ensuring clean, consistent, and reliable information across the organization. Integrated analytics continuously monitor key KPIs and data quality, providing accurate insights for decision-making. By breaking down data silos, this unified data platform empowers every department to access and act on the same reliable information while driving alignment, transparency, and performance.
AQL’s consulting services help organizations create a centralized Data Distribution Hub which provides trust-worthy data and insights for better decision making. These services involve developing strategies, implementing platforms, and using analytics tools to unify data, streamline operations, ensure compliance, and support advanced analytics.
Microsoft Fabric Solutions
- Complete Fabric architecture and design
- One Lake based data modelling
- Data pipelines for data extraction, acquisition, modelling and sink
- Semantic models for all types of Organizations
Azure Data Factory Pipelines
- Integration with Amazon S3 buckets, ADLS, FTPs, SharePoint, SQL DB, and many other platforms and databases.
- Dynamic pipeline execution
- Complex transformation handling and monitoring
Azure SQL Development
- Database development and administration
- ADF and Power BI integration
Azure Data Lake Storage (ADLS) Architecture
- Bronze/Silver/Gold layer structure
- Dynamic file processing strategy
- Role based access control
- Integration with Fabric, ADF, Azure Databricks, and Power BI
Azure Databricks Engineering
- Delta Lake architecture for faster data processing
- Automated Notebooks for ETL/ELT
- Unity Catalog integration
- Workflow management and monitoring
SharePoint Online
- Secure Site/Content management and archiving
- Site administration and usage analytics
- Integration with Power BI and Fabric
- Automate Power Automate flows
Power BI Consulting Services
Power BI Governance
Our governance approach involves defining IT capabilities, providing deployment solutions, licensing strategy, ensuring policy compliance, and much more.
Power BI Training
Our hands-on Power BI training uses content which allows to address company’s business data needs and optimize Power BI to its fullest.
Power BI Implementation
Our consulting and development team offer the knowledge about how, where, and why of implementing Power BI solution.
Power BI Visualizations
We can help you build custom dashboards to get 360-degree view of business operations for informed decision making.
Solutions to Typical Data Platform Issues
Problem Statement #1
The company relied on a third-party subscription-based tool to look up Customer, Invoice, Equipment, and Parts information. This external tool contained static, outdated content and did not refresh frequently. As a result
- Users could not rely on the tool for real-time or accurate data
- Search and filtering capabilities were limited
- The subscription added recurring costs without delivering scalable value
The organization needed a modern, self-managed solution that would give users the ability to search, filter, and report on required information.
Solution Implemented
We performed a complete replacement of the external tool by designing a modern, data-driven internal system:
- Source System Analysis
- Analyzed the structure of the existing operational database and identified all relevant tables for Customers, Billing, Parts, Equipment, and Invoices.
- Mapped the relationships and established a unified data model to support reporting and search scenarios.
- Data Migration
- Extracted and migrated all required data into a new SQL database, ensuring optimized schema design for fast lookups.
- Implemented data validation rules to ensure accuracy and consistency.
- Semantic Model Development
- Built a comprehensive semantic data model that connected all customer, billing, parts, and equipment entities.
- Defined relationships, hierarchies, calculated fields, and business logic to support advanced querying and analytics.
- Custom Reporting & Search Application
- Developed a report/dashboard that fully replicated and enhanced the external tool’s capabilities.
- Implemented rich search and filtering features including:
- Customer lookup and profile details
- Invoice information and billing history
- Equipment and parts search
- Interactive drill-downs and cross-filtering
- Business Outcome
- Eliminated dependency on the paid external tool, saving recurring subscription costs.
- Improved user experience with faster search, advanced filters, and cleaner navigation.
- Delivered a scalable foundation that can expand as new reporting needs arise.
Problem Statement #2
The organization was relying on a set of legacy SSRS reports that were difficult to maintain. These reports suffered from:
- Lack of central governance—each SSRS report used its own queries, making version control difficult.
- Limited visualization capabilities and no self-service analytics support for business users.
The client needed a more modern, scalable reporting platform that would consolidate data logic, reduce maintenance, and provide interactive, business-friendly insights.
Solution Implemented
We led the modernization of the entire reporting environment by migrating SSRS reports to Power BI:
- Comprehensive Analysis
- Reviewed all existing SSRS reports, their use cases, underlying SQL queries, parameters, and business logic.
- Identified overlapping datasets and redundant logic to determine the most efficient consolidation strategy.
- Semantic Model Design
- Designed and developed a single unified semantic data model in Power BI.
- Centralized all calculations, relationships, and business rules to ensure consistent metrics across all reports.
- Optimized the model for performance, reusability, and data governance.
- Report Conversion & Modernization
- Rebuilt each SSRS report in Power BI using interactive visualizations, drill-downs, slicers, filters, and dynamic navigation.
