The growth of technology and data has dramatically increased the importance of data in the modern world. Data is both the most significant asset and the biggest challenge for most corporations. Traditional forms of database delivery remain complex, costly, and time-consuming. Hence, enterprises require innovations to streamline and optimize their data management. This article discusses how database virtualization is transforming
The modern business world runs on data, and there is no denying the importance of data-driven decision-making. However, the sheer amount of data generated in today’s world can be overwhelming, and not everyone has the technical skills or job description to make sense of it. This is where data democratization comes into play. The goal of building a strategy to
Artificial intelligence (AI) is revolutionizing the financial sector, making banking more efficient and effective than ever before. However, the rapid advancement of AI has also raised concerns about how it is being developed and used. Banks must take responsibility for their role in the development of responsible AI and ensure they remain transparent in how they apply it. A new
Forced eviction has been a significant issue impacting low-income renters in the United States for many years. Facing the threat of eviction is a devastating experience for families who are already struggling to make ends meet, with many individuals unable to secure alternative housing in a timely manner. To help address this issue, researchers from the Penn State College of
Every organization has unstructured data, which is often referred to as the “junk drawer” of data due to its different file formats, varying sizes, and lack of clear organization. For IT professionals, managing unstructured data is a significant challenge as it can be difficult to analyze, store, and gain a complete picture of it. In this article, we’ll explore why
Data and analytics have become the backbone of the enterprise decision-making process, and as a result, enterprise investments in data and analytics are on the rise. Many organizations now recognize that they must invest in data and analytics to remain competitive and make informed decisions based on real-time data. However, with this increased investment, comes a number of challenges that
Environmental health and safety (EHS) is a critical aspect of any workplace. Organizations that prioritize workplace safety create a culture of safety, not just for their employees, but for the company as a whole. Thanks to modern data analytics and artificial intelligence (AI), EHS professionals can now leverage technology to streamline their workflows, automate repetitive tasks, and reduce employee injuries.
With data becoming a central piece of modern business operations, the need for efficient and effective data management is at an all-time high. Managing the vast amounts of information your organization collects and stores requires more than traditional data management tools. Enter active metadata management, a method of data management that leverages automation technologies to ensure that metadata is processed
The events industry has been steadily growing and has now become a significant part of the marketing mix. As such, the demand for smarter, data-driven solutions has also risen. Adobe, a leader in marketing software, has partnered with RainFocus, an event marketing technology company, to bring event marketing technology into its customer data platform. This partnership aims to boost marketing
Terminus launches Prospect Engine, a new data solution for go-to-market teams Terminus, a leading provider of account-based marketing (ABM) solutions, has announced the launch of its new data solution called Prospect Engine. This new offering is designed to help Go-To-Market (GTM) teams uncover high-quality accounts and contacts that are showing in-market buying signals but were previously unknown. In addition to
Data modeling plays a crucial role in contemporary data management and analytics. This process involves creating a conceptual representation of data objects, relationships, and rules that form a company’s data architecture. It enables businesses to design and implement data architectures intentionally, leading to optimized performance and increased efficiency. Data modeling remains relevant and is still growing despite advancements in technology.
Pricing optimization has become an increasingly important tool for businesses in today’s competitive market. The term “pricing optimization” refers to the practice of utilizing data-driven algorithms to determine the ideal prices for goods and services in order to maximize profits while minimizing losses. By using pricing optimization, businesses can gain a better understanding of the value customers place on their
