Refinement of the standard report ABC-Analysis in 1C UT 8.3

It is necessary to compile a large and up-to-date database of contacts of Ukrainian scientists, educators, researchers, doctoral candidates, and graduate students using only open sources. The result should be in Excel or CSV format and contain at least full name, email, place of work (university or research institution), position, and a link to the source from which the contact was obtained. It is essential to minimize duplicates and, if possible, verify the validity of email addresses. For data collection, official websites of universities and research institutions, faculty profiles, department pages, institutional repositories, journals on the OJS platform, ORCID, OpenAlex, Google Scholar, ResearchGate, Crossref, PDFs of scientific articles, as well as other open academic resources can be used. The use of automation (parsing, API, Python, etc.) is encouraged if it does not violate the rules of the respective services. The main goal is to gather the most complete database of contacts from open sources.

A centralized server system for collecting and storing data from Planfix, 1C, Meta Ads, and Google Ads is needed, as well as a web dashboard for displaying and analyzing this data. All data, change history, calculations, and aggregated metrics must be stored exclusively in the server database. The dashboard should not store or duplicate business data. It must retrieve the necessary information from the server database via API according to user requests and display it in the form of KPIs, charts, tables, and detailed reports.

We are looking for support for a project based on Yii , we need to make edits and improvements to the database, there is partially a connection with the previous contractor .....................

It is necessary to migrate the database from CRM G-PLUS to MyChatBot Database volume - 26 thousand leads 2 funnels - Call center and Sales department with their own funnels Lead cards (besides name and number) have many different fields Leads also have voice recordings of calls. These also need to be transferred I expect an approximate amount and implementation timeline from the candidate

Create a dashboard for monitoring and analyzing the performance of the company's location network (branches) in Google Business Profile (GBP) through the official Google Business Profile API. Process via a script based on Google Apps Script (link to Google Sheets). Record data in Google Sheets (which serves as a database for Looker Studio). Update: Daily (with an indication of the last update date). Create a Google Cloud service account. The script runs once a day (trigger at 03:00 AM) and sends a request to the GBP API. It retrieves metrics for the previous day for each location (locationId). Records data in a flat format (row = unique combination of Date + Branch ID + Metrics). Key Performance Indicator CardsCard NameGBP MetricDynamic FormatProfile ViewsImpressions (Search + Maps)Percentage %, Sparkline (blue)CallsLocal Services Phone CallsPercentage %, Sparkline (green)Website ClicksWebsite ClicksPercentage %, Sparkline (purple)Direction RequestsDirection RequestsPercentage %, Sparkline (orange)Average RatingAverage Review RatingAbsolute change (e.g., +0.1), Sparkline (yellow)New ReviewsNew Reviews CountPercentage %, Sparkline (turquoise)