Data changes businesses in profound ways by informing leaders of necessary but sometimes unseen parts of their company. The application of analytics not only provides companies with the ability to help them grow but also steers them away from risky outcomes.
The purpose of data is not to just have it and collect it but to actually make use and sense of it. Your goal is to achieve business engagement, lift your operations, pull in your employees, and cultivate a sense of purpose overall.
What’s important to remember about data collection and reporting is that it’s not a finish line. It’s a process that only grows with your company. It’s a lending hand, your side-kick, and your wing-man all at the same time.
- The value of the data you collect comes from collecting, analyzing, and implementing it to make better and informed decisions. It’s not something you do for the sake of it, but to actually learn from it.
- Data is only useful if everyone is aware of it. You have to get your data in front to your staff, employees, market, social media, and on any platform. Get people excited by the statistics as it encourages demand and a competitive advantage.
- Data culture needs a balance between those in data science and those doing the on-the-ground operations. Essentially, the former must showcase the data and its value but the latter has to use and make sense of it.
Most of what you have learned and read so far brings up the point of defining roles in a business as an important step in sourcing and having the right data culture.
- As business leaders, what you need to know is that it’s your job to lead the analytics transformation across the organization.
- As delivery managers, your job is to deliver the data insights with users.
- As an integrator, your job is to build reports based on the data insights and to implement solutions based on data-driven insights.
- As visualization analysts, you create the report and dashboard so it can be made sense of.
- As data engineers and architects, it’s your job to collect, structure, and analyze the data but also ensure the quality and consistency of it for future data flows.
- As analytics translators and scientists, you have to ensure that the business problems are being solved and that statistical models and algorithms are developed for this.
We hope that by understanding the value of a data culture, the purpose of using data and making sense of it to make informed decisions and defining roles within your data team will give your company “the ultimate wingman” to aid you in your business endeavors.