Our client, founded in 1926, is an American-based global software, services, and hardware solution provider that enables businesses to better interact and transact with their customers. The client provides solutions such as self-service kiosks, point-of-sale terminals, automated teller machines, check processing systems, and barcode scanners for a variety of industries including financial services, retail, hospitality, travel, telecommunications, and technology.
Internal changes to the existing business model required our client to look at new and different approaches to managing data and analytics in an accurate and timely manner. The client participated in a third-party study that also revealed that the company as whole was trailing its industry competitors in the areas of data and analytics.
ThreeBridge’s commitment to our client was to provide them with a clear understanding of their current capabilities and maturity, along with a detailed data strategy and future-state architectural model that aligned with their new business model and key strategic objectives. A comprehensive road-map with detailed implementation steps was created to transform our client from its current maturity level to a more data-driven organization. The solution consisted of the following:
– Interviews with executives and management to assess maturity and to discover opportunities around analytics
– ThreeBridge Architect assessments of the current data ecosystem, including their Enterprise Data Warehouse
– The design of a new organization to own data, and the hiring of a Chief Data Officer
– The institution of an Analytics Center of Excellence (ACE) to bridge the business segments and IT
– Development of a new Data Management architecture that includes Customer and Product MDM hubs and an Enterprise Data Lake
– Founding the Data Governance Council, along with its operating models
– Conducting an ROI study to predict the value of our recommendations
ThreeBridge identified over $30M of annual spend on repetitive data preparation by the client’s data workers due to a poorly designed architecture. Our ROI study justified significant investment into the proposed future-state, resulting in the creation of a new Enterprise Data Lake (EDL), Customer and Product Master Data Management (MDM) solutions, and a thriving Analytics Center of Excellence (ACE) and Data Governance organization.
November 20, 2019
Project Briefs, Smart Data