In this week's In-Ear Insights, Katie and Chris talk vendor and partner management, aka third party relationship management. What is it? How do you choose vendors and partners who fit your requirements best? How do you position yourself as the vendor of choice? Tune in to find out!

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In this week's In-Ear Insights, Katie and Chris tackle a common challenge in organizations wanting to adapt a data-driven marketing methodology: stakeholders who don't make data-driven decisions. Learn why this is the case and what you can do to help transition those stakeholders to more of a data-driven point of view.

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In this week's In-Ear Insights, Katie and Chris discuss how to manage motivation of a team, especially in demotivating circumstances. How do you keep people interested over a long period of time in a sustainable way? What if you don't have the budget or resources for tangible retention methods? Tune in to learn motivation tips!

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In this week's In-Ear Insights, Katie and Chris talking business requirements gathering. Often seen as administrative overhead, business requirements gathering can dramatically increase revenue if you do it right. Learn what business requirements gathering really is, why it's often done incorrectly (or not at all!) and how you can implement the process better to make your organization more efficient, cut costs, and boost profits. Tune in now!

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In this week's In-Ear Insights, Katie and Chris discuss the differences between data science and data analytics. They delve into how data science focuses on exploring why things happen, while data analytics focuses on what happened. They also touch on the importance of requirements gathering and the role of data engineering. Tune in to the full episode to learn more about these topics and the overlap between data science, data analytics, and data engineering.

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In this week's In-Ear Insights podcast episode, Katie and Chris talk about one of the secrets of the C-Suite, based on a recent LinkedIn article. What does one set of executives do to be more productive that others don't, and what lessons we can learn from it? Tune in to find out!

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In this week's In-Ear Insights, Katie and Chris look back at the year that was. We looked at the impact of Twitter's change in leadership and Google's announcement that Universal Analytics is being discontinued. We also discussed the rise and fall of NFTs, Bitcoin and Web 3.0 technologies. We discussed the need to find a balance between being an early adopter of technology and a laggard. Finally, we discussed experiments that have been conducted to integrate OpenAI's GPT-3 language model into tools, to help with content creation.

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In this week's In-Ear Insights, Katie and Chris tackle the written and unwritten rules of community management, especially for private social media communities like Discord. What makes a community management team successful? What makes it prone to chaos? How do you set up your community and your moderation team to be successful? Tune in to find out!

Key Takeaways:

• Unwritten rules are an important part of culture, but there are also important rules that should be written down. • When setting up a community, there should be clear roles and responsibilities and a sense of ownership. • Hate speech is often a broad term, so it's important to decide what constitutes hate speech for the community. • Having written rules can help hold people accountable for violations. • Process for the sake of process and rules for the sake of rules are usually too many.

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In this week's In-Ear Insights, Katie and Chris tackle how to present analytics and data to stakeholders in a world where opinion and emotion increasingly triumphs over data and basic facts. How important is accuracy? How do we stay true to our commitments to be data-driven when decisions are made with emotions? Tune in to find out.

Key takeaways:

- The world is becoming more post-factual, meaning that people are increasingly basing their decisions on emotions and opinions, rather than facts and data.

- This makes it harder for data-driven marketers to provide value, as people are less likely to take action based on accurate data.

- One way to combat this is to help people understand the emotional state they will be in with or without the accurate data.

- Another way is to make data-driven reports more appealing, by telling the full story of why and how certain decisions will impact the business in the long term.

- Finally, it is important to continue to provide accurate data, even in a post-factual world, as this is the foundation upon which sound decisions can be made.

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In this episode of In-Ear Insights, Katie and Chris answer one of the most common questions for jobseekers: "What should my salary be?" Learn the two different methods for determining how much compensation to ask for, and ways to handle salary negotiations in interviews.

Key points from this episode:

1. The first step in determining your salary is to assess your monthly expenses and calculate your monthly target income after taxes.

2. The second step is to research the average salary for your position and location using a tool like salary.com.

3. The difference between your monthly target income and the average salary for your position is your negotiating zone.

4. It is important to be prepared to negotiate your salary in a job interview, as this can be a very intimidating thing.

5. Consider using data to back up your negotiation, as this can be very helpful in getting the salary you deserve.

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