Unlock the Power of Unstructured Data with Cloud & AI
In today’s digital-first economy, data is the new currency. Yet, while enterprises have embraced structured data for analytics and insights, up to 90% of their data remains untapped in the form of unstructured data. Contracts, invoices, emails, videos, research reports, and customer interactions—these assets represent a goldmine of potential but are often relegated to seldom-used […]
The Promise of Data Fabric: Navigating the Future of Data Management
In an era where data is the lifeblood of enterprises, the concept of a Data Fabric has emerged as a beacon of efficiency and agility. This innovative architecture promises to streamline data management across diverse environments and enhance accessibility, security, and insights. As organizations grapple with the complexities of big data, the relevance and benefits […]
Global Trends In Context: International Long-Term Data Retention Regulations Discussed
Data retention compliance is challenging, regardless of the industry. Simplify and streamline your data management while improving regulation compliance
. Data retention—sometimes also referred to as record retention—is the storing and maintaining of data and records for a certain time period to meet business, audit, and compliance requirements. From keeping accurate financial records and complying with regulations to disaster recovery and feeding analytic engines, businesses depend on sound data retention policies to function optimally. (more)
Decommission or Retire Legacy Applications to Make Room for Digital Transformation
Legacy applications bog down digital transformation in many organizations. Businesses must modernize to stay competitive; using older apps can slow down and even hinder this process, wasting valuable resources—such as staff, money, and IT infrastructure—in the process. For this reason, CIOs, IT, and I& O leaders are under immense pressure to modernize and support digital initiatives with an intent to deliver transformational experiences for internal and external stakeholders.(more)
Enhance Your Data Life Cycle Management: Understanding the Stages and Best Practices of Data Lifecycle Management
Data lifecycle management secures, stores, and structures your valuable enterprise data to meet regulatory requirements and fulfill business information demands while optimizing infrastructure and costs.
As the world moves into a fully-digital future, the amount of data enterprises produce is growing astronomically. According to a Seagate report, the total amount of data generated by 2025 will accelerate exponentially to 175 zettabytes. No wonder we refer to this as the Information Age and to data as the new oil! However, this data must be reliable, accurate, and readily available when needed to be truly valuable. Data lifecycle management can help. (more)
Data Retention Policies, Privacy Laws and Regulations: Best Practices Unpacked
Data retention impacts your ability to comply with laws and the accessibility and performance of your data.
Your data retention policies define what data you need to retain or archive—and for how long—to meet business and compliance requirements. But in addition to addressing these requirements, these policies also contribute to improved data security, optimization of production systems, and reduced IT costs. Establishing a thorough data retention plan is an enterprise data management best practice. (more)