Remove Data-driven Remove Measurement Remove Recreation/Entertainment
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See, Think, Do, Care Wining Combo: Content + Marketing + Measurement!

Occam's Razor

Remember, there was little data to know what worked – hence what might have worked in the past was repeated. We can entertain them, inform them, and provide utility (AND fulfill their commercial needs – hurray revenue!!!). We can talk about Content AND Marketing AND Measurement. So on, and so forth.

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10 Big Data Examples Showing The Great Value of Smart Analytics In Real Life At Restaurants, Bars, and Casinos

datapine

“You can have data without information, but you cannot have information without data.” – Daniel Keys Moran. When you think of big data, you usually think of applications related to banking, healthcare analytics , or manufacturing. However, the usage of data analytics isn’t limited to only these fields. Discover 10.

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

Corinium

Are you seeing currently any specific issues in the Insurance industry that should concern Chief Data & Analytics Officers? Lack of clear, unified, and scaled data engineering expertise to enable the power of AI at enterprise scale. The data will enable companies to provide more personalized services and product choices.

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Make Sure You Know The Difference Between Strategic, Analytical, Operational And Tactical Dashboards

datapine

Exclusive Bonus Content: Download Data Implementation Tips! It helps managers and employees to keep track of the company’s KPIs and utilizes business intelligence to help companies make data-driven decisions. Organizations can also further utilize the data to define metrics and set goals. Digital age needs digital data.

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What to expect from AI in the enterprise in 2025

CIO Business Intelligence

Large language models (LLMs) are very good at spotting patterns in data of all types, and then creating artefacts in response to user prompts that match these patterns. Focus on data assets Building on the previous point, a companys data assets as well as its employees will become increasingly valuable in 2025.

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Glossary of Digital Terminology for Career Relevance

Rocket-Powered Data Science

AGI (Artificial General Intelligence): AI (Artificial Intelligence): Application of Machine Learning algorithms to robotics and machines (including bots), focused on taking actions based on sensory inputs (data). Analytics: The products of Machine Learning and Data Science (such as predictive analytics, health analytics, cyber analytics).

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3 takeaways from WWE and the McLaren Formula 1 Team when optimizing digital performance

CIO Business Intelligence

One of the things that we need to measure and constantly be on the lookout for is how reliable is our connection from the TV studio to our corporate network, and especially to the road. This is a challenge not just seen in the world of sports entertainment. The adrenaline-fueled sport of Formula 1 is similarly high stakes.