A global leader in cancer diagnostics, with expertise in the development and distribution of innovative products that improve the precision of pathology. With the mission of improving patient outcomes, it delivers innovative diagnostic solutions with a world-renowned portfolio of trusted brands.
The company was running on several legacy systems, such as JDE (JPOR, JKAL), and DataFlo. Over the years, these systems have generated enormous amounts of historical data.
The real challenge is this:
• Compliance with regulations demanded adherence to retention policies.
• Historical data access was still required by business users.
• SAP S/4HANA migration had to be accomplished without disrupting business.
• Data integrity had to be maintained.
This was not a simple migration task. It was a transformation project driven by compliance needs with business continuity at risk.
Historical Data Migration will be done using ETL Tool(dataZap) which includes data extraction from JDE(Both JKAL and JPOR) as well Dataflo system and Data Loading into Azure Cloud MSSQL Database .Once the Data migrated to Azure Cloud ,then with the help of dataZense data are represented in graphical and table grid views for the end user reporting purpose. Smart BUILDER application is used to replicate the form as such in the source JDE system for the Business user to view the form for future reference.
“Archiving the right data can not only save your business money, but also add value to your business.” A data archive is a place to store data that is important but that doesn’t need to be accessed or modified frequently. Data archiving is the task of identifying and moving data that is no longer actively used to a separate storage system for long-term retention. Archived data is typically information that is important to the organization or must be retained for legal reasons or for compliance with regulatory frameworks.
The solution proposed was dataZense (a cloud-based Data Archival solution) that runs on the ChainSys Smart Data Platform. dataZense comes with prebuilt templates for all ERP applications, thereby reducing the effort and time involved in Data Loading. DataZense is based on Web-service based architecture and is fully configurable to suit the business needs.
The implementation of Data Archiving was done in 8 weeks. Agile execution is enabled by the use of templates and a configurable and no programming approach to the solution process. Businesses that invest in proper data archiving strategies will not only achieve regulatory compliance, lower costs, and mitigate risks, but will also meet operational goals and achieve long-term viability.
Below some Key Benefits.
Reduced Costs: Data is typically stored on low performance, high capacity with lower associated maintenance and operation costs.
Reduce Backups Windows: With continuous data growth, backup times are now stretching more hours. With a copy of your files in the archive, you can control your backup times as there is no need to backup old historical data.
Application Retirement: Application retirement allows the application and the supporting hardware and software stack to be decommissioned. This eliminates recurring costs such as licensing, maintenance, and application administration costs, representing potential significant savings. Also noteworthy are the space savings and reduction of power consumption in the data center when applications are retired.
Improved Efficiency: Most organizations are using their primary storage systems to store inactive data. As your system accumulates more data, it decreases the efficiency of the system.
Archiving allows you to move infrequently needed data from your system, freeing up valuable primary storage space by off-loading unused data. With an effective archive strategy, organizations would be able to easily search for and access old data that continues to add value to the business over time and they can restore the same data whenever they need
Data Availability: Legally, your business must retain certain documents for a set period. Regulatory compliance in several industries - like finance, healthcare, and Services - will continue to drive changes in data retention.
Data security: Data held in archive must be protected from loss, corruption, theft, and compromise. Archived data may need to be accessed by a wide variety of users. Data archiving solutions can simplify access requirements with role-based/User permissions that allow users to easily search and retrieve without intervention by IT teams. archiving Process limiting the chance of cyberattack or malware infection
Prevention of data loss: Archiving reduces the ability to modify data, preventing data loss
