The Impact of Poor Data Quality (and How to Fix It)
The dangers of poor data quality can cause significant damage to a business. Poor-quality data can lead to poor customer relations, inaccurate analytics, and bad
The dangers of poor data quality can cause significant damage to a business. Poor-quality data can lead to poor customer relations, inaccurate analytics, and bad
Organizations generate metadata so quickly that it’s turning into today’s big data challenge. However, the best way and location to store all this information is
Other very useful areas within computer vision include image recognition and motion detection. In retail spaces, these tools can be particularly effective to count foot
In today’s world, data warehouses are a critical component of any organization’s technology ecosystem. They provide the backbone for a range of use cases such
A data retention policy is the first step in helping protect an organization’s data and avoid financial, civil, and criminal penalties that increasingly accompany poor
Storage as a Service is a cloud computing model that offers organizations scalable, flexible, and cost-effective storage solutions. The importance of effective data storage and
Moving away from the currently prevalent Big Data mindset towards a Small Data approach would help improve the sustainability of AI systems and would additionally
People waste technology. Most of us have an additional smartphone, tablet, laptop or perhaps an additional extraneous webcam, Bluetooth loudspeaker or some other device that
Data gravity is a term that has been gaining attention in recent years as more and more businesses are becoming data-driven. The concept of data
Data redundancy is a crucial tool in ensuring the reliability and availability of important data. In a world where data is constantly being generated and
Data is a core asset for every organization, whether it already serves business decision-making or will do so in the future. This is why cost-efficient
Edge computing refers to geographically locating infrastructure in proximity to where data is generated or consumed. Instead of pushing this data to a public or