Today, most Library Management Systems are accompanied by sophisticated reporting packages and Management Information System (MIS) modules. Couple this with the rise of desk-based computing and increased access to the internet, data from a myriad of external resources can now be pulled together, analysed and viewed in increasingly complex ways.
There are even companies out there trying to sell or give you more data!
Dashboards give users at-a-glance views on data, but the problem remains....
i.e. What do we do when the needle on the dial hits 10?
What does this all mean ? - What action do I take now ?
Without a framework for decision making overlaid onto this data - the user is left paralysed by data overload.
smartsm is a single performance improvement framework looking at stock procurement , management and promotion, allowing you to set performance targets and goals.
Importantly and UNIQUELY, smartsm then generates Action Plans giving clear advice on what to do with your stock - at item level, collection by collection, branch by branch, to move you towards the goals you specify within the framework.
Our Evidence Based Stock Management methodology has been developed over a period of 18 years and has been refined continuously to provide some very sophisticated algorithms. These then generate the Action Plans which make item level recommendations on performance improvement. It is the depth and pedigree of the methodology, coupled with the power of the single performance improvement framework within smartsm that harnesses all of the data available.
Manipulation of data is further reduced by smartsm in a number of ways including :-
- direct interaction of smartsm with RFID handheld readers meaning users can create the Action Plans at branch level within seconds
- seamless transfer of selected material from the smartsm shopping cart to your book suppliers' shopping cart removes the need to cut and paste ISBNs etc
- reporting on performance management of stock and book suppliers can be done at the click of a button without further data crunching