Here's how you can ensure data security when using new technology in Analytical Skills.

When using new technology in analytical skills, ensure data security by encrypting data, controlling access tightly, conducting regular audits, securing network infrastructure, masking or anonymizing sensitive data, providing employee training, following secure development practices, backing up data, and complying with regulations.

Data security is paramount when leveraging new tech in Analytical Skills. Start by vetting vendors rigorously, ensuring their security protocols align with your needs. Next, educate your team on best practices for handling sensitive data. Regularly update software and invest in encryption tools. Lastly, establish clear policies for data access and storage. Together, we can navigate the data landscape safely and effectively.

When evaluating or implementing new technology, the first step is to perform a thorough risk assessment to understand the type of data that will be used or stored as well as understand the security controls enabled by default and what additional security controls must be implemented to protect the data. This will help to identify the high or medium risks and make a decision to address, mitigate, or accept them.

Risk assessment is an ongoing process. It is not a one-time task that you can check off your list and forget about. As new technologies emerge, new risks also arise. Therefore, it is essential to evaluate the risks associated with your data regularly. When implementing new technology for data processing, it is also vital to have both IT general controls and application level controls in place. IT general controls govern the entire entity, while application controls work at the software and application level. For example, IT general controls refer to the access control policy for each software implemented in a company, while application controls ensure that only authorized individuals access that particular software.

So! - Assess risk before adopting new tech - it's a data analyst's mantra! - Identify security threats and vulnerabilities to prevent data disasters. - Know your data inside out - what's being processed, stored, and transmitted. - Evaluate risks associated with each data type to prioritize security measures. - Mitigate risks with targeted strategies like encryption and access controls. - Don't gamble with your data - proactively secure it to avoid breaches and threats.

Access control - controls are the procedures , process and system designed to ensure that only an authorized person is allowed to access to the system , process or assets based on their access right defied by the organization. Access control ensure the least privileges any of the user / employee of the organization must have a need to know based access to any of the data or that organization that can be ensured through defining access right of each user and access control matrix. to implement an access control - user access must be defined and documented for each user based on their roles.

Use of Encryption - encryption is a technique which is used to convert a data from a clear text ( readable form ) into scrambled ( cipher ) form or applying a key to the data so only person having the key of the encrypted data only can open and read the data mean a person who don't have the key of message. encryption ensure to prevent or restrict the unauthorized access or disclosure information to other than a person who have right to have it or access.

Policy Update - information security policy plays an important document which contant the intent of the organization. its a high value statement which define the security compliances required of the organisation . an information security policy shoudl be updated on regularor bais , atleast annualy or at the time of reporing of each incident. an updated information security ensure the effectiveness data security