Build, protect and deploy apps across any platform and mobile device
Leverage a complete UI toolbox for web, mobile and desktop development
Automate UI, load and performance testing for web, desktop and mobile
Rapidly develop, manage and deploy business apps, delivered as SaaS in the cloud
Build mobile apps for iOS, Android and Windows Phone
Optimize data integration with high-performance connectivity
Connect to any cloud or on-premise data source using a standard interface
Build engaging multi-channel web and digital experiences with intuitive web content management
Automate decision processes with a no-code business rules engine
Tony Fisher helps small and mid-sized business get started with their Big Data strategy.
Vice President of Data Collaboration and Integration at Progress® DataDirect®, Tony Fisher, has been making rounds on the web recently, talking to writers at Datanami, insideBIGDATA and Forbes. His message? No business is too small to harness Big Data. In fact, effective Big Data strategies need to start small.
“Big Data” can be a problematic term, especially for small or mid-sized businesses. It echoes terms like “Big Oil” and “Big Pharma” that are often used disparagingly toward the elite organizations sitting at the top of their industries. It can also imply complex, sprawling networks of unwieldy servers that require lots of resources to maintain. In reality Big Data simply refers to diverse, fast-changing and massive data sets that businesses of all sizes need to leverage in order to get a complete picture of their customers and their operations so they can start solving problems and make data-driven decisions.
“If you know what problem you are trying to solve, the technology is out there as well as the expertise,” Fisher tells Forbes. By taking this approach—identifying problems before searching for solutions—Big Data technologies are a lot less daunting. For those who still struggle after identifying their problems, it’s reassuring to know data connectivity experts at organizations like Progress are readily available.
On the flip side, it’s possible to be overzealous with your Big Data strategy and assume you need a total overhaul. The idea of wiping the slate clean and building a new system that meets your needs from the ground up can sound appealing at first, but it’s a bit like fixing something that isn’t broken. “You can’t get rid of the old stuff. You just can’t,” Fisher says in his Datanami spotlight. “Those people who say you need to get rid of everything whole hog are probably not people who are actually in the real world doing the work.”
Adopting an effective Big Data strategy takes a measured hand. Businesses should take a good look at the systems they already have in place and look for ways to supplement those systems rather than supplant them—retaining their heritage systems while embracing new solutions.
Last week, Fisher shared this anecdote with insideBIGDATA:
I have this neighbor that has a fantastic workshop and a wide array of top of the line tools. But his workshop is always a disaster with tools everywhere and the debris from past jobs everywhere and no sense of order to his tools. He had an inspired solution to this problem, build a bigger workshop. Now he has a big workshop that is always a disaster.
As is often the case, it helps to look before you leap. The “workshop problem”—assuming that bigger is automatically better—is extremely common and often disastrous as it only serves to make your problems grow. You need a Big Data strategy, but you also need to start small. Again, the process-driven approach of defining problems first, then finding solutions to those specific problems is the best practice for organizations interested in entering the Big Data arena.
Getting started with Big Data is easy—you just need to start small! Drop us a line to learn more, or check out our website for more information on our industry-leading suite of data connectivity solutions.
Jared Douglas is a Marketing Specialist at Progress, working on the DataDirect business. Since earning his Bachelor's degree at North Carolina State University, he has been responsible for coordinating content for the Data Connections blog and talking about the latest and greatest from the world of data connectivity and integration.
Copyright © 2017, Progress Software Corporation and/or its subsidiaries or affiliates.
All Rights Reserved.
Progress, Telerik, and certain product names used herein are trademarks or registered trademarks of Progress Software Corporation and/or one of its subsidiaries or affiliates in the U.S. and/or other countries. See Trademarks or appropriate markings.