By: Natasha Doucas
Bad data is typically categorized as erroneous, duplicate, personal or sensitive in nature, but there’s more to it than that. Bad data can also be defined as anything that is stored in an outdated or non-functional legacy software, kept for the purposes of record keeping. Whether it’s the nature of its contents or how it’s being stored, most organizations are increasingly faced with managing the complexities of bad data. What’s worse, the practice of retaining dirty data can cost organizations billions of dollars each year if they are in violation of information and data management policies and procedures.
It is often unclear whose job it is to properly manage all the data that exists in an organization. Most rely on their IT or records management departments to perform this function, but the reality is that it’s everyone’s responsibility. Every employee plays a role in contributing to the data deluge that organizations are faced with and therefore are critical in addressing the problem successfully.
It is important to recognize why clean data is monumental for everyone at your organization. Here are the top five reasons it’s time to contribute to clean data efforts:

Increase productivity and lower your operational risk

Organizations are creating more and more information with email, instant messaging, social media, images and video – and that list only continues to grow. The information is disorganized and difficult, if not impossible to analyze, yet the data holds incredible value for IT analysts. Two years ago, IDC estimated that by 2020, 37 per cent of unstructured data would be useful if properly analyzed, resulting in $430 billion in productivity gains for organizations if properly utilized. Now, it is believed that as much as 80 per cent  of worldwide data will be unstructured by 2025. Properly managing this data improves your ability to locate documents when you need them.

Improve your capacity to leverage technology and uncover potential value

We all know the phrase “keep it simple,” however, the mantra can sometimes seem impossible to implement in the world of mass data volumes. The truth is, the simpler your data is classified, the easier it is to leverage technology around it. Once properly categorized, AI technology can give you an even more comprehensive understanding of your data, resolve data leaks of personal information and uncover business insights and potential value in the costly dark data you are storing — and not using.

Mitigate your cyber security risk to help keep your brand protected

Guarding your organization’s brand identity is crucial to remaining competitive in any industry. Any breach of company data or personal customer information significantly decreases consumers’ trust in that organization which will impact its bottom line. In fact, a 2020 IBM study shows that the average time for an organization to even detect a breach is 207 days. Structuring your data mitigates the risk of a data breach and maintains your company’s brand reputation.

Improve data literacy among your stakeholders 

Imagine an organization where every department spoke their own unique language. That’s essentially how a data-driven business functions when there is no data literacy. If no one outside the department understands what is being said, it doesn’t matter if data analysis offers immense business value and is a required component of any business in this digital age.
Even if an organization has a digital mindset, communicating business value to a global consumer can seem nearly impossible. To remain competitive, organizations must champion data literacy and provide awareness of data management best practices to all departments.

Rid yourself of ROT

Cleansing bad data is not only in the best interest of your organization, but of your clients as well. The trouble with data is that it’s somewhat invisible. Many of us don’t know how to tackle the problem of data deluge. The legal industry, especially, faces the challenge of being told to “keep everything, just in case.” Meanwhile, IT and records management departments try to juggle competing priorities such as security and adhering to retention policies, all while acquiring and setting up more storage to support the ongoing flood of data being created.
With the onslaught of data breaches occurring today, organizations are putting an immediate focus on their data management strategies to address their Redundant, Obsolete, or Trivial (ROT) data. Organizations don’t want to wait until they are forced to look at their data and establish solutions on the fly that are costly, time consuming and affect their organizational reputation. CEO’s and executives want to sleep better at night knowing that their organization’s data is well-managed and the appropriate strategy and operational procedures are put in place from the outset.
Ricoh can help! Learn how our eDiscovery solutions and services can simplify the complexities of bad data and set your organization up for success with clean data!