Words such as digitization and digital transformation have now become common in everyday use. What is often not told, is the behind the scenes of these processes. In particular, in this article we want to focus on the quality of digital data (also called Data Quality), which becomes essential for the success of digitization and Digital Transformation. To do this, we went down to our “digital mine” to speak with Ilaria Iannicola, Data Analyst & Data Quality Specialist.

Data Analyst & Data Quality Specialist

Tell us about yourself. What does your work at Pragma Etimos consist of and how did your passion for data come about?

My work has to do with that part of Pragma Etimos that takes care of the quality of the personal and territorial data of the customers. The task as a Data Analyst & Data Quality Specialist is to organize the Data so that it is readable, understandable, usable and can be used within the company.

My passion for data was born, partly during my university career. But it is above all working in Pragma Etimos that it took shape. Here I was lucky enough to meet a colleague who made me even more passionate, making me understand the true value of data. It is one thing to find out on the internet and study books, the other is to “get your hands on it”. As I continue my journey, I realize that this branch is what interests me and satisfies me the most.

What challenges do you face while working as a Data Analyst & Data Quality Specialist?

Everything around us is a data. What companies greatly underestimate today is the potential value they can extract from this data available to them.

More than challenges, I encounter some inconsistencies typical to the world of data. On the one hand, companies want to incorporate technology and innovation, but on the other hand, they do not understand that everything starts from data. The consequence of this unawareness starts already from the collection process. People who enter data in the management system or in a database often do it in a way that is understandable to them or by mistake they duplicate an existing data by writing it in another way and again they insert it with typos. The difficulty lies in making each of these people understand the responsibility they have when entering data in making it usable and understandable to others and / or to machines.

What do you think are the most common mistakes companies make when working with data?

As mentioned, companies often don’t understand its value. Many companies “innovate” for fashion or “because others do it”. Many are convinced that the transition from human to robotic must be made. But, in my opinion we are experiencing a state of regression in which already now we no longer ask ourselves why we are doing a certain thing. When you click a button you need to know why you are pressing it.

When it comes to data understanding what you are doing and what the goal you want to achieve is essential to have a return. It is from this data that Artificial Intelligence and Machine Learning, which we hear so much about are born. Either you have a basic knowledge of what you have or want to include within your company or else you risk it not working at 100% of its potential.

To stay on the subject with Pragma Etimos who calls itself  as a “Digital Mine”, even from the smallest of data you can get a “gold nugget”. Not knowing how to collect and use data adequately becomes an exorbitant cost.

From the moment you have a core of data within the company with which you can perform an analysis or use a technology and you are aware of what you have inside a world of possibilities opens up. You must start from the awareness that the value of your company depends on what you sow and harvest. We all have to imagine ourselves as a farmer: starting from a small land with a handful of seeds taking care of them throughout the process up to harvesting and knowing how to transform the raw material into something valuable. Gradually, you buy more land take different seeds and bring additional wealth. In Pragma Etimos we started from a mini collection of data that we have cataloged and divided into territorial and personal data. This made us possible to go straight to the goal and grow over time. Till date we also process visual data (images and video) and audio.

I would like companies to understand that when starting a digitization process, the first steps should be taken internally starting with the data that they already have and which represent the heart of the organization. Obviously, the outside world has more data but those can be integrated later to enrich what you already have.

Do you think it possible to spread a culture of data in all companies, large and small? If so, how do you think we’ll get there?

It’s not impossible, but it’s not an easy step. The technological world goes on daily. What is new today is already old tomorrow. If you want to stay in the market and grow, it is almost a necessary step to start using the data properly. Data has become the basis of success. You can try not to use them, but you will struggle to stay in the market.

I think we will arrive at a shared data culture through communication. The more we talk about the data, the more curious we will make people to know about it.

Data Quality

What is the innovative value that Pragma Etimos brings to companies?

Our main strength is certainly the mix between the “old” and the “new”. On one hand, we have the experience and know-how developed by the founders in more than thirty years of activity; on the other, young team members with a fresh mind, curious to learn from the past, while keeping up to date on the latest discoveries and innovations. This leads to a constant requalification of the company know-how.

The value of Pragma Etimos lies in accompanying the customer step by step. I imagine the digitization of a company like the construction of a house: it does not appear just because you want it. There must be a design, and a project. The positions of the load-bearing walls and the windows of the door are defined; we start from the foundations and brick by brick we build.

We always start by listening to the customer’s wishes. It is not enough to insert a technology to make a digital transformation. We try to understand how to adapt our solutions to real needs and involve the customer during the various steps of the project. When it comes to data, understanding what you are doing, what is the goal to be achieved, is essential in order to be able to derive an added value. It being understood that the value comes only if you are ready to welcome it.

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Discover V’s. 

It is a short sentence. Data is vital energy. I hope to create a great news.

In conclusion Semantic Clustering is cool. I talk about it t. As a result, it fell over.

Data Intelligence is very important. Today we talk about Semantic Clustering.

I enjoy his company because he always tells interesting stories. For example about Data Cleansing.

Data Cleansing is Data Quality. Infact, they clean data and transform them in quality data.

This article is usefull? Great! In this paragraph, I’m going to discuss a few reasons why practice is important to ICT skills.

Fantastic!

Whats the name of V of Big Data?

Velocity, Value, Vericity, etc. For example, yuppy. Moreover, that number rises to as much as 90% when you put theory to practice. In conclusion, following up explanation with practice is key to mastering a skill.

The passive voice is a monter, moreover. Firstly, the only way to truly learn a skill is by actually doing what you’ll have to do in the real world. Secondly, I think practice can be a fun way of putting in the necessary hours. 

Data intelligent is on the table. Are you sure? Yes, I, am. It is fantastic! I’m tired. Therefore, I’m going to bed.

 

 

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