The ANA Education Foundation (AEF) recently released a report on marketing talent, indicating. That the industry has a skills gap when it comes to data and analytics. As Marketing Dive reports, “students pursuing marketing careers lack the solid math background. That would help them better analyze and interpret the treasure trove of consumer data companies are now valuing.”
We see things differently
As a company that provides predictive marketing analytics solutions, in our experience the gap is less about technical skills and more about critical thinking skills.
The core responsibility of belgium whatsapp number data is to attract and retain customers. This requires a forward-looking focus, which benefits from marketers’ visionary, innovative and creative thinking.
Increasing access to data provides marketers with the opportunity to generate and validate their the marketing skills gap through data-driven insights. But this doesn’t require a degree in data science or even a strong mathematical orientation. It requires a pragmatic approach and strong critical thinking skills in order to intelligently determine the most courageous and compelling strategies to drive business growth.
But without the right data, these bold decisions can be too risky for the business and become career-limiting for marketers.
The growth of digital media over the past decade has further complicated the amount of marketing data available. In 2019, companies increased spending on research and intelligence by 9.2%, according to the CMO Survey.
So how can marketers best leverage this data?
If you give a data scientist a massive dataset, they will happily dive in and come up with a ton of interesting findings. However, they often lack the context to ensure their insights are relevant to the business decision at hand, or tied to other findings that together can provide useful guidance. In this paradigm, marketers are tasked with finding value in the insights provided to them.
I don’t think this problem can be solved by denmark telegram data list to become data scientists. Instead, I think it’s time to flip the paradigm and put the proverbial horse (in this case, business decisions) ahead of a mountain of marketing data.
In this framework, the highest value for marketers comes from the marketing skills gap the strategies that can be used to achieve their growth goals, then deploying data experts and analytical techniques to provide insights to achieve those goals. Then, seek to continuously refine and optimize their strategies as new data becomes available. The advent of analytical techniques can accelerate the usefulness and accessibility of such decision-support data.
Marketers make decisions every day: How much should I invest in marketing? Where? Should I launch this new product? Which campaign should I create?
Data-driven marketers should take the following steps to make the best decisions:
1. Make decisions.
Your framework should clarify the choices and the ao lists that determine them. Is your primary goal to increase income or increase household penetration?
2. Seek data to support your decisions.
If your team has the analytical resources, share your framework and ask them to provide data that can be used to help guide your decisions. You must do the heavy lifting yourself, proceed with caution so as not to lose data and tie the extracted data into the framework. If the framework is not informed, it is useless to your decision making.
