Real Data Analysis Impact Results

Q: What makes Fligoo different from its competitors in terms of added value?

A: We compete directly with IBM Watson Health. We have close relations with the company in San Francisco as we share an office. However, it did not create the algorithms or technology it uses. IBM Watson Health’s focus is mostly consulting, so they implement a solution and then sell another and another. It will cost millions and take years. Fligoo delivers a much faster impact and identifies a client’s exact needs. Finally, we built all the technology in-house. All our employees are engineers with a strong background in data and a lot of experience.

Q: What are the first steps to be taken in a hospital that does not have electronic medical records?

A: The first step is data collection. This can be challenging in places with no digital records or prescriptions, so we must analyze where the information should be taken from. Most times it is a mess, so we must recognize and identify the information that is available and make it digital. The second step is to identify what will help a client or the industry from the information available. Many companies try to begin analyzing data as soon as possible but first we must understand the company’s vision and which elements will help them get there, as well as identify patterns and key factors in the data. The third step is to develop the solution, the algorithm or technology that can process millions of pieces of data and extract the most important information to come to conclusions must faster. Many companies say they do data analysis and that they are innovative but we truly impact a company’s results; we try to decrease their costs, increase revenue and profits, accelerate processes and save employee claim costs.

Q: What are the main challenges you have encountered in implementing solutions? How have you overcome them?

A: We often go to a warehouse and find boxes of paper, which is not organized; it is hard to find a person’s file. Fligoo strives to show impact and results in one quarter, to show clients that, although they may have nothing today, in one quarter they will have some data and some analysis. We have scanned millions of sheets and forms.

It is true that companies see challenges in digitalizing. They struggle to think about data when they do not even have digital processes. We explain we can do it all for them and structure the data. We explain it is not a huge investment and does not take a lot of time. Thinking of Big Data, ArtificiaI Inteligence (AI) and analytics can seem complicated for those who do not have a tech background but we can implement it easily.

Q: How adaptable are your solutions to clients?

A: That is our main focus when we create a product. We know that our solutions have to be easy to integrate and without taking a long time to implement. A client does not want to spend a year implementing a piece of software, paying for engineers and hoping it will work. Our solutions are therefore very tweakable, ad-hoc for each client. We ask them what they want to accomplish, what is most important for them and then adjust the algorithm accordingly to make it work for that client. Technology must be able to adapt to clients that have had a system in place for 10-15 years and are reluctant to change. We must make it as easy as possible for them.

Q: What is your strategy to grow the company?

A: We have plans to open an o ce in Mexico City, another in Barcelona and in 2018 we would like to go to Asia, perhaps to Singapore, Hong Kong or Tokyo. We will be investing a lot in expansion in 2017-2018 and trying to show how good we are and how we can solve problems globally. We work in other sectors too, such as finance and banking, although healthcare represents 60-70 percent of our business. Expanding across countries and sectors simultaneously is a big challenge. We have also just confirmed we will be opening new business units for education.