While migrating to the cloud provides massive opportunities for many businesses, making a move can be a logistically complex process that requires unique skills and knowledge to ensure technical challenges can be overcome. Unfortunately, finding individuals with cloud expertise is rarely an easy experience due to increased demand.
The success of a cloud migration often hinges on the human element. No matter what preparations an organization has made, adoption resistance and an unwillingness for employees or other members of management to change will ultimately result in failure.
The business landscape is changing in modern times, and organizations now have to account for remote workers, diverse office locations, and countless tools and software options. While this may signify that newer, better opportunities are on the horizon, it also creates new challenges for business leaders and struggling IT departments that find it challenging to keep up with fast-paced technology requirements.
One of the most pressing challenges modern CSOs face today is how to secure a data center best. Although protection from external threats is often the focus, internal threats could be just as devastating. To put this into perspective, a 2019 Cost of a Data Breach Report stressed that internal threats and system glitches are often accountable for half of the data breaches that occur.
Did you know that nearly 600 zettabytes of new data get created annually? Although this number may already seem incredibly large, it is actually around 200% more traffic than current data centers were able to process in 2018.
For most businesses, stellar customer care begins by creating a strong bond between pre-defined efforts to provide quality support and learning from past issues or challenges.
The challenges organizations face with maintaining their own IT infrastructure has encouraged them to seek alternatives to meet their data and computing needs.
With so many companies today offering services and products over cloud-based networks, a dependable IT infrastructure is more crucial than ever. When a network goes down, companies are often left to muddle through a range of costly consequences.
Data Lifecycle Management (DLM) has become an important, yet overlooked, part of any IT business strategy in recent years. At its most basic level, DLM is a policy-driven approach that is often automated to ensure data is as useful as possible during its lifespan.