• Projects 30
  • Rating 5.0
  • Rating 5 747

Budget: 70000 UAH Deadline: 21 days

Evaluation of the pilot stage - 70,000 UAH, 21 working days. This is about preparing data from 1C to BigQuery, table structure, intermediate sets for Looker, calculations day - week - month - rating - deviation from the plan and access restrictions by users and teams.

We would start with a brief design of the data model - which entities we pull from 1C, how we update the data, where we calculate the metrics, how we check the correctness of the formulas. Next - loading into BigQuery, a layer of intermediate tables, access rights, test dashboards in Looker, and stabilization during the pilot. In general, it is normal to do this in layers every month, but it is important not to gather everything on fragile manual exports =)

To start, we need access to 1C or a description of the exchange method, a list of required fields, current formulas for plans and ratings, user roles, access to BigQuery and Looker. After agreeing on the model, a new functional layer can be added every month.

> Question - Is your 1C local or cloud-based, and what method of data export is currently available?
> Question - Should the rights work at the level of Looker, BigQuery, or in both places?

Similar cases Ingello

Mobile app with admin
  • Projects 5
  • Rating 5.0
  • Rating 673

Budget: 2000 UAH Deadline: 7 days

Hello, I have worked on integrating data from ERP systems into BigQuery for a retail chain with 50+ stores - I set up automatic loading of sales, inventory, and financial reports, processing 100K+ records daily.

Are you planning to use standard 1C APIs, or will custom solutions need to be developed for data export?

I suggest we get in touch; I will provide you with free technical consultation and we can create a development plan + I will tell you about my team!

  • Projects 4
  • Rating -
  • Rating 1 018

Budget: 75000 UAH Deadline: 30 days

Maya, hello! We have a ready solution that allows:
- to exchange data with various systems: to transmit structured data (with possible limitations), to receive information and process it, converting it into documents / directories
- to export or receive data from the registers of your accounting system for work and analysis through requests
- built-in AI tools that also allow receiving and processing data from accounting.
In any case, the module is just the start and the foundation for your task, so as not to "reinvent the wheel" - we will further address all issues regarding your request to achieve the final goal and objectives of your project.

Accounting robotics, business processes and notification
  • Projects 35
  • Rating 5.0
  • Rating 1 528

Budget: 10000 UAH Deadline: 20 days

Good day. I am doing similar analytics for PowerBI. I am writing an HTTP service that exports data via JSON. In BigQuery, you can export via ODBC. There is no faster way. And there are the same dashboards.

  • Projects 4
  • Rating 4.9
  • Rating 976

Budget: 10000 UAH Deadline: 5 days

Good day. My name is Dmytro. I have experience working with BigQuery, Looker Studio, ETL processes, integrations with 1C/BAS, and building analytical systems for business.
I can help with building a full-fledged data layer between 1C and Looker:
— data preparation and normalization
— designing table structures in BigQuery
— building intermediate datasets for dashboards
— automating data loading
— calculating KPIs (daily/weekly/monthly, ratings, plan/fact)
— setting up access and row-level security for teams and users
— optimizing query speed and stability
I can also support the pilot phase: correcting formulas, adding new fields, optimizing logic, and gradually scaling the system step by step every month.

  • Projects 11
  • Rating 5.0
  • Rating 1 773

Budget: 700 UAH Deadline: 3 days

Good afternoon! We have experience in building ETL processes for integrating 1C with BigQuery. We implement this through the configuration of connectors for data extraction, their normalization, and the design of table structures according to Looker's requirements. This will ensure the accuracy of analytics and high report performance. We would be happy to discuss the implementation details in a meeting.

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