Our June webinar from DATAVERSITY’S Data Insights & Analytics webinar series featured Malcolm Chisholm, First San Francisco Partners’ Chief Innovation Officer, along with our Chief Delivery Officer John Ladley as moderator. This month’s topic: Data-Centric Development and why organizations that are truly data-driven are shifting their focus from process-centric development to a data-centric approach. At the beginning of the webinar,…
This is the second article in a two-part series on data-centric projects and our Data-Centric Development Life Cycle (DCLC) methodology. (Read part one.) DCLC is an iterative methodology for data-centric projects that brings data problems and opportunities to the forefront before development begins — rather than during testing or after production implementation.
This is the first article in a two-part series on data-centric projects and our Data-Centric Development Life Cycle (DCLC) methodology. DCLC brings a new approach to address the unique needs of data-centric projects — e.g., Data Lake, Big Data, Business Intelligence (BI)/Analytics, et al.
In previous CIO.com articles, we talked about three of the five capabilities needed to turn data into insight. The fourth key capability is to have “data-centric processes.” What we mean by this is twofold: There are processes embedded into the organization that are focused on data and data management and optimization. There is a recognition that data is an input and a valuable output of other processes in the organization, and these inputs and outputs are understood and retained to extend data understanding in the organization.