The Importance of Quality Data

As we further progress as a digital society, the role of quality data becomes more and more important. For decades, companies have been collecting and analyzing data in large quantities to enhance their operations. Data analytics help companies operate in a variety of ways: shaping decisions, increasing efficiency, providing hidden insights, and maintaining compliance, just to name a few. However, databases are getting larger and larger, and as database sizes increase, it becomes more difficult to properly manage the data. As they say, more data, more problems.

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Perhaps the most relatable example of company database is one that stores customer contact information. Take retail clothing for example. An online store like Gap stores customers’ names, email addresses, phone numbers, order history, email preferences, etc., in order to better understand and reach their customers. This data needs to be complete in the database to best serve its purpose. For instance, if a customer profile contains a missing or out of date email address, the customer may not receive important communications such as order confirmations or shipping updates. Maintaining both complete and accurate databases is crucial to getting maximum value from your database.

One way to increase the value of a database is to comb through the data and clean it up. If data is properly checked as it is entered into the database, it can reduce this hassle before it becomes a problem. Still, database maintenance can be extremely time consuming and is a huge cost to corporations. IBM even estimated in 2016 that the yearly cost of poor quality data was $3.1 trillion in the U.S. alone. There’s some incentive to take data quality seriously and to find better ways to handle data.

For many reasons, establishing and maintaining high-quality data is of paramount importance. It’s crucial to embrace good practices when it comes to data storage and maintenance to ensure success, and to get the most out of your hard-earned data. Fortunately, platforms like RoboRecruiter can automatically assist in cleansing and refreshing recruitment candidate databases to keep information up-to-date and accurate.

Our PALS product reaches out to your contacts to gather accurate, up-to-date information on candidates’ Price, Availability, Location, and Skills. The beauty of Robo is in the automation. Robo does the dirty work, gathering and organizing candidate information automatically, so recruiters can spend time doing more important tasks. For more information, have a quick chat with Robo on the homepage  or send me an email at ntreser@roborecruiter.ai.

1. http://www.ibmbigdatahub.com/infographic/four-vs-big-data

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Nick Treser is a Customer Success Manager at RoboRecruiter. He comes from a digital consulting background and likes focusing on the human aspects of technology. Nick grew up in the steel city of Pittburgh, PA, and now calls foggy San Francisco his home. He enjoys seeing live music with friends and digital photography.