Typically, enterprise data integration does not happen overnight. It is a phased approach that often starts with leveraging existing automation and processes. It is then built out over time by including more systems, data, and advanced process control.
In the absence of an enterprise data integration solution, companies generally are limited to the following two choices: manually interacting with applications or custom integration scripting that can then be scheduled. Neither are robust nor scalable solutions, as they are error-prone, and often result in severe organizational inefficiency.
While the costs of these inefficiencies are rarely measured, they can be significant and should not be ignored. Fortunately, to begin the data integration journey, there are simple ways where companies can get started with little to no time investment. This is called the Point-and-Run approach where scripted integrations are centralized in a common management interface that can run, monitor, schedule, and control the custom code, and it results in immediate efficiency gains.
Whether you want to manage a simple batch or shell script, or the more programmatic Python or R programs, OneCloud supports a Point-and-Run approach and provides a quick win on the road to enterprise data integration.