Learn about the critical nature of workflow to activate agile marketing.
- As important as data is, you will only realize its full potential when you get everyone involved. Each member of your marketing team needs to be aligned and on board with a data first way of thinking. This is not to suggest a data only way of thinking, however. So keep that in mind. The best marketing is often unexpected and echoes a sentiment by Ralph Waldo Emerson. He once said, do not go where the path may lead, go instead where there is no path, and leave a trail. This is the sentiment that the best marketers know.
Without blazing a trail, it can be difficult if not impossible, to break through the clutter and have you message heard. It's important to have your creative resources in alignment then with your data driven marketing. Also important to have your marketing directors and your marketing managers and lo and behold, please make sure your strategy team gets it too. It will have an impact on everyone involved and it will require some change management. Again keep that in mind and just plan for it. One of the biggest hurdles for organizations these days is execution, getting things done on strategy as effectively and as efficiently as you can.
To combat this challenge, we have to hold our teams in our programs and one another really, to accountability. So inventory who your stakeholders are, who your teams are, really who's involved, and take the time to reach over that proverbial aisle to establish the necessary shared understanding and systems to support your success. Everyone within the marketing organization should understand the skills taught in this course. That's one of the only ways you'll be able to remove some of the uncertainty that comes from conversations around data science in marketing organizations today.
Anyone with a stake in the outcome should be able to feel comfortable and confident. Talking the talk and walking the walk.
In this course, discover how to gain valuable insights from large data sets using specific languages and tools. Follow Chris DallaVilla as he walks through how to use R, Python, and Tableau to perform data modeling and assess performance. As Chris dives into these concepts, he shares specific case studies that come directly from his own work with clients. Plus, he shares three essential—and practical—best practices for data-driven marketing that you can use to bolster your organization's marketing performance.
- Installing R, Python, and Tableau
- Navigating the UI for R, Python, and Tableau
- Using R, Python, and Tableau
- Exploratory analysis
- Performing regression analysis
- Performing a cluster analysis
- Performing a conjoint assessment
- Stakeholder alignment