
From data to decisions: making information work harder
A practical perspective on bringing data, people and business priorities into one decision system.
Read morePerspectives on the opportunities and questions where business and technology meet.
Small, specific fixes created large, measured results.
Bombay Shaving Co
A new store platform lifted Bombay Shaving Co’s sales rate by 150%.

A practical perspective on bringing data, people and business priorities into one decision system.
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How organizations can frame AI around a meaningful business problem and a responsible path to scale.
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A systems view of automation can reduce friction for customers and the teams who support them.
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What separates a SaaS product people rely on from one they tolerate, and how to design for it from the start.
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Practical choices about architecture, cost and reliability, made before scale makes them expensive to change.
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How teams can bring AI into routine work with clear ownership, human review and measurable results.
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Agreed definitions and clear ownership matter more than the next chart. Here is where to start.
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Packaging and pricing shape what customers value and how the product grows. Treat them as design decisions.
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Routine cases are the easy part. Designing for the exceptions is where automation earns trust.
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You cannot improve systems you cannot see. Good monitoring turns incidents into learning.
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A good measure answers a question someone is already asking. Start there and keep the set small.
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The best first project is a clear, bounded task where better speed or consistency is easy to recognise.
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Automation works best when it handles the routine and hands the unusual to a person with the right context.
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Small, frequent releases keep a product close to what people need and make each change easier to judge.
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Cloud costs follow design decisions. Making them visible early helps a platform grow in a predictable way.
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When 32% of clinic calls go unanswered, the fix is often a better first response, not more staff.
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A plumber’s hands are busy when the phone rings. One example shows calls booked rising from 50% to 80% after an AI agent started answering.
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Around 33% of Starbucks US orders come through its app. The pattern is worth understanding even for a single café.
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In one case, 62% of bookings came through a branded app. Here is why members prefer it.
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80% of people pick businesses that reply to every review. Booking and review replies work best together.
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The 2015 exit from Canada cost $5.4B. The lesson is about checking the systems behind the shelves before opening the doors.
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The 2022 holiday breakdown cost $1.2B. Resilience means planning for the day everything goes wrong at once.
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In 2012 a single software release cost $440M in one morning. Releases need the same care as the money they touch.
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A $422M pricing-model loss in 2021 shows why models need independent challenge, especially when they spend real money.
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In 2018 orders that could not ship cost Revlon $64M. A big system change needs a way back.
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In 2018 Hertz paid $32M for a site it discarded. Judging a digital build early is cheaper than judging it at the end.
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