There are a slew of “in-style” technologies pulling business leaders in different directions these days. Instead of being pigeonholed into one option, businesses have the freedom to experiment and invest in any such technology that proves worthy. Cloud computing, social media and mobility are all possibilities. So, too, is big data analytics.
Some trigger-shy executives may be tempted to simply wait it out and see what’s left after the dust settles. Unfortunately, their jobs and companies can’t afford inaction in today’s hyper-competitive marketplace. Big data analytics adoption is an example of this effect.
Pre-cloud and post-cloud
According to InfoWorld contributor David Linthicum, cloud computing has divided the big data world. While executives within the field, like Amazon CTO Werner Vogels, see the cloud as a powerful big data enabler, others are not yet ready to embrace the cloud as a big data facilitator. Within five years, according to Linthicum, the cloud and big data will be a formidable duo but, for now, companies can enable their systems more effectively if they simply push forward with on-site versions. Linthicum also noted that a majority of the resources currently needed for effective analytics processes are already housed within the traditional data center.
So, if the pieces are in place for big data analytics, organizations can dive in locally now and worry about the cloud later. Linthicum recommended that companies base their first generation projects in on-site architecture. He also made a compelling case for launching these efforts now, as the price of hardware and software are relatively low. Moreover, there are fairly well-understood security and regulatory compliance processes for local deployments. The cloud may be intriguing, but the current status quo has its own immediate advantages.
The data is here
Businesses worrying that they may not have the raw data needed for effective analytics can breathe a sigh of relief. Modern infrastructure and progressive technology has ensured that most businesses are collecting critical data every day — whether they know it or not. Digitally tracking customer interactions — the customer journey — gives businesses powerful ways to better serve their customers. New, advanced big data solutions are making this possible and finally empowering businesses to truly understand their customers.
The current generation of big data analytics is based on context. Understanding the who, what, when, where, and why of business transactions can produce enormous insight. More importantly, being able to seamlessly integrate these transactions from different parts of the business can arm business leaders with critical intelligence they need to make smart investments and decisions.
This is not the future. This is now.
To learn more about OpTier’s Big Data Analytics solutions, check out our Big Data Solutions Brief or Contact Us.