Data lineage is extremely important since unknowns in the data flow are a root cause of enterprise risk. Enterprise Risk Management and Data Governance professionals are teaming up to implement the “Three Lines of Defense” model (3LOD). The goal of 3LOD is to provide an early detection and risk mitigation warning system. Line 1 includes Management […]
The Ideal Data Fabric Architecture for Business Transformation
Data fabric is redefining enterprise data management by connecting distributed data sources, offering speedy data access, and strengthening data quality and governance. Many enterprises are already extracting business-relevant intelligence by putting their data to work through an efficient data fabric architecture. This article gives an expert outlook on the key ingredients that go into building […]
Expanding Data Governance into the Future
Shortened time frames to leverage business insights and navigate data privacy and ethics call for the next generation of Data Governance (DG). This DG describes a collaborative, thoughtful, long-term framework consisting of processes managing trusted data assets across the organization. Kelle O’Neal, Founder, and CEO of First San Francisco Partners, sees a need to make firms […]
Semantic Technology Trends in 2022
Semantic technology trends are expanding well beyond an interesting, more advanced search engine. Besides providing scientists with a more functional search engine, semantic technology is now being used to improve artificial intelligence and machine learning. Semantic technology uses a variety of tools and methods designed to add “meaning” to a computer’s understanding of data. When […]
Guide to Building a Data Strategy Framework
Your data strategy is only as good as the framework supporting it. If you don’t have a framework in the first place, you won’t have a strategy. This isn’t something that is necessarily complicated to plan out, but it can be confusing to know what exactly constitutes a good data foundation. With that in mind, below […]
10 Key Data Mining Challenges in NLP and Their Solutions
Even as we grow in our ability to extract vital information from big data, the scientific community still faces roadblocks that pose major data mining challenges. In this article, we will discuss 10 key issues that we face in modern data mining and their possible solutions. 1. Heterogeneous Data Data can be of low quality, […]
How Analytics Shapes Our Music Tastes in the Era of Digital Streaming
Next in our blog series exploring interesting analytics use cases, we examine how machine learning algorithms dictate the music we listen to every day. In 2019, the music streaming market was valued at $12,831.2 million – a figure that’s expected to nearly double by 2027. Music streaming has become the most popular medium for music consumption, significantly outperforming […]
Knowledge Graph Standards in Ambient Computing
Ambient computing is a broad term that describes an environment of smart devices, data, AI decisions, and human activity that enables computer actions alongside everyday life, without the need for direct human commands or intervention. Ambient computing represents an unparalleled opportunity to enhance almost every sphere of society – from the professional to the personal. And in […]
Data Governance Without Security Leaves Sensitive Data Exposed
“Data Governance” is such an interesting term. As data started becoming more critical to business in the last few years, this idea was introduced to define the business processes necessary to comply with regulatory requirements. But even more recently, heightened regulatory attention with GDPR and CCPA in 2018, persistent PII data breaches, and data centralization across enterprises have created […]
What Every Business Leader Needs to Know About Data Modeling
The COVID-19 pandemic has meant that data-driven decisions have influenced all our lives over the last two years. But decisions made without proper data foundations, such as well-constructed and updated data models, can lead to potentially disastrous results. For example, the Imperial College London epidemiology data model was used by the U.K. Government in 2020 […]