Executive Data Quality Playbook
Building Trust in Your KPIs, Dashboards and Strategic Insights
$62.07
- Paperback
260 pages
- Release Date
30 September 2026
Summary
IBM research reveals that poor data quality costs the U.S. economy \(3.1 trillion annually. Yet for most executives, this is an invisible problem—data looks reasonable, dashboards are polished, and trends appear logical. Until a quarterly projection is built on corrupted revenue data, a \)50 million acquisition is approved on overstated retention numbers, or a client relationship collapses because portfolio performance figures were systematically wrong for three months.
The Execut…
Book Details
| ISBN-13: | 9798868831799 |
|---|---|
| Author: | Sheik Isaacs |
| Publisher: | APress |
| Imprint: | APress |
| Format: | Paperback |
| Number of Pages: | 260 |
| Release Date: | 30 September 2026 |
| Dimensions: | 155mm x 235mm |
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Sheik Isaacs
Dr. Sheik M. Isaacs is an enterprise data quality and AI governance executive with 23+ years of leadership in regulated financial services. His data quality experience spans three distinct enterprise roles at a global financial institution.
As Director of Data Governance & AI Transformation, he led the design and deployment of data quality controls across the enterprise—embedding governance standards into high-impact business processes and mitigating data risk at scale. As a Data Tracing Quality Manager, he directed end-to-end data quality operations including data profiling, source comparison, and quality assessment across critical management and regulatory reports. And as a Data Analytics Manager in Internal Audit, he led the Business Intelligence and Analytics team to build enterprise risk-monitoring dashboards, producing data quality reporting delivered directly to board audit committees and senior leadership.
Complementing his corporate leadership with graduate-level teaching and curriculum design, Dr. Isaacs brings his deep practitioner expertise to graduate classrooms—designing and teaching courses in AI Ethics & Privacy, Data Analytics, Data Governance, and AI-Optimized Business Operations. An expert in agentic AI architectures and advanced prompt engineering, he actively deploys frontier AI platforms to drive measurable productivity gains across complex governance workflows.
He holds a Doctor of Business Administration from Walden University, five CIMP certifications spanning Data Quality, Data Governance, Data Modeling, Metadata Management, and Master Data Management, a Lean Six Sigma Black Belt, and a Certified Scrum Master (CSM) and Certified Product Owner (CPO) designation.
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