downloadThe organizational success is largely influenced with in-place IT infrastructure. With ever-increasing business demands and moribund money resources, it is always a challenge for CIOs to improve productivity of an organization in a value effective manner.

In traditional models, IT operations are managed through static tools and manpower, adding up to 40+% expenses. Most businesses tied up with these linear models face administrative overheads and operational challenges.

With increasing complexity of IT environments and it is becoming difficult to match pace manually -thereby driving need for automation. There is a requirement for next generation automation tools, which aligns IT infrastructure with company�s business goals.

Over the last 4 decades, there has been drastic change in data models and it has evolved through chaotic, reactive, proactive, and managed to the current utility phase. Traditional models are reducing their face value, because customers are veering through cloud-centric models, which make IT work on demand and reduce risks and associated costs.

Owing to customer requirements, service providers are driven to adopt Infrastructure-as-a-Utility phase providing service-centric approach with aligned delivery capabilities. This transition not only brings a significant shift, but also adds to the complexity by overburdening data centers and understaffing is another major challenge. At the same time, ensuring maximum uptime for IT infrastructure is necessary, too. As per reports of Ponemon Institute, an organization roughly shells out $5000/per minute of an outage.

CIOs are struggling to cope with inability of inherent infrastructure to match pace with increasing business demands and agile IT processes are also adding fuel to the fire. CIOs need to change IT infrastructure considerably, if they wish to minimize costs accumulated by IT sprawl, regulate operational flexibility and veer towards strategic initiatives and innovation by discarding routine maintenance requirements.

CIOs can turn data centers into a reliable business asset through automating IT infrastructure and employing analytics. By doing so, CIOs can size down IT infrastructure costs by 40%. Reliability of an infrastructure can be improved through automated self-healing, predictive analysis, self-service and freeing up resources, which also boosts productivity.

It is totally dependent on CIOS whether they want to harness these tools to drive profitability of an organization.