Data Analytics,
insights & AI
Analyze existing workloads, generate schema models, and perform extraction, transformation, and load (ETL) operations to migrate data to cloud-based data warehouses and enable cloud-based analytics solutions. Plan and deliver customized Microsoft analytics solutions using Azure Synapse Analytics, Azure Data Lake, Azure Data Factory, and Azure Databricks. Facilitate customer adoption of AI and implement Azure solutions for AI-powered applications and machine learning lifecycle management.
Business Intelligence (BI)
Also known as traditional analytics, this type of solution aims to support organizations in understanding their data and making decisions from a descriptive and diagnostic perspective across all their processes. It seeks to answer the following questions: What has happened? Why did it happen?
Business Analytics (BA)
Also known as advanced analytics, this type of solution aims to support organizations in understanding their data and making decisions from a predictive and prescriptive perspective across all their processes. It seeks to answer the following questions: What will happen? What should be done to make it happen?
Machine Learning (ML)
Solutions in the field of Artificial Intelligence that aim to use organizational data and learn automatically each time their models are processed. These solutions intend to automate your company’s processes by delegating computing and processing responsibilities to machines, allowing them to make decisions or trigger other processes based on the results.
Artificial Intelligence
Solutions that aim to utilize all existing data science and analytics techniques to implement products and tools, enabling organizations to automate their processes. These solutions leverage data to drive actions in transactions or operations with minimal human involvement.
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