Objective Ingredients: How to write a Data-Driven Objective
While advancements in automation and targeted audiences certainly inspire dreams of smarter, cost-efficient digital marketing, one crucial detail is often overlooked: data quality.
Creating Balanced Teams (and Avoiding Groupthink)
Creating Balanced Teams (and Avoiding Groupthink) International Women’s Day in 2019 was on March 8th. In honor of that day, two of the three regular co-hosts of the Digital Analytics Power Hour podcast (the two straight, white, cisgender male ones — both of whom...
Podcast Measurement: A RAD Emerging Standard
Podcast Measurement: A <span class=“caps”>RAD</span> Emerging Standard Podcasts are on the rise! Consider: According to research conducted in 2018 by the Reuters Institute for the Study of Journalism, 34% of individuals 18 years old and older...
Pragmatic Attribution: Build a Model of Models
Pragmatic Attribution: Build a Model of Models “Attribution” remains a hot topic for marketers. It’s been more than a century since John Wanamaker is credited with making the statement: “Half the money I spend on advertising is wasted; the trouble is I don’t...
Beyond Digital Marketing Services and into the Data-focused Solutions Frontier: Part 2
Clients consistently have aspirations of better leveraging their data but often struggle to align and activate their people. This tested and proven people-first approach can help transform business questions into business impact!
Beyond Digital Marketing Services and into the Data-focused Solutions Frontier: Part 1
Change is inevitable and, over the years, we as Digital Marketers have had to react to a bevy of unprecedented advances.
Women in Technology Event is Sold Out, Speakers include SDI’s Noah Levin
Women In Technology (WIT) serves as a passionate advocate for women and girls at every stage of their STEAM careers and we are proud to be a supporter of this organization.
The Data Literacy Triad
With more data and more ways to work with that data, it is no surprise that organizations are increasingly embracing the need to be knowledgeable and competent — literate — when it comes to the application of data.
