Remove Analytics Remove Experimentation Remove Metrics Remove Optimization
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eCommerce Brands Use Data Analytics for Conversion Rate Optimization

Smart Data Collective

E-commerce businesses around the world are focusing more heavily on data analytics. billion on analytics last year. There are many ways that data analytics can help e-commerce companies succeed. One benefit is that they can help with conversion rate optimization. Some of the most important is conversion rates.

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Bringing an AI Product to Market

O'Reilly on Data

The first step in building an AI solution is identifying the problem you want to solve, which includes defining the metrics that will demonstrate whether you’ve succeeded. It sounds simplistic to state that AI product managers should develop and ship products that improve metrics the business cares about. Agreeing on metrics.

Marketing 362
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The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

To win in business you need to follow this process: Metrics > Hypothesis > Experiment > Act. 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. This should not be news to you. Online, offline or nonline.

Metrics 156
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Analytics On The Bleeding Edge: Transforming Data's Influence

Occam's Razor

Analytics teams are named for the silos and limitations within which they trap themselves. Finally, few analytics teams obsess about predictive analytics in a way that allows them to dictate future action. The above-observed realities were on my mind as I took on a new role to lead Global Strategic Analytics. Paid Media.

Analytics 131
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The Impact Matrix | A Digital Analytics Strategic Framework

Occam's Razor

The universe of digital analytics is massive and can seem as complex as the cosmic universe. Even simple questions like “ How effective is our analytics strategy? Soon, your digital analytics strategic framework that you hoped would provide a true north to the analytics strategy question looks like this ….

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

CIO Business Intelligence

Data scientists are analytical data experts who use data science to discover insights from massive amounts of structured and unstructured data to help shape or meet specific business needs and goals. What is a data scientist? Learn from data scientists about their responsibilities and find out how to launch a data science career. |

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What you need to know about product management for AI

O'Reilly on Data

Because it’s so different from traditional software development, where the risks are more or less well-known and predictable, AI rewards people and companies that are willing to take intelligent risks, and that have (or can develop) an experimental culture. If you are still figuring out your analytics strategy, you are fighting the last war.