Management control is closer to clinical medicine than to bookkeeping.The Controller takes the anamnesis of the business, makes a diagnosis, projects a prognosis, and prescribes a therapy. Artificial intelligence is the new diagnostic instrument - not the physician, but what sharpens the physician's judgment.Beyond Business Intelligence is a practical, no-hype field guide for the U.S. mid-market Controller, CFO, and FP&A leader. Two years after generative AI entered the mainstream, the finance function has been rewritten - by agentic systems, predictive forecasting, and a new layer of AI governance. This book turns that shift into an actionable playbook.Inside, across eleven chapters, you will learn how to: - Tell apart Business Intelligence, AI, generative AI, and agents - and know when each one actually helps- Build trustworthy data foundations: quality, governance, and lineage- Apply AI to intelligent costing and AI-enhanced Activity-Based Costing- Move from the annual budget to a true rolling forecast- Design adaptive dashboards and use generative AI in reporting- Measure intangibles and integrate ESG into management control- Align AI adoption with the NIST AI Risk Management Framework and emerging U.S. state law- Follow a concrete 24-month adoption roadmap and build the competencies the future Controller will needIt includes an extended technical glossary, an annotated bibliography, a U.S. regulatory profile, and twenty ready-to-use prompts you can apply to your own controlling work tomorrow.Who it's for: management controllers, CFOs, financial controllers, FP&A and finance managers in mid-market companies - and anyone modernizing the finance function with AI.Written by two practitioners, for practitioners. Concrete examples, no buzzwords.
Prijshistorie
* Prijshistorie bevat geen data van Amazon, Amazon Marketplace.
Prijzen voor het laatst bijgewerkt op: