- Separate measurement files
- Manual data reconciliation
- Missing data detected late
- E-mail error handling
Energy measurement-data case study
Sample project for automatic collection of production and consumption data.
01 / STARTING POSITION
The operating situation that can be automated
The measurement files arrived from several sources at different times. Absences and unusual values were checked manually.
- Scheduled collection of source data
- Format and completeness check
- Rule-based indication of anomalies
- Exception handling with a designated expert
It is unifiedmeasurement data stream
Earliervisible data errors
Checkedexception handling
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Dynamics 365
Shopify
Power BI
Pipedrive
Zoho CRM
Zendesk
Freshdesk
Mailchimp
Brevo
ActiveCampaign
Calendly
Typeform
Jotform
Oracle NetSuite
Odoo
WooCommerce
UNAS
Shoprenter
Kulcs-Soft
NAV Online Invoice
DocuSign
Stripe
Barion
SimplePay
SharePoint
Google Drive
Dropbox
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Microsoft Teams
Jira
Asana
Monday.com
ClickUp
Trello
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Airtable
Looker Studio
MySQL
PostgreSQL
Microsoft SQL Server
REST API
Webhook
SFTP