So, it’s been a while since your CRM implementation and things aren’t looking as good as they should be? Overtime, your people, processes and technology will change and if you don't have a system for maintaining your CRM, no matter how good it was implemented at the beginning, things are going to get a little hairy.
Here’s 7 ways to improve your CRM quality and reliability.
Jump ahead:
Tip 1: Maintain data hygiene with these 3 data cleansing techniques
Tip 2: Use automation for regular data validation and maintenance
Tip 3: Implement user training and follow an adoption process
Tip 4: Customise your CRM to suit your needs
Tip 5: Integrate your tools and unify your processes
Tip 6: Use metrics to monitor performance and optimise your tools
Tip 7: Check data security and compliance
"A clean and efficient CRM is the key to unlocking valuable insights and optimising business processes."
"Your CRM needs to have the capability to meet your needs. A CRM should be used as a strategic asset that can significantly improve efficiency, customer satisfaction and overall business performance. By investing in data quality, automation and user training, you can drive more value from your CRM and drive sustainable growth."
Lochlan Ross, our Lead Solutions Engineer at Modern Visual.
Maintaining data hygiene is important for ensuring you have reliable and accurate information to make business decisions. If you have new staff hires and people use different processes for entering information to your CRM, your data will most likely be affected with indifferences. Your technology may also need regular updates if you don’t have automated processes in place.
To improve your data cleansing and standardisation start by conducting a thorough audit of your existing data to identify inaccuracies, duplicates and inconsistencies.
3 data cleansing techniques you can use to remove irrelevant or outdated information and ensure data accuracy:
1. Duplicate detection and removal:
Automated tools and algorithms can help you find duplicate records within your CRM database. Compare fields such as names, email addresses or customer IDs to flag potential duplicates. Develop rules to merge duplicate records or choose a master record while discarding redundant information.
2. Outlier detection and correction:
Analyse your dataset for outliers that may skew data analysis or reporting. Use standard deviation or interquartile range analysis to identify outliers. Evaluate whether the outliers are valid data points or errors, and correct or remove them accordingly to maintain data accuracy.
3. Data validation and enrichment:
Implement validation checks to ensure that data entries adhere to predefined rules or formats. You can verify data accuracy by cross-referencing against external sources or reference data sets. You can enrich your dataset by supplementing existing information with additional data sources, such as third-party databases or APIs, to enhance completeness and accuracy.
This ensures that moving forward, your data can be better maintained overtime.
Implement processes for new hires to follow and train them accordingly to ensure maintenance remains accurate and reliable.
If your CRM isn’t already customised to your business operations, it's probably a good time to assess your CRM needs. To improve your efficiency, reliability and business logistics, customising your CRM to your operations will help you immensely.
You can now look at ways for improving your CRM system and monitor whether your previous set up is still the most relevant. As your business is ever evolving, it's important to monitor your progress and adjust your systems over time.
Download Offer:
Download our Revenue Operations ebook to learn how to
optimise your business operations and elevate your people, processes and technology.
Review your CRM performance and identify areas for improvement. You can then accelerate areas of success and improve optimisation based on performance analytics and user feedback. Ensure you continuously refine your CRM strategy to adapt to evolving business needs and technology advancements.
CRM usage metrics:
Data quality metrics:
System reliability metrics:
Evaluate your current processes and update policies when required. You should implement robust security measures to protect sensitive customer data stored in the CRM system. You can ensure compliance with relevant data protection regulations, such as GDPR or CCPA, to safeguard customer privacy and maintain trust.
By following these tips and prioritising ongoing efforts to enhance the quality and reliability of your CRM system, you can optimise customer relationships, streamline operations and drive business growth.