When generating valuable data for our business, we can distinguish 2 types of data:
Data that has value to my business on its own
Data that nes normalization treatment and/or correlation with other data in order to be consider valuable information
This activation of data, or its transformation so that business areas can improve their strategies, defines the concept of “Factory”.
A factory, translat from English as “factory”, defines an establishment equipp food photo iting machinery, tools and facilities necessary for the manufacture of objects, obtaining certain products or industrial transformation of an energy source. Adapting this definition from the RAE to the digital world, we can make the following parallel:
Machinery and facilities: Big data and processing power
Tools: Processes, algorithms and artificial intelligence
transforming data into value
The processes involv in giving value to data are the following:
Identification of the data to be process
Automating data extraction
Basic data processing (normalization, duplication)
Labeling data (or creating a dictionary and taxonomy)
Optional: Creating a knowlge graph
Simple or complex algorithms appli to data (AI/ML)
Integration of results for consumption: Publications, enrichment of other systems (BI, CRM…)
Verifying the integrity of information
What everyone is looking for with the intelligent use of be numbers is the information, sometimes hidden, behind this data.
Once the information has been discover, it is necessary to know how to activate it at a business level. This translates into use cases, projects, and/or services consuming this data: KYC & KYB (knowing your clients and potential clients, your competitors, your suppliers), market studies, campaign preparation, impact measurement, fraud management, analysis of geographic coverage of services, improvement of prictive mathematical models, etc. Below we will see some examples.
Energy Efficiency Certificate (EEC)
Due to the growing awareness of clients, banks and insurance companies regarding climate change and the correct fulfillment of their obligations in terms of corporate social responsibility, there is a ne to imminently have Energy Efficiency Certificates (CEE) for their property portfolio or for the properties associat with their services.
Currently, less than 20% of all the buildings in Spain have an official CEE. At Deyde DataCentric, a system has been Mitä uutta MyGeotabissa elokuu 2024 that allows the extraction of the real labels from the different sources that publish them. And for the buildings without this official certification, mathematical models have been develop that, f by data from real TINSA certifications and from the corresponding appraisal witnesses, allow the estimation of the letters and numbers of emissions and consumption.
