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Migrating sensitive content securely: A guide for businesses | 1) Understanding Data Migration

Businesses rely on ECM systems to store customer data. In this article we will guide you through GDPR compliance during your ECM migration.

Nowadays, businesses constantly generate and store sensitive data. When it’s time to move this data, whether it’s to a new database, a cloud platform, or a modern system altogether, the process is known as data migration. This undertaking involves extracting, transforming, and loading  the data while ensuring its integrity and, most importantly, its security.

In this new series of articles, we’ll discuss what data migration is, how to plan for it, the best strategies, how to ensure security during the process and some of the technologies available for it.

Understanding data migration

Data migration is an intricate process that demands precise planning and execution. It involves not just the relocation of data, but also its transformation and validation to guarantee accuracy and consistency in the new environment.

The process begins with the extraction of data from the source system, which could be a database, a file system, or another type of data storage. This extracted data is then transformed to align with the requirements of the target system. This transformation may involve data cleansing, mapping, and enrichment.

After transformation, the data is loaded into the target system. Throughout the migration, ensuring data integrity and security is vital to maintain the reliability of the migrated data.

The importance of data migration

A key benefit of data migration is data consolidation. Organizations often struggle with data scattered across multiple systems, hindering access and analysis. Migrating data to a centralized location streamlines processes and provides a holistic view, leading to better decision-making and improved efficiency.

Moreover, data migration enhances data accessibility. Legacy systems often have limited capabilities for data retrieval and analysis. Migrating data to modern platforms allows businesses to utilize advanced analytics tools and technologies, extracting valuable insights and enabling data-driven decisions for a competitive edge in the market.

Data migration also ensures data integrity and security. During migration, data is carefully validated and verified for accuracy and consistency. Security measures are implemented to protect sensitive information from unauthorized access or breaches. By migrating data to a secure and robust environment, organizations mitigate risks associated with data loss or compromise.

Texport: Alfresco Exports & Imports by Texter Blue

Introducing a new mindset for upgrades and content transfer, we’ve developed a solution that exports and imports at object level supporting all Alfresco object types and it carries the symbology of true export.

Full Support – Supports content, metadata, relationships, permissions, versions, tags, categories, sites-memberships, and all other repository node relations from a source Alfresco repository to any target Alfresco instance.

Optimized – Multi-threaded tool that leverages low level OS and cloud resources via its close relation with Python, as such it’s fully optimized for export/import throughput, ingestion rates of up to 2800 nodes/sec.

Native S3 – Native S3 support allowing full repository bidirectional transfer from a normal fileContentStore into an S3ContentStore

Clean Data – Move all content or choose to archive or dispose certain areas of the repository – for example the archiving part of the audit-trail to increase database performance.

Record – Keep a record of all exports and imports executed for validation and data quality purposes. It ships with an ElasticShearch integration, providing robust dashboards in Kibana for content transfer executions overview.

Cloud Ready – Container friendly and Cloud ready, adding security and backup options in future relations.

A clever digital transformation…

Texport provides the opportunity to implement a clever digital transformation to the way the organisation interacts with their digital content, consolidating and enriching data – tagging, categorising, auto-classification, applying AI – thus increasing efficiency and optimising the investment.

Download here the Texport – Alfresco Exports & Imports – DataSheet:

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TML: Texter Machine Learning by Texter Blue

Your content and data are the foundation upon which your business operates, and critical decisions are made. Recent advancements in AI in areas such as image and natural language processing have enabled a whole new level of automatic extraction of information and data analysis that power the automation of key business processes not possible until now.

  • Process your data with different AI engines, integrating the results.
  • Supports several data formats: images, video, text, etc.​
  • Generate new content and document versions based on AI results​.
  • Store extracted information in metadata, enabling further processing and process automation.
  • On cloud or on-premises – in case you don’t want data to leave your private infrastructure.
  • Compatible with several different ECM providers
  • Ability to develop custom AI models to target your specific needs and data.

AI is essential to remain relevant!

The adoption of AI in modern organisations is essential to remain relevant and competitive, optimising efficiency, empowering new business opportunities and freeing critical human resources to specific value-added tasks.

Download here our TML – Texter Machine Learning – Datasheet:

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If you’re struggling with your digital transformation, remember… you are not alone in this… Texter Blue is here to help you providing the best results! Make sure you read our news and articles and contact us.