data visualization

Data Visualization, Marketing Performance Measurement & Data Science Relationships Re-Envisioned

Andrea Steffes-Tuttle Weekly Roundup

This week, we’ve collected articles that cover how to best visually present data to your audience. We share how to tell a story with data visualization and highlight six common data visualization mistakes and ways to avoid them. There’s also a new Marketing Performance Measurement report that we found super helpful and we take a look at the interdisciplinary relationship …

Build a Solid Data Strategy to Fuel Smart Marketing

Andrea Steffes-Tuttle Weekly Roundup

This week, we feature articles that cover how best to develop an effective long-term data strategy for your company. We share how Artificial Intelligence (AI) will redefine your marketing campaigns–and walk through what this looks like. We highlight six case studies Machine-Learning (ML) powered email marketing campaign successes. And we look at what’s required to make your marketing campaigns as …

Machine Learning—Marketing Uses, Implementation Considerations, Job Impact

Machine Learning—Marketing Uses, Implementation Considerations and Job Impact

Andrea Steffes-Tuttle Weekly Roundup

This week, we feature articles that cover the ways in which AI should be used for marketing, no matter how big or small your business. We highlight the delicate balance required to ensure your AI and Machine Learning strategies are done right. We share the important, symbiotic relationship required between Marketers and IT professionals when it comes to marketing technology …

Machine Learning—Executive Help, Marketers Advance, and Data Bias

Andrea Steffes-Tuttle Weekly Roundup

This week, we feature an article that shares which questions to ask in order to get the most out of your data. We cover marketing’s shift to prioritizing data storage for AI and machine learning insights. Also, we consider why machine learning isn’t just about analyzing a pile of numbers and still requires a human touch. Seven Things Every Executive Should Know About Machine Learning …

Data Strategies—Encourage Trust, Utilize IoT, and Constantly Manage

Andrea Steffes-Tuttle Weekly Roundup

In this week’s roundup, we dive into data strategies marketers can use to manage, improve customer data quality, and increase trust. We share why marketers should focus on the quality of their data by becoming data stewards and providing a clear benefit to customers so that they are more likely to share their data. Also, we see how marketers can use IoT to improve …

Marketers & Agencies—2019 Technology, Trends, & Data Validation

Andrea Steffes-Tuttle Weekly Roundup

In our first roundup of 2019, we share the top trends and changes agencies and marketers will see this year. Also, we feature articles regarding a shift to a programmatic marketing mindset with a focus on verification of third-party data. Lastly, it looks like the customer data platform (CDP) sector is on the rise. Read the roundup to find out more. …

Predictions for 2019—Data Focused

Andrea Steffes-Tuttle Weekly Roundup

In our last roundup of 2018, we look back at what has happened this year and what we might see happen in 2019. We dig further into our predictions for AI, Machine Learning, and Data Analytics along with experts from MarTech and Data-Magnum. We also discuss how we see marketers advancing from a digital-first philosophy to a data-first mindset that …

The Demand for Data Scientists Continues to Grow

Andrea Steffes-Tuttle Weekly Roundup

In this week’s roundup, we focus on the growing trend of companies needing and sourcing data scientists. Several of our articles this week are related to how companies can better identify data science talent by asking five basic questions. We continue to see a large data scientists talent gap; however, it could be becoming “democratized,” which will help bridge the …

2019 Business Strategies

Andrea Steffes-Tuttle Weekly Roundup

Building on last week’s roundup, we have focused again on the top trends as we enter into 2019: Artificial Intelligence (AI), Machine Learning (ML), and Data Analytics. We found that B2B eCommerce will continue to grow through 2021 and could benefit from AI and ML predictions. Also, we take a look at Prescriptive analytics and how they build on predictive analytics …