Mathilde Lacombe

Here are the top five benefits of using an automated data mapping and GDPR mapping system. Dive in to learn about these benefits – 

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  Make Your Enterprise Compliant To GDPR And CCPA
  

Whether companies like it or not, data privacy rules have set foot in the industry. Businesses were taken off guard despite a two-year warning that GDPR would be implemented. Gartner estimated less than a month before GDPR went into effect in May 2018 that more than half of GDPR-affected organizations would fail to comply. More than 18 months later, i.e., at the end of 2019, fresh data revealed that 58 percent of GDPR-affected businesses were still unable to respond to data demands within the required time limit.

To comply with GDPR and CCPA, an organization needs to have a data mapping privacy system to keep a check on the data cycle – how it comes, where it goes, and how it gets transformed. Unfortunately, most organizations fail to do so because they don’t have a proper automated data mapping system. The days of spreadsheets are over – now you need a reliable and efficient CCPA data mapping system. 

• Time And Resource Efficient
  

Having a specialized data management team can prove an asset to the company. Still, based on their skills and experience – the average base salary can prove quite expensive for the enterprises. 

Unfortunately, data scientists spend about 30-40% of their time doing all the data preparation and grooming while figuring out details about data mapping privacy. It suggests that the data analyst spends a lot of time achieving basic tasks, which may make them lose some opportunities. 

Thus, using an automated data mapping system is best to take more time on data modeling, predictive analytics, and actionable insights. In simple words, automation proves a time and resource-efficient process.

• It Accelerates The Efforts Of Modernization
  

Most companies look for assistance for data transitioning from their in-house centers to an in-expensive cloud database. However, every enterprise taking assistance from the cloud database pays only for the compute power they use. This way, any company can cut their expenses and modernize their working environment.

Modernizing can be a strenuous process because if you didn’t know what’s flowing into the premises’ hardware, it would make it difficult for you to point the same pathways to the cloud. Also, manual documentation of this pathway can be expensive and time-consuming. Thus, automated data mapping privacy systems can, in short, accelerate the transition.

• It Aids In Making Precise And Confident Decision
  

If you don’t get an automated data mapping system, you might not be aware of the point of initiation of the information, data modification process, etc. As a result, it creates severe problems with the actionable information you may extract from the data. And, if you don’t know the origination point of the data, how you could trust that the information is accurate and can be a solid base for making any decision.

While you don’t have any confirmed information, you might not be able to make decisions that lack precision and accuracy. But when you have logical transformational details and comprehensive documentation, you might be able to trust the quality and accuracy of the data.

• Automation Of Data Mapping Can Improve Communication Between The Businesses And IT
  

An organization and IT are two different worlds. It is one of the primary reasons why only a few companies can get their data mapped accurately with automation systems.

As both the worlds are different, they take each other differently. For businesses, IT is non-cooperative. But, at the same time, IT takes businesses as a demanding sector. But with the intervention of the right tools, you can take the area of the problem and turn it into a valuable business.

People in the IT sector can do whatever they have been trained to do. But, on the other hand, the enterprise owners get access to data lineage and the whole architectural overview. In the end, everything creates better communication and collaboration scenarios between the two sectors.