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The top 15 big data and data analytics certifications

CIO Business Intelligence

Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.

Big Data 126
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Interview with: Sankar Narayanan, Chief Practice Officer at Fractal Analytics

Corinium

Will you please describe your role at Fractal Analytics? Are you seeing currently any specific issues in the Insurance industry that should concern Chief Data & Analytics Officers? Are you seeing currently any specific issues in the Insurance industry that should concern Chief Data & Analytics Officers?

Insurance 250
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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 362
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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. Experimentation is the key to finding the highest-yielding version of your website elements.

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Do You Need a DataOps Dojo?

DataKitchen

Centralizing analytics brings it under control but granting analysts free reign is necessary to foster innovation and stay competitive. Centralizing analytics helps the organization standardize enterprise-wide measurements and metrics. Central DataOps process measurement function with reports.

Metrics 243
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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

encouraging and rewarding) a culture of experimentation across the organization. Most of these rules focus on the data, since data is ultimately the fuel, the input, the objective evidence, and the source of informative signals that are fed into all data science, analytics, machine learning, and AI models. Test early and often.

Strategy 289
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Measuring Incrementality: Controlled Experiments to the Rescue!

Occam's Razor

This: You understand all the environmental variables currently in play, you carefully choose more than one group of "like type" subjects, you expose them to a different mix of media, measure differences in outcomes, prove / disprove your hypothesis (DO FACEBOOK NOW!!!), Measuring Incrementality: Controlled Experiments to the Rescue!