Most people are unfamiliar with the concept of open data, and even fewer are aware of the amount of information that is available for free access today. Despite this lack of awareness, public data is increasingly being used for a variety of purposes, from making decisions about individuals to developing business strategies.
Of all the possible applications, this last one is perhaps the most interesting. Since most publicly available information has a smaller granularity, that is, it does not talk about individuals, but rather about cities, countries, or economies as a whole, its application in individual decisions is more limited. However, when used at a strategic level, it can add enormous value to any company.
In the context of strategic planning, granular information is practically useless. Decisions about which target audience to approach, which products and service lines to invest in, which markets to operate in or not to operate in, are not – or should not be – made based on data from a single individual or company. To make these decisions, it is aggregated information, which tells us about the behavior and trends of the population as a whole, that really generates value.
When we talk about aggregations, or information taiwan phone numbers that deals with macroeconomic and population trends, it is most common for companies to look for official data sources, published by government institutions (the IBGE, in the case of Brazil). As reliable and interesting as the data made available by these sources may be, however, the frequency of their updating is very low, measured in years or decades.
Because of these limitations, aggregations built on alternative data have been increasingly sought after by the market. To meet this need, at BigDataCorp we developed BigMarket, a set of macroeconomic and macro sociodemographic series and indicators that are unique in the market, built from granular information, which allows for more in-depth analysis and planning than was possible in the past.
With the individual data we capture, we can build aggregates of information that show trends at a much higher frequency than any sample source can. Imagine having visibility into the population evolution of a country, city or neighborhood, updated every day. Or the ability to monitor prices of hundreds of thousands of products, in every city in the country, every minute. Or even the possibility of knowing exactly how many companies of each type are opening and closing in each location in the country.