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How Big Data Is Refining Brand Messages

Intel Data Center GPU codenamed Crescent Island architectural slide showcasing Xe3P AI optimized GPU IP, up to 480GB LPDDR5x memory capacity, and a 350W air-cooled PCIe form factor.

Intel’s Crescent Island GPU targets AI inference economics by prioritizing massive LPDDR5x memory capacity over costly HBM architectures within a practical 350W air-cooled design.

Big data is becoming even more important for businesses, in practically all areas of business development and management. By the end of 2017, 53 percent of companies were either using or intending to use big data for major decisions, with increased representation in telecom and financial services industries.

But data isn’t just about making more accurate financial projections or understanding how your customers are using your products; it’s also about understanding the best way to reach and communicate with your customer base.

The prevalence and prioritization of data is already starting to reshape brand messages, and that transformation is only going to get more pronounced from here.

High-Level Trends

Data is starting to redefine the most important concepts, priorities, and strategies for an overarching campaign:

Ground-Level Trends

Data is also affecting the specifics of each message being sent out to customers:

Are your messages currently informed by data, or are you relying on your instincts and creativity to craft them? The middle ground, combining human insights with detailed objective analyses, is the sweet spot for effective message creation and distribution. If you haven’t yet adopted at least some data gathering and analysis into your marketing and communications strategies, now’s the time to get involved ”or else your competitors might get a significant edge on you.

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