Combining Empathy and Data Mining for Better UX
Empathy has rightfully become predicate to good user experience (UX) design. But the means designers use to achieve empathy — such as Personas — fall short of their intended purpose.
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Unless you’ve been living under a covfefe, you’ve probably heard that we’re living in the Age of Artificial Intelligence. Most creatives and marketers file AI in the hype bucket with good reason. It’s hard to imagine artificial intelligence equating to creative intelligence. But AI is coming for us all, and those that are unprepared to seize new opportunities will become irrelevant.
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Marketing momentum builds over time and brings many benefits —but it also leads to bloated process and wasted budget built on old assumptions. Basic data science techniques offer a solution.
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Successful SME marketers thoroughly understand what it takes to compete: a strong website, content strategy, CRM, and multichannel engagement plan. But as all the tactics stack up, so does the data. It’s harder and harder to know what works and which steps in the customer journey are most important.
This is not a new problem, but it is one that large enterprises have largely solved by investing in big data strategy and analytics platforms.
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Whether you’re a regional bank, a community bank, or a credit union, managing your data infrastructure is a tough job. Margins are tight and running legacy systems requires constant vigilance. Finding the time and resources to exploit advancements in big data technology isn’t easy. And there’s so much noise around big data it’s hard to tell where the marketing jargon ends and reality begins, so getting organizational buy-in can be a big challenge.
But community banks don’t have a choice. It’s a matter of survival. National banks are winning the next generation of customers and big data is a big advantage.
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When it comes to web analytics, craft breweries are in the same position as many small- to medium-size companies. Websites are built primarily to tell stories and engage the fan base. Gathering useful data for business decision-making is typically an afterthought, especially since brewers can't sell their product online. Free tools like Google Analytics tell you a lot about general site traffic, but getting real decision-making insight is another matter.
But the data is important, and could tell you a lot.
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There is general acceptance in the alcoholic beverage industry that linking marketing spend to consumer purchase is very difficult, if not impossible – especially for smaller producers.
We don’t agree.
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Health care organizations – hospitals, physician practices, and specialist clinics – are primarily concerned with keeping their patients healthy and happy. But they’re businesses too, and they operate in a highly competitive environment. To succeed at both, health care organizations should do everything they can with data and analytics to understand their patients and optimize the patient experience.
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