As companies across the globe contend with an increasing threat of cyber-security attacks, best practices for network data management are shifting to focus on one critical area: data loss prevention (DLP). In response to heavy data losses, data management professionals are ramping up efforts to secure corporate and organizational data.
Data loss comes with a price tag. Financial estimates for 2017 suggest that the total global cost of data loss exceeded $1.5 trillion. A majority of organizations surveyed by EMC Corporation responded that they “were not fully confident in their abilities” to recover information following an intrusion, breach, or loss. The statistic is a troubling reminder that emphasizes how far data management teams still have to go to ensure minimal risk for data, clients, and corporate earnings.
In addition to corporate data, sensitive military, government, and other organizational information are at risk. Among the highest priorities for management in 2018, DLP will likely be the number one concern for organizations around the globe as they try to grapple with safe data collection, transmission, and storage. From data center architecture to security software applications, network data management specialists are working on best practices to keep cyber-intruders at bay.
Update the Warehouse
Three years ago, IT and network management teams began to address the question of how to upgrade outdated data warehouses. Seen as a high-risk for data loss, the core component of business and organizational intelligence continues to be a critical-area focus at the beginning of 2018.
Advancing technologies, like Hadoop and NoSQL software, new hardware, and user techniques, will support the continued rapid pace of modernization efforts. By focusing on an improved warehouse design, platform, and technology, users can typically expect:
Superior security and quality
Improved business intelligence capabilities
More reliable and quicker access to data
Reducing warehousing vulnerabilities is one of the best practices to address the heightened demand for DLP and other cyber-security concerns.
Protect Internet-of-Things (IoT) Data
As more and more devices connect to organizational networks, data management professionals must expand their focus to include those non-traditional concerns that may create new security risks. Data collected and shared by IoT devices is often at the forefront of discussions related to collection or analytics. What is often overlooked are the devices themselves that are functional components of the larger network, but frequently lack complex security protocols.
Ensuring complete network protection to reduce the incidence of DLP includes measures to address IoT devices and data. With vital data floating about in the cloud, IoT devices and data must move to the forefront of an ever-expanding security front-line.
Security in any environment demands a 360° view of business and organizational operations. In the physical environment, this means towers, cameras, and patrols, but in the cyber-landscape of network data management, a comprehensive view can be more difficult to achieve. Efficient best practices can help lead to increased security and a reduced risk of data loss.
Implementing a complete data governance strategy and architecture is the first step in creating an efficient environment. Discordant data, poorly used resources, and data overload all contribute to vulnerabilities in network infrastructure.
The professionals at Titanium Cobra Solutions can help streamline user processes and network architecture. With careful expert analysis, they can recommend and help implement best practices to keep data flowing. Join the many successful organizations that rely on safe and effective network data management specialists to reduce risks and loss.