In the modern world, data is the currency that drives businesses and organizations. Every organization today is looking to harness the power of data to make better-informed decisions. However, the question remains, how can data be utilized to make insightful and informed decisions? The answer to this question lies in the adoption of Contextual Decision Intelligence (CDI), a revolutionary technology
In today’s digital age, customer data is a crucial asset for any organization striving to remain competitive. Despite the plethora of information available, the challenge lies in collecting, processing, and analyzing this data efficiently to drive meaningful insights for marketing teams. This is where Customer Data Platforms (CDPs) play a central role in providing a unified system for optimizing, sharing,
In today’s digital world, data is often viewed as a valuable commodity and is frequently treated with the same care as other assets. Its importance in decision-making, planning, research, and strategizing cannot be overemphasized. However, there are two types of data that are essential in the management and analysis process: structured data and unstructured data. Structured data refers to information
In today’s world, where the customer is king, the importance of having a deep understanding of your customers cannot be overemphasized. This is where customer data platforms (CDPs) come in. A Customer Data Platform (CDP) takes the guessing out of marketing and customer experience efforts by consolidating all customer and touchpoint data, creating profiles, models, and insights, and then using
Have you ever received a marketing email addressed to someone else or been given an incorrect bill from a service provider? These seemingly benign incidents stem from the presence of “dirty data,” which is data that is inaccurate, incomplete, or inconsistent. Dirty data is like an invisible virus that plagues today’s business world, causing organizations to incur financial losses, waste
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.
