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Category: "Business Analysis"

Business Analysis

  1. How to Understand Almost Anything
    How to Understand Almost Anything
    A Practitioner's (updated) Guide to Domain Analysis
    Markus Voelter

    You want to analyse, understand and capture the subject matter of a domain, typically because you want to build a software system in that domain? You're looking for abstractions to describe and ultimately execute said subject matter? Then this book is for you: it's chock-full of experience and practices for tackling this challenge.

  2. Building SharePoint Online Intranets
    Building SharePoint Online Intranets
    Practical Advice for building Intranets with SharePoint Online
    Steve Knutson

    Are you about to embark on a SharePoint Intranet project? Learning how to plan your project, design your Intranet and engage your users. This book is full of thoughts, tips and advice to help you build a better Intranet from someone who has been there many times before.

  3. The AI Business Playbook
    The AI Business Playbook
    A Practical Framework for CEOs, Executives, and Business Leaders to Drive Growth in the AI Era
    Mohammad Kamrul Hassan

    Artificial Intelligence is transforming business—and the leaders who embrace it will shape the future.The AI Business Playbook is a practical guide for CEOs, executives, entrepreneurs, and business leaders who want to successfully adopt AI without technical complexity.Learn how to develop an AI strategy, identify high-impact opportunities, lead organizational transformation, manage risks, and create lasting competitive advantage.Filled with practical frameworks and actionable insights, this book helps you turn AI from a powerful technology into a measurable business asset.Lead with confidence. Drive innovation. Build the future with AI.

  4. Nasdanika SDK Runtime - Draw.io

    Diagrams people draw and programs read: how much structure a diagram should carry, and a Java API that reads, changes and renders Draw.io documents with Draw.io's own viewer.

  5. IT & AI Digest
    IT & AI Digest
    Briefings on Technology, Artificial Intelligence & the Digital World
    Mohammad Kamrul Hassan

    Stay informed about the technology that matters.IT & AI Digest brings together concise analysis and insights on artificial intelligence, software, cybersecurity, cloud computing, robotics, digital business, and emerging technologies.No endless scrolling. No unnecessary noise.Just important ideas, explained clearly.Read less. Understand more.

  6. State Of Blockchain 2025
    State Of Blockchain 2025
    From Speculation to Enterprise Execution
    STORM Partners

    Blockchain in 2025 is no longer about hype. It’s about execution, regulation, and real business value. This report explains where blockchain is delivering today and how leaders should act next.

  7. Performance Management Analyst

    A hands-on guide to the performance management analyst’s craft. You learn to design KPIs that matter, analyze variance and drivers, forecast and set targets, and build dashboards and stories that drive decisions. It comes with 50+ SQL and Python listings and real-company cases.

  8. The Restaurant Profit Playbook
    The Restaurant Profit Playbook
    A Practical Guide to Menu Pricing, Food Cost Control, Inventory, Labor, and Profit Improvement for Independent Restaurants
    Hisham Mohamed

    Stop guessing where your restaurant's money goes. Learn how to control food and labor costs, price your menu intelligently, reduce waste, and build a practical plan to improve profitability.

  9. The Restaurant Google Maps Playbook
    The Restaurant Google Maps Playbook
    A Practical Local Visibility System for Google Business Profile, Menus, Reviews, and Customer Actions
    Hisham Mohamed

    Help more local customers discover your restaurant on Google Maps. Learn practical ways to improve your business profile, menus, photos, reviews, and customer actions.

