Customer Data Management, Donation Subscriptions, Automation in CRM, and Machine Learning Must-Reads

Andrea Steffes-Tuttle Weekly Roundup

This week, we’ve gathered articles that dive into the concept of Customer Data Management. We also examine the differences between the Netflix subscription and donation subscription models. We consider ways in which automation can bring efficiency to CRM and finally, we share a list of ten free must-read books for machine learning and data science.   What is Customer Data …

Automation Fatigue, Operationalizing Machine Learning, Big Data Visualization Guidance, and More

Andrea Steffes-Tuttle Weekly Roundup

This week, we’ve gathered articles that provide practical advice on topics like how to protect your database from marketing automation fatigue and how to operationalize your machine learning projects. We also share how CMOs should take on innovation this year and why machine learning and artificial intelligence implementations are taking longer than expected. And finally, we learn about the must-have …

Transform Marketing With Data, AI for Nonprofits, The New IT Role & More

Andrea Steffes-Tuttle Weekly Roundup

This week, we’ve gathered articles that examine several ways to transform your marketing with data. We examine how Artificial Intelligence can improve your nonprofit fundraising channels, the ever-changing IT professional landscape, and we learn how to choose the right chart type to best illustrate what your data shows. 6 Ways to Transform Your Marketing With Data by Ellie Mirman, guest …

Data: Purpose, Personalization, Types, Spreadsheets, and Understanding AI

Andrea Steffes-Tuttle Weekly Roundup

This week, we’ve gathered articles that examine how personalization is crucial to advertising effectiveness. We look at how important it is to approach data, analytics, and artificial intelligence with purpose—and that it’s now time for everyone in your organization to understand AI. We dive into the role of spreadsheets in marketing analytics. And finally, we learn the differences between zero-, …

Cleaning Data, Digital Transformation, Building Relationships & More

Andrea Steffes-Tuttle Weekly Roundup

This week, we’ve collected articles that look at the necessity to ‘spring clean’ your data (and beyond). We look at what’s really needed for true digital transformation and we consider the pros and cons of using artificial intelligence to train students to be stronger debaters. Then, we examine eight ways in which machine learning impacts day-to-day customer relationships. And we …

Using Data to Change Behaviors, Improving Enrollment Insights with Data Visualization, and Examining the Path of the CDO

Andrea Steffes-Tuttle Weekly Roundup

This week, we’ve gathered articles that look at how to use behavioral data to target consumers as an alternative to demographic data. We learn how to improve dashboards in your nonprofit organization in order to make data-informed decisions. We examine a new way for higher education organizations to visualize data in order to improve enrollment insights and retention. And finally, …

Demystifying AI, Understanding the Fragmented Shopper, Boosting NonProfit Donor Engagement Through Data

Andrea Steffes-Tuttle Weekly Roundup

This week, we’ve collected articles that encourage us to demystify, understand, and better apply AI through experimentation. We look at ways to understand the fragmented nature of shoppers today and develop audience-centric marketing to create relevant experiences. We take this a step further and look at a new panel that will comprehensively track the non-linear path to purchase, toggling between …

Machine Learning & AI Shortcomings, Predictive Analytics in Sales & Marketing, the 2019 State of Fundraising

Andrea Steffes-Tuttle Weekly Roundup

This week, we’ve gathered articles that touch on some of the shortcomings of Machine Learning and AI, and discuss what needs to happen in the future. We learn about the possibilities of data-driven Digital Out-of-Home advertising and we take a look at the state of fundraising for the year. And finally, we share why predictive analytics and machine learning are …