At Ascadis, we help organizations unlock the full potential of their data through end-to-end cloud, analytics, and automation solutions.

Our capabilities span the entire data lifecycle—from secure migration and data engineering to advanced analytics, AI automation, and enterprise-grade business intelligence.

Whether you're modernizing your cloud platform, activating real-time insights, scaling machine learning, or elevating executive dashboards, Ascadis ensures your data becomes your most valuable strategic asset.

Our Core Offerings

Modern, automated, and secure data movement across platforms

Move from legacy systems to Azure: Migrate SQL Server, Oracle, SAP, Hadoop, or on-prem warehouses into Azure Data Lake, Synapse, Databricks Lakehouse, or Fabric.
Automate pipelines using ADF & Databricks: Use ADF for orchestration and Databricks (PySpark/SQL) for scalable transformations.
Zero-downtime cutovers: Implement blue–green deployments, delta loading, CDC frameworks, and schema evolution.
Multi-source consolidation: Merge APIs, databases, flat files, and SaaS sources into a unified Lakehouse.
Secure & governed migration: Use RBAC, managed identities, private endpoints, and Purview lineage for compliance and traceability.

Turn your raw data into business-ready, analytics-driven intelligence

Enable BI-ready datasets: Clean, transform, and prepare data using PySpark, Delta Lake, and Lakehouse modeling.
Activate insights in Power BI & Fabric: Create star schemas, data marts, DAX models, and real-time dashboards.
Build real-time analytics pipelines: Use Event Hub, Databricks Streaming Jobs, and Structured Streaming for operational insights.
Automated data refresh & optimization: Implement incremental refresh, partitioning, Z-ordering, and delta optimization.
Feature engineering for AI/ML: Generate analytics features for forecasting, churn models, segmentation, and anomaly detection.

Redefine efficiency with cloud-native, scalable, and intelligent data platforms

Modernize data platforms with Azure & Databricks: Implement ADLS Gen2, Delta Lake, Lakehouse, Fabric, and serverless compute.
Integrate diverse data sources: Ingest structured, semi-structured, and unstructured data using ADF, Autoloader, and APIs.
Transform data using PySpark notebooks: Cleanse, validate, enrich, and structure data for analytics and ML pipelines.
Load into analytics targets: Deliver optimized datasets into Synapse, Databricks SQL, Power BI datasets, and Fabric Lakehouse.
Implement DevOps & governance: Use Azure DevOps/GitHub Actions for CI/CD, and Purview for lineage, cataloging, and compliance.

Ensure accuracy, reliability, and trust across your data ecosystem

Automated DQ checks using PySpark & Lakehouse: Validate schema, nulls, duplicates, thresholds, referential integrity, and freshness.
Build rule-based & ML-driven data quality frameworks: Implement Delta Live Tables expectations, anomaly detection, and profiling.
Centralized governance using Azure Purview: Catalog assets, track lineage, and manage classifications with enterprise governance.
Monitor quality across pipelines: Integrate monitoring via ADF alerts, Databricks job metrics, and Logic Apps notifications.
Define enterprise DQ policies: Establish quality standards, SLAs, and automated remediation workflows.

Data Engineering Services

Architecture & Cloud Roadmapping

Get expert technical guidance to assess your current architecture, identify gaps, and design a scalable cloud roadmap.
We evaluate your data estate across Azure, on-prem, and hybrid systems, recommending best-fit services such as Azure Data Lake, Databricks Lakehouse, Synapse, ADF, and Event-Driven pipelines.
Our architects ensure strong governance, security, and future-ready modernization strategies.

Pipeline Engineering & Orchestration

Build high-performance ingestion and transformation pipelines using ADF, Databricks (PySpark), Azure Functions, Logic Apps, and Event Hub.
We engineer reliable, fault-tolerant workflows with dynamic parameterization, delta processing, and enterprise CI/CD integration.
Your pipelines become scalable, automated, and optimized for long-term growth.

Data Modeling & Semantic Layer Design

Transform raw data into analytics-ready models using Databricks Lakehouse, Delta Lake, Power BI Semantic Models, and Star/Snowflake schemas.
We design intuitive data structures and curated datasets, enabling self-service BI, faster queries, and consistent business logic across all reporting tools.

