Data Curation

By 2020, the amount of digital data will exceed 40 zettabytes. Having more data will be easy. The real challenge is to have better data.

Which factors influence a purchase decision? Which abnormal values allow a doctor to detect a pathology? Which are the relevant indicators for predicting future market trends? The answers to these questions can be found in Data Curation.

Custom Data Curation

A good Data Curation system must include several differentiated processes that cover the entire data life cycle:

Identification
Selection
Verification
Transformation
Integration
Presentation
Maintenance

At 3.14, we design these processes tailored to the specific needs of each project. Without neglecting any step, we firmly believe that the real differential value of Curation lies in data selection. By placing the focus on the detection of key information, we are able to develop intelligent solutions that fit the goals of each business.

We firmly believe that the real differential value of Curation lies in data selection.

Benefits of Data Curation

Proper Data Curation brings important competitive advantages:

Better decisions: Thanks to Data Curation, organizations can base their decisions on the most relevant data.
New opportunities: Data Curation allows companies to discover hidden opportunities.
Risk limitation: Data Curation solutions help reduce uncertainty and manage risk.
Ability to anticipate: By using predictive models, business are able to be proactive rather than reactive.

Data Curation allows us to discover which indicators we should prioritize in order to achieve our goals.

Curation solutions become essential when managing data on a large scale. The so-called 3 V's of Big Data –Volume, Velocity and Variety– are increasing exponentially. Such growth opens the door to enormous opportunities, but it also poses major challenges. Data Curation is a powerful tool both to seize these opportunities and to meet these challenges.

Volume: Most companies are only able to take advantage of a small part of the information they gather. Dark Data –information stored, but not analyzed– exceeds 80% of Big Data. Proper Data Curation allows business to discover what valuable information is hidden between their Dark Data and which indicators they should prioritize in order to achieve their goals.
Variety: Given that the name Big Data itself refers to size, Volume is the most characteristic property of Big Data. However, Variety is as important a challenge as Volume. So, proper Curation has to involve the integration of many types of data, both structured and unstructured, from different sources.
Velocity: Data is modified and transmitted faster and faster. Therefore, Data Curation solutions must be able to adapt to these changes in real time. Likewise, it is essential to detect the obsolescence of some measurements and the appearance of new indicators.

As Volume, Velocity and Variety keep rising, companies must curate their data. Or, in other words, companies must unlock the full value of their data.