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Small and large companies typically have significant amounts of data at their disposal. However, due to unoptimized processes and/or outdated architectures, However, due to unoptimized processes and/or outdated architectures, they do not have the capabilities to use data as a competitive edge. Therefore, a reengineering of data management is necessary, with the goal of achieving an accessible, scalable, and reliable Cloud Data Platform.
Moreover, it is essential to consider the integration with tools already in use within the company (ERP, Ticketing, etc.), so that the platform is seamlessly embedded into an established ecosystem, ensuring effective and standards-compliant usage.
With Technology Data Reply's expertise and commitment, customers benefit from a modern data platform based on Oracle Cloud. This advanced solution integrates key tools such as Data Integration, Autonomous Data Warehouse and Data Catalog, each contributing synergistically to the overall efficiency of the system. The architecture is designed to meet industry standards, improve control, and optimize the Data Monetization process.
Technology Data Reply designs and implements the Data Platform on Oracle Cloud, providing a complete and tailored path for each customer. Data is managed within Oracle Autonomous Data Warehouse, a fully automated data warehousing cloud solution managed by Oracle.
Data transformation processes, implemented through Data Integration and Data Catalog, are integrated with existing business workflows, ensuring that each piece of information is always up-to-date and consistent with the relevant business area.
Each role has access to the best tools to perform their tasks quickly and accurately:
Data Engineer
Data Analyst
Business Analyst
Data Scientist
The Data engineer can use the data integration service to develop new data processes workflows quickly and efficiently.
The Data Analysts utilize the Data Catalog to access business information required for creating new models and Data Lineage to trace data lineage and identify additional information useful for new use cases.
The Business Analyst can use the elements already described, in addition to an advanced analytics platform provided by Oracle Analytics Cloud, to analyze insights and derive business value.
The Data scientist can use Oracle Data Science to develop predictive models using both their own algorithms and those provided by the platform
By utilizing these innovative tools, each role contributes to extracting valuable insights to drive strategic decision-making.
All of these roles can be coordinated by data owners, who can use the aforementioned tools to communicate and manage the entire process and certify the final data.
The platform can also provide an integration layer by exposing standard APIs that allow information to be accessed through custom applications developed by third parties.