Remove Advertising Remove Experimentation Remove Optimization Remove Statistics
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Bringing an AI Product to Market

O'Reilly on Data

Without clarity in metrics, it’s impossible to do meaningful experimentation. AI PMs must ensure that experimentation occurs during three phases of the product lifecycle: Phase 1: Concept During the concept phase, it’s important to determine if it’s even possible for an AI product “ intervention ” to move an upstream business metric.

Marketing 363
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What is a data scientist? A key data analytics role and a lucrative career

CIO Business Intelligence

As such, a data scientist must have enough business domain expertise to translate company or departmental goals into data-based deliverables such as prediction engines, pattern detection analysis, optimization algorithms, and the like. Learn from data scientists about their responsibilities and find out how to launch a data science career. |

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Robust Experimentation and Testing | Reasons for Failure!

Occam's Razor

Since you're reading a blog on advanced analytics, I'm going to assume that you have been exposed to the magical and amazing awesomeness of experimentation and testing. And yet, chances are you really don’t know anyone directly who uses experimentation as a part of their regular business practice. Wah wah wah waaah.

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Analytics On The Bleeding Edge: Transforming Data's Influence

Occam's Razor

Does advertising really have a long-term business impact ? This is very hard to do, we now have a proven seven-step experimentation process, with one of the coolest algorithms to pick matched-markets (normally the kiss of death of any large-scale geo experiment). You have the start of a fabulous in-flight optimization engine.

Analytics 131
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Measuring Incrementality: Controlled Experiments to the Rescue!

Occam's Razor

We have to do Search Engine Optimization. We have to do location-based advertising to squarefour people. We can't forget Mobile advertising. Smart Marketers work hard to ensure that their digital marketing and advertising efforts are focused on the most impactful portfolio of channels. We have to do Email Marketing.

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To Balance or Not to Balance?

The Unofficial Google Data Science Blog

In an ideal world, experimentation through randomization of the treatment assignment allows the identification and consistent estimation of causal effects. Your company has recently launched a new pickup truck, along with the corresponding online advertisement campaign. For example, imagine that you are working for a car manufacturer.

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The Impact Matrix | A Digital Analytics Strategic Framework

Occam's Razor

The ability to optimize landing pages. Ignore the metrics produced as an experimental exercise nine months ago. You can see the company’s marketing strategy spans television and other offline advertising, including retail. So, how do we ensure that each has an optimal analytical approach?