I'm stuck in a project of creating a data analysis of the performance of the products sold in a restaurant.
I have:
the selling data base - product, qty sold per day, unit of the restaurant, shift - extracted via SAP Business Objects;
the menu data base - which products are currently in the menu in each unit of the restaurant - created by the restaurant unit based on the actual menu;
the products data base - which products are registered in the system and respective ids - extracted from the system.
All these data bases were extracted in .xlsx.
Now I don't know how to proceed, what are the next steps.
Anyone with a step-by-step guide of a similar project, or maybe interested in developing this project together?
The main objective is to publish this analysis in the Power BI to the C-level.
Related
I am more familiar with Excel but want all my information in Notion since it’s so powerful.
I’m trying to track weeks of results for multiple individuals on a team. I would like to see a team view but also see the individual performance on a weekly basis.
I want to have the information from each team member rollup to the database that has the sum of all teams for that particular week.
Team page
Teammate 1
Teammate 2
I'm working on an integration between Salesforce and Netsuite.
The company I work for uses 'versions' of products, for example Custom Laptop v1.0, Custom Laptop v2.0.
From what we've seen, Netsuite doesn't really like to group these products at all - they're all just individual products with no relevance to each other.
This makes it difficult when placing orders via Salesforce as the salesperson and customer isn't bothered about what version of the product they're buying, we just want the process to be -
Order placed for Custom Laptop in Salesforce
Order goes to Netsuite
Warehouse team picks product and decides which version to pick, which stock pool it comes from
Order is fulfilled
Is there anything in Netsuite that would allow a 'grouping' of products? I looked at product kits but this seems more manufacturing based.
It sounds like Lot Numbered Inventory Items would work for you here. With lot numbered items, you have a single item and define multiple 'lots' which can be named anything you'd like.
You would have a single item record in NetSuite (Custom Laptop). When an order is placed for that item, your warehouse determines which lot to choose from (v1.0, v2.0, v2.1, etc). The lot number is entered on the Item Fulfillment and the order is shipped.
#mike-robbins' solution would be the way to go if you have fixed inventory of each item. I'm not sure you can receive multiple duplicate lot numbers though.
What I have done in situations similar to this is to create assemblies and turn on assembly versioning. An assembly can have a single component so in your case the minimum components of Assembly 'Laptop' would be
Component Qty Revison
-----------------------
Laptop v1 1 A
Laptop v2 1 B
Version A would have only Laptop v1 and Version B would have Laptop v2. The assembly could also contain any common things where tracking stock or COGS is desired.
I am working on a research project where we are trying to build a machine learning model for a disease prediction. For this we have data from hospitals around the country. The problem is each hospital is having their own database model(RDBMS, Nosql), different column names for patient records. Are there any solutions available on how to integrate all this data to create a machine learning on top of it?
This is the scenario i have:
im developing a web app that will list down all the details of a car that the user picks from a list. I have a database of all car models, makes, sizes, prices etc. Besides i also have the price trend for the past 5 yrs. You may assume that i have a few of such tables and the data volume is about 10s of thousands of records.
My online application should be able to let the user pick his choice of one car model and optionally provide his address. With just this user input, i want to be able to generate a pdf report with the following information:
Comparison of selected car model with other cars manufactured in the same country. (e.g, if user selected, honda, i want to compare it with toyota, which comes from the same country)
Comparion of selected car with other car of similar type (eg. sedan vs sedan)
Price trend of the car for the last 5 yrs - Nearest car workshops in user's neighbourhood within a radius of 10km (if user has given me his address)
i will be drawing out several other data from my database.
I would like to present this report instantly, say within 3 minutes to the user. So now the question, is, what software/tools/program/database etc should i be using, taking in consideration the huge amount of data and the need to present this in the fastest possible time as a pdf report?
There are whole lot of possibilities. You can use PHP (or) Java (or) .Net (or) so on...for web application, MySQL, SQL Server, Oracle etc., as database (If data is really big and grows like anything daily you may consider Hbase also) It dependency on how soon you want your product out in the market and how much scalable it should be and how much comfortable you are with any of those technologies.
Some technologies support nice user interface, some may not but strong in other area of web application.
How much money/time you have for development, licensing also plays role in deciding answer for this question.
In my MSC research, I have to build an eCommerce app (like Amazon, eBay, etc) but a location based one . I need a freely available sample data for the store. So is there some freely available dataset available that represents a set of products, like groceries, movies, books, cars, apps, electronics, weapons, library, etc? .I need its size to be adequate for analysis. I need a database with at least 200 customers , 1000 products of different categories and 1000 orders. The customers data have to include information such as age, sex, location, education.
You could try the Microsoft Contoso BI Demo Dataset. I have not used it, so I do not know if it will meet all of your requirements. However, given that it is used to demonstrate BI functionality across all of MS' BI products, one would hope it was fairly comprehensive.