Data management is the practice of collecting, organizing, and accessing data to support productivity, efficiency, and decision-making. It is a process of ingesting, storing, organizing, and maintaining data created and collected by an organization. Data management is essential for all companies, regardless of size or industry. It involves collecting, storing, analyzing and sharing data within a larger organization.
Leads and customers create tons of valuable information every day, but only 32% of that data is actually used to the benefit of the company. To maximize the potential of data, organizations need to have a robust data management strategy and a modern data management system. Data governance specifies how responsible individuals use processes and technologies to manage and protect data. Regulations such as the GDPR in Europe and the CCPA in California aim to give consumers greater control over their data and counter bad privacy practices.
Data virtualization uses data abstraction to create a unified view of data for customers, no matter where they reside. Product data can help marketers create better campaigns by providing a more complete picture of the features that current customers use most often. Data security and compliance are like insurance against the enormous financial and reputational damage that your company will suffer from data breaches and intentional or unintentional non-compliance. Before going straight to the deep end, describe the goals you want to achieve with company data.
With a CDP as the storage point for your data, you create a central source of truth for your customer information to which all teams can connect independently. As a result, data becomes an important business asset, while useful data entities can be efficiently stored, retrieved, and shared. Master data is critical business data related to customers, products, personnel, technologies, and materials. Determining which option is best for your business depends on where your data comes from and what you plan to do with it once collected. Predict more than you expect by estimating the equipment, data storage, storage space and processes your business will need in the coming years.
Whenever your employees need to learn a new tool that is part of their data management process, make sure they fully understand it. In conclusion, data management is an essential process for any organization that wants to maximize its potential. Data virtualization uses data abstraction to create a unified view of data for customers, no matter where they reside.
