19 May, 2024

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)

8 mins read

Mainframe Modernization: Why Do You Need It? And How Can Archiving Legacy Mainframe Applications Help?

The advancements in cloud, web technologies, and application architectures have ushered in a new era focused on the end users—the decentralized potential of this new computing technology advances us leaps and bounds beyond the capabilities of archaic legacy mainframe applications. But despite this, mainframe computing persists to this day. In fact, one recent IBM survey found 71% of executives say mainframe-based applications are central to their business strategy. (more)

7 mins read

Archive Everything

IT cost reduction objectives are upon us again, and every infrastructure manager knows that the data growth crisis is not only real, it is growing exponentially every day. The impact is severe because data growth 1) degrades the performance of production databases and file servers, 2) drives hardware upgrade requirements, 3) creates availability challenges during upgrade cycles 4) exposes the organization to legal liabilities, and 5) exacerbates the challenges of consumer data privacy and compliance. At the end of the day, IT cost is directly proportional to the amount of data under management. (more)

4 mins read

Beyond the Cost Savings of Application Decommissioning: Improved Efficiency

As organizations embrace newer, better technologies, the older applications have a tendency to pile up in the corner of the data center. This inefficiency is made worse as companies are acquired and transitioned onto the company standard applications. Eventually, they become costly to manage due to support fees for both software and hardware, data center charges, labor costs for application maintenance and backups, and labor costs for application support. However, the data contained within these inactive applications is still very important, so it must be stored somewhere. (more)

3 mins read

How to transform your company into a paperless organization

This year, consider embracing one of the biggest breakthroughs in office management: a clean, paperless organization with no impact on trees. Why? The switch saves you money in many ways, such as the cost of paper and printing, it streamlines document retrieval, and helps meet compliance requirements like GDPR. (more)

5 mins read

Enterprise application data tiering with Hadoop

With widespread digital transformation taking place in enterprises across the world, every CIO wants to know if their infrastructure will be able to handle the resulting data growth. In fact, Gartner in its research has presented that 47% of respondents ranked data growth as the #1 infrastructure challenge for data centers. When data sets become too large, application performance slows, and infrastructure struggles to keep up. Data growth drives increased cost, compliance, and complexity everywhere — including data center, performance, availability, maintenance, and even compliance. (more)

6 mins read

How to avoid tax audit disasters with print-and-archive

I was recently talking to a major distributor who had just gone through a tax audit nightmare. The taxes in question vary based on the location to which the goods were shipped. What should have been a straightforward audit turned into a complex, expensive process because in many cases the customer shipping addresses had changed over time, and the distributor’s ERP system, like most such systems, kept no historical records of those old addresses, so they could not guarantee that the invoices they generated for past shipments showed the actual shipping location. (more)

2 mins read