Scalability has become a critical source of competitive advantage, whether it's the flexibility to meet a spike in website traffic or being able to provision cloud storage on demand to accommodate a rapidly growing volume of information. The latter is one of the reasons that the energy sector has shown increased interest in cloud computing, according to a recent Computerworld blog post written by Richard Holsman, managing director for Accenture.
"Today, energy companies have to manage and make sense of an unprecedented and ever-expanding mass of 'big data'. Cloud computing provides companies with access to transformational, new real-time data and analytical capabilities, underpinned by supercomputing power and massive storage capacity," Holsman wrote.
Many critical IT tasks for energy organizations are data intensive. Cloud storage solutions can facilitate predictive data analysis of seismic information, which could be critical in disaster preparedness. Holsman also suggested that oil and gas companies may be able to lower their environmental impact through cloud-powered analytics. The technology would create the advantage of bringing together data from many disparate sources into an integrated, scalable platform. As a result of this burgeoning interest, cloud storage companies are likely to see greater demand from the energy sector, particularly as the need for scalable infrastructure increases.
Despite the rising interest in data analytics, many companies are struggling to effectively manage all of their information. A report from managed services provider Rimes explored the issue, noting that one of the problems stems from a lack of effective governance practices. As organizations collect increasingly diverse data in larger volumes, redundant data and old applications are left to consume resources. This can add to the cost of managing those IT resources, particularly as they migrate to cloud storage environments. Service providers may benefit from offering built-in management tools or allowing for integration of such tools within their own cloud environments, which would limit the risk of application and data sprawl.