10 Ways Big Data is Impacting Your Business
By Bob Glitch on Apr 30, 2015
The Big data timeline can be traced as far back as the 1930s’ and discussions around big data have been buzzing in the news in recent years. Here is an outline of a few of the ways it will impact your business today. Let’s start with Gartner’s definition of Big Data: Gartner states that Big Data is high-volume, high-velocity and high-variety information assets that demand cost-effective, innovative forms of information processing, for enhanced insight and decision making, (or the 3 V’s). Here is my takeaway on how Big Data is making a difference.
10 Ways Big Data is Making a Difference in Today’s Business World
- It is starting to gain a strong following. Your company is starting to spend more resources on Big Data management
- It’s ever-changing – Gartner states that Big Data is growing at a staggering rate
- Drives all of the decisions made by all levels of management
- Best practices need to be repeatable. Best practices need to be applied to all functional areas within your company
- Cannot be “Dirty Data.” Gartner states that up to 25% of data in your ERP system may be dirty data, which may lead to dirty decisions
- It involves everyone in your company, and everyone contributes to the Big Data load in your ERP system
- Needs to be reliable and viewed as accurate
- Has to be Governed. Your company needs a way to validate its Big Data
- It’s ever growing and your solution to managing it does not need to be ever growing
- It encompasses everyone. Your solution to Big Data needs to incorporate both Business and IT
As you can see, Big Data is changing the way we look at business operations, involving everyone in the business and is ever growing. The sooner you start to look for a way to manage your Big Data needs, the better. Below is my solution to today’s Big Data challenges; I call it Winshuttle.
- Widely accepted – Everyone needs to see that it matters
- Innovative – it’s ever-evolving and your solution to managing it should be too
- Now – it needs to be accurate as of this second and validated before it goes into SAP
- Shareable – Big Data best practices need to be shared by Business and IT
- Habit Forming – (Well, Non-Habit Forming) it needs to be clean
- Utilized – Your solution needs to include everyone
- Trusted – Needs to be accurate
- Measurable – You need to be able to test and rely on it with proven results
- Lean – It may not be “lean” but how you approach and manage it should be
- Easy – Best practices need to be easily implemented and accepted
In my opinion, according to Gartner’s rule of the 3 V’s (volume, velocity, and variety), Winshuttle gives a solution for the cost-effective, innovative forms of information processing. When clean “Big Data” goes in, better decisions come out.
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