As more organizations migrate to SAP HANA, it is increasingly important for them to understand the role that data plays in supporting operational and strategic goals, as well as its impact on IT resources and budgeting. As big data grows, so do IT budgets. But despite better technology and lower storage costs rapid data growth can quickly consume the benefits produced by technology.
Internal business users depend on real-time data for better insight into and greater control over day-to-day operations. External auditors and regulators require businesses to retain more data for variable periods of time. However, storing these large volumes of data in production databases is expensive, and with data growing all the time, those costs will only rise. By addressing the problem of data growth now, companies will be much better prepared to engage in an SAP HANA implementation in the future, or optimize a current deployment.
Controlling data growth across an enterprise is essential to aligning the IT infrastructure with business objectives and plans for future growth.
Forming a Plan of Attack
Controlling data growth across an enterprise is essential to aligning the IT infrastructure with business objectives and plans for future growth. Start by identifying mission-critical information that drives the business, and separate it from less valuable data. Next, identify inefficient processes that need to be streamlined and optimize them to make the operation leaner and faster.
It is not necessary to wait for an SAP HANA project to implement a data volume management strategy. By tackling the problem of data growth early on — whether before or during the deployment of SAP HANA — organizations can improve SAP system performance, provide transparent access to data, and address important compliance mandates.
Leverage Nearline Storage
While the data compression and performance efficiencies gained with SAP HANA are impressive, companies can still find value in augmenting SAP HANA with nearline storage. Using nearline storage for static business data can provide organizations with the system performance and access they need, while reducing the total cost of ownership associated with the data. Furthermore, archiving data to nearline storage provides organizations with additional compression and savings, so the actual cost of managing data remains in line with its business value.
The objective is to ensure that business users have quick, seamless access to data throughout SAP systems, regardless of where it is stored. With nearline storage, organizations can effectively manage data growth by moving less valuable data to other storage solutions — without sacrificing productivity or performance.
The Cost of Compliance
Online data residency times are aligned with an organization’s long-term reporting and compliance requirements, which are variable, yet users rarely access older data. By archiving older data and moving it to low-cost options, such as existing on-premise or cloud-based storage, organizations can significantly reduce data growth. This technique is particularly effective in highly regulated industries, in which organizations are required to retain large amounts of data for long periods of time. Moreover, by reducing online residency times, organizations can actually increase oversight of and access to data, minimizing risk.
Deploying SAP HANA is an important decision that will transform your organization. When approached strategically, with a sound data volume management plan that incorporates nearline storage, organizations can achieve the real-time performance benefits of SAP HANA and dramatically accelerate their return on investment.
For more information about how Dolphin can help your organization build a data volume management strategy for SAP HANA, visit www.dolphin-corp.com/.