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How ERP Systems Lead to Smarter Decision Making by Andrew Morley






Article Author Biography
How ERP Systems Lead to Smarter Decision Making by
Article Posted: 04/16/2018
Article Views: 281
Articles Written: 6
Word Count: 639
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How ERP Systems Lead to Smarter Decision Making


 
Business,Software

How ERP Systems Lead to Smarter Decision Making

Smart decision making is essential to business, and accurate data is the key to smart decision making. And the best way to ensure accurate data for your decision making? A fully integrated, robust ERP software suite. Enterprise Resource Planning software is designed to integrate all of the various aspects of running a successful business, from stock control and sales to CRM and finance. There are various ways that an ERP system will lead to smarter decision making.

Centralised data

The centralisation of all of this data means that your senior staff has easy access to important information. Staff from all of your departments will be inputting data at their sites which will be automatically fed into the central system, ready for your data analysts to dig in to. Data from production, sales, finance and your other departments is all accessible from anywhere in the company. ERP software solutions are also accessible via smartphone, so you really can access it from anywhere.

When management needs to make an important decision, they don’t want to be sifting through old email threads or trying to find the most up-to-date version of a spreadsheet on an old laptop. What they need is a centralised system that is designed to offer easy accessibility and traceability of any relevant data.

Automated systems

ERP software ensures that data is automatically recorded centrally no matter the department. Employees can spend a lot of time doing admin tasks that would be far better automated by your business system. For example, you may have several different spreadsheets for various departments that all require the information to be manually fed into the central database after it has already been entered into the local spreadsheet.

An ERP system would ensure that your employees only need to enter this data once, giving them more time to do other tasks. Along with that, information that customers provide, either through signing up for an account or making a purchase will also be sent to the central system automatically. This automation means that your business will rely less on humans, reducing the chance of human error and ensuring that data is recorded accurately. Additionally, the more automated your systems are, the more data you will have recorded for your senior team to use when strategising.

Robust reporting software

A comprehensive ERP suite will assist you and the rest of your executive staff in strategising by providing detailed reports of productivity, revenue, stock levels and so much more. This means that you can predict and make smart plans based on relevant, accurate and up-to-date information. When you need to make cost-saving decisions, ERP software will ensure that you can see where improvements can be made by presenting reports on productivity and efficiency by department.

A crucial aspect of planning and forecasting is data analysis. ERP software can overhaul how this works for your company. ERP suites boast synchronised datasets, allowing all of your employees to access and use up-to-date information, no matter which department or office they are in. Robust data reporting means that there are several ways to present information from a variety of sources to make it easy to understand for employees and clients, alike.

Conclusion

It’s clear that ERP software suites are the key to smarter, data-based decision making, no matter the size of your business. ERP software means centralised data that is accessible by senior staff and a business that is better able to record all relevant information through automation and easier-to-use systems. On top of that, your data analysts can present it in a variety of ways to ensure that the senior team is able to make smart decisions based on accurate and relevant data.

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