It’s time to Forget Data Scientists And Hire A Data Translator

The requirement of the data translator has witnessed a sudden hike of late. People are increasingly looking for a data translator or someone who can train someone else to be one.

This makes you think about who are these translators and does your company needs them?

Let’s do a little research.

Data Translator

A Little About Data Translators

Many times, the executive decision makers are unable to make the scientists understand what they want. And sometimes this happens another way around as well. This is where data translators come into the picture. They are a channel between them both.

They are skilled especially in grasping an organization’s business need. Also, they are savvy enough to talk about technology. And thus, they can make the others in the organization understand easily.

Data translators are someone who can understand both the executives and the scientists and make them understand each other as well. They can extract the meaning and application from the information provided by the scientists.

Since they know what the business needs and respects the work of the scientists, they can set a connection flow between them. And that makes them demanded and a respected person in the business entities.

How Do They Help?

A scientist prefers to work on his data rather than explaining it to someone who can’t understand it. And executives can dismiss a useful idea because they are not able to understand its functioning and relate to its usefulness to the organization.

A data translator is tech-savvy enough to understand the data provided by the scientists. Also, since he understands the needs of the business, he can interpret the data in a simple language, making executives understand it. In this way, they can relate the data to their requirement.

In a business, decision makers like being in control. But when they are put face to face with the data that they can’t comprehend, they get uncomfortable.

A data translator can identify the business opportunity in the data provided to them. And that’s one thing neither the scientists nor the executives can do. They can understand the perspective of both of them and translate it for each other.

In simple words, they establish a sync between the management and the scientists. They bridge the communication gap between ideas and facts between them.

Skills You Need To Be A Data Translator

There are specific skills that typically all data translators need. They should be inquisitive. A data translator should have the desire to ask questions to get a deeper understanding of both business and the data.

Also, they should have the confidence to stand against the biases and perceptions of individuals. He might need to do that at every level of the organization.

A data translator must be well versed in business and data jargons and should be able to understand the business requirements well.

He must either have the analytical knowledge or should have the aspiration to acquire it. This will make his communication with the scientists more effective.

He must be able to use an easy to understand a language so as not to confuse others.

So, Do You Need A Data Translator?

You own a business where your team collects a lot of data. However, you don’t understand how these data results in enhancing your business and making business decisions.

If you can relate to the above situation, you need a data translator. This scenario means that you are not able to completely fathom the full potential of the data.

A data translator will minimize the miscommunication and frustration you go through every day. Along with that, he will maximize the returns the data generates on your business.

You can look for someone in your company who understands these data in the way you want them to be interpreted. You can have them brush up their core-communication skills. And most importantly, they must have the zeal to fill the gap between the executives and the scientists.

And since they know your business well, that could give them a head start for being a successful data translator for your company.

Rounding It Up

Being a data translator is quite a job. Data science is quite cross-functional. And they have to spend a lot of time in bringing technology teams, business, and analytics on the same page.

It gets unusually hard severe in the business where there are multiple competing agendas for the teams. Aligning their priorities and getting them to speak the same language is a vital part of the job.

Unlike what others think, it is not just about algorithms. This job is about translating an analytics agenda into a business case. A lot of type goes in understanding the data, developing hypotheses, measuring impact and exploring patterns. Selecting an algorithm is a tiny part of the job.

There are ways a data translator can make his work more comfortable as a data translator. They should try to keep an internal blog where they can quickly record the daily results. Don’t turn them into formal documents. Let these blogs be casual documentation of your perceptions over the time.

They can also keep a runbook as a documentation of how an analysis model is run, how to repeat them and why they were developed. It is natural to forget something that’s old be it two months ago or three. Runbook ensures that you or someone else can repeat your work.

Concluding

The job of a data translator is tough. It gets incredibly disappointing when they spend a lot of time in developing a model, and it doesn’t get to be a part of the organization’s process.

Like everyone, they also want their hard work to be fruitful and be used by the business enterprises. It usually happens because the models are not always compatible or applicable. And hence they must use a checklist before creating such models.

Today, the world is data-driven. And that is driving these data translators to work. If someone thinks, they have the knack for it, it will make a good career for them.