Webinar Clip:
How Technology Can Improve Data Quality
Technology Considerations Driven by a Process-Driven Data Quality Methodology
Overview
How can technology address data quality problems? Technology should provide accelerators, benchmarking, data inference, trend analysis, and a host of other features to help you with data quality analysis. The clip is cut from the webinar titled, "Data Quality Improvement and Management." If you'd like to see the entire webinar, please register in the box at the right. You can also register for the remainder of the 12-part Apptio educational webinar series, "Understanding and Leveraging IT Financial Transparency to Improve Business Alignment."
About the Speaker
Todd Tucker, CPA, CISSP
Webinar Series Host | Director, Strategic Marketing, Apptio
- Role at Apptio is focused on delivering educational marketing programs to elevate the awareness and knowledge of professionals in our markets
- Former Senior Director of Marketing for NetIQ, a leading global provider of systems and security management software
- Former financial and IT auditor with Ernst & Young, serving clients such as Sprint, Koch Industries, Cessna Aircraft, Learjet, The Coleman Company, Fourth Financial Corporation (now Bank of America), Bank of Oklahoma, Rent-a-Center and PNC Bank
- Member of the AICPA
- BBA in Accounting from Wichita State University
keywords
data quality, financial data, general ledger, IT asset, CMDB, asset management, service desk tickets, service costing, project management, exception reporting, business services, visual model, fixed assets, accounts payable, sources of truth, mapping data quality needs, assumptive data, inference maps, benchmarks, accelerators, templates, slowly changing schema, data transformation, system of record, flexible allocation methods, breakage reports, trend analysis, drill-down analysis