For companies, it is increasingly essential to support their strategies with artificial intelligence (AI) and "machine learning" tools, since these systems have the ability to suggest the best combinations of offers to ensure sales success.
For sales software used by companies, artificial intelligence (AI) and machine learning have become essential, because only in this way is it possible to successfully analyze the large volumes of information generated from information systems that record customer data.
Technology and tools for analyzing large volumes of information used by large corporations to make business decisions are also available to businessmen and small companies.
Finding the best location for a new sales point, finding the areas where potential customers move and analyzing their purchasing power and their behavior as consumers are just some of the things that can be done today with the help of new technologies.
The ability to identify and understand hidden patterns and correlations in large volumes of data and use them to make business decisions is becoming a strategic competition for companies for the future.
Machine learning and statistical analysis are some of the most popular techniques used today in artificial intelligence (AI) applications. Automatic learning is the AI technique for identifying hidden patterns and correlations in a large amount of data that humans cannot identify on their own, explains Brian Ka Chan, technology strategist and researcher at Smart City.
The business models operating under the concept of a subscription, such as Netflix, Amazon or even PriceSmart, can have great advantages over their competitors if they manage to properly manage the large volumes of data they handle.
The payment of subscriptions is not only for modern online services, as retail companies apply it in the region, as is the case of the supermarket chain PriceSmart.
In a context in which the creation of digital records is increasing, investment in data analysis, technology and personnel becomes fundamental and essential to ensure the best possible performance in companies.
Advanced Analytics (AA), which can be executed from data from digital platforms, wireless sensors and millions of mobile phones, is transforming competition across multiple sectors by generating opportunities to capture value from improved decision making and comprehensive business transformation.
Through geolocation tools and techniques for analyzing large volumes of information, the fashion firm H&M studied what users in a specific city were looking for on the Internet, in order to design a collection tailored to their preferences.
Although some think that the tools and techniques of Big Data, Artificial Intelligence and Machine Learning are only for some industries, the bet recently made by the famous fashion house H&M refutes those who use that argument, confirming that there are multiple markets and industries that are increasingly taking advantage of the great value that these tools have in optimizing processes and generating more and better business.
Having the required resources to manage the data needed to make decisions is crucial to the success of businesses in today's environment.
Today's data savvy organizations, those with a top-down approach to decision making, do a better job of extracting value from the data, explains a Coursera publication.
Using information without defined objectives and not integrating it across the entire company are part of the mistakes that organizations can make when analyzing large volumes of data.
Although there are still many companies that have not begun to analyze the information they accumulate in their operation, there is a risk that the efforts they make in the future will not achieve the expected results if the mistakes that some organizations tend to make in the process are not avoided.
With the boom in data mining and the use of algorithms to make recommendations to customers, companies are beginning to face the decision of whether to provide "human" assistance or through bots.
At a global level, several companies have opted to develop their data analysis departments, with the aim of finding suitable information to develop models that automatically make recommendations to their customers.
The predictive model designed with data mining techniques used by the Ministry of Finance in Costa Rica has detected payments to third parties totalling more than $31 million.
By cross matching information from the 132 databases available to the Ministry of Finance, the Tax Intelligence Office is trying to predict which companies are more likely to evadetaxpayments, depending on their historical behavior measured through transactions, tax returns and other data. By linking together all of the information, they are identifying patterns of behavior similar to those of other companies that have evaded taxes in the past.
In Costa Rica, the Ministry of Finance is using a predictive model designed with data mining techniques to determine the behavioral patterns of companies that might be circumventing tax payments.
Analyzing and crossing checking historical information from multiple databases, the statistical model used by the Directorate General of Taxation attempts to predict which companies are more likely to evade paying taxes depending on their historical behavior measured through transactions, tax returns and other data.By linking all of the information, they identify patterns of behavior similar to those of other companies that have evaded taxes in the past.
The failure of polls on the presidential election in the US shows that in order to get the right information, data must be collected and analyzed with scientific rigor, free from any bias caused by the personal interest of pollsters and analysts.
EDITORIAL
Only 1 out of the 20 main pollsters, newspapers and television stations in the United States who possessed all the tools needed to properly manage the demographic data and surveys, was right in indicating who the next president would be.
In just a year and a half, and in the midst of an economic crisis, Central America’s information outsider, CentralAmericaData.COM, has become an unprecedented editorial success.
From February 16th to March 18th, CentralAmericaData.COM, the region’s bilingual business website, was visited by 194.000 people, who read more than half a million pages, satisfying their needs for business, economics and finance information on Central America. These numbers are endorsed by the objectivity of Google and Quantcast, a renowned online media measurement agency.
If you are older than 50, and envision the survival of your life long company, you must make the effort to understand what’s coming. “Having a clear vision of the future is fundamental for succeeding in business”.
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O4Bi is a system that allows to control and manage what a company needs: the complete process of development of works, accounts receivable, treasury, banks, sales and accounting.
O4Bi is a very robust system that allows to control and...
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