Defining a data analysis plan that supports the client's business objectives by identifying relevant data sources, defining key performance metrics and indicators (KPIs), and developing analytical models.
We create custom AI models to meet our clients' business needs, providing end-to-end solutions from data collection and preparation to model implementation and maintenance in production.
Assessment of the level of data management maturity of the client's company, based on reference models and market practices. This can help identify gaps and opportunities for improvements.
An overview of relevant technologies for the client, such as data storage and processing tools, analytics platforms, data visualization tools, cloud-based data management solutions, and data security solutions.
Developing a robust data architecture and data governance strategy to ensure effective and secure management of data, including defining policies, procedures, standards, and guidelines for the use of data.
Training and capacity building of teams to ensure that the company has the necessary expertise to execute the data strategy. This includes training in data analysis tools, data technologies, best practices in data management, and more.
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