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The Analytics Operating System: Teams, Governance, and the Path to AI

by Fatima Soomro
Save 12% Save 12%
Current price ₹1,833.00
Original price ₹2,079.00
Original price ₹2,079.00
Original price ₹2,079.00
(-12%)
₹1,833.00
Current price ₹1,833.00

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Book cover type: Hardcover
  • ISBN13: 9782970202622
  • Binding: Hardcover
  • Subject: N/A
  • Publisher: Fatima Soomro
  • Publisher Imprint: Fatima Soomro
  • Publication Date:
  • Pages: 188
  • Original Price: GBP 15.99
  • Language: English
  • Edition: N/A
  • Item Weight: 422 grams
  • BISAC Subject(s): Industries / Computers & Information Technology

AI won't fix weak data foundations; your teams and processes will.

In The Analytics Operating System: Teams, Governance, and the Path to AI, Fatima Soomro reveals why analytics and AI initiatives often fail and how to make yours succeed. Drawing on more than a decade in corporate data environments, she shows how durable success depends on operating models, team alignment, and clear decision pathways, not just tools or hype.

Through the story of a fictional enterprise, you'll learn how to:

  • Build an analytics operating model that lasts
  • Align BI, data engineering, and business teams
  • Turn AI investment into stronger governance, modeling, and outcomes

Packed with practical frameworks and reflection prompts, this book is the blueprint for turning data and AI into real business value.

Start building systems that deliver long after the hype fades.

Soomro, Fatima: - Fatima Soomro is a data and analytics leader with over a decade of experience helping organisations turn analytics into an effective decision-making capability. Combining hands-on data and analytics engineering expertise with operational leadership, she brings a systems-level perspective to analytics, observing how it operates across teams, systems, and executive priorities rather than as a purely technical capability. This perspective enables her to anchor analytics work in outcomes and translate it into measurable business impact. She builds teams and operating disciplines that sustain durable, decision-relevant data practices.

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