Data Engineering & Advanced Analytics
Why it matters: Agencies are managing massive data volumes and need real-time, actionable insights.
Organizations have always faced the challenge of drawing meaningful conclusions and lessons from operations data and applying that knowledge toward making better decisions in the future. As more data is now generated than ever before, business leaders now have an unprecedented opportunity to draw intelligent insights.
Key Offerings:
- Large-scale data warehouse solutions (PostgreSQL, Oracle, PostGIS)
- Data lakes, streaming analytics, and data in motion
- AI/ML-based predictive modeling
- Custom dashboards and visualization (Tableau, Power BI)
Value Proposition: Turn billions of records into mission-critical intelligence with scalable, secure analytics platforms.
- Data Integration: Assess, extract, transform and standardize disparate data sets from multiple source systems into a unified analytics repository.
- Data Virtualization: Use platforms like Denodo to virtualize data from disparate sources and enable governed self-service BI on integrated data.
- Data Quality: Apply rules of precedence and data quality indices across sources to improve confidence in analytics outputs.
- Visualization Dashboards: Deliver intuitive, interactive dashboards (Kibana, Tableau) that support exploratory analysis and trend discovery.
- Skilled Workforce: Experts across data types, pipelines, and analytics stacks to develop actionable insights rapidly.
- Intelligent Solutions: Tailored builds using COTS platforms (SAS Visual Analytics, Tableau) or our own cloud solutions (e.g., iAssetAware) with analytics features.
- Effectiveness: Exploratory analysis over structured and unstructured data to expose patterns, trends, and correlations.
- Reduced Cost: Optimal balance of capability and price, leveraging open-source analytics software where appropriate.
