An enterprise data platform is the central processing hub for an organization’s data ecosystem, Crestt's comprehensive services cover the entire data platform landscape, ensuring expert guidance and unwavering confidence throughout your data journey.

• Data warehouses - creating enterprise-class solutions based on various technologies, both in the cloud and on-premises.
• Data Integration - bringing together data from multiple sources across an organization to provide a data analysis and business processes.
• Data Ecosystems - we are leaders in a combination of enterprise infrastructure and applications that enables.

We empower businesses to make data-driven decisions, optimize operations,

and gain competitive advantages. Our tailored services support all stages of analytics integration, from initial data collection to advanced predictive modeling and real-time insights.

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Design and implement the ML/AI process: from conceptualizing algorithms to developing machine learning models capable of analyzing data, making predictions, and automating tasks. Usually, this involves:

• Understanding business problems AI can address.
• Defining technical and functional requirements.
• Gathering and preparing relevant data.
• Selecting and training machine learning models.
• Building and testing prototypes.
• Deploying AI systems in business environments.
• Continuously monitoring and adjusting AI performance.

Our experts ensure a seamless cloud migration, maximizing return on investment through a structured transformation model.

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We provide:

• Advisory: Support for decision-making, optimal selection of cloud platforms (Azure, Google, AWS), and tools (Snowflake, ADF). We also develop a detailed roadmap for your migration.
• Design: Define the cloud service model, deployment model, architecture, and migration strategy. We also establish cloud governance and optimize the solution.
• Implementation: Assistance with deploying cloud solutions such as Snowflake, Azure Data Factory, and Databricks.