This data was originally featured in the January 3rd, 2024 newsletter found here: INBOX INSIGHTS, JANUARY 3, 2024: PROCESS OVER OUTCOME, DATA AS AN AI ADVANTAGE In this week’s Data Diaries, let’s talk about one of the major factors that will determine success or failure when it comes to generative AI: the quality of your […]
This data was originally featured in the November 1, 2023 newsletter found here: https://www.trustinsights.ai/blog/2023/11/inbox-insights-november-1-2023-chatgpt-survey-analysis-root-cause-analysis/. Today, let’s tackle a question we’re all faced with at one point or another in your careers for data analysis or as a data scientist: Why are the numbers down? (or some variation thereof) Answering this question can be one of […]
This data was originally featured in the September 27, 2023 newsletter found here: https://www.trustinsights.ai/blog/2023/09/inbox-insights-september-27-2023-marketing-event-attendee-success-guide-marketing-jobs/. In this week’s Data Diaries, let’s take a look at the job market. A number of friends and colleagues have been looking for work in recent weeks at all levels; one friend who’s a senior marketing leader has been searching for […]
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss how to vet and hire the right analytics expert or analytics agency for your business. We cover the importance of having your processes and goals clearly defined before bringing on help, so you can assess if a potential hire or agency […]
Read More… from In-Ear Insights: How to Vet and Hire an Analytics Agency or Employee
This content was originally featured in the August 18, 2023 newsletter found here: https://www.trustinsights.ai/blog/2023/08/inbox-insights-august-16-2023-be-your-authentic-self-marketing-jobs-recession-8-16/. I’m a jeans and T-shirt kind of girl. Technically, I’m more of a yoga pants and t-shirt kind of girl. And a hoodie. I’m making this admission because I have a few events over the next few months and I need […]
This data was originally featured in the August 30, 2023 newsletter found here: https://www.trustinsights.ai/blog/2023/08/inbox-insights-august-30-2023-foundations-of-innovation-ai-driven-pumpkin-spice/. This week, it’s pumpkin spice season! Well, specifically, it’s the peak of search inquiries about all things pumpkin spice. However, we’re going to do things slightly differently this year, rather than just our usual roundup. That’s a good place to start […]
In this episode of In-Ear Insights, the Trust Insights podcast, Katie and Chris discuss how to leverage large language models like ChatGPT with your business analytics data. We talk through real examples of using AI to analyze CRM data for buyer personas, extract tables from PDFs, summarize PowerPoints into executive briefs, transform your data into […]
Read More… from In-Ear Insights: Analytics Use Cases for Large Language Models
The Netflix TV series Warrior Nun was cancelled on December 13, 2022. As with so many other shows and franchises, fans of the series took to social media to protest it – but the Warrior Nun fandom took a different approach. Rather than uncoordinated yelling, fans self-organized in what was one of the most interesting […]
Read More… from Data Science, Analytics, and AI Behind the Save Warrior Nun Campaign
INBOX INSIGHTS: Monthly Reporting Part 4, Common Crawl in AI (6/28) :: View in browser 👉 Until July 2, take 50% off our Google Analytics 4 course with discount code TENDAYSLEFT 👉 Want someone to just do it for you? Let us know how we can help. Monthly Reports, Part 4: Performance Wow, you’ve stuck […]
Read More… from INBOX INSIGHTS, June 28, 2023: Monthly Reporting Part 4, Common Crawl in AI
This data was originally featured in the June 1, 2022 newsletter found here: https://www.trustinsights.ai/blog/2022/06/inbox-insights-june-1-2022-google-analytics-4-course-metrics-going-the-wrong-way-analytics-as-a-mirror/. In this week’s Data Diaries, let’s look at an example of putting analytics data into action. One of the challenges of analytics is that it’s inherently rearward-looking; analytics data is like looking in the rear-view mirror of a car while driving. […]
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