Technological issues
• Data quality and sizing
As with any data solution application, the results of data processing as only as good as the data fed into the system/application. It is based on this that the management needs to analyze the currently existing customer data clearly defining data to be migrated and specifying the data volume to be stored. This will assist in determining the data storage size required by the SAP HANA application and limit extent of unexpected changes during implementation. Data may therefore need to be converted into an appropriate …show more content…
Each project stage is different with each having distinct contributing factors, objectives and characteristics. Graybar’s management therefore needs to use a standard project methodology, such as the SAP ASAP implementation methodology, to ensure that a project addresses all critical activities, phases, and deliverables necessary for its success. The SAP ASAP methodology has been updated to incorporate SAP HANA activities required for a standard in-memory project. Accelerators, best practices, and implementation tools have also been updated or developed to shorten project timelines and reduce risk. Methodology, timelines, and key activities will vary based on your technical landscape, expectations for in-memory functionality, and use case.
Through project implement and management, the company will therefore ensure successful implementation of the project and avoid expensive do overs. Additionally, Graybar’s management may consider implementing the project in stages as opposed to a one-off implement to monitor its fit and synchronization with on-going business processes.
Data management
All companies need to safe guard sensitive information from unauthorized access. This is due to the risk of data manipulation and misuse. Graybar hence needs to ensure necessary security over data access and operation of the SAP HANA application. This therefore implies that the company needs to assign user rights