Socius

Three Ways to Battle the Complexity of Big Data

Email | Print

Experts have struggled for years in trying to simplify the complex supply chain and now Big Data has entered this complexity.  Big data can be a valuable asset, but it sometimes comes with a price.  IT departments are constantly battling with the collection of big data and data-accuracy.  Data mistakes occur more often than you think and bad data can lead to very poor business decisions.  Here are three ways to make sure that complex data works for you and not against you.

  1. Put someone in charge:  Managers blame employees for bad data, employees blame the IT department, and IT brings it back full circle to the managers who want to collect data.  Big data is a team effort and should be under the control of a handful of key players.  You need managers to decide what kind of data to collect, employees to provide input on the data-collection details, and the IT department to set up the framework, both software and technology.  Putting someone in charge of this team is also important.  The team leader can field questions, concerns, and handle mediation between the players.  You need a leader with a big picture view who can inspire the team to work together on the efforts needed to achieve the goal – controlling big data and using it to drive growth.
  2. Be picky and choose data worth collecting:  Why are you collecting so much data and what are you using it for?  If you answered, ‘because we have always done it this way’, then it may be best to start at square one.  The more data you collect, the more likely it is to get skewed, warped, or simply be wrong.  If you have many people entering and manipulating data, the higher the chance for mistakes.  Enter data into software one time and you should be fine.  If you have to enter it in the same, or different, software applications a second or third time, then you risk the chance for typos and data-entry errors.  The solution is to choose the data that is most critical to how you manage your business.  Skip the useless details and focus on the data that can help you make the decisions that drive growth.
  3. Use the right technology for the job:  The right enterprise resource planning (ERP) solution is needed to properly collect, store, and use big data.  Specialty software and spreadsheets do not have the ability to handle big data and will make a bad situation even worse.  There are comprehensive ERP software solutions tailored to your industry and to your specific operations.  In addition, most ERP software can be further customized to address your unique business needs today, and can be modified as your business needs change in the future.

Businesses that have a plan and the right technology to control big data, can gain valuable insight that can be used to grow your business.  Volumes of data aren’t always useful or helpful, and can actually lead you to make bad decisions.  Contact Socius for additional guidance on battling the complexity of big data.

By Socius, Microsoft Dynamics ERP Partner based out of Ohio

Related Posts



Ask This Expert a Question or Leave a Comment

Subscribe

By RSS:

Rss

Get New Posts:

Distribution Software Logo