The importance of data management is increasingly evident as companies find themselves having to respond to change faster than ever to remain competitive. Without best practices, volumes of data cannot be leveraged effectively to give companies a competitive advantage.
The way to mitigate this is to implement efficient business practices that are regularly evaluated and streamlined to generate results in a real-time environment.
What Are Best Practices for Managing Data in the Cloud?
Businesses hire analysts to manage data in real time. Online analytical processing (OLAP), online transaction processing (OLTP) and specialized reporting are all required to help businesses improve processes and increase revenue.
Data warehouse information and OLTP data may be combined in cloud-based solutions to provide organizations with more flexibility. For some enterprises, cloud-based solutions meet the “practical sense” test and for others these solutions do not. Common factors of the “practical sense” test include: Cost effectiveness, scalability, migration capability and return on investment. Once these factors are determined, a set of best practices can be implemented.
Efficient Infrastructure Solutions. Efficient infrastructure solutions allow IT professionals to focus on mission-critical tasks rather than managing infrastructure problems. The infrastructure supports the integration, design and configuration of a database in a cloud-based solution. Consolidation efficiency should be monitored and a set of practices should be developed to achieve optimal performance. With efficient best practices, IT can use the cloud to eliminate some customization issues and deploy solutions in a fraction of the time.
Data Migration. Best practices for data migration require that businesses learn to convert data efficiently at a database level. Efficient migration must occur regardless of the format generated. Databases, which are not required to be combined for security or operational reasons, can be migrated to a virtualized server. All source data must be converted into a standardized format to facilitate consolidation before migration to a shared server.
Consolidate to Minimize Costs. Consolidation reduces costs associated to hardware, cooling and power. It also reduces operational complexity which reduces the time required by IT management to complete projects. Consolidation can also assist IT managers with developing disaster recovery strategies and adopting best practices for a uniform backup routine. Best practices for an update and patch schedule should also be established.
Use Cloud-Based Data Center to Meet Demands of Faster Service. A cloud-based data center allows companies to share the capacity and equally divide the workload of applications across numerous servers for more efficient data manipulation and recall. This allows for faster innovation and ability to meet customer demands. Overall performance will not be affected when large amounts of data can be processed in the cloud.
JD Edwards helps businesses integrate data management best practices into organizations. Consultants help clients understand how to apply best practices and how to maintain competitive advantage in a fast paced work environment. The result is an affordable and high performance cloud-based solution. Cloud-based solutions are easily scalable, easy to deploy and cost effective.
The result: lower operating costs and increased efficiency.