In the digital era, data is being created at a speed never seen before, and its proper application in business intelligence is already generating incalculable value for businesses
It seems irrational to suggest that a concept like data could be more valuable than an established and indispensable product like oil, but as the years have gone by, this already seems like a reality.
Big data analytics is an effective solution for identifying behavioral patterns and establishing strategies to help detect and prevent fraud in various business sectors.
Most companies are not aware of the information they have and how to leverage, analyze and understand it, which can result in the loss of a large amount of potentially useful data by normalizing fraud and other criminal activities in their processes and make them difficult to prevent and detect.
Through information solutions based on the use of satellite photos, the application of classification models and the implementation of machine learning algorithms, it is possible to optimize the management of large plantations and minimize the risks faced by crops that affect profitability per hectare planted.
The growing availability of data that exists today is leading companies to seek new ways and tools to take advantage of this huge wave of information that is being generated in different business sectors.
Analyzing satellite photos to estimate the production capacity of an area or evaluating images of a product being sold on the streets to calculate its market-share are some of the business solutions that arise from the transformation of images into data.
Traditionally, when teachers or businessmen wanted data, they requested surveys. Data would be ordered, in the form of numbers or boxes checked on questionnaires.
Does it make sense to keep doing surveys to evaluate, for example, the ranking of a brand, when all the real, honest, and unbiased information can be inferred from people's behavior on the Internet?
"... Traditionally, when teachers or business people needed data, they commissioned surveys. They obtained data in an orderly fashion, either in figures or in boxes marked on questionnaires.
To effectively apply data analysis tools on a large scale, the proper structuring of the information is essential, otherwise the cost that the company will have to incur to reverse the errors will be very high.
Data governance, which encompasses the set of processes, functions, policies, standards and measurements that ensure the effective and efficient use of information, becomes relevant to enterprises, which increasingly benefit from the use of machine learning tools and statistical analysis.
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.
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 National Institute of Electrification of Guatemala tenders the satellite link service in Band C for generating plants.
Guatemala Government Purchase 9179828:
"This data link is required in the following places to the central offices of the INDE for the Maintenance Management System and Connectivity to the INDE network:
1. Hydroelectric Chixoy
2. Chixoy Hydroelectric Dam
The success of companies increasingly depends on their ability to integrate data analysis both for strategic and operational decisions.
Both the availability of data and the ability of technology to use it for analysis, have increased exponentially in recent years.More sophisticated algorithms have been developed and computational and storage power has steadily improved. The convergence of these trends is fueling rapid technological advances, aiding better business management.
Bartle & Gibson - Western Canada’s premier plumbing, heating, and electrical distributor - now uses NAKIVO Backup & Replication to protect their VMware VMs.
NAKIVO Inc., the fastest-growing virtualization and cloud backup software company for VMware environments, today announced that Bartle & Gibson has selected NAKIVO Backup & Replication to protect their VMware environment.
The Administrative Board of the National Registry of Costa Rica is putting out to tender consultancy services for the design and subsequent inspection of construction of a Main Data Processing Center.
Costa Rica Government Purchase 2014LN-000006-0005900001 [LN]:
"Consulting for Construction if CPDF main data processing Center."
This Public Tender is for the hire of specialized consulting services for the design, inspection and certification of the new National Register CPDF. The scope of this contract must cover the various stages of design, and inspection so that the bidder guarantees as a final product the design of the CPDP with a level of availability of the Uptime Institute Tier IV and / or a level equivalent to International Computer Room Experts Association (ICREA-Std-131-2009).
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