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10 Books that Data Analyst Should Read

FineReport

Then these books, I think you must read. The author is known as “the prophet of the big data era”, this book is the first of its kind in the study of big data systems. Although this book may have been somewhat outdated in the present, many of the ideas in it are still very useful. From Google. About thinking.

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Bringing an AI Product to Market

O'Reilly on Data

Many companies face a problem that’s even worse: no one knows which levers contribute to the metrics that impact business outcomes, or which metrics are important to the company (such as those reported to Wall Street by publicly-traded companies). Without clarity in metrics, it’s impossible to do meaningful experimentation.

Marketing 362
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CIOs press ahead for gen AI edge — despite misgivings

CIO Business Intelligence

in concert with Microsoft’s AI-optimized Azure platform. Additionally, Flint Hill Resources is deploying the LLM-based platform for commodity trading optimization, while the US Missile Defense Agency is employing it to improve safety during steel manufacturing, according to C3. John Spottiswood, COO of Jerry, a Palo Alto, Calif.-based

Risk 139
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Bring light to the black box

IBM Big Data Hub

It is well known that Artificial Intelligence (AI) has progressed, moving past the era of experimentation to become business critical for many organizations. Risk management: Manage risk and compliance to business standards, through automated facts and workflow management Identify, manage, monitor and report risks at scale.

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CIOs set their agendas to achieve IT’s ultimate balancing act

CIO Business Intelligence

But while the report found that growth was important, it was outranked by improving the customer experience and operational excellence. Hyatt’s experimental mindset and listen-first approach are heavily applied to IT’s pursuit of innovation, he says. That is a tall order for CIOs, who feel the pressure to do it all.

Strategy 136
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Web Analytics 2.0 Book: In Stores Now!!

Occam's Razor

I am absolutely thrilled that my book Web Analytics 2.0 The waterfall of positive feeling stems from the fact that this book was very hard to write. I only had one job, at Intuit, when I wrote my first web analytics book. The Pitch: I invite you to consider buying my second web analytics book. Request for help.

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The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. KPI: Property bookings.

Metrics 156