The LGPD brought a great opportunity for the business sector, mainly because of the exponential increase in the flow of capital in e-commerce due to the Covid-19 pandemic.
In this scenario, companies have the chance to telemarketing data customer loyalty through data protection, as well as protect their business from future administrative or judicial sanctions for any breach of the law.
It is worth highlighting some advantages of implementing the LGPD:
- Improving the company’s reputation and image in the market;
- Stand out from the competition;
- Increased credibility in the market through awareness of personal data protection;
- Appreciation from customers zoomers say deadlines are toxic business partners;
- Strengthening of commercial relations due to joint liability, while the company will be able to close more contracts.
How can Microsoft 365 help you comply with the new regulations?
There are currently several companies on the market that offer technologies that strengthen the privacy, confidentiality and data security of organizations.
These are resources that range from turkey numbers database for specific information across multiple databases to identifying and tracking “leaked” emails that may contain confidential information.
Among these solutions is Microsoft 365, which has adapted all its tools to Brazilian internet standards. Check it out.
Sensitive data classification
In today’s world, businesses deal with an increasing amount of sensitive customer-related data, such as ID numbers, home and business addresses, professions and bank details, among other information.
To process this information, which can be stored in a local infrastructure or in the cloud, it is necessary to identify and classify it so that it remains safe, organized and with easy and quick access.
In this regard, Microsoft 365 allows the identification of sensitive data in unstructured data through tools that scan directories in the local structure. Thus, when found, the application reports them back or classifies and protects them directly, according to previous configurations.
Among the system’s solutions, we can mention Data Governance, which uses artificial intelligence (AI) and machine learning to find, classify, define policies and carry out actions to manage the life cycle of the data most relevant to the organization.