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How Trend Analysis Works in Marketing

Netbasequid

First, here are a few stats to keep in mind for your next trend analysis: 40% of marketing and sales teams believe data science driven by artificial intelligence (AI) and machine learning is foundational to their business intelligence. Trend analysis is a vital part of your consumer and market intelligence.

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7 Tips for Text Analysis Success

Netbasequid

The value of text analysis to your business intelligence cannot be overstated. For instance, if your restaurant chain has recently placed a meatless option on the menu or is thinking about doing so, keyword identification within social media conversations will show you what works and what doesn’t. Manual rules. Topic modeling.

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Strategies You’ll Want to Steal: 23 Brand Growth Strategies

ATTEST

“We saw that prospects in Germany and France behaved in very different ways to our UK base and that different elements of our product resonated,” said Bloom & Wild’s Head of Business Intelligence, Mairead Masterson. “In Made.com Brand Growth Strategy: Discovery commerce.

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Strategies You’ll Want to Steal: 23 Brand Growth Strategies

ATTEST

“We saw that prospects in Germany and France behaved in very different ways to our UK base and that different elements of our product resonated,” said Bloom & Wild’s Head of Business Intelligence, Mairead Masterson. “In Made.com Brand Growth Strategy: Discovery commerce.

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Unlock The Power of Your Data With These 19 Big Data & Data Analytics Books

Datapine Blog

Awarded the “best specialist business book” at the 2022 Business Book Awards, this publication guides readers in discovering how companies are harnessing the power of XR in areas such as retail, restaurants, manufacturing, and overall customer experience. An excerpt from a rave review: “The Freakonomics of big data.”.

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5 Ways Your Brand Can (and Should) Use Big Data

ATTEST

IRI compiled over 100 internal and partner-provided data sets, spanning from point-of-sale and e-commerce information to digital measurement and gas price data, providing rich insight into aisle dynamics.”. The team followed every transaction from bars and restaurants, comparing categories with products over time and by revenue generated.

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