Companies are not sufficiently prepared for the GDPR
According to a study by Varonis Systems dated May 2017, 81% of all companies surveyed doubt that the specifications will be implemented on time (source: datensicherheit.de ). While one might initially assume that companies lack the time and resources, the majority has a different reason: 58% do not consider implementation as a priority.
Assuming that the fines are not exactly squeamish in violation of the new regulations (up to 20 million euros or four percent of global sales), so surprised a setting.
According to a study by Varonis Systems dated May 2017, 81% of all companies surveyed doubt that the specifications will be implemented on time (source: datensicherheit.de ). While one might initially assume that companies lack the time and resources, the majority has a different reason: 58% do not consider implementation as a priority.
Assuming that the fines are not exactly squeamish in violation of the new regulations (up to 20 million euros or four percent of global sales), so surprised a setting.
The three hurdles to implementing new privacy regulations
The lack of priority may also be due to the fact that many companies feel powerless when it comes to implementation. For example, more than half of the surveyed companies fear that the "right to forget" and the efficient identification and granting of personal data are difficult to implement.
In a survey conducted in July 2017, the company Veritas therefore also asked for clear reasons for the concerns and the lack of prioritization (Source: datenschutzbeauftragter-info.de ). The answers quickly reveal three gaping gaps in corporate data management:
There is a lack of knowledge
Many companies cite a lack of knowledge to properly decide which data to back up and which data to delete (42%).
There is a lack of tools
In particular, the identification and monitoring of data in real time is challenging because it lacks the necessary tools (32%).
There is a lack of methods
On the one hand, there is concern that potentially valuable data will be deleted (39%) and, on the other hand, that there will be no necessary preparation to protect personal data efficiently (30%).
The lack of priority may also be due to the fact that many companies feel powerless when it comes to implementation. For example, more than half of the surveyed companies fear that the "right to forget" and the efficient identification and granting of personal data are difficult to implement.
In a survey conducted in July 2017, the company Veritas therefore also asked for clear reasons for the concerns and the lack of prioritization (Source: datenschutzbeauftragter-info.de ). The answers quickly reveal three gaping gaps in corporate data management:
There is a lack of knowledge
Many companies cite a lack of knowledge to properly decide which data to back up and which data to delete (42%).
There is a lack of tools
In particular, the identification and monitoring of data in real time is challenging because it lacks the necessary tools (32%).
There is a lack of methods
On the one hand, there is concern that potentially valuable data will be deleted (39%) and, on the other hand, that there will be no necessary preparation to protect personal data efficiently (30%).
The solution: holistic data management
If there is a lack of prioritization, and tools, knowledge and staff are lacking to implement privacy decrees, then it is probably because many data protection measures are perceived as a necessary evil. The myth that measures, laws and requirements prevent digitization has become widespread in recent years, but could not be more untrue.
In fact, the exact opposite is the case: the fundamentals of data management that are necessary for data protection are largely also the basis for a meaningful handling of corporate data and data analytics . In other words, anyone who really cares about the right documentation, organization and backup benefits for a variety of reasons.
Companies that do not have an overview of their data and missing or inadequate taxonomies are losing countless hours of work each day and are already jeopardizing existing privacy policies.
There are numerous studies that confirm that employees spend up to two hours a day searching for documents and information, regardless of their business (Source: Cottrill research ).
If there is a lack of prioritization, and tools, knowledge and staff are lacking to implement privacy decrees, then it is probably because many data protection measures are perceived as a necessary evil. The myth that measures, laws and requirements prevent digitization has become widespread in recent years, but could not be more untrue.
In fact, the exact opposite is the case: the fundamentals of data management that are necessary for data protection are largely also the basis for a meaningful handling of corporate data and data analytics . In other words, anyone who really cares about the right documentation, organization and backup benefits for a variety of reasons.
Companies that do not have an overview of their data and missing or inadequate taxonomies are losing countless hours of work each day and are already jeopardizing existing privacy policies.
There are numerous studies that confirm that employees spend up to two hours a day searching for documents and information, regardless of their business (Source: Cottrill research ).
Data management secures data and optimizes processes
However, anyone who implements holistic data management automatically ensures that all data is better categorized and thus can be used more effectively. Because, to be honest, for example, there is no advantage in sending e-mails to customers who have not given their consent.
Nor does it make sense to collect customer data, but not be able to retrieve it as needed. Because if the problem exists for customers who want to see their data, the same goes for marketing, sales and service, which logically should have just as big problems finding the right data.
If companies recognize that the Data Protection Regulation is not an obstacle but a basis not only for the protection but also the effective use of customer data, the requirements can not be implemented only out of fear of fines, but are understood as revenue-generating measures Optimize customer experience, increase conversions and adequately identify, maintain and manage customer data.
However, anyone who implements holistic data management automatically ensures that all data is better categorized and thus can be used more effectively. Because, to be honest, for example, there is no advantage in sending e-mails to customers who have not given their consent.
Nor does it make sense to collect customer data, but not be able to retrieve it as needed. Because if the problem exists for customers who want to see their data, the same goes for marketing, sales and service, which logically should have just as big problems finding the right data.
If companies recognize that the Data Protection Regulation is not an obstacle but a basis not only for the protection but also the effective use of customer data, the requirements can not be implemented only out of fear of fines, but are understood as revenue-generating measures Optimize customer experience, increase conversions and adequately identify, maintain and manage customer data.
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