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Navigating the Complexities of Enterprise Data Management with Cribl

September 23, 2024
Written by
Jackie McGuire's Image

Jackie McGuire is a Senior Market Strategy Manager at Cribl, focused on the security mark... Read Moreet. Prior to joining Cribl, Jackie was a Research Analyst with S&P Global, writing, speaking, and providing thought leadership on information security and Web3. Jackie has also worked as a data scientist in cybersecurity, developing behavior analysis and anomaly detection models, been co-founder, CEO, and CFO for several startups, and before her work in technology, was a licensed securities broker and SEC Registered Investment Advisor. Read Less

Categories: Learn

In today’s fast-paced digital landscape, enterprise data stands as both a critical asset and a potential liability. With data volumes expanding at an annual rate of 28% while budgets increase by only 7%, organizations face mounting challenges. The unpredictable nature of data value complicates decisions on what to store and where. Moreover, the rise of connected devices and evolving security threats further exacerbate the situation. On the flip side, failing to manage data properly can lead to significant visibility losses and security lapses, making effective data management crucial.

As businesses expand, their data reservoirs grow, often resulting in a tangled web of legacy systems and disparate data sources. Strategic data modernization is essential to overcome the inherent issues of data quality and compatibility. This involves a continuous process of upgrading or replacing outdated systems and refining data policies. Enterprise security is fundamentally tied to effective data management, requiring the right data to be collected, automated, and securely stored. Data portability also plays a crucial role, as proprietary formats can limit flexibility and hinder the response to potential risks.

Data modernization is not a one-time project but a perpetual cycle of evaluating and enhancing data processes and technologies. This is where a data maturity model becomes invaluable. It provides a structured roadmap, helping organizations assess their current state and prioritize their modernization efforts. Instead of aiming for a perfect system, the maturity model helps organizations progress step-by-step, making the journey more manageable and strategically focused.

Cribl Stream offers a powerful solution for modernizing data management. By automating data parsing and routing, Cribl Stream allows organizations to efficiently separate valuable data from less critical information. Valuable data can be directed to high-performance analytics tools, while less critical data can be stored in cost-effective solutions like Cribl Lake or S3 buckets. With Cribl Replay, organizations can later retrieve and reprocess this stored data as needed. This flexible, iterative approach ensures that data management is both cost-effective and strategic, enhancing overall data utility and security.

Come learn more about the value and impact data modernization can have today and into the future, join our webinar, “Design your roadmap for data modernization”. You can also explore Cribl for free up to 1 TB per day to discover how it can transform your data management strategy.

 

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