Data Managementin theDigital Age.pptVIP

Data Managementin the Digital Age NDIA Systems Engineering Conference San Diego, California – October 2003 Cynthia C. Hauer Millennium Data Management, Incorporated Huntsville, Alabama AGENDA Looking back Framing the issues Elements of the solution Cause and effect Panacea versus process The way forward DM Definition Looking back DM was mandated in the 1960’s by Congress and the DoD Original intent Eliminate redundancy of data production and storage Centralize systems use Acquire only specific data for deliberate, planned, and specified use The problem is more pressing More data than ever Less money than before Business model revolution Best practices rule Transaction and decision time is compressed Network centric strategies Changing Environment Data Management “Solution”:Three Primary Areas - Principles, Practices, and Training Data Management “Solution:” continued Three Primary Areas - Principles, Practices, and Training Data Management “Solution,” continued Three Primary Areas - Principles, Practices, and Training Data Management “Solution,” continued Three Primary Areas - Principles, Practices, and Training Data Management “Solution,” continued Three Primary Areas - Principles, Practices, and Training Structuring outcomes Addressing challenges Identifying disconnects Creating solutions Establishing relationships Crafting an accepted and value-added role Building credibility and acceptance The way forward Process first! then automation Sequencing the “push/pull” correctly Creating intentional, understood outcomes Strategic thinking Enterprise focus Challenges for the DM Practice Consistency Expectations and practice Communication Internal and external Training Practitioners and other disciplines … Summary DM goals, need, and requirements are the same as they were in 1960 Urgency to transition DM to the digital environment is increased Recognized pathway and importance for resolution EIA-Standard-859 is the beginning * * Challenges, Question