This week’s roundup looks at how AI is impacting customer experience, organizational lag in big data maturity, the power of descriptive statistics in data science, marketing investment growth, and the increased accessibility of data science for marketers.
featured on MarTech Advisor
Gary Miles, GM and CMO at Amdocs shares meaningful insights for CMOs to deliver a consistent brand experience along with pro-tips to ace the personalization game. According to Gary, design thinking and partnering with the CIO is a great way to approach the digital transformation challenge.
by Jessica Davis, Senior Editor, Enterprise Apps at InformationWeek
Big data is past the hype stage, but are organizations really past the challenges and getting the most value out of big data technologies? Not so much. This article examines the state of big data maturity and the challenges that remain.
by Pawel Rzeszucinski, Data Scientist at Codewise.com, featured on KDnuggets
No other mean of data description is more comprehensive than Descriptive Statistics and with the ever increasing volumes of data and the era of low latency decision making needs, its relevance will only continue to increase.
by Jerusha Harvey, VP of Education for the Data & Marketing Association (DMA)
In the most recent DMA Business Report, a bi-annual benchmark of marketing investment and results, U.S. marketers reported the highest levels of revenue growth since 2011. They also shared that marketing investment is growing at the highest rate in 5 years.
by Andrea Steffes-Tuttle, Director of Marketing at Lityx
A recent Forbes article quotes Krill Eremenko, the founder and CEO of SuperDataScience saying, “The most powerful data scientists are those who act as bridges between insights and people.” Today’s marketers expect to see insights and results data from the work they do, but there’s a barrier between analysis and understanding.
Did you see an interesting article in the last week? Share it with us! Send it to astuttle [at] lityx.com.