Data Analytics,
insights & AI

Analyze existing workloads, generate schema models and perform extract, transform and load (ETL) operations to migrate data to cloud-based data warehouses and enable cloud-based analytics solutions. Planning and delivery of custom Microsoft analytics solutions using Azure Synapse Analytics, Azure Data Lake, Azure Data Factory and Azure Databricks, Enabling customer adoption of AI and implementing Azure solutions for AI-enabled applications and machine learning lifecycles.

Business Intelligence (BI)

Also called traditional analytics, this type of solution seeks to support organizations in understanding their data and in their decision making from a descriptive and diagnostic point of view in all their processes. It seeks to answer the following questions: What happened, why did it happen?

Business Analytics (BA)

Also called advanced analytics, this type of solution seeks to support organizations in understanding their data and making predictive and prescriptive decisions in all their processes. It seeks to answer the following questions: What will happen? What to do to make it happen?

Machine Learning (ML)

Solutions belonging to the branch of Artificial Intelligence that seeks to use the organization's data and learn automatically every time its models are processed. It aims to automate the processes of your company, delegating the responsibility of computation and processing to machines to make a decision or trigger another process from the result of this one.

Master Data Management

Solutions that seek to integrate and formalize with quality the most used master data in a transversal way in your organization. As it can be the information of your customers, suppliers, materials and employees among others.

Data Quality Management

Solutions that seek to diagnose and correct your company's data based on the following quality criteria: Completeness, Conformity, Consistency, Accuracy, Uniqueness, Integrity, Validity and Timeliness, among others.

Artificial Intelligence

Solutions that aim to make use of all existing techniques of data science and analytics in general for the implementation of products and tools that allow organizations to automate their processes starting from the use of data to the action in transactions or operations where there is minimal human involvement.

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