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Excel workbook that reads two pasted reports and outputs a categorised breakdown, how would you build it?

Our take

Building an Excel workbook to automate your daily breakfast briefing can streamline your workflow significantly. Start by pasting the Meal Plan report into Tab 2 and the In-House Guest report into Tab 3. In Tab 1, you'll create a classification system that automatically cross-references both reports, categorizing guests based on their breakfast entitlements. Consider using XLOOKUP for efficient lookups and explore Power Query for a cleaner daily refresh. For further insights on Excel features, check out our article on "Charts are black and white."

In the ever-evolving landscape of data management, the integration of automation into everyday tasks is not just a convenience but a necessity—especially in fast-paced environments such as hotel operations. The challenge presented in the article about building an Excel workbook that automates the daily breakfast briefing underscores the ongoing need for innovative solutions that streamline processes and enhance productivity. By cross-referencing two distinct reports and categorizing the data efficiently, this approach exemplifies how even conventional tools like Excel can be transformed into powerful allies in managing complex information. This aligns with broader trends in workplace efficiency, where tasks are becoming increasingly data-driven and automated.

The situation described highlights several common pain points in data handling, including data entry errors, the need for accuracy, and the time-consuming nature of manual processes. By using Excel to create a clear framework for categorizing breakfast charges based on specific criteria, such as rate codes and meal plan names, the proposed solution offers a glimpse into how businesses can leverage existing tools for enhanced operational efficiency. Such automation can significantly reduce the burden on staff, allowing them to focus on delivering exceptional service rather than being bogged down by administrative tasks. It’s similar to the issues discussed in articles like Expand Cell Styles Ribbon and Charts are black and white, where understanding the fundamentals of Excel can lead to improved outcomes and user experiences.

Moreover, the complexity of the task at hand—such as managing varying data formats across reports and ensuring that seasonal changes in rate codes are easily accommodated—illustrates the importance of adaptability in data management tools. By proposing a settings tab that allows for easy updates to the classification rules, the workbook design not only provides immediate solutions but also anticipates future needs. This kind of forward-thinking is essential in today’s data-driven environment, where the ability to pivot quickly can differentiate between success and stagnation.

As we look towards the future, the implications of this approach extend beyond just the breakfast service in a hotel. It raises important questions about the role of traditional spreadsheet software in modern business operations—will we continue to rely on these legacy tools, or will they evolve to incorporate more advanced functionalities typically seen in dedicated data management systems? Furthermore, as users become more comfortable with automation, we may witness a greater demand for seamless and intuitive solutions that empower them to manage their data without the need for extensive training. The potential for tools like Excel to integrate with emerging technologies could redefine our expectations around data management, making it more accessible and user-friendly.

In conclusion, the endeavor to automate the breakfast briefing process serves as a microcosm of a larger trend in the workplace: the quest for efficiency through automation. As businesses continue to seek ways to optimize operations, the ability to adapt existing tools to meet new challenges will be paramount. How we leverage technology in our day-to-day tasks will likely shape the future of work, inviting us to explore innovative solutions that enhance productivity and streamline processes.

I'm trying to build an Excel workbook that automates our daily breakfast briefing (context: breakfast service in a hotel). The intention is: every morning I paste two system reports into Tab 2 and Tab 3 (one report per tab), and Tab 1 automatically cross-checks the data from both and gives me a clean breakdown for the breakfast team, no manual work.

The two reports I paste each morning

- Tab 2 — Meal Plan report (BJMPGR): room number, guest name, rate code, meal plan name, PAX count

- Tab 3 — In-House Guest report: room number, guest name, rate code, group/company name, reservation note (e.g. "RB" = company covering room & breakfast, "ALL" = all charges covered by company)

What Tab 1 needs to show — four categories

  1. Breakfast included in rate — certain rate codes (BB, MPOBB, WINTER package etc.) always include breakfast. No charge needed.

  2. Company pays — post to folio — reservation note in Tab 3 contains "RB" or "ALL" as a whole word. Charge needs posting to company account.

  3. $24 access — guest pays — meal plan name in Tab 2 contains "Corporate Discounted Breakfast" or similar keywords. Guest pays $24/cover.

  4. Pre-booked — already posted — guest added breakfast themselves. Revenue already in their account. No action needed.

Complications making this tricky

- The WINTER package creates two rows per guest in the meal plan report (breakfast + barista coffee) — the coffee row must be excluded so covers aren't double-counted

- PAX column format is "2 / 0" — needs parsing to extract the number

- Room numbers come through as integers in one report and need to match as text across both via lookup

- Rate codes and meal plan keyword names change seasonally — ideally the rules should be editable from a separate settings tab without touching any formulas

Questions

  1. What's the cleanest way to cross-reference two pasted tables and classify rows based on values from both — XLOOKUP + IF chains, or something better?

  2. For "first match wins" keyword lookup against a settings table, is AGGREGATE(15,6, ROW/ISNUMBER(SEARCH(...))) the right approach, or is there a simpler method?

  3. Would Power Query handle this more cleanly than formulas for a daily paste-and-refresh workflow?

  4. Any thoughts on the overall structure — paste zones in Tabs 2 & 3, hidden logic tab doing the classification, display tab pulling results?

  5. If on Excel 365, would FILTER + SORT be cleaner than AGGREGATE for pulling and sorting rows per category into Tab 1?

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