Data quality has changed a lot over the years. In the beginning of the digital age, access to the Internet was much more limited, and the way people interacted with technology was vastly different. Now, with our smartphones and tablets, access to most things we want or need can be instant and with these new expectations, businesses have had to adapt to new challenges in regard to data quality.… Read More
Unprecedented access to player data warrants comprehensive strategy to elevate user experience, enable personalization at scale, and drive loyalty.
Rancho Santa Margarita, CALIF – February 8, 2023 – Melissa, a leading provider of global data quality, identity verification, and address management solutions, today cited data quality strategy as a competitive factor for online gaming leaders. With easy access to player data, gaming operators must take steps to ensure that only clean, correct, and enhanced customer data is used to inform and optimize the online gambling experience.… Read More
When customer data enters your system, how can you be sure it’s accurate and up to date? Unless your business has a process in place to manage customer data intake, that data is likely to be full of errors, such as wrong house numbers and postal codes. Like a domino effect, those mistakes in the beginning can cause all kinds of problems down the line – such as failed deliveries and poor decision making.… Read More
2022 has seen a sharp increase in the use of data-driven models for businesses. The data management and data analytics industry has grown tremendously. Given the current digital landscape, it doesn’t look like this pace is going to slow down any time soon.
As data becomes more important for decision-making, so does managing data quality and maintaining data privacy. Here are a few trends you can expect to see in 2023.… Read More
This is the age of data analytics. From establishing baselines and goals to measuring success, data plays a critical role across business operations. Unfortunately, not all data collected by organizations is put to use.
According to a 2020 data report, 68% of enterprise data goes unused. There are many factors contributing to this – data illiteracy, poor quality, siloed storage, etc.… Read More