Is Fear of the Mega Project Holding Your Data Hostage?

"Infrastructure overhaul,” “multi-year project,” “million-dollar price tag”—these are just a few key terms guaranteed to stall a data integration discussion. Once they enter the conversation, walls go up, hedging sets in, and beads of sweat begin to gather on the foreheads in the room. 
Too often the initially quoted size, length, and cost of such a project goes unquestioned. Businesses fall victim to this blunder when it comes to elements of their digital transformation.

Is your business avoiding important data integration initiatives because the project cost and scope are just too large?

If the answer is yes, you need to know there are ways to achieve data integration without tackling a megaproject. It’s time to take a serious look at how your company is going to harness the power of data. 

Instant Gratification Demands Fast Data

Getting the most out of your data means putting it to work. Today’s business are aware they need to manage the wealth of information coming into their systems, a.k.a. “Big Data.” But just managing Big Data isn’t enough.  It needs to be converted into Fast Data. Fast Data is created by immediately applying analytics to incoming data and making it actionable. 

Companies are working to convert their Big Data into Fast Data because we live in the age of “now”.  
Internal and external customers demand instant results and responses. 
Inventory management requires knowledge of what is on hand and where it’s located. 
Companies need to provide customers with information at the precise moment of an online buy. 

Many companies face a constant influx of data coming at them through a variety of different channels. The ecommerce industry alone, which already manages countless streams of customer data from all over the globe, is projected to grow by 8 to 12% in 2017. This will naturally cause an increase in the amount of data that needs to be managed. IT infrastructures are striving to keep up, but older methods of data management and analysis are just too sluggish. Without the right architecture, data can get stuck at the point of entry and fail to be routed where it is needed most.

The Event-Driven Solution

Event-driven architecture uses real-time, automatic functionality to manage a company’s data and processes. It essentially means that any time a business receives data, it is immediately processed and acted upon. Using an event-driven architecture model as part of your data integration strategy kicks data management up a notch, making it more agile, flexible, and scalable.  

Often when a business looks into converting old architecture into something event-driven, they can be quoted megaproject timelines and hefty price tags. This slows progress significantly. However, there are alternatives. Using an integration platform as a service (iPaaS), like Globalscape’s Kenetix, enables businesses to establish an event-driven architecture faster than any other solution. Kenetix uses an easily implemented platform that quickly connects data across legacy systems and cloud applications. Rapid implementation reduces project timelines to days or weeks instead of months or years. Once your data integration goals seem more attainable, there’s really nothing holding your company back from exercising the power of its data.