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**Expert Tips to Identify and Act on Data Overload**
As companies continue to generate vast amounts of data, the challenge of managing and utilizing it effectively has become increasingly daunting. In fact, according to recent studies, the average organization is expected to generate over 175 zettabytes of data by 2025. While this influx of data presents significant opportunities for growth and innovation, it also poses a range of risks if not properly managed.
In this article, we will explore expert tips to identify and act on data overload. Our esteemed panelists, comprised of leading experts in the field, provide valuable insights on how companies can avoid the pitfalls of excessive data accumulation and optimize their storage solutions for better results.
**Tip 1: Eliminate Unnecessary Data**
Phil Portman emphasizes the importance of only collecting valuable data while setting clear retention rules to prevent unnecessary information from piling up. This approach ensures that your organization remains focused on what matters most.
**Tip 2: Integrate Advanced Identity and Access Management**
Craig Davies advises against over-reliance on manual processes, which can lead to security breaches. Instead, he recommends integrating advanced identity and access management solutions that employ AI-powered digital twins to streamline data controls.
**Tip 3: Identify Priority Data**
David Bennett argues that rather than focusing on the sheer volume of data, businesses should identify their priority data sets and align them with corporate KPIs and compliance requirements. This approach allows for informed decision-making around storage needs.
**Tip 4: Conduct a Data Audit and Revisit Retention Policy**
Yuriy Gnatyuk highlights the importance of auditing data retention policies to ensure quality over quantity. This exercise can reveal areas where improvement is needed, ultimately reducing costs and improving security.
**Tip 5: Optimize AI Deployments**
Vivek Jetley warns against underutilized or inefficient AI models, which can lead to skyrocketing storage costs. Experts recommend customizing and fine-tuning AI deployments for specialized tasks to achieve better results.
**Tip 6: Launch a ’90-Day Data Challenge’**
Balaji Dhamodharan presents an innovative approach by launching a temporary archival process to archive datasets not accessed in the past 90 days, then permanently delete unrequested archives after 30 days. This drastic measure encourages teams to rethink their data storage strategies.
**Tip 7: Categorize Collected Data**
Deepak Bhaskaran recommends categorizing each type of collected data based on its significance and retention requirements. By establishing clear policies for different data types, companies can avoid unnecessary duplication and deletion.
**Tip 8: Automate Data Collection, Analysis, and Management**
Alex Ford advocates for the elimination of manual processes in favor of automation. This approach not only enhances security but also streamlines digital client journeys and compliance efforts.
**Tip 9: Leverage Data Management Technologies**
Bruce Kornfeld highlights innovative solutions like thin provisioning, deduplication, and data thinning to automatically delete unnecessary information and reduce storage needs.
**Tip 10: Conduct a Full Data Analysis**
Carl D’Halluin stresses the importance of conducting a comprehensive data analysis to identify areas where data governance policies can be implemented. This exercise enables more efficient storage management and integrity maintenance.
**Tip 11: Simulate a Data Breach**
Kevin Korte concludes by emphasizing the need for simulated data breaches to test preparedness against potential attacks. If the results reveal unexplained or sensitive information, it’s time to re-examine collection practices and prioritize secure storage solutions.
By implementing these expert tips, companies can effectively address the issue of data overload, ensuring a more secure, efficient, and compliant business environment.
[Source: Forbes Accolades]
Source: http://www.forbes.com
