In my previous role as an engineer, I found myself at the crossroads of IT and Operational Technology (OT), where I had direct access to data sources and could discern their true significance. This unique position allowed me to merge real-time production data with Enterprise Resource Planning (ERP) data, resulting in reports that were both realistic and defensible. However, this integration often led to conflicts with the Business Intelligence (BI) team, as my reports sometimes highlighted discrepancies in their analyses. This experience underscored a critical issue: the loss of data integrity as it travels through various systems and departments.
Engineers frequently encounter challenges when relying on BI teams for reports. The crux of the problem lies in trust and accuracy. Engineers are more likely to trust data they have directly interacted with and analyzed. This trust is similar to the confidence one has in their own calculations or measurements. When data is filtered through multiple layers, whether different teams or systems, there is an increased risk of misinterpretation or error, leading to a lack of confidence in the final reports.
A common fallback for engineers seeking to create their own reports is Microsoft Excel. Its familiarity and flexibility make it a go-to tool for many. However, Excel has its limitations, especially when it comes to real-time data analysis. Reports generated in Excel are often static and may not reflect the most current information, hindering timely decision-making. Additionally, the manual effort required to update and maintain Excel reports can be both time-consuming and prone to errors.
At Ulexioty, we recognize these challenges and aim to empower engineers by providing tools that ensure data transparency and integrity. One such approach is the implementation of a Unified Name Space (UNS), which acts as a data backbone, harmonizing information across various systems like Manufacturing Execution Systems (MES), ERP, and BI tools. By establishing a UNS, organizations can maintain consistent and accurate data flows, ensuring that all stakeholders, from engineers to executives, are equipped with reliable information for decision-making.
In conclusion, the journey from raw data to actionable insights is fraught with potential pitfalls. Ensuring that data remains transparent and retains its integrity across all stages is vital. By addressing these challenges, engineers can leverage data more effectively, leading to informed decisions that drive operational excellence.
