I have a form that captures production data for a certain process. When a employee enters production numbers, currently I am not sure what the time frame for the production numbers are.
E.g. Employee A enters a production number of 50 on 2017/10/02. This 50 represents the production of 1 day (2017/10/01). Now, employee B enters 550 on 2017/10/03, but this represents production for the week of 2017/09/24 to 2017/10/01.
Now, we know that various employees will be providing data of different time frames, but I'm trying to figure out the best way to manage this. I capture data using a Excel sheet with VBA, and then transfer it to a SQL database. Currently, in the database we use GROUP BY to get all data related to a certain month. So if the timestamp of the data is in September, all September data will be summed and the total used as the September total to date. However, this does not answer two key points:
If data for September is entered in October.
If data is entered that duplicates a period for the employee that was entered earlier.
What is the best way of managing this? I can change my capturing form and the way we manage data in the database.
EDIT and more information:
The information I want to capture consists of production numbers from various production areas entered by an employee. So for example, site A will have 3 sub-sites. These sub-sites will each have a production achieved, target for the period and forecasted production number.
Timestamp: Site: Sub-site: Production: Target: Forecast:
2017/10/01 PlaceA Line1 200 250 230
Related
I have a firestore database that looks like this
/entries/ ....
/users/{userid}...
a bunch of documents is being sent into ... of entries and userid contains on 8 docs of user profile information.
my problem is that the entries doc contains field hours and no relation to the user doc which contains the field weekly_capacity
I need to aggregate this the two fields hours/weekly capacity setting them to Full-time equivalency variable
But the Full-time equivalency needs to be accurate and this company FTE can change so it would need to calculate the FTE over various date even if the user changed their FTE status x number of times.
And the current app only fetched the entries when the user logins into the app, which can be whenever.
None of the API requests that I am using will give me a json that holds both weekly_capacity and hours on the same fetch. If every time a user logs into the app firestore calls the http to fetch all entries then how can I compare the hours field on the collection's entries to the weekly_capacity field
Just a little context: FTE = Full-time equivalency and is used to measure as a standard to see if an employee compares to there core commit hours they signed up for which is 40. SO if I agreed to work 40 and I work actually work 40 hours then I would be 1 whole FTE. If I worked 20 and I suppose to work 40 I am .5 FTE. The math is really simple it's just that in my situation the variable FTE can change any time and the app will allow the user to enter a range of dates fetching the total actual hours they worked and FTE letting them know how many hours they were supposed to work vs how many hours they actually worked. Since the variable changes, I need some way in firestore to track the change and aggregate correctly against the hours actually worked. To give an error example: let's say I changed my FTE from 1 to .7 on March 20th, I then want to generate a report of March 1 to March 30th stating my hours worked and FTE status meaning did I reach my goal. The kicker is that I can't fetch or merge the entries which hold the var hours and /users/ which hold the var weekly_capacity.
I don't even think a cloud function would solve the problem since entries are only fetched when the user logins in right?
I'm assuming the following for answering your question.
Requirement: To calculate FTE for a user when user's weekly_capacity is updated or user logs in.
Problems:
Some way in firestore to track the change.
Calculate FTE correctly according to the change.
Here's what I think will solve the problems.
Google Cloud Firestore supports listeners for the collections in which you store the data. So you can listen for any change in users collection and entries collection. This is how you can track the change.
To calculate FTE, when a change is made to weekly_capacity of user document or a new entry is made to entries collection you need to query both collections separately to get the records corresponding to the user affected. You can also use a collections-group query for this purpose but that depends on your database design.
Hope that helps.
I'm trying to develop a new reporting module for a resource management tool (PHP+Mysql).
I am trying to extract data in the following format from mysql:
I have a table that consists of date and location of multiple people(i.e Office, Home or Client).
Sample Data as in DB.
here date_plotted means the date at which the user is engaged and plotting_date represents when this particular entry was made in the system(the date). So User was plotted to be in office on 30th Oct and the same entry was made on 30th Oct.
Data as in resource table
The resource table represents the user table.
Any suggestions on how to do the same in mysql?
These are the primary tables which needs to be used.
The above table id done in excel for now to represent the outcome.
I'm new to SQL so haven't tried anything yet.
