Traditional architecture’s processes and data management cause response times to be delayed, data processing throughput to be poor, and insight extraction to be limited. Modernizing a data architecture involves adapting or designing a scalable, agile, high-speed, and long-term data solution. Platingnum’s data modernization services assist companies in making a seamless data transfer from legacy architecture to a new platform, as well as enhancing, transforming, and cataloguing their data.
In the data architecture phase, we will define the data along with the schemas, integration, transformations, storage and workflow required to enable the analytical requirements of the information architecture.