Time effective Having a platform where all information is in one place could be the greatest time-saving decision you make for your business . It ’ s thought that a business will waste approximately one man month each year searching for data and documents that have gone astray . ERP will remove the risk of human error and misplaced files , helping keep core data organised .
Remote access It ’ s not always possible for those in the construction industry to be office-based every day . However , many ERP solutions now operate from the cloud , meaning you are able to have a real time view of all your business processes wherever you may be . This allows you to keep an eye on your essential business needs even when you ’ re on the go .
The future of ERP With a recent survey of over 300 global organisations by Sana Commerce highlighting that construction companies will be more likely ( 84 %) to sell 100 % of their inventory online in the future , more than in any other sector ( 72 % average ), how else could ERP further influence the industry in the future ?
The final word goes to Stuart Hall , Enterprise Sales Manager at Sage .
“ Since the mid-90s productivity per hour for manufacturing labour has almost doubled . In the same timeframe , construction labour productivity has remained flat or declined depending upon the sector . Clearly , there are tools that the manufacturing sector has successfully deployed that have yet to penetrate the construction sector ,” he says . “ This productivity gap must be addressed by new generation construction software . The tools need to migrate from being effort tracking and reporting applications to decision support systems enabling process optimisation in response to real world situations and customer demand . This will give greater insight to help make better and more timely decisions .
“ We also expect to see tools that will allow deeper cross-project and program analysis and forecasting . It ’ s this insight from business software that will allow executives to model the impact of projects on their bottom line based upon historical data and proven models .”
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