We help you to get and organize information from public data or different websites with scrapping.


We structure databases with information from multiple databases in multiple formats. Organization of information and standardization of variables.

Visualization apps

We create public data visualization applications so that your users can know and explore databases. We use the latest technologies in data visualization to communicate information.


We implement artificial intelligence algorithms to facilitate your work with data, from predictive algorithms to pattern recognition.

Web specials

We develop interactive web specials based on data. The specials have different visual components to guide your readers. See examples of our specials.

About us

Datasketch is a digital platform of investigative and data journalism. Our portal allows journalists, data scientists, social scientists and citizens in general to learn and consult on data visualizations, tools, software and in-depth research on various short-term issues. We have free data tools and different projects to bridge the gap between data and citizenship that facilitates the democratization of knowledge and a critical review of social realities based on information contrasts.

Our team

Juan Pablo Marín

Electronic engineer with a master's degree in computational statistics. Expert in data science with applications in multiple areas such as economics, hydrology and journalism.

Camila Achuri

Statistics and expert in R programming language. She has developed various applications of data visualization in mobility and open data subjects.

Juliana Galvis

Politologist and candidate for a Master in Digital Humanities. She is currently leading the development of the Who Is database, as well as supporting journalistic research and the creation of databases.

David Daza

Bachelor of Electronics. Expert in development of applications and websites with emphasis on data journalism and content management of multiple databases.

Verónica Toro

Anthropologist and researcher. Responsible for the management and organization of the data-community in Colombia and Latin America and provide support in journalistic investigations and the creation of databases.

Mariana Villamizar

Systems engineer and designer. Expert in user experience, data visualization and graphic communication. Feminist.


Don't miss the best of the Microsoft Summit!

June 11, 2017

If you were not able to fly to Seattle to be part of the conference, you now can get the best of this data analysis event through their live updates and video streaming. 


If you were not able to fly to Seattle to be part of the Microsoft Data Insights Summit, you now can get the best of this data analysis event through their live updates and video streaming. 


The Microsoft Conference, allows attendees to have one on one talks with the people behind Microsoft Power BI, SQL Server BI, Excel, PowerApps, and Flow teams to help answer their most complex data questions—and provide product feedback.


The event will take place June 12 – 13, 2017 at the Washington State Convention Center in Seattle, WA.


But if you couldn’t make it, you can experience all three keynotes virtually to learn how you can create a data culture at your organization, and change the way you work.


Keynotes will be lead by James Phillips, Corporate Vice President of the Microsoft Business Applications, Platform, and Intelligence (BAPI) organization; Alberto Cairo, Knight Chair at the University of Miami, Renowned Data Visualization Professor, Author, Designer, and Journalist; and Stephen Dubner and Steven Levitt, Bestselling Authors of the Freakonomics series. 


Also, the most popular sessions from the conference will be streamed live. You can choose which ones to watch to hear the latest trends, tips and BI best practices, and learn how you can help your organization transform data to insights and actions. 


Check out the information in the following link and add the events to your calendar. 

María Isabel Magaña

Journalist, Master in Investigative Journalism and #DataViz. Thus, I see data everywhere. Promoting transparency through