Modern Data Hub & API Built on Cloud for a US Based Customer

The client recently acquired another company and was in the process of integrating the IT systems. Their existing on-premise data platforms had siloed data that could not support the growing list of business use cases in operations and analytics. Also, their existing data hubs were limited to a single line of business or data domain or use case. The core was outdated with increasing operational costs YoY. For the customer to live up to the demands of the new digital transformation economy and meet the business demand they decided to build a modern Data Hub and APIs on the cloud.

The SLK Data & Digital team of consultants did due diligence to understand the customer current state data platforms and recommended building a modern Data Hub and APIs on the Cloud. We partnered with the customer and built the intelligent data store on the cloud, designed the modern data hub with a connected architecture of many sources and target databases. The modern hub is designed to address multitenant serving multiple business units and handles all data domains and use cases. We also created APIs on top of the data hub factoring in the identified business use cases and data domains. Data domains & data consumption layer were built in alignment with industry standards for integration with upstream & downstream applications. This solution enabled the customer to adopt a new business model using data analytics & self-service business intelligence & visualization on the cloud. This also enabled to mitigate the risk of Legacy Core which was relegated for record keeping only and also was ready to scaleup further

Key Tenets of our Data Hub & API on Cloud Solution:

• Data as an Asset on the Cloud: Assetize Data and create a high-performance Data Store & Hub. Data Hub acts as an exchange for downstream and upstream applications
• Reduced dependency on legacy systems: Reduce the cycle time of legacy systems and dependency on them
• Data As An API, Utilize the Power of Parallel processing: Utilize the underlying high-performance Data Store for parallel processing and provide Data as an API across the organization
• Gain Insights, Foresights & Competitive Edge Faster: Data Availability at the fingertips to enable decision & data science systems to gain insights and foresight towards Competitive edge