Custom ETL/ELT Solutions & Automation

Every business has unique data flows — we build custom ETL/ELT frameworks using PySpark, SQL, Azure Data Factory, Synapse, and serverless components.
From real-time streaming to batch processing, our automated pipelines handle complexity, metadata, error handling, lineage, and monitoring with precision.

Advanced Analytics & Operational Insights

Convert enterprise data into actionable insights using Power BI, Fabric, Databricks SQL, and automated KPI engines.
We highlight patterns, anomalies, forecast trends, and build analytics layers that guide operational optimization, financial planning, risk reduction, and executive decision-making.

Managed DataOps & Continuous Support

Scale your engineering operations with a dedicated team specializing in Azure, Databricks, DevOps, MLOps, security, and performance tuning.
We manage deployments, monitor production workloads, optimize pipelines, troubleshoot issues, and ensure continuous improvement across your entire data platform.

Data Analytics Services

Insight Discovery Engine

Reveal hidden trends, behaviors, and performance patterns within your data.

Deep-dive data exploration & behavior analysis
KPI extraction and automated trend mapping
Workflow-level intelligence to understand operational gaps
Interactive visual summaries for leadership teams

Data Behavior Modeling

Predict how your customers, processes, and systems will behave in the future.

Forecasting models (demand, revenue, churn, anomalies)
Machine learning pipelines using Databricks & PySpark
Adaptive models that auto-retrain as data evolves
Governance, versioning & ML lifecycle automation

Decision Intelligence Framework

Recommend actions with highest business impact.

Optimization engines for planning, pricing, and resource allocation
What-if simulation dashboards for strategic teams
Scenario modeling aligned to your business KPIs
AI-powered recommendations integrated directly into apps

Cognitive Data Extraction

Turn unstructured content into business-ready insights.

Analyze documents, emails, images, logs, and transcripts
Azure Cognitive Services + Databricks automation
Entity extraction, summarization, topic modeling
Real-time insights for customer support, audits & compliance

Enterprise AI Automation

Scale machine learning across your organization.

Production-grade ML deployment (AKS, ADF, Functions)
MLOps pipelines for retraining & monitoring
Drift detection, performance dashboards, alerting
AI feature store development for long-term scalability

Data Visualization Services

Analytics Experience Modernization

Transform outdated reports into rich, interactive analytics experiences.

Power BI, Fabric, Tableau, Looker modernization
Live dashboards with drill-downs and advanced storytelling
Data model restructuring and performance tuning
Workspace governance, RLS, and enterprise sharing strategy

Intelligent Dashboard Engineering

Design dashboards engineered for clarity, decision-making, and speed.

Business KPI mapping and visual storytelling
Databricks + ADF automated refresh pipelines
Real-time metrics for operations, finance, and leadership
UX-focused visual layouts tailored to each role

Automated Insights Delivery

Deliver insights instantly without manual analysis.

Automated triggers, alerts, & anomaly detection
Power BI dataflows and semantic models
Embedded analytics inside internal portals & SaaS apps
Decision-ready insights for every business team

Enterprise Reporting Factory

Build an end-to-end scalable reporting ecosystem.

Governed datasets for entire organization
Certified reports, version control, & audit trails
Migration from Excel-heavy reporting to a unified BI hub
Standardized templates for finance, sales, operations

Visual Data Storycrafting

Convert complex data into visually compelling business stories.

Executive scorecards & strategic KPI layers
Narrative-based dashboards for presentations
Visual journey mapping for customers & products
Clean, minimalistic, CEO-friendly design standards

Our Core Offerings

Modern, automated, and secure data movement across platforms

Turn your raw data into business-ready, analytics-driven intelligence

Enable BI-ready datasets: Clean, transform, and prepare data using PySpark, Delta Lake, and Lakehouse modeling.

Activate insights in Power BI & Fabric: Create star schemas, data marts, DAX models, and real-time dashboards.

Build real-time analytics pipelines: Use Event Hub, Databricks Streaming Jobs, and Structured Streaming for operational insights.

Automated data refresh & optimization: Implement incremental refresh, partitioning, Z-ordering, and delta optimization.

Feature engineering for AI/ML: Generate analytics features for forecasting, churn models, segmentation, and anomaly detection.

Redefine efficiency with cloud-native, scalable, and intelligent data platforms

Ensure accuracy, reliability, and trust across your data ecosystem

Data Engineering Services

Data Analytics Services

Data Visualization Services

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