Every marketer understands that maintaining product and service quality is paramount because it reassures customers that features and performance will remain consistent, both across users and over time. Maintaining high levels of quality is challenging but necessary.
Marketers are constantly being exhorted to use data and analytics to identify exactly what their audiences like, what they buy, what their motivations are and what they might spend money on in the future.
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You Have Questions. Does Your Data Have the Answers?
We, as an industry, need to retire our obsession with “real-time,” “near real-time,” “speed-of-thought” and every other time-specific type of analytics.
The demand for accurate, real-time data analysis spawned a feeding frenzy of analytics product design and shaped the entire market. Yet the evolution of analytics technology and the acceptance of “good-enough” analytics as being more than good enough turned
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Why Real-Time Analytics Is No Longer a ‘Thing’
IBM today added new cognitive capabilities to IBM Watson Marketing Insights cloud platform to improve marketer’s insights into audience behavior.
The new audience insights uncover key predictors in customer behaviors based on data gathered from customer interactions with the brand across business channels.
Lattice Engines updated its Predictive Insights Platform to give B2B marketers and sales reps deeper insights beyond traditional demographics on customers and prospects.
The update improves data access and targeting and builds off the platform’s existing artificial intelligence capabilities.
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Lattice Partners with Dun & Bradstreet to Improve Customer Insights