Biometrics, in its standard version (so-called physical), is a technology based on characteristic static data that is attributed to a single person only. It takes into account such elements as, for example, facial appearance, fingerprints or hand shape, and even the iris of the eye.
So what is behavioral biometrics responsible for? And why could it become the next element in the fight against fraud in e-commerce, finance and digital services?
Check out this article to learn about its definition, types, and application.
Accurate and consistent address data play a crucial role in the effective operation of companies and organizations. Address data standardization is an essential tool that allows for organizing customer data, avoiding errors, and ensuring consistency in databases. In this article, we will examine what address data standardization is, its components, the benefits it brings to businesses, its practical applications, and how to conduct an effective standardization process to ensure high-quality address data in an organization.
The precise location of a customer or user is an extremely valuable piece of information that can improve application performance, increase the quality of your analytics, increase the ROI of your marketing campaigns or detect fraud attempts. All this would not be possible without reverse geocoding technology. In this article, you will learn about this solution and how it can help you succeed in your business.
Do you often encounter situations in which customers, users or recipients provide incomplete or incorrect address data? Do you wonder if and how their behavior can affect your company's processes and overall business health?
In this article, we'll take a look at common problems with wrong address data, their scale, their effects on your business and ways to deal with them. We will use up-to-date market information from the first quarter of 2023.
Many consumers, sometimes unknowingly and sometimes with 100 percent premeditation, use incorrect personal information. Some of them use such false identities for criminal activities - especially financial abuses.
In a 24/7 digital ecosystem, data is generated at every point. Companies are recognizing that data is an integral part of goal-setting and other business decisions, and are using data in various ways to increase the efficiency of their business. Perhaps your company wants to start collecting data to achieve your organizational goals but does not know what data to collect and how to do it? Or maybe you are just wondering if it is worth collecting data with no specific objective because you think it might be useful in the future?
Big Data is one of the most popular buzzwords of the 21st century. It is reshaping how companies look at their data and what they chose to do with it. According to the Global Opportunity Analysis and Industry Forecast, 2021-2030, the global Big Data and Business Analytics market size is projected to reach $684.12 billion by 2030, growing at a CAGR of 13.5% from 2021 to 2030. But what is Big Data? And how can it help your business?
While the term ‘predictive analytics’ was born in 2003, the process itself is a lot older than we realize. From our day-to-day life to business proceedings, we’ve been using predictive analytics for a long time.
According to Forbes, 27% of business leaders confess that they are unsure about the accuracy of their data. Data is the raw material of any enterprise and having access to prime-quality data is essential for future decision-making. Data alone does not suffice; it must be transformed into actionable knowledge to make use of it - which can only happen if you have easy access to your quality datasets. Fortunately, with the right tools and techniques, this puzzle can be easily solved.
As defined by Gartner, dark data are ‘information assets organizations collect, process and store during regular business activities, but generally fail to use for other purposes’. Those “other purposes” include, e.g., analytics, Machine Learning, Business Intelligence, or monetizing.
For another year, the most common frauds in the finance sector are fraudulent loan and credit products, and as many as 80% of leasing companies perceive an increase in the risk of their occurrence compared to the previous year.
Algolytics’ partners and Snowflake customers will gain access to the first Polish spatial data on Snowflake’s Data Marketplace accelerating the support of Location Intelligence and Business Intelligence development.