Pet shop owners need to apply location intelligence techniques and foot traffic analytics to identify consumer mobility patterns, in order to maximize sales and generate more efficient expansion models.
The correlation between foot traffic, sales, and the success of pet shops franchises have been studied and proven, so the development of this type of analysis has become a priority in the site selection process and expansion modeling.
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.
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.
More and more retail organizations are monetizing their data to increase revenue, boost productivity and optimize costs, enabling effective leveraging of assets, technology tools and external information to generate better results.
In the retail sector, data monetization is about making better informed decisions, increasing revenue and reducing costs from access to different types of stored, categorized and accessible data.
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.
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