Mega Data Is the Tech Bully to Big Data

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One challenge businesses face is Big Data—it’s even been referred to as Mega Data, illustrating the scope of the problem. While it may be true that companies are drowning in historical Big Data issues, some of the problems may be self-inflicted.

Too Many Networks

Part of the problem may be that the enterprise has too many data networks to be efficient. This reduces your systems’ ability to react to data in real time, which slows down business. By the time slow data can be utilized, the customer has walked out of the store, the pricing window has closed, and the shipment has taken a longer route. Your business is running at database speeds. When you route data through different networks, you do not have the ability to draw connections from separate data streams until they all arrive in a central database. This means you get a delayed reflection of the business, rather than a real-time image.

In nearly every enterprise, there are at least three types of data: messages sent between the company’s systems, operations performed by these systems, and data created or captured by the systems.

Rearview Mirror Analytics

Messages sent between systems are the fundamentals of a service-oriented architecture. Essentially, this is the information that passes between systems on an enterprise service bus (ESB).

The operations these systems perform are usually put into a log file that is typically ignored until something needs to be audited. By turning these log entries into messages on the ESB, the entire company can respond to changes and disruptions more efficiently. Various systems in the enterprise usually save information and transfer it to a database. That database will later be analyzed by a business intelligence tool. While this rearview mirror analysis can be helpful, it is a slow response. On the ESB, all systems have immediate access to business information, allowing you to make the right response at the right time.

Once all three types of data are on the bus, complex event processing (CEP) can be used to make decisions at bus speeds. Your enterprise will no longer react slowly to business stimuli, but instead respond in real time to catch the customer and divert the shipment to the fastest route.