In today’s digital age, data has become a critical asset for organizations across all industries. As businesses continue to generate and collect vast amounts of data, it has become increasingly important to manage, secure, and govern it effectively. With the rapid pace of technological advancement, the landscape of data management, data security, and data governance is constantly evolving.
In this blog, we will explore some of the upcoming changes in these areas and how they will impact organizations in the near future.
What Is Shaping the Future of Data Management, Data Security, and Data Governance?
With 2.5 quintillion bytes of data being collected every day, many of today’s organizations are struggling with what has become a monumental task — data management.
Data management has become an increasing priority as organizations try to address the challenges of this exponential growth of big data. New data management solutions are being implemented with the aim of greater cleansing, unification and security of data, allowing organizations to glean more actionable insights that inform business decisions.
Developments around data management to watch:
- Increased adoption of cloud-based data management: Cloud-based data management is becoming more popular due to its scalability, flexibility, and cost-effectiveness. Gartnerestimates that by 2025, more than “95% of new digital workloads will be deployed on cloud-native platforms.”
- Greater emphasis on data quality: As the importance of data-driven decision-making continues to grow, the need for high-quality data is becoming increasingly important. Organizations are expected to focus more on data quality management, including data cleansing, data profiling, and data validation.
- Integration of artificial intelligence (AI) and machine learning (ML) in data management: AI and ML can help automate tasks such as data classification, data cleansing, and data analysis. In 2023, developments in theseand other disruptive technologies like Internet of Things (IoT), and virtual and augmented reality (VR/AR) 5G will continue.
- The rise of the data fabric: A data fabric is a unified architecture that connects data from different sources, locations, and formats. It enables organizations to access and analyze data in real-time, regardless of where it is stored or how it is structured. The adoption of data fabrics is expected to increase, as it enables organizations to gain a more holistic view of their data.
Of course, these are just a few of the upcoming trends to look out for, as the data management discipline encompasses several components — including our next areas of focus, data security and data governance.
With the increasing number of data breaches and cyber attacks — at unprecedented levels in recent years — data security has become a top priority for organizations. Data nowadays comes from too many different sources, in multiple clouds, both at rest and in motion. Technological advancements are adding to the security problem, making it easier than ever for attackers to steal data or expose intellectual property.
Developments around data security to watch:
- Increased use of artificial intelligence (AI) and machine learning (ML) in cybersecurity: AI and ML technologies can help organizations detect and respond to cyber threats more quickly and effectively. These technologies are expected to be increasingly integrated into cybersecurity tools and solutions.
- Emphasis on endpoint security: With the rise of remote work and the use of mobile devices, endpoint security is becoming more important. Endpoint security solutions are designed to secure devices such as laptops, smartphones, and tablets, and protect them from cyber threats.
- More focus on data privacy: Data privacy is becoming an increasingly important issue, and organizations are expected to place a greater emphasis on protecting the privacy of their customers’ and employees’ data. This includes implementing stricter compliance regulations, adopting more advanced encryption techniques, and investing in cybersecurity solutions.
- Greater use of encryption: Encryption is a key component of data security, and its use is expected to increase. Encryption can help protect data from unauthorized access and ensure that sensitive information remains secure. While AI is providing new cybersecurity solutions, advancements in the technology along with quantum computing are also posing significant threats to the encryption methods heretofore considered “computationally secure.” New solutions in quantum-resistant encryption are expected to develop.
Data governance is another area of increasing priority for business leaders, especially given that organizations today must navigate increasingly complex regulatory environments that dictate how they can collect, use, and store communication data. Penalties for privacy infringements and lax data protection have become stiffer. Data leaders must now be more proactive in establishing effective data governance, determining which data will be gathered, the provenance of that data, who has access to it, where and how it will be stored.
Developments around data governance to watch:
- Increased collaboration between data governance and data security teams: Data governance is shifting towards a distributed model that delegates responsibilities. Data governance and data security teams are expected to collaborate more closely to ensure that data is properly managed, protected, and compliant with relevant regulations.
- Greater focus on data lineage: Data lineage provides a clear and detailed view of the data’s journey through an organization. It is expected that more organizations will focus on data lineage as a way to understand the source, transformation, and usage of their data.
- Adoption of automation and machine learning: Enforcing data governance manually is an outdated approach. Automation and machine learning technologies can help streamline data governance processes such as data quality management, data classification, and data cataloging.
- Greater emphasis on data privacy: Here again, as concerns over data privacy continue to grow, there is a greater focus on data governance frameworks that incorporate privacy regulations such as GDPR and CCPA. Regulations will only continue to tighten, meaning organizations need to create data governance models that ensure data compliance.
The ever-shifting landscape of data management, data security, and data governance means new technologies, trends, and best practices are emerging all the time. To keep pace with these changes, organizations need to stay informed about the latest developments and adopt new technologies and practices as needed. With the right tools and strategies, businesses can effectively manage their data, protect it from cyber threats, and ensure that it is properly governed and compliant with relevant regulations. A more secure, effective communication strategy is within reach.
Implementing More Secure Communications with a Trusted Security Partner
Finding a trusted security partner is an important forward step organizations can take towards implementing more secure communications amidst today’s complex data landscape.
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Stay ahead of the curve in 2023 and beyond — Contact a Theon expert to find out how you can upgrade your data security with the best encryption tools available today. We also have free eBooks available for download, including our latest, The Secure Enterprise Communication Handbook, which offers an overview of everything decision makers need to know to prepare a secure communication strategy.