{ "item_title" : "Executive Data Quality Playbook", "item_author" : [" Sheik Isaacs "], "item_description" : "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 Executive Data Quality Playbook solves this problem at its source: the executive level. Unlike IT-focused data quality guides that address schema validation and field-level cleansing, this book operates entirely from the C-suite perspective. Every chapter is designed to answer the question that actually matters to leaders: Can I trust this data to make a decision that will define my organization's future? The book introduces the Decision-Grade Data Classification System--a four-tier framework that matches data quality requirements to decision stakes, from Operational decisions (85% confidence threshold) to Bet-the-Company decisions (99.5%+ confidence threshold). This framework becomes the organizational standard for knowing which data to trust, when to trust it, and what to do when that trust breaks down.Executives receive the 24-Hour Data Quality Emergency Protocol, Executive Data Quality Dashboard templates, RACI accountability matrices, stakeholder trust-rebuilding roadmaps, vendor assessment frameworks, and technology ROI calculators. Each tool is field-tested--developed through 23+ years of managing high-stakes data quality at scale in one of the world's most complex financial institutions.The book targets a gap that no existing publication fills: practical, executive-level data quality management that requires no technical background, delivers immediate results, and builds sustainable organizational capability. For any leader who has ever made a strategic decision and quietly wondered if the data was actually telling the truth, this book is the system they have been missing.What You Will Learn:How to assess, contain, and communicate any data quality crisis using a proven 24-Hour Emergency Protocol -- turning a potential career-defining disaster into a managed, recoverable situation.How to build an Executive Data Quality Dashboard that delivers early-warning signals before bad data corrupts a strategic decision -- giving you real-time visibility into the trustworthiness of your most critical information.How to classify data by decision-grade confidence requirements -- applying the right quality standard to the right decision, so quality-control effort lands where the stakes are highest instead of being spread thin across everything.How to protect the integrity of the KPIs your board, investors, and leadership team rely on -- so the metrics that tell your company's story can withstand hard scrutiny.How to future-proof your organization against emerging risks like AI-generated data and automation errors -- keeping your decisions trustworthy as your tools and business evolve.Who This Book is for: This book is for leaders who make decisions on data they can't personally verify and want to trust it with their eyes open -- no technical background required. It speaks directly to C-Suite Executives (CEOs, CFOs, COOs, Board and Audit Committee Members, Senior Managers and VPs, Finance, Risk, and Compliance Leaders and Data Governance and Quality Professionals.", "item_img_path" : "https://covers4.booksamillion.com/covers/bam/9/79/886/883/9798868831799_b.jpg", "price_data" : { "retail_price" : "39.99", "online_price" : "39.99", "our_price" : "39.99", "club_price" : "39.99", "savings_pct" : "0", "savings_amt" : "0.00", "club_savings_pct" : "0", "club_savings_amt" : "0.00", "discount_pct" : "10", "store_price" : "" } }

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