Regardless of what ERP system you are using and especially if you have not migrated over to your own ERP system, data consistency is critical
The simple fact is that the system or systems that you are using can only work with the data you have or generate. With every system you add the process becomes more complicated, the data structure becomes more intricate and getting the reports you need exponentially harder. Having the most expensive and sophisticated system will not help you if your data is poorly formatted.
It is best to have an architectural review board set system policies, procedures, standards and training requirements for everyone who touches the system, both administrators and end users. Again, this is critical when implementing a new ERP, but also extremely important going forward to ensure that your investment maintains integrity.
In addition, bad data can contribute to revenue loss and added expense, making your reporting inaccurate and poorly informing your decision making.
Think about it. Let’s say your sales department has to generate reports for your marketing department once a week so they can decide which strategy to implement. 🏦 But because for each report your head of sales has to spend 8 hours preparing it, you decide to do it only once every 2 months. How much have you lost because you can’t make a timely decision? Hard to say… Did you lose money? For sure!
Good decisions and bad timing or bad decisions and good timing… is still bad.
Here is a list of frequent causes of data quality harm, often caused when your business has used several vendors over time or has had a change in personnel, both of which are very common.
🕳 Missing validation rules
🤦♀️Poor naming standards or no naming standards
🐣Incomplete or incorrectly implemented external logic or integration
🙈Similar to sloppy imports, massive misallocation (ownership) of records
🦍 🖇 Huge unnecessary even duplicate attachments, possibly even attached to the wrong objects, causing inaccurate reporting and wasting server space
😬🙄 Integration of external data sources without properly filtering for duplicates first.
👻 Careless or untrained administrators -actually do you have someone auditing you list of admins?🤷♀️
🤼♀️Too many administrators, even if they are properly trained
🔫 “Trigger happy” and messy data imports, the more external systems you are using the bigger the danger here
📑 📑 📑 Lack of control or rules for new record creation causing multiple duplicate records (possibly caused by lack of end user training)
🔗 😖Custom fields attached (mapped) to the wrong field
💣Field access rules that are too open, creating too many opportunities for human entry error when there is no benefit or need for access
Do you have the same problems? Give us a call ☎️
Every NaoLogic implementation includes a thorough data integrity diagnosis before migrating to your new system. We also adapt your data to the new standards and formats, respecting best practices in programming and databases. Our trained data architects help you assess what can be eliminated and streamlined to ensure that you get the maximum benefit and efficiency of your new custom ERP.
We also help you create the policies and procedures you need for your team to ensure that the system data stays clean and you have the tools needed to keep all team members trained and empowered. 👩🏽💻 🏋️♂️👑
All training and documentation is based on your processes, no more digging through ridiculously fat manuals filled with irrelevant information.
New system, clean data, all the docs you need.🗄🗂👩🏻💻 👨🏻💻 🚀
🥂🍾 Cheers to cleaner data! 🏄🏾🏝
We are social! are you? 🤠 🚀 come say hi!