We specialize in understanding organizational requirements and performing detailed data discovery to identify existing and additional data needed to support our clients' strategy. We design the processes to pull in on-premises and cloud data to meet descriptive or predictive analytical needs as well as building a strong foundation for Generative AI. Our team develops and deploys data integration services to bring this data into data stores using Azure Data Factory, Fabric Data Factory or Fabric Data Engineering as well as other third-party tools.
Data platforms need to be designed to load both structured and unstructured data in a timely and cost-effective manner into diverse platforms such as Azure SQL, Fabric OneLake, Azure Databricks and/or Snowflake. A review of business requirements, current data and analytics technology footprint(s) and existing organizational skills can inform data platform decisions as appropriate. The objective is both efficient ingestion into data storage as well as fast access based on different types of users – executive, casual, business analyst, data engineer and data scientists.
We help organizations gain insights into data through powerful analytics and visualizations exposing information needed to act quickly. Using Microsoft Power Automate and Power BI flows we establish triggers and thresholds to surface and improve how information is shared and acted upon within the organization. For those organizations looking to do more advanced predictive analytics we can help you define a roadmap and build solutions utilizing Azure Databricks, Azure Machine Learning, and other Azure AI services.