Do you think operational roles misspend time in preparing productivity reports for management despite having ERP/BI systems?

The reports that are being needed from time to time should be automated , while ad hoc reports should be made by operational role.
Further these roles also needs to be reconciling/checking the automated reports

this reports more important then we think .
must be specific - short - has all information that's why it important and necessarily.

I think reporting and analytics should be automated and operational roles should replies to the compliance and errors if reported to management.

this reports is more important than we think. must be specific - short - has all information that's why it important and necessary.

Reports are only enablers and not an end in itself. It is the decision making appartaus which aids any report. Reports are necessary to gauge the mood of: Operations, hence it is imperative, still decision making to the report adds credence and value addition to the report. 

It's possible that operational roles could misspend time in preparing productivity reports if the reports are not useful or relevant to their work. However, if the reports provide valuable insights that help them improve processes or achieve goals, then the time spent on preparing the reports could be considered well-spent

Time Doctor https://www.timedoctor.com › blog How to Measure Performance with Productivity Reports

Enterprise resource planning (ERP) is a mainstay technology in businesses that want to gather, analyze and share insights among multiple departments, such as accounting, operations, manufacturing and sales, from a single database. While ERP systems are great at connecting the dots between business processes to find efficiencies, these days, remaining competitive calls for even more: Real-time data analysis and insights that help organizations make smarter decisions.

Enter business intelligence technology, or BI. Combined, ERP and BI increase a company’s agility, help leaders with oversight and pave the way to business success.

ERP system is responsible for receiving and organizing data of the organization, while business intelligence (BI) tools analyze this data to provide actionable insights. While ERP systems can track the details of every operation and transaction, many ERP solutions do not have the capacity to translate this data into insights you can use, at least not quickly or easily. Broadly speaking, Business Intelligence (BI) can be defined as the transformation of raw data into meaningful metrics reflective upon historical, current and predictive business operations and performance

Modern enterprises need a solution that will manage large volumes of data and turn it into insights that organizations can act on. This is where BI comes in. Business intelligence functionality can take all the data your ERP system captures, analyze it, and turn it into customizable, user-friendly reports.

One of the most visible benefits of BI software that integrates with an ERP system is its ability to give managers a real-time look at the data they need to make intelligent decisions in the short and long terms. For example, a production manager in a manufacturing environment will want to keep a close watch on the floor's scrap rate. With a quick glance at the dashboard, he or she will be able to see the floor's scrap rate in real time, since workers will be entering that data as it occurs. Should the rate reach an unacceptable level, the production manager can halt the process and identify the root cause before too much time and material is wasted. This data can then be applied to long-term analysis to help identify trends and opportunities for process improvement.