There is a tool for Windows that might simplify this operation. It's made by MySQL and called MySQL for Excel. In theory it should allow you to structure and make changes to MySQL databases as well as perform queries that result in spreadsheets.
Without knowing more about your data, for example being supplied an actual csv file to work with, and the parameters of the actual pull, whether it's fix dates always or if this is a dynamic pull based on a range this question could result in 100 different implementations that visually return similar results, but have massively different requirements overhead-wise in implementation.
I receive csv files at the end of each month from my customer for each of their KPI (for example csv's for resumes received, candidates joined, candidates resigned, sales, profits, loss , etc) for that specific month.
I want to be able to query this data inorder to generate reports for any month, day or year. This report will be generated dynamically i.e the admin would specify what rows he would like to have in a report (for eg a report with applications received, applications shortlisted, candidates shortlisted after the 1st interview for the period of jan to july.) for any period of time.
What would be the best way to store the data into my database in order to generate such reports? I am using Mysql as my database.
I am not sure if I would need to flush out the old data from my tables currently. So considering that I keep all the data persistent, what would be the best suited database design for this?
Currently what I do is I have a table for each of their KPI. This table has got a date field which I am using to generate the report. But I am looking for a more optimized way.
Thanks in advance.
It is better to store those values (month or year related values ) in a "Date" type fields which would not need any other manipulation while building reports. The conditions or logic for the specific period of time should be handled in your front end. In this case, the usage of Date field is the optimized way.
First - thanks for your time. My issue lies in my new usage of Access for tracking values from weekly excel reports. Each week I'm given a new excel file with updated values for about 50 employees. These values generally track their performance over 6 different metrics. I've begun to link these excels into an access database to keep and track that data each week. These linked tables are given the name convention of the date that the data is as of - example: 05-05; 05-12; 05-19, 05-26; etc.
My question is - is there a way to build a query to track the change (difference in values) from last week to this week (05-19 to 05-26), automatically? And also taking into account future additions of linked tables so that I don't have to add a piece to the query each week?
In addition, I'm looking to track overall change - first table 05-05 to the most recent linked table (which ever date that's true for, whether it's the end of July, or the end of the year).
Based on these 2 results, I'd eventually build out the query to show every week with their value and in the next column the week over week change (up down or neutral)
I am just learning Access and have been tasked with creating a database for system access. We need a report that shows what systems have been in a pending status for 0-30 days, 31-60 days, 61-90 days, and 91+ days. I am soooo close to getting this but I’m at a dead end. For the examples below I will just use NFC and eOPF as the systems (there are five systems in all).
So the report would read like this:
Pending Date...0-30...31-60...61-90...90+
NFC....................1.........4..........8........1
eOPF..................2.........5..........1........0
I have the table setup with a status field for each group (i.e. NFC Status = “Pending” or “Complete”)
I have another field that has a date submitted (i.e. NFC Submitted Date = “XX/XX/XXXX”)
This is what I have done. I am only sharing this to give an idea of the direction I was heading. If there is a better way please let me know.
I created two quires (NFC Requests & eOPF Requests)
The first row field in the query is the status (i.e. NFC Status) with Criteria =”Pending”
The second row is the 0-30 days with the field of NFC 0 - 30 Days: Sum((IIf([Systems Access - Table]![NFC Form Date Submitted]>Date()-31,1,0)))
The third row is NFC 31 - 60 Days: Sum((IIf([Systems Access - Table]![NFC Form Date Submitted]Date()-61,1,0)))
Etc, etc.
So I have two quires that give me that data I need and they work. Now, I need to figure out a way to combine the quires by changing the fields that calculate NFC and eOPF separately and calculate them together.
I tried to build a summary request report but it wants to push the totals for eOPF over and I can’t line them up.
It looks like this:
Pending Date...0-30...31-60...61-90...90+...0-30...31-60...61-90...90+
NFC....................1.........4...........8........1
eOPF..............................................................2.........5.........1.........0
I’m getting frustrated and could really use some help.
Justin
I think what you are looking for is a "crosstab" query google a nit and you'll find many good examples for ms access.
This is one that helped me alot.
http://www.paragoncorporation.com/ArticleDetail.aspx?ArticleID=25