- Enhanced the end-user experience by enabling:
- Ad-hoc analysis
- Cross-filtering
- Export and drillthrough options
- Intuitive layouts aligned with business workflows
- Performance & Data Refresh Optimization
- Leveraged incremental refresh and optimized queries to improve responsiveness.
- Implemented reusable datasets to ensure long-term maintainability.
- Business Outcome
- Delivered a complete reporting modernization with user-friendly, interactive Power BI reports.
- Reduced technical debt by eliminating redundant SQL queries and legacy SSRS infrastructure.
- Empowered business users with self-service analytics and faster insights.
Problem Statement #3
The client’s existing Power BI reports were experiencing multiple functional issues, including:
- Incorrect or inconsistent calculations across key metrics.
- Data refresh failures caused by broken connections, and outdated gateway configurations.
- Performance bottlenecks due to unoptimized DAX measures, redundant queries, and overly complex data models.
- Reports delivering incorrect insights, resulting in user frustration and reduced trust in the analytics platform.
- Frequent manual interventions required to fix refresh problems, increasing operational overhead.
These issues significantly impacted decision-making and prevented stakeholders from relying on Power BI for accurate, timely business insights.
Solution Implemented
We conducted a comprehensive assessment and remediation of the Power BI environment to stabilize
and optimize reporting:
- Environment Assessment & Root Cause Analysis
- Reviewed all existing reports, datasets, DAX measures, Power Query transformations, and scheduled refresh settings.
- Identified multiple root causes, including:
- Incorrect DAX measures and ambiguous filter contexts
- Broken or outdated data source paths
- Inefficient Power Query steps leading to refresh failures
- Large data volumes without proper model optimization
- Documented issues and mapped each to the affected report and business metric.
- Targeted Fixes & Optimization
- Corrected calculation logic by rewriting DAX measures using proper filter context, variables, CALCULATE expressions, and relationship adjustments.
- Fixed data refresh issues by:
- Optimizing Power Query transformations
- Removing unnecessary steps
- Correcting column types
- Reconfiguring the gateway and validating credentials
- Improved query folding and applied best practices for efficient data loading.
- Model Enhancements
- Cleaned up the data model by removing unused columns, tables, and relationships.
- Added star-schema-like structure where feasible to ensure predictable calculations.
- Ensured consistent business logic across reports by centralizing shared measures.
- Validation & User Testing
- Performed end-to-end validation of all metrics.
- Worked directly with stakeholders to confirm accuracy and reliability of the corrected reports.
- Business Outcome
- Successfully resolved calculation inconsistencies and stabilized data refresh processes.
- Increased accuracy and trust in Power BI reporting across business teams.
- Reduced maintenance workload by eliminating recurring refresh failures.
- Enhanced performance and responsiveness of reports, leading to better decision-making
Problem Statement #4
The client faced ongoing data management challenges related to how data was ingested, refreshed, and maintained within their analytics environment.Key issues included:
- Manual, inconsistent processes for importing files from Amazon S3 into downstream systems.
- Lack of a reliable incremental data refresh mechanism, causing unnecessary full loads and impacting performance.
- Minimal data validation and transformation, leading to quality issues such as duplicates, missing records, and inconsistent formats.
These problems collectively increased operational overhead, and slowed down business reporting cycles.
Solution Implemented
To stabilize and modernize the client’s data ingestion and management process, we designed and implemented a fully automated solution using Azure Data Factory (ADF):
- End-to-End Pipeline Development
- Built ADF pipelines to automatically ingest data files from Amazon S3 into the client’s SQL database.
- Configured dynamic path resolution and controlled metadata-driven ingestion to accommodate varying file structures and naming conventions.
- Incremental Data Refresh Implementation
- Designed an improved incremental load process, reducing the need for full file ingestion.
- Applied logic to detect and load only new or updated records, significantly reducing processing time and improving data freshness.
- Data Transformation & Validation
- Implemented data cleansing steps within ADF Data Flows and SQL staging, addressing:
- Duplicate records
- Incorrect data types
- Missing or inconsistent values
- Enforced business rules to ensure accurate and standardized data prior to loading into the final SQL tables.
- Implemented data cleansing steps within ADF Data Flows and SQL staging, addressing:
- Improved Data Quality & Availability
- Ensured that validated, clean data was consistently available for Power BI and downstream reporting.
- Reduced manual dependencies, minimized failures, and improved the reliability of refresh cycles.
- Business Outcome
- Achieved a stable, automated data ingestion process with higher data accuracy.
- Significantly improved data availability through efficient incremental refresh.
- Enabled faster and more reliable reporting by providing a consistent flow of high-quality data into SQL.
- Reduced operational effort and improved trust in the BI environment.
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