employee

What does a cow drink?

What does a cow drink? Milk?

What does a data analyst eat? Pie chart?

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The more important data analysis gets the more companies would like to put together a team of data analysts. To hire and, more importantly, to keep good data analysts, it does not hurt to know that they are primarily motivated by “interesting projects”. Pie charts will not be enough.

There is a growing demand for data scientists around the world. The USA has only half the number of data scientists than the market demands. Moreover in 2016 it became the most wanted job on Glassdoor. This effect is also experienced in Hungary: it is becoming harder and harder to find the right persons for certain positions.

A good data analyst is not only open to the business problems but also willing to “get his hands dirty” by writing query/analytic lines of code. The true data analyst is not a “geek” or a “scientist” (in the strict meaning of the word) but someone who understands what results are the most effective to improve the business.

I don’t exactly know the situation around the world, but here in Hungary in my experience the most important skill is business understanding. If the candidate is receptive for the technology then learning it is much easier than improving business skills.

A good data scientist wants to see his/her work to drive actions and hates working in vain. An international corporation hired a lot of data scientists in Hungary with the promise of interesting projects but ended up losing most of its team because the projects came slower than expected from California. Also a lot of people left the Budapest team of an online service company who turned from B2C to a B2B strategy thus the importance of data analysis decreased.

A lot depends on the creative atmosphere therefore it is a particularly hard challenge to put together and motivate a small team of data analysts. If workload shifts toward “prosy” reporting tasks from business-critical analysis, then the valuable employees would consider leaving the company for something more interesting.

With a correct level of income the secret to keep the “data ninjas” lies not in the money but in diverse and inspiring projects.


Hiflylabs creates business value from data. The core of the team has been working together for 15 years, currently with more than 50 passionate employees.


Data: Power or Democracy?

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We are witnessing an interesting battle in huge enterprises.

Managers on different levels have realized for a while that if they are the ones who access the data assets of their company than they can strengthen their positions best. Many have also recognized that it is worth taking the lead when it comes to data warehouses and analytical systems. By being the source of the initiative they can shape the data structures according to their own perspectives. Not only does it help them to manage the important processes but they can also gain advantage due to the fact that sooner or later others will turn to them for information. (Not many calculated the extra workload it means for their departments as – regardless of their original role – they will become data providers).

Data has become a factor of power in the eyes of many managers.

On the other hand, workflows have become more data intensive than ever before, even for those who work at the bottom of the organizational hierarchy. Most of the modern organizations have recognized that it is worthwhile to extend the rules of democracy to the usage of data and to allow their employees to access the data. Thus, fewer steps are required in the workflows and decisions are made more quickly. What is more, employees will become more motivated as they see the general goals clearer. By noticing this trend, all significant Business Intelligence (BI) suppliers have moved towards self-service systems. The experts can get answers to more and more complex problems with an interface that is easy to understand and to operate – the data as a factor of power has started to slip out of the hands of overbearing managers. Interestingly, the start-ups in the field of Big Data have set similar goals. They provide access to Big Data datasets through a simple interface; in this way, no special knowledge is required to analyse data.

I believe that the democratization of data is irreversible. Although it is possible to use politics in a clever way within the rules of democracy, different tools are necessary than in the era of absolute monarchies…


Hiflylabs creates business value from data. The core of the team has been working together for 15 years, currently with more than 50 passionate employees.


The picture was taken by the Royal Navy.