![\"\"](\"https:\/\/cdn.bap-software.net\/2026\/09\/02213755\/From-Scattered-Data-to-Smart-Factory.png\")
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Excel for production planning.
\nPaper forms for quality inspection records.
\nPhotos of machine issues shared via Zalo.
\nAnd at the end of the day, everything is collected and compiled into reports.<\/p>\n
This is still a familiar way of working in many factories.<\/p>\n
There is nothing wrong with Excel, paper, or Zalo. They are convenient, easy to use, and familiar to employees. However, as production scales up, a new challenge begins to emerge:<\/p>\n
There is plenty of data, but it is scattered across too many places.<\/p>\n
<\/p>\n
The production team has Excel files to track schedules and output.<\/p>\n
The QC team maintains separate quality inspection records.<\/p>\n
The warehouse uses another file for inventory, receipts, and shipments.<\/p>\n
When equipment malfunctions, the information may end up in a Zalo group chat.<\/p>\n
So when management asks:<\/p>\n
“How is the factory performing today?”<\/p>\n
The answer is not always readily available.<\/p>\n
Someone has to open Excel files, review reports, ask the QC team, check messages, and manually consolidate everything.<\/p>\n
And sometimes, a familiar question comes up:<\/p>\n
“Which file is the latest version?”<\/p>\n
The problem is not a lack of data. It is that data is fragmented and difficult to view as a whole.<\/p>\n
Imagine that at 10 a.m., production output on a manufacturing line begins to decline.<\/p>\n
The information has already been recorded. But if reports are only compiled at the end of the day, management may not discover the issue until 5 p.m.<\/p>\n
In manufacturing, a delay of just a few hours can affect production schedules, quality, and delivery commitments.<\/p>\n
So the important question is not simply:<\/p>\n
“Do we have the data?”<\/p>\n
It is also:<\/p>\n
“Can we see the data early enough to take action?”<\/p>\n
When people talk about DX in manufacturing, they often think of AI, IoT, or Smart Factories.<\/p>\n
But sometimes, the first step is much simpler:<\/p>\n
Scattered data \u2192 Centralized data<\/p>\n
For example:<\/p>\n
Separate Excel files \u2192 A shared dashboard
\nEnd-of-day reports \u2192 More frequent monitoring
\nSearching for information \u2192 Proactively identifying issues<\/p>\n
This is one of the key roles of a MES (Manufacturing Execution System).<\/p>\n
MES helps connect essential information about production, quality, equipment, and progress within a unified system, making it easier for managers to understand what is happening on the factory floor.<\/p>\n
This does not mean companies have to eliminate Excel entirely from day one.<\/p>\n
What matters more is identifying where data is stored, which tasks consume the most time in manual reporting, and what information needs to be visible sooner.<\/p>\n
From there, companies can gradually digitize their operations based on actual needs.<\/p>\n
BAP supports manufacturers in developing MES and factory DX solutions tailored to their actual operational processes. We also help businesses connect these solutions step by step with existing systems, IoT, or AI when needed.<\/p>\n
If your team still has to open multiple Excel files, check paper records, and search through messages every day just to answer:<\/p>\n
“How is the factory performing today?”<\/p>\n
It may be time to take a closer look at how your factory manages its data.<\/p>\n
👉 Explore BAP’s MES solutions and discover where your factory’s data may be getting stuck.<\/strong><\/p>","protected":false},"author":45,"featured_media":165022,"template":"","meta":{"_acf_changed":false},"tags":[],"blog-cat":[],"class_list":["post-165019","knowledge","type-knowledge","status-publish","has-post-thumbnail","hentry"],"acf":[],"yoast_head":"\n