The use of specific software in your consultancy or agency can bring benefits on several levels.
First of all, the most obvious and evident one, which is the own and internal benefit of the business structure. If we use tools that can streamline daily procedures, we can work more efficiently and comfortably.
In this way, we can increase productivity, reduce costs and keep the staff happier by reducing their workload.
In order to bring our operations, processes and services under one single brand name, we have decided to transform CentralAmericaData and definitively integrate it into our global brand, PREDIK Data-Driven.
We will continue to provide the same services to our clients in Central America and Mexico, but under the new brand name.
The heat map is one of the most useful and powerful data analysis tools in business intelligence. It provides a visualization feature that presents multiple pieces of data in a way that makes immediate sense by assigning a different size and color.
New geographic information systems (GIS) allow us to see our complex world in a new way. With the right data sets, heat maps can be produced that show how different factors vary from one area to another. In recent years, several organizations have developed dynamic mapping systems that allow users to choose areas, data layers, filters, and presentation features. Read the complete article here
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.
Data has proven to be a competitive differentiator in different business sectors. The performance of any organization is highly correlated to the maturity of its data, so it's important to know in which level you are in this process.
What is Data Maturity?
Data maturity is a measure used to determine where a company's data quality, structure, distribution, security, and analytics are in their progress.
New data management methodologies now allow retailers to take advantage of even the smallest piece of information to generate valuable insights that help optimize their marketing and customer loyalty strategies.
What promotions do we do to get more customers to the point of sale?
How do we make them stay longer in the store?
How do we improve the customer experience so that they buy more at each visit?
The process of data monetization, a concept that until recently was present only in conversations between technology experts, is now one of the recurring topics in strategic meetings at the management level in companies.
What is Data Monetization?
The concept of data monetization refers to the process of extracting, cleaning and analyzing the millions of data generated within a company, with the purpose of obtaining a benefit or economic value. This value can range from using the information to create performance indicators of the company's own business and use them to optimize processes and make better strategic decisions, use it as input in the creation of other products or services, market it to third parties, share it with business partners, among others.
Artificial intelligence is the main driver of the change that companies are beginning to experience, which are already optimizing their business decision-making processes and strategies with algorithmic and predictive models.
The times are long gone when the term artificial intelligence was used and understood only by professionals in the technology world.
In the digital age, location intelligence and foot traffic analytics based on mobility data are changing the retail business, giving many retailers an edge over their competitors.
Location intelligence is defined as a methodology for understanding and visualizing mobility data to help solve a wide variety of retail problems.
Foot traffic analytics is derived from location intelligence, helping retailers to obtain a better understanding about how people move around physical locations and enabling new visibility into consumer behavior patterns by presenting a visualization of people's movement within a physical area, even segmented by the infinite type of consumers who pass near a store.
The National Commission of Banks and Insurance of Honduras tenders the renewal of Technical Support of TeamMate Solution for 150 Users and Migration to TeamMate+ for one year.
Honduras Government Purchase CNBS-LPN-GC-2021-006:
"The Commission's bid seeks to procure a variety of technical support.
The characteristics for the technical support renewal are as follows:
In Tegucigalpa, Honduras tenders for 106 private security guards and 220 video surveillance cameras for the Hospital Escuela, Peripheral Emergency Clinics and Mobile Hospital.
Honduras Government Purchase LPN No. 09-2021-HE-ASSPCM-HM:
"The total number of security guards is 106, the distribution in each hospital center, will be as follows:
By analyzing the large volumes of anonymous data generated by mobile devices, it is possible to establish whether a distribution center has a commercial relationship with other logistics complexes, and even with establishments that serve the end consumer.
Using the most advanced Big Data tools, it is possible to understand the behavior of the supply chains of companies in the retail sector, since by monitoring delivery parts and counting mutual visits between suppliers and vendors, it is possible to identify and establish which are the most important relationships between distribution centers and points of sale to the end consumer, such as stores.
Analyzing the number of consumers who visit the establishments of any retail company, establishing the days and hours of greatest affluence and comparing it with competing sales points, is possible with Big Data techniques that allow the collection and analysis of large volumes of mobility data.
The millions of anonymized data generated every second by cell phones in all markets around the world make it possible to make increasingly accurate estimates of the levels of customer traffic received by commercial establishments.
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.
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