Instituto de Ingenieria del Conocimiento is a non-profit organization founded under the patronage of the Ministry of Industry in 1989. It is a Spanish research, development and innovation center, located on the campus of the Universidad Autónoma de Madrid (UAM) i.e. Autonomous University of Madrid.
It is a private R&D+i institution dedicated to extracting knowledge on the basis of high volumes of heterogeneous data (Big Data) and optimizing business processes in areas such as banking, healthcare, social media, energy and talent management in HR. This institute finance themselves by selling their own products and services resulting from their own research. They have thus proven that research and commercialisation are compatible and profitable, and reinvest their benefits in more innovation and research. Besides, they support development of intellectual property as a way to increase productivity and competition in the global markets.
IIC team is integrated by highly qualified professionals who give a good service to clients: psychologists, psychometricians, linguists, mathematicians, physicians, information technicians and engineers expert in their areas and specialized in creating Data Analysis models and technologies.
Institute provide services/solutions which transform data into business value and achieve a competitive advantage, producing tangible profits as they save time, money and resources. They provide solution in these different fields: Banking Environment, HR Environment, Energy Environment, Healthcare Environment, Digital Environment and Customer Intelligence Environment. Big Data is a broad term used to refer to any kind of techniques to process large amount of data which are not related to traditional analyses or tools. This concept comprises many ideas and approaches, nonetheless sharing a common goal: extracting valuable information out of data to support business decisions and processes.
Any project which is focused on the Big Data has three technological layers:
• Storage: The hardware and software resources that allow having distributed and redundant storage of data, making it easier to manage and access the data and avoiding information silos. They account for where to store the data.
• Processing: The data processing tools that work as a basis to handle large amounts of batch information or fast data flows in real time. They account for how to work with data.
• Analysis: Finally, the algorithms and methodologies that perform the data analysis, producing valuable information for business. They account for what to do with data.
Information thus obtained from the data is related to these analytics:
• Descriptive Analytics: Descriptive Analytics consists in the storage and aggregation of historical data, visualising them so that they can help understand the current and past states of the business.
• Predictive Analytics: Predictive Analytics builds itself on the basis of descriptive analytics and, using advanced statistical models, adds to our information base data that are unknown to us.
• Prescriptive Analytics: Prescriptive Analytics is the top level of analytics, the prescription, which exploits the previous levels along with operational optimisation strategies to indicate which business actions will render the best results.
IBM Spain, Gas Natural Fenosa, Santander Group and the Universidad Autónoma de Madrid (UAM), REPSOL, Vodafone, Indra, Samca, Cruz Roja, Acciona and many more.
The IIC develops projects in:
• Management of behavioural patterns. Real-time detection of fraud in banking transactions.
• Modelling and prediction. Prediction of production and energy demand.
• Management of talent. Detection of talent in people, teams, organizations and skills development.
• Management of processes in social network. Organizational optimization and management of information dissemination in social networks.
Some more examples are: ALLERGY ALERTS, EARLY DETECTION OF SEPSIS, COGNITIVE IMPAIRMENT, ELECTRIC VEHICLE etc.