Comment former les employés à la migration et à la sauvegarde des données CRM ?

Also, emphasize the significance of understanding data lineage and dependencies. Comprehensive knowledge of how data flows through different processes and systems ensures a more accurate evaluation. Encourage employees to document data sources and transformations, enabling a clearer picture of data relationships. Highlight the importance of ongoing data quality monitoring post-migration, utilizing automated alerts and reports to promptly address anomalies.

Data backups tools, processes put data backup control in the hands of customers: Make sure your vendor has a SLA with a "Your data is your data" policy. Ask the questions where do the data backups reside? Many places like Canada, Europe adopted data privacy & security regulations preventing many businesses from having data backups leave the country. Export your data into .csv files regularly from all reports. Vendors can send you backup copies on a schedule. Setup workflow rules to send your data backups to you. Build a Compliance Relationship Management process and system with SaaS to manage it. Verify your backups regularly. Store backups on encrypted devices. Communicate your wants/needs/fears clearly to your data vendor.

A full data architectural map is required first to fully understand what data is being used, who uses it, where does it come from and where does it need to go and in what state. Only then, do you review the data quality - the average user will not understand this so you need to educate specific data champions who can really work with your "data" team to understand what data is important and what is not. Bulk cleansing activities should be be carried out by specialists with the right level of business analysis.(the risks of giving uncontrolled access to data tools to employees is exceptionally high) From this starting point you can establish the standards and policies you need to sustain your data quality and measure accordingly.

Eine sorgfältige Bewertung der Datenqualität bildet die Grundlage für eine erfolgreiche Migration oder Sicherung von CRM-Daten. Veraltete, unvollständige oder doppelte Datensätze könnten sonst die Qualität Ihrer Kundenbeziehungen beeinträchtigen. Um solche Probleme zu identifizieren und zu beheben, stehen verschiedene Tools und Methoden zur Verfügung. Datenvalidierung ist ein erster wichtiger Schritt. Überprüfen Sie die Daten auf Konsistenz, Richtigkeit und Vollständigkeit. Deduplizierung hilft, doppelte Datensätze zu erkennen und zu eliminieren, um eine klare und eindeutige Datenbank zu gewährleisten. Standardisierung sorgt dafür, dass Ihre Daten einheitlich formatiert sind, was die spätere Verarbeitung erleichtert.

Its important that uou should look for a CRM solution that meets the following criteria… 1) Doesn’t own your data; your business must be able to retain all rights to your data 2) Access permissions; view and revoke permissions for your account 3) Compliant with data privacy and security laws, including GDPR and CCPA 4) Deletion-protection functionality Data-encrypting 5) Third-party tested security assurance

You also must consider the security protocols and compliance requirements of your chosen tools and platforms. Assessing the data protection features and compliance with regulations like GDPR or HIPAA is crucial. Additionally, evaluate the scalability and integration capabilities of these solutions to ensure they align with future growth and can seamlessly interact with other systems in your tech stack.

Tool selection for a data migration or back up should be carried out by specialists with a proven track record in these areas. Randomly picking out and training employees on tools is a recipe for disaster - any decent CRM implementation will rely on a combination of inputs from the business operations, CRM specialists, data experts, system and solution architects.

Je nach CRM-System, Datenvolumen und Geschäftsanforderungen sind unterschiedliche Tools und Plattformen entscheidend für eine erfolgreiche Datenmigration oder Sicherung. Neben den nativen Tools des CRM-Anbieters können Anwendungen von Drittanbietern oder benutzerdefinierte Skripte effektiv sein. Die Wahl zwischen Cloud-basierten, On-Premise- oder hybriden Lösungen hängt von den spezifischen Bedürfnissen ab. Um das Optimum herauszuholen, sollten Mitarbeiter geschult werden, um die besten Tools und Plattformen gemäß den Anforderungen auszuwählen und gemäß den Unternehmensrichtlinien zu konfigurieren.

Pay close attention to data replication and data backup. Conduct daily backups to restore a customer’s data if the need occurs. Backups aren’t just helpful for the situations where your data is a target for hackers, but also for when parts of it get lost due to accidental deletion.

Ensuring that the plan for "data" is on the critical path for your CRM activities is paramount - this is the only way to deliver a credible project timeline and to fully understand all the risks and dependencies across the landscape.

Data privacy is about businesses ensuring the protection of personal data of customers that they migrated to a CRM system for operational or analytical purposes. They need to store comprehensive data to have a 360° view of every customer for personalized and proactive marketing, sales and after sale services. Data protection techniques like data masking and data anonymization are possible solutions to both keep maximum data and ensure its privacy. Masking is hiding or displaying sensitive data like credit card number depending on the CRM system user role. For example, a call center agent, unlike a system administrator, needs access to complete data that enables rich interaction with the customer. Anonymization removes or modifies such data.

Besides all these essential steps, also focus on establishing a robust communication plan. Effective communication is often underestimated during CRM data migration and backup processes. Ensure clear lines of communication between IT teams, end-users, and stakeholders to manage expectations, address concerns, and provide timely updates. Regular progress meetings can help identify potential issues early on and allow for collaborative problem-solving. Additionally, consider creating user-friendly documentation and conducting training sessions to empower employees with the necessary skills to navigate the new CRM system seamlessly.

Implementing a new CRM is a fantastic starting point for introducing a relevant Data Governance plan which should be supported by a Data Literacy programme which helps employees understand and grasp the importance of data in a CRM and how it should be treated.