Sunday, November 1, 2015

Software has become one of the most important assets – Dutch IT channel

The term Big Data is now being regularly abused by companies to attract attention. Understandable, but as with cloud computing, big data is more than just a hype. It is a trend that has big impact – and will have – on the way companies operate. What can you do with big data?

Michiel Toes, CTO at SMT and also one of the founders, who focus on this question. He helps with his colleagues clients who stuck with any problems or questions regarding the availability, performance or security of their services and which fail to solve this quickly.

“I have a new role assumed the role of CTO. That’s part of the transition that SMT undergoing since 2.5 years, “said Toes. “We have undergone a change and now focuses not on selling a product, but troubleshooting. We can very nicely tell you what you can with a given tool, but we want to focus on the problems at the customer. From there, which solution suits the customer. “

SMT supplies and implements technology (software) to optimize the availability, performance and security of business-critical infrastructures and applications. “This means that companies knock us having to do with bad customer experience or who for instance worry about the security,” Toes explains. Software is everything in today’s business world. Toes therefore talks of “software defined business. “Parking we regulate have an app, messages we do online, and companies like Uber and Airbnb barely inventory because the software is the most important asset.”

Step by Step

The power of SMT is to collect and analyze raw unstructured data, such as log files. This is also known as machine data. The company works together with leading platforms in the world that focuses on data and which are very open as Splunk and AppDynamics. “First let’s see what the problem is with one client and which data we need and then we go step by step to get started. The data is often already, otherwise we can ensure that the data comes with tools. “Then you go look at the data, for instance for patterns.

Toes gives an example of the University of Maastricht who once had a problem with the mail server. The server was out. After two days the problem was still not solved. Using Splunk software, the data was analyzed and the problem was found within two hours, Toes says proudly. “There was an employee being infected with malware after criminals had used the university’s server to send spam as a result, the mail server of the University blacklisted by Spamhaus ended and was blocked.” Since that time the university much tighter screened for certain keywords and patterns, to prevent recurrence of such an incident. We set the platform, let the data catching up after the problem often in hours (instead of days or weeks) has been resolved, according to Toes.

Customer Experience

But it is not just businesses that are struggling with security incidents. “A bad customer experience can also play internally. Employees who can not, for example in a particular application. “The problem is that many companies have a complex IT infrastructure combined with a proliferation of management tools. About 10 percent of companies have more than 100 tools in use, which are often organized in silos. The result is that many organizations struggle to quickly access their business data and use as needed. “We can help them with that.”

Intervention with big data

“Data is often multi context. For several departments, the data therefore relevant and interesting, such as security teams, but also marketing teams and management. “Simple can offer real-time management information via management dashboards is therefore an important added value, you will Toes. “Senior management can steer with them on KPIs and monitor the service and where improvement needs. This contributes to a wider acceptance of the project and provides better results.”

SMT sees within organizations regularly snowballed performance . Other people see inside the organization value and want access to the dashboards. Technically, it can be easily realized, doing all we naturally with the processes and regulations as applicable to the customer. We of course take into with. Ultimately, the point is that we organizations gradually helping to existing company data better and more efficient use to optimize their services.

Lift Date

Michiel Toes mentions another example of an American company that has achieved successful value from data As a real estate company wanted to optimize the rental storey office towers Their question was:.. How can I see on the basis of data when tenants will terminate or extend their agreement. Therefore the lift data is analyzed including details of how often someone on a certain floor stops. Based on these data can predict the real estate business or customers will cancel their contract, extend or perhaps expand. They use these data now to support their business so they instance rather to be entering a new tenant search and thus minimize vacancies.

Such value from data, is now largely man-made. “We are now working on machine learning, as it is for people no longer possible by terabytes struggling to data in search of answers. You still creative people need. But that is complemented by machine learning processes,” explains Toes .

What you want in the end, is the realization of business value. In other words, what does the big data approach concretely. For example, faster problem resolution, better performance or more efficient, but in terms of the impact on the final business. For many organizations this is still somewhat premature. “What we find is that many companies know what they want, but they are not yet ready,” observes Toes. “Therefore, a step-by-step approach well: beginning with the data for a specific application and go then there set to work It’s like someone without a license who wants to drive a Ferrari Just put yourself first get your license.. , add possibly a slip course at once and then go into the sports car driving “

Author:. Edwin Feldmann

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