There’s no longer any question about the advantages of the cloud; it’s simply an accepted part of the way organizations operate today.
And the biggest benefit companies have discovered in moving to the cloud is speed.
According to a report from Harvard Business Review, “Most cloud proponents today agree that cloud’s value comes not from cost savings but from speed. Organizations that cut the time between identifying a need for a new capability and delivering it are seeing a real advantage.”
The HBR report notes that 71% of survey respondents said the cloud has increased their business agility. They cited a faster time to market, faster decision-making, and quicker response to global clients as some of the greatest benefits.
Speed and agility are intricately related. As Tim Pickard said it in a recent Wired Innovation Insights blog post, “Risk, instability and volatility best describe the current business environment — a description which certainly doesn’t suit a fixed strategy.”
Being able to jump on an opportunity quickly, and adapt to a fast-changing business environment requires systems that are not only fast but also engineered to work together. And that comes from building an integrated infrastructure from the ground up, designed to boost performance, provide real-time analytics, and make the integration between the data center and the cloud absolutely seamless.
Third-party solution providers like Oracle Gold Partner Limepoint are helping businesses take advantage of Oracle’s infrastructure cloud services to gain a competitive advantage. For example, Goran Stankovski, a director at Limepoint, describes how his company’s Environment solution allows them to move their Oracle environment on or off the cloud depending on the customer’s requirements — with the ultimate goal of helping customers move products to market quickly and effectively. Goran describes it as helping customers deliver “speed to value.”
Real-Time Analytics Has Finally Become a Reality
Besides the cloud, advances in real-time analytics has been a major factor helping businesses move faster than ever before. Having information at their fingertips helps the decision-makers identify and immediately respond to malicious network attacks, analyze social media “trending” topics to jump on marketing opportunities, or use real-time order information to adjust manufacturing production lines.
The main obstacle to real-time analytics has been an infrastructure that requires a lot of moving data around and building indexes and objects like OLAP cubes. Traditionally, users had to store data in either column or row format. The column format is very efficient for analytics, but it creates large overheads in OLTP environments. Conversely, row format allows for extremely fast OLTP, but is less optimized for analytics.
We found a way to solve this problem with cloud-connecting engineered systems that completely redesign the architecture and move query processing into the same server that processes transactions. Combined with other optimization functions, we can now run queries at a rate of billions of rows per second for each CPU core. So analytics that used to take hours, or even days, can now happen in seconds.
Since our on-premise and cloud architectures are absolutely identical, businesses can move everything seamlessly between on-prem and cloud without having to rewrite code or deal with different APIs. So even if a business doesn’t have a complete cloud solution now, it can make the move to cloud without missing a step.
Together, the Cloud and Real-Time Analytics Answer the Need for Speed
With everyone in the cloud, it’s getting harder for businesses to gain a true competitive advantage. The answer lies in having a strategy that optimizes the best of the cloud and combines that with the power of a totally integrated infrastructure.
Every level of the technology stack and every business unit can now exchange data in real time, and the business decision-makers can use that data to see what’s happening as it happens — and respond at lightning speed. Learn more: