Industries We Worked With

The relationship between the Earth’s ecology and the global economy is becoming more complicated every day, so you can develop an understanding of how your business is affected from start to finish. Through artificial intelligence and data, we can help you get answers that help you make production and pest management decisions

Banking institutions use data to reshape customer segmentation into a solution that works best for both the customer and the bank. Data analytics allows banks to examine large data sets to find patterns in customer behavior and preferences.

Identity fraud is one of the fastest growing forms of theft. With more than 16 million cases of identity theft in 2022, fraud protection is becoming increasingly important in the banking industry. Data analytics helps banks secure customer account information.

Business intelligence (BI) tools are used in banking to assess risk and prevent fraud. The information obtained from these tools determines interest rates according to your credit score and pinpoints fraudulent behavior, as well as helps to understand market trends, inform personal and industry-wide financial decisions, such as increasing debt control rates.

We help you to collect an d analyze data from any type of source you have or exist on the internet. Focusing on the data will help you turn it into useful information, analyzing and detecting trends. Your data are the different points of a graph and analytics is the information you get from studying those graphs

Today’s customer’s shopping process is complex, they go through many different points and channels, making it impossible to achieve optimal results by relying on guesswork. The use of data is crucial to the success of any advertising initiative.

Data analytics in advertising events involves the use of data generated from websites, social channels, software applications, mobile devices and third-party data sources to measure campaign performance and identify new opportunities. With data analytics, attribution, campaign optimization and resource allocation can be improved. Data analytics can help companies optimize resource allocation. It can determine which channels to invest more in and which to reduce, it also helps you to better identify what is likely to happen based on a number of different variables and iterate accordingly.

The demand for financial services among the general population has increased. The drive for financial inclusion in Mexico has expanded to target semi – urban and rural areas. Now is the time to invest in this new and growing market and we can help you, using ML and IA to reduce risks and make real – time predictions to react opportunely to the current changing market demands.

Healthcare companies have massive amounts of data and information, which can be analyzed and organized to achieve strategic effectiveness and operational efficiency.

In recent years, we have seen more industries embrace data analytics as they realize its importance. The restaurant and hospitality industries are not far behind.

This industry is rich in data. And the key to maintaining a competitive advantage comes down to “how to manage and analyze this data.”

With the changes taking place in the industry, data analytics can help gain meaningful insights that can redefine ho w everyone from small restaurants to large hotel chains alike conduct their decision making.

According to a Gartner report, more than two – thirds of insurers credit predictive analytics with reducing underwriting problems and expenses, and that it has helped them increase sales and profitability.

The inherent value of predictive analytics in the i nsurance industry is becoming increasingly apparent in countless applications. Through predictive analytics, data can be gathered from a variety of internal and external sources to better understand and predict policyholder behavior, better manage policyho lder relationships, claims and underwriting, and increase profitability.

Logistics has never been as compl ex as it is today. The global nature of the supply chain has created a constantly changing dynamic that can significantly affect a company’s profitability. An obvious example is the COVID pandemic. To respond to it, data analytics has helped manufacturers, shippers and retailers gain visibility into their operations and optimize them to cope with the unexpected.

Data – driven companies are indisputably increasing profit margins and customer satisfaction levels.

Because modern manufacturing shops can create bottlenecks in capturing and collecting real – time field information, and because legacy systems are time – consuming and error – prone, we help you alleviate these problems for good decision making. We help our customers address t he increasing complexities and uncertainties of manufacturing systems in globalized business environments.

Consumers want the right product and/or service at the right t ime and in the right way. We can help you get the most out of your data, modernizing it and obtaining better real – time decisions to attract and keep loyal customers.

By nature telecommunications companies have to be at the forefront wi th the constant change in technological advances, keeping up to date is a must for this type of industry.

The role of data analytics in telecommunications is to provide companies with the easiest way to discover insights from all of their data. Using a te lecom data analytics solution that helps a company gain better insights will generate more profits. This system will also allow the company to stay one step ahead of its competitors and better anticipate the needs of its customers.