Empowering Data-Driven Decision Making in Information Technology Services
Enhance decision-making processes in IT services by embracing data-driven strategies. Explore the framework, concepts, and impacts of data-driven decision making presented at the University of Connecticut IT All Staff Conference. Dive into the layers, inputs, outcomes, and challenges of leveraging data effectively for informed choices.
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Presentation Transcript
University of Connecticut Information Technology Services Framework to Promote Data Driven Decision Making IT All Staff Conference 10/31/2019 M. Mundrane Community Integrity Contribution Attitude
Data Driven Decision Making Information Technology Services Data Big Data Cloud Big data in the cloud You get the idea D3M 1 Community Integrity Contribution Attitude
Data Driven Decision Making Information Technology Services The process of making organizational decisions based on the analysis of actual information or data rather than intuition or observation. Does anybody think this is not a good idea? D3M 2 Community Integrity Contribution Attitude
Concept Information Technology Services Decision Data What could possibly be easier? D3M 3 Community Integrity Contribution Attitude
Reality Information Technology Services x x x x x Decision x x x Business x x x x x Process x x x x x x x x Transaction x x x x x x x x Systems Broker x x x x x x x x Reporting x x x x x x x x Reports x x x Reporting x x x x x Interpret x x x D3M 4 Community Integrity Contribution Attitude
Impact of Layers Information Technology Services Decision Each layer has an Impact on the layer beneath it in the stack. Process Transaction Broker Issues compound by impacting all subsequent layers. Reporting Reports Interpret D3M 5 Community Integrity Contribution Attitude
Inputs Information Technology Services Decision Process Transaction Inputs drive all results. Broker Reporting Reports Inputs come at the top of the stack. Interpret D3M 6 Community Integrity Contribution Attitude
Outcomes Information Technology Services Decision Results should be outcome based. Process Transaction Outcomes are assessed at bottom of the stack. Broker Reporting Reports Interpret D3M 7 Community Integrity Contribution Attitude
Data Stack Issues Information Technology Services Fidelity issues with each layer. Problems compound. Large separation between inputs and outcomes. No awareness of the connection. Inputs are often arbitrary. Outcomes are often happenstance. Stacks are domain specific. D3M 8 Community Integrity Contribution Attitude
Data Governance Information Technology Services Decision x x x x x Process x x x Governance x x x x x Transaction x x x Broker Reporting Reports Interpret D3M 9 Community Integrity Contribution Attitude
Introduce Outcome Compromises Information Technology Services x x x x x Drive compromises back through the stack from outcomes to inputs. Decision x x x x x x x x Process x x x x x x x x Transaction x x x x x x x x Broker x x x x x x x x Reporting x x x Extract immediate value from each step. x x x x x Reports x x x x x x x x Interpret x x x D3M 10 Community Integrity Contribution Attitude
Apply Input Corrections Information Technology Services Drive corrections back through the stack from inputs to outcomes. Decision Process Transaction Broker Improve stability with each step. Reporting Reports Interpret D3M 11 Community Integrity Contribution Attitude
Domain Approach Information Technology Services Select a domain. Identify elements. Define specific outcomes. Drive compromises from outcomes to inputs. Vet compromises with domain authority. Drive corrections from inputs to outcomes. Repeat D3M 12 Community Integrity Contribution Attitude
Thank You Information Technology Services Questions? D3M 13 Community Integrity Contribution Attitude
