Arcanary Tech
Data, dashboards and BI
Analytics, business intelligence and automated reporting.
Data, dashboards and BI at Arcanary
Arcanary's data and BI service gives leadership one reliable view of the business. We build data pipelines that pull information from your CRM, ERP, online store, ad platforms, spreadsheets and databases into a central warehouse such as BigQuery or PostgreSQL, clean and model it, and present it in dashboards in Looker Studio, Power BI, Metabase or a custom app. We define KPIs with each team, automate the weekly and monthly reports that used to take hours in spreadsheets, and set up alerts that flag problems, such as a drop in sales or a spike in costs, as they happen. With AI, teams can also ask questions about their data in plain language.
Delivered by Arcanary's senior Tech team
What's included
- KPI dashboards
- Data pipelines and warehouses
- Automated reports
- Alerts on key metrics
- Data modeling and quality
- Natural-language questions with AI
Outcome
Decisions based on real-time data, one view of the business and early detection of problems.
Example
A live sales dashboard by rep and region; a weekly KPI report emailed to management automatically.
Questions about Data, dashboards and BI
Which BI tool should we use?
Looker Studio is free and works well with Google tools, Power BI suits companies on Microsoft 365, and Metabase is a good open-source option. The tool matters less than the data underneath: we focus first on reliable pipelines and agreed definitions for each metric, then choose the visualization tool your team will actually use.
How long does it take to get a first dashboard?
A first dashboard from one or two data sources is typically ready in two to four weeks. Connecting more systems and building a complete view of the company happens in stages after that.
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- SIP / VoIP telephonyIP telephony, virtual lines, IVR, call recording and transcription.
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Have a technical problem to solve?
Tell us what's slowing your business down. A senior engineer will reply within one business day.