Change in the IT industry does not only come quickly; it is accelerating. We have reached a point in the IT industry where technology is not only revolutionizing what is possible, it is completely re-designing industries from the bottom up. We have discussed disruptive design a lot in the past (see our research on the topic here), but that is not the focus of this article. In this article, I will discuss how the IT change impacts today’s industries, and how those industries must move towards a data-centric model to continue being prosperous in tomorrow’s world.

Why Data?

Today’s buzzwords largely originate from the introduction of the cloud. The cloud gave the power of huge server warehouses to small- and mid-level companies, by introducing a pay-by-use model. To build a large data center, for example, a company only has to pay for what they use, as opposed to paying for a collection of machines (physical or virtual). Because of the introduction of cloud, everyone is now able to create cutting-edge, intensive, and scalable solutions with relative ease.

As a result of this accessibility, we begin to see huge interest in highly scalable technologies. Just analyze today’s buzzwords. The Internet of Things is notorious for providing huge quantities of data about an environment. Predictive and prescriptive analytics allow us to attempt to predict the future and make the best decisions based on those predictions. Artificial Intelligence learns from massive data sets, and applies that knowledge to never before seen problems.

Tomorrow’s world is all about data, and today’s companies should consider becoming data-centric to remain relevant.

Becoming Data-Centric

When we discuss data centricity, there are two primary approaches that can be taken.

Data Providers

On one hand, a company may specialize in data that is proprietary, or otherwise hard to acquire. An automotive manufacturer, for example, may put sensors in their cars that detect driving habits. Such data would be very lucrative to automotive insurance companies, who would use that data to better understand what driving habits indicate risky driving, or correlate with more frequent insurance claims. Another example is social networks like Facebook, which turns user data into advertising profit.

Data Consumers

Data consumers are companies that take large data sets and extract value from them. Healthcare companies, for example, can use health statistics and data to better respond to patient needs. Cities and governments can use social data to monitor, predict, and prevent increased crime by analyzing factors that lead to increased crime rates.

The IT industry continues to give us reason to reconsider how we approach our business models. Being successful in tomorrow’s world no longer  means having the best product at the best price. Instead, being able to provide robust data or turn big data sets into value will be a very lucrative business model. Companies looking to stay relevant will need to consider the importance of data centricity moving forward, or risk being left behind.

Michael Pumper AUTHOR:
Mike Pumper started his career with Sogeti in 2011. Since then, his career has rapidly accelerated both internally within Sogeti and at his clients. Through working with clients, Mike has gained experience in a variety of topics at many levels of expertise. He started his career at Baxter Healthcare as a Java / Spring developer, working closely with the business to develop a portal application. Mike started at National Merit Scholarship Corporation late in 2011 as a technical lead and solution architect, overseeing a small team that created a critical internal Java / Spring application that is still in use by the business today. After the completion of the Java / Spring application, National Merit embarked on an ambitious modernization project utilizing Microsoft technologies, including C# and WCF. The project is done in service oriented architecture, which Mike is in charge of managing and designing. Mike also continues to act as the technical lead, mentoring and leading a team of on-shore and off-shore resources as the project progresses. Internally, Mike has been committed to contributing to Sogeti’s excellence in any way he can. Mike took charge of reforming the technical interviewing process in Chicago in 2013, which gave interviewers more tools to ensure that recruits meet the Sogeti standard of quality. Mike has also given talks and lectures for Sogeti consultants and his clients on a variety of topics, including JavaScript, MVC, MVP, and MVVM, dependency injection, design patterns, N-Tier architecture, service oriented architecture, and continuous integration.

Posted in: Behaviour Driven Development, Big data, Business Intelligence, Data structure, Digital strategy, Innovation, Internet of Things, Technology Outlook      
Comments: 0
Tags: , , , , , , , , , ,