14 Jan, 2025
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8 Data Security Trends and Predictions for 2025

8 Data Security Trends and Predictions for 2025

3 Enterprise AI Trends To Watch For in 2025

3 Enterprise AI Trends To Watch For in 2025

Agentic AI and Generative AI: Understanding the Difference

Agentic AI and Generative AI: Understanding the Difference

Is data governance part of data management

Is Data Governance Part of Data Management?

Privacy Impact Analysis For Large Cloud Deployments

Privacy Impact Analysis For Large Cloud Deployments

Simplify Email Compliance and eDiscovery with SOLIXCloud Email Archiving

Simplify Email Compliance and eDiscovery with SOLIXCloud Email Archiving

The State of Cloud-driven Transformation

The world is increasingly moving towards the cloud, and cloud computing has emerged as a pivotal force driving business transformation across industries. This paradigm shift reshapes how organizations operate, innovate,…
Haricharaun Jayakumar

Full Data Lifecycle – What is it?

Data is the foundation of every modern organization, shaping decisions, driving innovation, and fueling day-to-day operations. However, the value of data isn’t static—it evolves from the moment it’s created to…
Vishnu Jayan

What’s the Best Way to Store Data for Decades or Centuries?

Preserving information for future generations has become both more critical and more challenging than ever before. As technology evolves at a breakneck pace, ensuring that our data remains accessible and…
Stephen Tallant

What are some common problems with data management?

Think of data management like a high-stakes game of chess. Every move counts, and missteps can cost you the match. Struggling with data issues? However, you’re not alone, many struggle…
Vishnu Jayan

Introducing Solix Common Data Platform 3.0

Introducing Solix Common Data Platform 3.0 – The cloud data management platform for Enterprise Archiving, Enterprise Data Lake, Consumer Data Privacy, and Enterprise AI. We are excited to announce the…
SOLIX ™ Technologies, Inc.

Understanding the Ins and Outs of Intelligent Document Data Extraction

Juhi Kaushal0

As we move to a digital future, businesses frequently process written, scanned, or digitally created documents such as invoices, checks, order forms, and bank statements. Traditionally a manual process, data extraction (capturing specific pieces of information from documents) will never become irrelevant. The data extraction market is expected to grow to $4.9 billion in 2027. And Gartner predicts 70% of organizations in 2025 will focus on innovative techniques to extract value from unstructured sources. However, the method by which businesses extract data has evolved—and there’s a new change that can simplify life for your company. (more)

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7 mins read

Decommission or Retire Legacy Applications to Make Room for Digital Transformation

Kalyan Manyam0

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)

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5 mins read

Enhance Your Data Life Cycle Management: Understanding the Stages and Best Practices of Data Lifecycle Management

Kalyan Manyam0

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)

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6 mins read

Data Retention Policies, Privacy Laws and Regulations: Best Practices Unpacked

Kalyan Manyam0

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)

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8 mins read

SAP Active Archiving: Improve SAP System Performance and Reduce Maintenance Costs with SAP ILM

Nitesh Roy0Tagged

Learn how SAP Archiving can help manage data growth, improve overall system performance and reduce costs.

The widespread adoption of SAP solutions within enterprises has led to exponential growth in data. But if left unchecked, this unmitigated data influx will stretch SAP system resources thin and degrade system performance, resulting in a loss of productivity and frustrated business users. Overcoming these issues requires prioritizing information lifecycle management (ILM). (more)

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5 mins read

SAP Application Retirement and Decommissioning: What Your Business Needs To Know

Nitesh Roy0

Your guide to SAP application retirement and decommissioning. Here are the best data retention strategies and what to consider.

Information technology has progressed by leaps and bounds over the last decade, and organizations have been modernizing their IT landscapes to keep pace. But this ongoing transformation has left many of these organizations dealing with rigid legacy applications—full of historic yet valuable data—while navigating a new digital landscape.(more)

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7 mins read