Data as a Service

Data as a Service is the cornerstone to enterprise level Self-Service Data Analytics and Self-Service Business Intelligence.  If an organization can establish an approach to enterprise data repository that compliments the organizations use of data, the organization will find the path to a successful service offering is attainable.  Broadstroke is ready and able to help your organization journey through data maturity through Data as a Service.


Data as a Service can be defined as the enablement of a data set availability in an organized and secure way to the entire organization for the purpose of Self-Service Analytics and Reporting.  An organization's implementation of Data as a Service may be accomplished through the use of Data Lakes and/or Delta Lakes, as well as Lake House or traditional Enterprise Data Warehouses and Data Marts.  To enable a user's true potential at Self-Service Analytics and Reporting, the data will need to be in a format that is specifically designed for their use case.  For users to be successful in leveraging these data sets, the data would need to be organized, accessible, and discoverable.


Broadstroke's experienced Data Architects can assist an organization in determining the best approach to start the journey towards using our Data as a Service offering.  We will build out a solution that fits the current needs of your organization while at the same time taking the future into account.  Not only will we be looking at the technologies needed to implement the right solution for your organization, but we will also work through Data Governance and Process Development for bringing in new data sets to the repository.  As an organization grows in its service offerings, the Data as a Service needs may change.  Our solutions are designed to grow with the organization.