BI

• The value of information provided by a Business Intelligence, Analytics or reporting system is only as good as the accuracy of the information going into the system or database that the BI systems is pulling information from.

• Some information can be captured electronically, but this data this typically needs to be reviewed and some of it will need to be adjusted.

Custom Systems

• The value of information residing in a database is only as good as  the data that is being put into it and how often it is updated.

• Some data can be captured and used with not human review needed, while some of the data will need to be reviewed, augmented or updated by humans.

AI

• Even pure AI needs human help.  A core pillar of AI is referred to as Labeling, where humans assist AI Models by labeling, correcting & teaching the models. Human intervention is important to minimize AI hallucinations and accuracy.

• ​An AI

• This is critical when using AI within CRM, ERP or other business systems as well.​

CRM

• A CRM system needs accurate data if you are using it to help make decisions for your organization.  The rule of GIGO (Garbage In, Garbage Out) is universal.  Timely data must be captured correctly with as much detail as possible, both form customers/ partners AND from within the company. .

• Bids and the data they depend on come from updating databases with realtime, detailed data.

• Clients will not always communicate issues, and many won't fill out surveys.  Getting accurate data may require a human to proactively ask questions.

Finance

• Many financial and compliance interactions between you and your customers (or suppliers) can require human intervention since emails are not always responded to.

• Costly errors can be avoided by having a team focused on realtime coordination with your Sales, Legal and Finance teams; while also speaking with customers.​​

• When dealing with agreements and documents, having Quality Assurance helps to avoid errors.