Enterprise Metadata Management

Highlights the Importance of Enterprise Metadata Management

MIAMI, FL – Over the past two decades, the digital transformation narrative has primarily revolved around the accumulation and analysis of data, spurring investment in tools designed to manage effectively ever-growing corporate datasets. While information is widely regarded as the most precious commodity in the new millennium, business leaders have come to realize that maximizing data usability and utility rests on the implementation of robust systems and strategies for managing metadata. Trevor Silver, founder and CEO of Exusia, comments, “It has become evident that metadata management is critical for enhancing the quality, consistency, and security of enterprise datasets. Proof of this realization is the strong outlook for the market, with spending on metadata management tools expected to rise from $6.3 billion to $15.1 billion between 2021 and 2026.”

According to Gartner, “Metadata is information that describes various facets of an information asset to improve its usability throughout its life cycle. It is metadata that turns information into an asset. Generally speaking, the more valuable the information asset, the more critical it is to manage the metadata about it because it is the metadata definition that provides the understanding that unlocks the value of data.” With new technologies and platforms constantly being adopted across enterprise environments, data sources and formats are becoming increasingly diverse, making it imperative to unify, organize, and manage the information inflows, according to Trevor Silver. He further notes that metadata management is critically important in the age of heightened privacy concerns, with numerous regulations requiring that companies ensure robust data governance to prevent unauthorized access and guarantee confidentiality. Moreover, data is essentially devoid of value unless its provenance can be traced so that its reliability and truthfulness are ascertained, which cannot be achieved without proper metadata management.

The problem so far has been the strict definition and narrow implementation of data warehouses and the applications associated with them. However, models based on a predetermined set of requirements for data structures are anything but optimal given that business organizations evolve. For this reason, data applications must also evolve, but changes typically entail major overhauls of existing functionalities. Trevor Silver explains, “Re-engineering efforts are costly and time-consuming, which makes the implementation of metadata management systems the best alternative. Through the integration of such tools into existing data platforms, enterprises can achieve the flexibility and scalability they need to avoid constant redevelopments as a result of changing requirements. This becomes all the more important in larger diversified organizations, where the problem is exacerbated by data silos. Such fragmentation can lead to inconsistent rules and analytics, affecting negatively the business performance and strategic goals of these companies.”

Trevor Silver, an analytics and data engineering expert with 20 years of professional experience, is the founder and CEO of Exusia. Launched in 2012, the New York City-based company has grown steadily under his leadership to become a premier provider of analytics, data engineering, and cloud computing solutions to operators in the healthcare, financial services, telecommunications, hospitality, entertainment, energy, and consumer products industries. Trevor Silver and Exusia have garnered praise from numerous trade publications for their commitment to client success and uncompromising service quality.

Contact Information:
Exusia, Inc.
Harpreet Mehta
Senior Director – Global Operations

SOURCE: Exusia, Inc.

As corporate data pools continue to expand at breakneck speed, companies are scrambling to find the data engineering and analytic talent they need to transform their information into valuable insights as quickly as possible.
The new millennium has brought remarkable advancements in technology, allowing enterprises to adopt innovative business models and providing them with sophisticated tools to improve daily operations and financial results. On the other hand, the massive accumulation of data has turned into a challenge as corporations struggle to derive benefits