The failure to centralize, cleanse, fortify, manage, and govern data makes it less transparent, more challenging to find, harder to control, and nearly impossible to incorporate.
To make a single customer view and deliver actionable insights, organizations must ensure that analytics data is more accurate. The questionable quality of information is frequently complicated by the physical and logical silos that separate users from the information they need to support their business functions. Users must often access multiple distinct data systems regularly to perform their tasks within a business.
Simply put, many organizations lack a central repository, often called a “Single Source of Truth,” in which data can be reconciled and aggregated for continuing business analytics. The lack of a Single Source of Truth leaves critical decisions in disarray. The consensus is principally about questioning the information’s quality and integrity, rather than creating the most significant strategic or tactical decisions based on the data.
By not centralizing, cleansing, managing, and regulating data results in disjointed interpretations of crucial business data, you prevent metadata’s ideal usage as a means of data categorization and classification.
Traditional enterprise data centers are often repositories for silos and disparate data sources, requiring time-consuming, hands-on management approaches by highly specialized IT staff. We’ve designed modern data centers to support agility and innovation. Valuing infrastructure standardization, data intelligence, and data centralization is key to delivering the highest quality data with referential value to the organization.
However, the centralization of data shouldn’t require physically centralizing it, and it shouldn’t matter where data resides in an organizational structure. Instead, the modern data center is all about facilitating a centralized form of control. By creating a centralized data hub, IT leaders can standardize data access, management, and governance and deliver greater convenience to users without compromising security or compliance.
Today’s datacenter focus is no longer on technology with centralized data access because the technology stack is so flexible. Instead, IT develops policies to meet regulations and requirements that protect the business and enables users to work with data in unique and insightful ways.
Creating a centralized data hub starts with the ingestion of data, including eliminating “digital debris” and the cleansing of flawed data.
Studies have shown that 76 percent of organizational data flaws were due to insufficient data entry by employees. These trends have continued in larger part due to the lack of effective Data Governance. It is much better to move data quality upstream and embed it into the business process, rather than catch flawed data downstream and then attempt to resolve the flaw in all the different applications used by other people.
Data is too essential to handle recklessly. Intelligent data governance is a must in the modern organization and a mandate for those who want to remain in business.
In the next post, we will take a look at metadata and how to make the most of it with your unstructured data.