  10. INDUSTRIAL DESTABILISATION  IN KARNATAKA AFTER 1991
    INDUSTRIAL DESTABILISATION IN KARNATAKA AFTER 1991
    Public-Sector Distress, Strategic Resilience and the Bangalore Cluster
    Rahul Basu

    After 1991, Karnataka’s industrial landscape split in two. Some of the state’s best-known public-sector factories—ITI, HMT, Mysore Lamp Works, NGEF—slid into losses, soft-budget support and eventual closure or near-collapse. Others, notably HAL, stayed profitable. Private firms such as Kirloskar Electric, Vikrant Tyres and Trot Shoes followed still different paths: restructuring, takeover or quiet survival at reduced scale. This book explains why. Using DuPont ratios, Beneish M-scores, Altman Z-scores and courtroom and parliamentary records, it shows how liberalisation, lost protection and strategic mandate produced sharply divergent outcomes—and how those firm-level failures reshaped Bangalore’s older industrial neighbourhoods. A clear, data-driven account of industrial destabilisation in India’s most famous technology city.

  11. 数据背后的客户
    数据背后的客户
    跨境B2B经营与销售决策
    杨永飞

    名单不等于市场,订单也不等于客户价值。本书从跨境B2B的询盘、需求确认和资源分配出发,帮助读者区分事实、推断与尚待验证的经营判断。

  12. DECIDE WELL
    DECIDE WELL
    Making Better Decisions When Information Is Incomplete
    Nabal Kishore Pande

    A practical eight-stage method for making better decisions when information is incomplete. Learn to separate facts from assumptions, compare realistic options, test key uncertainties, record your reasoning and review the result.

  13. Data MODELING MASTERY
    Data MODELING MASTERY
    Sudhanshu Jaiswal

    Estimate honestly. Model fearlessly. This book turns T-shirt sizing into fast, team-friendly estimation and hands you a complete e-commerce warehouse build on BigQuery—star schemas, ETL pipelines, performance tuning and all. From decision frameworks to real-world trade-offs, you'll gain the confidence to plan realistically and architect data systems that scale.

  14. The Decision That Changed Nothing
    The Decision That Changed Nothing
    How to Separate Assumptions from Evidence and Make Better Decisions
    Nabal Kishore Pande

    A detailed plan does not always lead to a better decision. Learn how to separate facts from assumptions, identify the unknowns that matter, and test your beliefs before taking action. This short, practical book includes a decision-review worksheet you can use in your own life or work.

  15. AI-Powered Smart Decision Making
    AI-Powered Smart Decision Making
    A Practical Guide to Using AI, Data & Analytics for Smarter Business Decisions
    Mohammad Kamrul Hassan

    AI can analyze the data. But who decides what the data means—and what to do next?Modern organizations have more information than ever, yet making good decisions remains difficult.AI-Powered Smart Decision Making shows how to combine AI, data, analytics, and human judgment to turn information into insight and insight into action.Discover a practical framework for making better decisions across strategy, marketing, sales, operations, finance, risk, and beyond.AI is not the decision. AI improves the decision process. Table of ContentsIntroduction—The New Era of AI-Powered Decision MakingChapter 1 — The Foundations of Better Business DecisionsChapter 2 — From Intuition to Data-Driven Decision MakingChapter 3 — Understanding Data for Better DecisionsChapter 4 — Business Analytics: Turning Data into InsightChapter 5 — How AI Changes Business Decision MakingChapter 6 — Building an AI-Powered Decision FrameworkChapter 7 — Asking the Right Questions: AI, Data & Decision ProblemsChapter 8 — Predictive Decision MakingChapter 9 — Prescriptive Analytics and Decision OptimizationChapter 10 — AI for Strategic Business DecisionsChapter 11 — AI for Marketing and Customer DecisionsChapter 12 — AI for Sales, Operations and Supply ChainChapter 13 — AI for Financial and Risk DecisionsChapter 14 — Human + AI: The New Decision-Making PartnershipChapter 15 — Bias, Uncertainty and the Limits of AI DecisionsChapter 16 — Trustworthy, Responsible and Explainable AI DecisionsChapter 17 — Measuring Decision Quality and Business ImpactChapter 18 — Building an AI-Powered Decision CultureChapter 19 — Designing an AI-Powered Decision SystemChapter 20 — The Future of Smart Decision MakingConclusion — From Data to Better DecisionsDisclaimer