Your enterprise software does not deliver as promised, you are not alone. For the past 30 years many companies, like yours, have not achieved the benefits expected from the limited, complex and expensive solutions available. It is not your fault. The model is to blame. Let me explain.
Enterprise software does not satisfy every need out of the box, forcing organisations to loose their competitive advantages by adopting the standard version of the software or spend years, millions of dollars and thousands of person-hours creating a customised version of the software that is partially useful for that company at that specific moment in time.
Enterprise software is built modularly and often does not support begin-to-end processes, so organisations need to implement several pieces of software and connect them via offline interfaces to solve the problems and satisfy the needs required to fulfil these begin-to-end processes. The gaps introduced in the processes and the lack of data integrity avoid creation of reliable and timely information, often data-lakes are used in an attempt to build somewhat useful information from the different pieces of software. Workflow and security are complex to implement and maintain, often requiring lots of additional programming.
Enterprise software is designed to run monthly and annual closing procedures, which slow down or stop organisation’s operations for at least a few days every month to run these procedures. This creates multiple static hyper-cube snapshots stored in data warehouses, where end-users often have no certainty which to use to make correct decisions.
End-users are used to periodically have no access to Enterprise software, so the IT infrastructure that supports it is not designed, less implemented, to run 24/7 non-stop, adding more offline time to run maintenance and data processes.
To sort out the restrictions the model imposes, “Excelence Organisations” (with one “l”) begin to work outside the Enterprise software, typically on spreadsheets which are later uploaded to the databases, introducing errors, compliance risks, non-timely and/or non-reliable information, lots of person-hours wasted, erroneous decisions made and money is lost.