A successful cloud project is like conducting a symphony with every part of the musical composition played on-demand without a dedicated orchestra. To leverage this idea for a modern digital business, consider how enterprises are now using public clouds to advance an objective that improves business outcomes.
Having the ability to play the right instrument at the right time to achieve a musical objective is equivalent to having the right data at the right time to achieve the desired outcome. Because so much data is available to be used for decision-making, enterprises gain a competitive edge if they get insights faster and at a lower cost.
Mining vast amounts of historical and real-time data has become an imperative for most digital innovators. Insights from these vast sets of data determine the best ways to maximize, minimize, ignore, or address any particular event and achieve a digital business objective.
Google Cloud Platform (GCP), as one of the top public cloud providers for enterprises, has recently ramped up their offerings to appeal to more use cases such as using big data to gain insights and achieve a digital business objective.
Big Data and GCP
Deploying and managing big data environments on-premises requires quite an investment in capital expenditures as well as great talent to administer the environment. Many enterprises have painfully gone through this process only to find that their return on investment for this strategy was not going as planned.
In order to have the right environment to meet the needs of big data processing, IT must be able to forecast demand, allocate the resources ahead of time, and provision a heavy footprint of infrastructure to meet the demands of the job. Static pools of batch data with aging technologies and limited resources no longer serve today’s enterprises.
“As businesses transform into data-driven enterprises, data technologies and strategies need to start delivering value,” reports Thor Olavsrud, in this CIO article.
One of our hospitality customers uses GCP to host its on-demand big data processing. They are able to spin up a 50-node cluster of Apache Spark and Apache Hadoop clusters to do big data analytics that can advance their business. They can have a completely configured big data environment in a matter of minutes to run and turn off when it’s not needed. They can also scale to new demands without having to go through the resources allocation and provisioning process on premises. GCP lets them do exactly what they want when they want.
Big data analytics and insights typically help enterprises get a 360-degree view of customers and improve loyalty. The can be used to improve booking rates for hotels and other business outcomes that increase business revenue.
Join our upcoming webinar with Fatima Otori of GCP and Rick Kilcoyne of CloudBolt to see how to leverage big data with CloudBolt & GCP
