This week, we highlight how the Chief Data Officer (CDO) role is evolving and why data analysts should use stories over statistics. We examine the role of time and data in organizations and how artificial intelligence (AI) has transformed brands’ ability to engage their customers. Lastly, we learn how to activate fundraising supporters through the use of data-driven peer-to-peer personas and predictive analytics.
How the Chief Data Officer Role is Evolving
by Lisa Morgan, contributing writer for InformationWeek.com
The role of the Chief Data Officer (CDO) has evolved over the years due to competitive pressures. Four distinct, successive levels of a CDO have emerged since the beginning of the millennium. As one progresses through these levels, they’re moving towards a more strategic, entrepreneurial product management role. Learn what the levels are and how this position has transformed.
Why Data Analysts Should Choose Stories Over Statistics
Interview with Brent Dykes at Crunch Conference on KDNuggets.com
Data storytelling is one of the most important skills in today’s data economy. Data storytelling can be used to transform your findings into something meaningful and valuable. Brent Dykes has more than 15 years of enterprise analytics experience and shares his insights about data storytelling in this interview.
Rethink Time and Data in Your Organization
by Pierre DuBois, contributing writer for InformationWeek.com
Machine learning tools that are now available make it easier to predict time. More specifically, whether or not occurrences in a time series sample will continue a decision influencing trend. Protocols like Facebook Prophet and Google’s Tensorflow help make these possible. Here’s how they help and why it’s important.
How AI Has Changed the Engagement Game for Brands
by Jean Belanger, contributing writer for MarTechAdvisor.com
AI gives companies the ability to understand their customers on a much more profound basis, thus allowing them to provide a better customer experience through the use of data. Companies can use this understanding and tailor their approach and communication in a much more systematic way. Better timing, better messaging, more relevant offerings, and so on.
Reaching Peer-to-Peer Supporters Through Data-Driven Personas
by Shana Masterson, contributing writer for NonProfitPro.com
Using predictive analytics in fundraising helps organizations make better-informed decisions on how much time, budget, and effort to commit to each individual. This, coupled with understanding nine distinct peer-to-peer fundraising personas, will allow your efforts to be more efficient, focused, and productive. Dive into three of the nine personas here.
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