12 infallible tips to prepare a successful data analytics team

For effective data analysis , which will give your company a huge competitive advantage , it is necessary to assemble a respectable data analytics team .

This way, managers and other decision makers will be able to obtain new insights into customer trends and behaviors that would not otherwise be possible.

That's why we've brought you 12 fundamental tips to help you prepare a modern data analytics team . Check out!

Why set up a data analytics team?

Placing data at the center of operations and decision-making and creating a data analytics team are choices that every company will need to make at some point.

Nowadays, in most companies it is still intuition that wins. But in the business world, it is a big risk to have this single source for decision making.

Do you know why?

We explain!

• Opportunities are missed.
• Problems and bottlenecks take longer to resolve.
• Investments become mere bets.

With a modern and well-structured data team , your company will take a much more assertive and secure path through the market, in addition to earning more and reducing costs .

12 tips for a modern data analytics team

So, let's start structuring a successful data analytics team in your company?

Understand now how to do this with these 12 infallible tips that we have separated for you.

1) Alignment

Firstly, you need to align your analytics team. Think about the project analysis objectives , the roadmap, the time, the tools and skills needed to execute it. Only after this clarification is it possible to successfully direct each member to their mission, as well as that of the team as a whole.

2) Business domain

A technical analytics team , which knows all the methods and tools, but does not understand how data relates to overall business goals, delivers less value to your company. Therefore, when preparing your team, dedicate time to ensure that everyone has full knowledge of the business and its rules.

3) Experience

More experienced professionals are able to take advantage of tools in a creative and effective way , and also define the right combination of skills and roles for a member of the analytics team. Therefore, in a data analytics team, it is essential to have members with experience, especially in leadership .

But remember: a team of beginners and experienced data professionals is also essential to take another look at data analytics initiatives.

4) Diversity

Each project requires professionals with specific specialties , such as data scientists , analytics engineers , analysts , etc. So start by mapping out the data , technologies and advanced analytics skills you need, always remembering that the more diverse your team is, the more surprising the analytical insights will be.

5) Priorities

Companies are becoming faster and every day new agile methodologies are being launched. Therefore, it is necessary to test and find the one that will allow everyone on the team to see their priority in work at all stages .

6) Collaboration

Build collaborative data environments. In other words, create a common language to tag and classify data, compatible systems for easy sharing, storage accessible to everyone, and other processes that allow data to be reused over time and in different spaces.

7) Autonomy

The benefits of data are not fully exploited if the team is not able to act quickly. Therefore, train and free your analytics team to make agile decisions . To do this, create an intelligent environment, which allows mistakes as long as they bring learning .

8) Data verification

Provide time for the team to get to know and manage the databases used for each project. This is fundamental to the success of the data analytics team, considering that the analyzes will be as accurate as the data is accurate .

9) Experimentation and innovation

Trying out new methods and new tools , and always analyzing data from a new perspective must be “routines” that cannot fail to exist for the data team .

Therefore, make it clear to your team that there is freedom for innovation and improvements.

10) Skills

Invest in time and people!

To keep up with the speed of the market, it is essential to seek the team's personal development , that is, to invest in studies and training.

It is a long-term plan that, with due analysis and guidance from each member, will bring ideal analytical resources to your projects.

In fact, a great option to stay ahead of technological advances is to participate in online courses created by Indicium Academy .

Now, for example, registration is open for Training in Analytics Engineering , one of the most sought after roles by companies today. Take advantage and sign up now to secure your spot!

11) Retention

All effort and investment in recruitment, integration and training cannot be in vain.

Do you know why?

The demand for data professionals is growing, and it's not easy to keep your best talent . So, strengthen your company 's internal culture and give your analytics team reasons to stay.

12) Outsourcing

Finally, if you're on a tight budget or don't have the expertise needed to prepare a successful data analytics team internally, turn to external experts, like our Indicium team . It's a very common practice, which can bring results for you in a short space of time, as well as more visibility for your company.

Don't know where to start your data analytics team?

Contact us!

We are one of the main data analytics companies in Latin America and we have a complete team that helps the best and largest organizations in the country at this stage of their business.

Contact us by clicking here .