One of the big bets of companies for the coming years is the qualified analysis of data for decision making. Although this trend is not entirely new, the data phenomenon is gaining momentum today thanks to technologies such as Big Data and the Internet of Things. In Latin America there is still a lot of ignorance about what kind of data is obtained, which are the most relevant, but above all what to do with this information.
Two young Colombians, Óscar and Luis Fernando Hoyos, thought about this big data explosion and its possible applications in companies availability analysisa SaaS solution that maximizes the value of analytics, IIoT, big data and predictive models to reduce operational and maintenance costs.
Oscar worked as a reliability engineer in a copper mine in Chile and Luis Fernando was a reliability consultant for the oil sector, working on projects for companies such as BP, PetroBras, Ecopetrol, among others. During these experiences, both have been able to understand the needs in the various industries on the information quality of maintenance systems and on the decision models available to support “better” decisions.
So 3 years ago they developed a methodology that would improve the quality of maintenance information in companies. First started as a consulting company and today availability analysis is a technology company that offers a cloud solution focused on optimizing maintenance and reliability management by leveraging technologies such as analytics, IIOT and big data.
“The chance was clear for us. We wanted to solve the big challenge of “good quality maintenance information” in asset-intensive industries. We live in the information age and we knew the great opportunity that existed and still exists»
The future lies in the data and its interpretation
Throughout the history of maintenance, various technologies have emerged that have independently revolutionized power generation scattered and disconnected data sources that complicate decision making. The computers generate a large amount of information that exceeds the analytical capacity of humans. For this reason, it is necessary to have at hand a solution such as Uptime Analytics, which facilitates the collection, processing and analysis of this mass of information, thus managing more efficient teams capable of meeting the production goals of the industries.
The business model of this company is 100% based on technologies like Big Data, IIoT, Analytics, Industry Cloud that are changing the way things are done today:
- Big dates: can be defined as managing a variety, volume and speed of transmitted data. Assets generate a large amount of unstructured data containing a lot of information that well analyzed, it could be used to improve asset performance.
- IIoT: The IoT (Internet of Things) is the connection of digital devices, mechanical machines, objects, animals and even people communicating with each other via a network. IIoT (Industrial Internet of Things) is the use of IoT technology in industry. Quick access to asset information allows us to make more timely decisions about when to stop a device to avoid the consequences of a failure.
- Analytics: The analytics platform allows us Process big data, build prediction algorithms and display information in a friendly way and flexible for customers.
- Industry Cloud: is a solution hosted in the cloud, thereby reducing the customer’s infrastructure and software maintenance costss and enable access to information faster and from any point to make better decisions at the right time.
Data expansion is market expansion
Uptime Analytic, currently in Wayra Colombia’s Acceleration program, focuses on the verticals: Energy, Hydrocarbons and Mining. The way to reach new customers is through allies or directly.
However, their ambition is not limited to the local market and they already have a strategic expansion plan abroad. “Today we have a gas company in Canada and a hydroelectric company in Chile as customers. We won these customers through the wide acceptance of our course “Achieving Reliability from Data”. To date we have trained more than 200 people, 50 companies in 5 countries (Mexico, Argentina, Peru, Chile, Jamaica, Canada),” they comment.
For this entrepreneurial couple, in 10 years Uptime Analytics will be a benchmark in the data market, enabling asset-intensive companies to improve their maintenance efficiency and the performance of their assets through data analysis. They only hope to consolidate their national and international presence, to develop technologies to fulfill the mission and to have developed and materialized the concepts of Shared and commercial analytics.