Suppose you are contracted by towing services in Albany to come up with a data analytics strategy and constitute a team that can look at vast amounts of customer data and draw business conclusions, how do you go about it? As the data industry continues to expand, it becomes more important for businesses to develop an analytics team that can analyze and leverage data. To be able to come up with a competent team, all stakeholders need to have a good understanding of the current data industry, skills required, and various roles, as well as ways to attract top talent.
Advanced data analytics is complex and presents a great opportunity for businesses that can leverage the power of data to the fullest. Businesses need to collect the right data and build an analytics team that can produce valuable insights to help in decision making.
Here are some key components to building great analytics teams.
Define data vision and strategy
A good data and analytics strategy begins by setting a clear vision. You need to constitute a data team and have them go into a retreat to discuss high-level strategic questions. They need to put in place the corporate mission, vision, and competitive strategy. The team should define what they need to achieve in line with the company’s mission and vision. They should also establish what data infrastructure they need to build and define all resources needed.
Structure the data analytics team
The next step is to build an advanced analytics team and integrating it within your organization. You need to design a team that supports your data roadmap. When the structure of the team is misaligned, there will be a lot of ill-defined workflows that will hinder analytics. You need to define your structure either to be centralized, decentralized, or hybrid.
Define skills and team roles
Once you have set up your data roadmap and initiatives, you will need to define the skills required as well as team roles. Defining skills and roles can get overly complicated as there are many terms used such as business analyst, data scientist, data analyst, among others. Your team will need to have different skills such as programming skills, math, and statistical skills, hacking skills, and other soft skills.
Recruit and assess skills
The key component of becoming a data-driven organization is not about the data you collect, but the people you recruit. You need to recruit competent people who can identify business challenges and opportunities, collect data, analyze it, and draw meaningful conclusions. The ability to do the above successfully is what shall set the difference between your organization and others. You need to have a solid understanding of what data skills and roles are needed. Think about what kind of people would be able to implement the tasks at hand. You will need to recruit data analysts and data engineers who can help create better business intelligence systems and clean your data.
Finally, constitute your team and give them daily challenges and let them grow more skills to deliver the best for your organization.