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I am running GLPI in production and need a specialist who can both stabilize the platform and extend its reporting capabilities. we have a bug which need to fix 2. we wanted to upgrade the GLPI (v10.0.18 to 11 ) 3. do customize couple of reports . Report required : using Meta dashboard • Tickets Created (weekly): • Tickets Resolved (weekly): • Backlog / Open Tickets: technician wise ticket list weekly Tickets per Analyst per Day: Normalizes volume by headcount

I need an interactive Power BI dashboard that lets our team grasp operational efficiency at a glance. The emphasis is less on cramming in every possible visual and more on presenting the information so anyone—from frontline supervisors to executives—can instantly read, filter, and understand it. My core goal is clear, intuitive report display and understanding. Once the model is in place I should be able to slice results by date, team, and location without waiting for new queries or edits. You’re free to recommend the visual types that best communicate the story; the key requirement is that they remain consistent, on-brand, and easy to interpret. I will supply the raw operational data in Excel and CSV. If calculated columns, DAX measures, or a star-schema redesign will ...

I need a set of interactive Power BI dashboards built from our telephone system’s API. The goal is to surface core call-center metrics—call duration, number of calls, call resolution time—and several additional KPIs we will define together, then publish these insights for teams across Customer Service, Sales, and any other department that touches the phone. Here’s what I’m looking for: • Connect directly to the API, pull and transform the raw call logs, and design a clean data model that supports easy filtering by date, queue, agent, and department. • Build visually clear report pages that highlight the metrics above and leave room for the extra KPIs we agree on. • Configure scheduled refreshes so every team always sees up-to-date numbers w...

My goal is to see, in one place, exactly which clicks, campaigns, and touch-points generate revenue. I already use Google Analytics 4 as the central platform, so the engagement begins with configuring a clean GA4 property, linking it to Google Ads, and pushing every relevant event through the data layer. Please structure the implementation so the following conversion goals surface clearly in GA4 and can be imported as Google Ads conversions: • Form submissions • Product purchases • Newsletter sign-ups From there, I need a full sales-funnel analysis that follows each user from first ad impression to final purchase (and any post-purchase upsell), complete with audience segmentation and attribution modeling that compares last-click, data-driven, and custom multi-touch ...