Service
Data & Analytics Solutions
We turn scattered data into a single source of truth, then put it to work in dashboards, reporting, and the decisions your teams make every day.
What we build.
Six disciplines, from first architecture to production support.
Power BI dashboards and reporting
Executive dashboards and self-service analytics your teams actually use.
- Executive dashboards
- Real-time reporting
- Natural language query
- Embedded analytics
Data warehousing and engineering
Pipelines and warehouses that consolidate scattered data into one source of truth.
- ETL and ELT pipelines
- Data lake architecture
- Azure Data Factory
- Quality and governance
Data platform strategy
Architecture and roadmaps for modernizing how you collect, store, and use data.
- Platform architecture
- Cloud and hybrid strategies
- Master data management
- Warehouse modernization
Snowflake and Azure Synapse
Cloud data platforms implemented and tuned for scale and cost.
- Setup and configuration
- Data modeling
- Cost management
- On-prem migration
Microsoft Fabric
End-to-end analytics on Microsoft's unified platform, ingestion through insight.
- Lakehouse architecture
- Engineering pipelines
- Real-time analytics
- Copilot integration
AI and ML operations
From feature engineering to deployed, monitored models in production.
- Feature engineering
- Training and tuning
- Operationalization
- Ongoing maintenan
Why Aedista
Why Aedista for data and analytics
Our stack
Modern tools we build with
.NET Core
Enterprise web and service backends
Java
Large-scale enterprise systems
Node.js
APIs and real-time services
PHP
High-volume web platforms
React
Modern web front ends
Angular
Enterprise front ends
Next.js
Server-rendered React apps
Swift
Native iOS apps
Kotlin
Native Android apps
Azure
Cloud infrastructure and DevOps
AWS
Cloud infrastructure at scale
Docker
Containerized deployment
Engagement models
Three ways to work with us
Fixed cost
A defined scope, priced upfront, and paid by milestone. Best when requirements are clear and stable.
Time and materials
Built for evolving scope. You pay for delivered work, and priorities can shift as you learn.
Dedicated team
Our engineers work as an extension of your team, on your priorities, at your cadence.
Aedista didn't just advise, they built the system alongside us. They understood our operations, made the complex parts simple, and delivered something our teams actually use every day. The result was immediate and, more importantly, built to last.
Trusted by global brands
Frequently asked questions
What BI tools does Aedista work with?
Aedista works with Power BI as the primary business intelligence platform for most enterprise clients, along with Snowflake for cloud data warehousing, Azure Synapse Analytics for unified big data and data warehousing, Microsoft Fabric for end-to-end analytics from ingestion to insights, and Azure Data Factory for ETL/ELT pipeline orchestration. The team also implements Tableau and other BI tools when client environments require them.
How does Power BI compare to Tableau for enterprise analytics?
Power BI integrates natively with the Microsoft ecosystem including Dynamics 365, Azure, and Microsoft 365, making it the stronger choice for organizations already invested in Microsoft technologies. Tableau offers more advanced data visualization capabilities and broader cross-platform data connectivity. Aedista recommends Power BI for most enterprise clients because of its cost-effectiveness, deep integration with Dataverse and D365, natural language query capabilities, and embedded analytics options within existing business applications.
What is Aedista' approach to data warehousing?
Aedista designs modern data warehouses using a layered architecture with bronze (raw), silver (cleansed), and gold (business-ready) data tiers. The team builds ETL/ELT pipelines using Azure Data Factory, implements data lakes on Azure Data Lake Storage or Snowflake, and establishes data governance frameworks with master data management. The approach consolidates scattered data from ERPs, CRMs, and custom systems into a single reliable source of truth optimized for analytics and reporting.
How long does a data analytics implementation typically take?
A focused Power BI dashboard project with existing clean data typically takes 4 to 6 weeks. A data warehouse implementation with ETL pipelines and multiple source system integrations generally requires 3 to 6 months. A comprehensive data platform modernization including warehouse, pipelines, governance, and analytics layers can take 6 to 12 months with phased delivery. Aedista delivers iterative value at each phase so teams can start using insights early.
How does Aedista handle data quality issues?
Aedista addresses data quality through automated data profiling and cleansing during pipeline development, data validation rules built into ETL/ELT processes, master data management frameworks that establish golden records across systems, data governance policies with clear ownership and stewardship roles, and ongoing monitoring dashboards that flag anomalies and quality degradation. The team has 25+ years of experience working with enterprise data from systems like Dynamics 365, NetSuite, and custom applications.
Can Aedista build real-time dashboards and analytics?
Yes, Aedista builds real-time and near-real-time analytics solutions using Power BI streaming datasets, Azure Event Hubs for real-time data ingestion, Microsoft Fabric Real-Time Analytics, and Azure Stream Analytics for continuous data processing. Real-time dashboards are commonly deployed for operational monitoring, supply chain visibility, financial transaction tracking, and executive KPI dashboards that update automatically as source systems change.
