In the ever-changing technology environment that we currently live in, it can be easy to get bogged down, both on the personal level and business level, trying to figure out how you can best implement the latest releases. Whether its a new phone or tablet or new Big Data software, its easy to get stuck.
For a company to succeed its got to figure out how it can leverage its current business position and products with the new Big Data platforms that are available. A sound understanding of how the technology can improve your product and your offerings is a must before actually going with the technology.
Because of all the hype that surrounds every new technology release, it can be easy to get caught up in the euphoria of the moment and immediately hop on the bandwagon with no real purpose or direction with what youre doing.
This is especially true with Big Data. In many respects, Big Data is extremely complex and difficult to understand, at least the technical aspects, by someone who comes from a non-data background.
All too often a CEO will hear of the abilities Big Data has and naturally, want to implement it into his or her business operations. The problem, however, is that the company doesnt have the right talent, the right culture, the right understanding and, possibly, the right technology to really make the most of Big Data.
When it comes to getting up and running with Big Data in your company and building your own dream team there are certain steps that need to be taken to ensure complete success.
1. Data needs to be a priority
If a company is going to succeed with Big Data, the entire company has to buy into the Big Data concept from top to bottom. Otherwise, people will get undercut, initiatives will get derailed, executives will clash and Big Data will go from help to hindrance very quickly.
The CEO sets the example and should expect everyone to follow. And while most CEOs arent going to come from data backgrounds, thats ok. Its not necessarily understanding the technical aspects that matter. Its clearly understanding what the technology can do for the company.
2. Implement the right technology
Big Data in the cloud is completely changing the availability and affordability of Big Data. In so many ways its making Big Data a real possibility for companies of all sizes. Theres no expensive infrastructure to install, no servers to maintain, no expensive startup costs and much more flexibility.
Additionally, cloud computing completely changes how CEOs look at building a data team. A Big-Data-as-a-Service provider does so much of the work on the data end that the companies dont have to worry as much about hiring large data teams full of individuals with advanced degrees in data science. What companies now have to worry about is hiring the right people.
3. Hire the right people
So, who are the right people? The right people come from any background, but they have a sound understanding of the importance of data and how it can help the company. Your business needs to find talented individuals who can find innovative ways to implement technology to solve your most difficult business solutions.
They dont have to understand exactly how the technology works, but they must understand how it can benefit you. Obviously, hiring the right people makes all the difference.
Its tempting to want to hire a large team of data scientists, but with Big Data in the cloud thats not what you need. The cloud service providers already have that team of scientists. If you hire more, its only going to make things more difficult. To succeed, the company needs smarts on how to best use the technology, starting with the CEO and going down.
In todays business environment, its more important than ever that companies get their data strategies right. A Big Data dream team takes time to assemble, but its worth every minute and every penny. Remember its understanding how technology can work for your company that will make all the difference.
