How Data Management Tools Strengthen Salesforce DevOps
Salesforce data management tools are a crucial aspect of maintaining a healthy DevOps environment and securing your platform.
Why It Matters: Properly managing Salesforce data enables teams to ensure their data is accurate and reliable. Salesforce data management tools are specially designed to optimize data integration, quality, and security.
- Improved decision making, enhanced quality, and stronger governance are all possible when data integrity is maintained.
- Avoiding data duplication, minimizing the amount of data stored, and reducing data maintenance needs are major cost savers.
- Inaccurate data leads to unreliable insights, security vulnerabilities, and compliance failures.
Here are eight ways Salesforce data management tools ensure smooth DevOps processes:
- Elimination of Manual Processes
- Reliable Data Quality
- Version Control
- Strengthened Data Security
- Simplified Backups
- Scalability
- Enhanced Reporting
- Compliance Assistance
1. Elimination of Manual Processes
Manually performing tedious tasks inevitably leads to fatigue and errors. Automated tools are available to help your team manage Salesforce data and expand their capacity for productivity.
Automating the integration of data from various sources ensures that team members always have access to reliable data.
Eliminating the errors associated with manual processes creates a stronger, more secure Salesforce environment while freeing your team members to work on more pressing issues.
2. Reliable Data Quality
How do you assess your ability to maintain a quality pool of data? Quality standards should be established to easily identify data that won’t help you accomplish your goals.
Automated Salesforce data management tools can be used to enforce data quality standards.
This helps your team cleanse, validate, and enrich data before it enters the Salesforce environment, ensuring high data quality for development and testing.
3. Version Control
Accidents and mistakes become increasingly likely when more team members have access to certain types of data. There are data management tools that can be used to quickly and easily rectify these situations.
Just like code, data can be managed with the help of a version control tool.
These tools allow DevOps teams to track changes, roll back to previous versions if needed, and maintain a history of data changes.
4. Strengthened Data Security
A massive part of properly handling your Salesforce data is instituting protocols to protect it. Data management tools offer robust security features to ensure your data remains impenetrable.
Encryption, access controls, and monitoring are all possible with data management tools.
This helps in securing sensitive data within Salesforce, ensuring compliance with regulations and protecting against data breaches.
5. Simplified Backups
A contemporary and complete data backup makes the difference between an incredibly costly outage and maintaining connectivity with business functionalities intact. Manually backing up your data isn’t a reliable option if you want to be successful.
An automated backup and recovery solution can be configured to take snapshots at regular intervals, ensuring you are able to fall back on recent data if an outage occurs.
This is a critical consideration for both Salesforce data management best practices as well as regulatory compliance.
6. Scalability
Your Salesforce environment is going to grow. And along with that, the amount of data you need to manage will increase.
Data management tools streamline performance, allowing Salesforce environments to scale seamlessly without impacting development and operational processes.
Efficiently managing the movement and verification of data quality maximizes the amount of data your team members can oversee.
7. Enhanced Reporting
A major benefit of properly managing data is the ability to produce strategic reports and analytics.
Integrating advanced data management tools enables Salesforce DevOps teams to leverage better reporting and analytics capabilities.
This allows for more informed decision-making and the capability to track and effectively measure key performance indicators (KPIs).
8. Compliance Assistance
We’ve mentioned the need to maintain regulatory compliance several times because it’s incredibly important. Failing to ensure and verify compliance can result in incredibly costly fines and penalties along with loss of consumer trust.
Automating the handling and protection of Salesforce data gives you a much better chance at staying compliant, and the reporting capabilities give you the documentation you need to prove it.
A healthy Salesforce environment relies on strong data. Proper management takes intentional effort along with the assistance of automated data management tools.
Next Step…
Now that you understand the importance of data accuracy, let’s look deeper into how you can protect your Salesforce environment from the inside out.
Watch our on-demand webinar, Creating a Culture of Security in Your Salesforce Development Pipeline, to learn more about how to make a security-focused company culture.
FAQs
What are the key components of Salesforce data management?
Data management encompasses numerous crucial aspects of maintaining a quality pool of data. Data governance is a major part of this, which defines the roles, responsibilities, and standards for managing data throughout its life cycle. Teams need to analyze their data to ensure it is accurate, complete, and consistent. This data can be integrated between Salesforce and other systems to facilitate efficient business processes. Security also needs to be considered. DevOps teams can look at current measures to determine whether they properly protect sensitive information from unauthorized access, ensuring compliance with regulatory requirements. And finally, a consistent backup strategy should be maintained.
How can organizations optimize data storage and reduce costs in Salesforce?
The amount you pay for storage is directly proportional to the amount of data contained within your Salesforce environment. And since Salesforce storage is among the most costly platforms, it’s in every organization’s best interest to keep data repositories as small as possible. Data archiving is a great way to do this. There is often data retained in your system that is necessary to keep—perhaps for compliance reasons—even though it doesn’t serve business purposes. This data can be put into off-site storage, so it can be accessed when needed without factoring into the amount of data stored directly within Salesforce.
What are the common challenges in Salesforce data management?
There’s a good chance your Salesforce environment contains a lot of data. The larger your repository of data grows, the more difficult it is to manage. This becomes even more challenging when data is coming from multiple sources. Inconsistencies and errors become possible when you’re integrating data from external systems and different Salesforce modules. Regulatory requirements like the GDPR and CCPA need to be considered at all times, adding another layer of difficulty to properly managing your Salesforce data.