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Are We Ready to leverage Big Data and The IoT?

Source | LinkedIn : By Pete lanace

Social media, big data, cloud computing, smart sensors and mobility have all made things that weren’t possible just a few years ago into everyday occurrences.

Add to that the convergence of global trends and events that are fueling today’s

technological advances and enabling innovation, and you start to see some of the market and technology factors that are making the Internet of Things a reality.

The Internet of Things is creating new market opportunities and providing a competitive advantage for enterprise users in current markets, with new markets appearing almost daily.

The Internet of Things touches everything—not just the results you get, but also how those results are generated and used. The changes that have created the Internet of Things aren’t changes to the internet, but rather changes to the things connected to the internet, the devices and gateways on the edge of the network that are now able to request a service or start an action without human intervention.

The Internet of Things is a whole new way of thinking about the products and services your business provides. It represents a huge opportunity for manufacturers of devices, providers of services, and other businesses that can manage the wave of high-velocity data and find business value for their customers and their markets. On the other hand it adds another layer of complexity to both development and marketing teams. Coping with the complexity of today’s business landscape is not about predicting the future or reducing risk. It’s about building the capacity, in yourself, your people, and the organization to adapt continuously to change, in order to maximize the chances of seizing fleeting opportunities.

If you look out in the market, you’ll probably see two main camps: one highlighting all of the great outcomes that IoT will bring, and another focused on the technical details of sensors, communications protocols, security, and data management.

I would suggest if your enterprise has not yet embraced modelling please do. Don’t stop there make sure you have an enterprise architecture in place. Every enterprise should have an “as-is” architecture that represents its current state, and a planned architecture to show the direction of the business over the next one to five years. The shrinking time to market demand and growing system complexity make it almost impossible to manage the way we did yesterday. 

Enterprise architecture aligns the following key areas.

  • Business: Processes, strategies, organization charts, and functions
  • Information: Conceptual, logical and physical data models to show what information is needed and how it relates to other information
  • Application: Portfolios, interfaces, and services
  • Infrastructure: Network concept diagrams, technology reference models

To achieve alignment, you model each key area from its own perspective, and then link the models from each perspective. For example, model business processes from a business perspective. Do not include things like applications. Then, link the business processes to the applications that support them, which helps you achieve alignment. We do this to ensure that every decision is based on a business need; therefore, an application is not dictating the way a business process is designed.

Nowhere is this truer than in the manufacturing sector. The combination of the IoT’s, Big Data and smart sensors is driving the need for manufactures to reinvent themselves. They need to quickly grasp how they will deal with the wave of change about to hit them and how they will transform their operational and business process. The biggest change is caused by the growing market demand for more complex systems enabled by smart sensors and software. The challenge is compounded by the volumes of additional data being generated by these new smart devices requiring new analytics expertise.

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