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How to increase your team’s data analytics skills
Why your team must have data analytics skills.
To stay competitive in today’s mobile-first world, everyone in your organization—data scientist or not—should know how to analyze and interpret marketing data, either it is customer insights and or even key trends to overall performance.
It is true; in a recent Econsultancy survey, important conclusions were marked.
Two-thirds of mainstream marketers said their organizations do not yet have sufficient analyst-related resources to accompany data-related goals.
On the other hand, the study showed that leading marketers—those who outperformed their top business goals in 2016—appeared to have found a solution: Make everyone in your team an analyst. Nearly 60% of the leading organizations today, get enough training to effectively use their data and analytics resources. It’s no surprise then that training your entire marketing team to be data analysis pros is a priority. Not only amplifies your analytics purview but also helps you reach customers faster and more effective during the moments that matter most.
How to accomplish that.
- Find out the strengths and weaknesses of your team. Set a baseline of knowledge requirements, and bring everyone up to speed, with skill assessments and training modules.
75% of all types of marketing organizations agree, that the biggest barrier to making more key business decision based on data insights is the lack of education/training on data analysis.
- Make sure your data is presentable.Your data must be clean, organized, secure and understandable. Thus giving your marketing team clear definitions and common metrics.
33% of marketing leaders express vividly the importance of data and analytics strategy. In conclusion it defines how their organization understands their customers’ needs.
- Give them the tools they need. Once you ‘ve created a data-savvy marketing team and properly organized your data, give your team the technology needed to move forward.
Organizations with integrated marketing and advertising systems are 59% more likely to use digital analytics. Optimising user experience and delivering more customer relevant experiences seem to play a pivotal role in this endeavor.
- Recognise and reward those who get results. Identifying and promoting data-driven marketers who get results, is a key factor.Especially those on track for leadership positions, which can influence decisions and teach others to lead.
We will be in touch!