By Role | Operations
Power BI for Operations Analytics
The COO and operations team see project execution, SLA, resource utilization, and on-time delivery in real time. No more "the report will be ready tomorrow" — the operational picture is available now, without manual consolidation from ten spreadsheets.
Capabilities
7 KPIs the COO Tracks in a Single Dashboard
The COO should not wait for the weekly operations report or consolidate data from five systems just to understand how the company is performing right now. Operations Dashboard delivers an operational pulse in real time — and flags where business risks exist.
01
Project Execution
RAG status and progress of all active projects: completion percentage, schedule and budget deviations. You see the entire portfolio without reading individual PM reports — and know where immediate action is needed.
02
SLA Compliance
Percentage of Service Level Agreement fulfillment toward clients and internal SLAs between departments. SLA breaches and their causes — broken down by task type, team, and time period. The first signal of operational problems.
03
Resource Utilization
Current workload of each team and key employees. Where is there overload (bottleneck) and where is there capacity? Enables task reallocation before a delay becomes a fact.
04
Throughput
Number of completed tasks, requests, or units of work per time period, by team. Trend and comparison against the norm. A drop in throughput is an early signal of overload or an operational issue that can still be resolved.
05
On-time Delivery
Share of projects, tasks, and deliverables completed on time. Quarterly and annual trend. Breakdown by team and PM. The key operational metric for assessing reliability in fulfilling commitments to clients.
06
Open Tasks and Overdue Items
Number of open tasks by team, broken down by deadline status: on time, overdue by up to 3 days, overdue by more than 3 days. The trend of accumulating unresolved tasks — the first symptom of operational overload or process inefficiency.
07
⚠ Operational Costs
Actual operating costs relative to budget by team and function. Where is there overspending and why? Auto-calculation of "cost per unit of work" enables assessment of operational efficiency and supports or challenges the case for automation investment.
For Whom
Who Gets the Most Value
Operations Dashboard is for leaders responsible for operational efficiency and fulfilling commitments to clients.
COO / Chief Operating Officer
Your operations control panel. You see how projects are progressing, where there are delays, and where teams are overloaded — in real time, without weekly reports. The dashboard gives you time for proactive management, not crisis response.
Project Manager / Team Lead
Your daily team control tool. You see workload, throughput, and open tasks for each team member. You prioritize work based on data — and escalate risks to the COO in time, while there's still time to resolve them.
CEO / Business Owner
Operational efficiency directly impacts profitability and client satisfaction. You see on-time delivery and SLA without the details — and know when to ask the COO the right questions. Signals are visible before the client complains.
Integrations
What Connects to the Operations Dashboard
The dashboard connects to the operational systems and management tools already in use at your company.
Microsoft Project and Planner
Projects, tasks, deadlines, and owners from native Microsoft 365 integration. Progress and schedule deviation data updates automatically when tasks are changed.
Azure DevOps and Jira
For IT and product teams: sprints, velocity, open bugs, and tasks. We connect via the Azure DevOps connector or Jira API — for an operational dashboard for technical teams.
CRM and Service Systems
SLA data for service requests and client tickets from Dynamics 365 Customer Service or Help Desk. SLA fulfillment rate and breach reasons — built into the analytical model.
Excel and SharePoint
Operational plans, team KPIs, and budgets in Excel or SharePoint Lists. We connect for automatic plan vs. actual comparison without manual file updates.
Role-based access: the COO sees the full operations portfolio, a team lead sees only their team. Data stays within your Microsoft infrastructure.
Implementation Four Steps to Operations Dashboard — in 2–3 Weeks Your involvement is limited to two short meetings with our analyst. We handle the rest.
Week 1 Connecting to Operational Systems We get access to PM systems, Jira/DevOps, and service tools. We verify data structure. We run a KPI session with the COO — defining 7–10 key operational metrics.
Week 1–2 Operational Model We build the analytical model: SLA, throughput, resource utilization, and on-time delivery. We connect budgets and configure operational cost calculation by team.
Week 2 Launch in Power BI Service We deploy the dashboard in the cloud, configure role-based access, automatic refresh, and alerts for SLA breaches and critical team overload.
Week 3 Team Training We run a 60-minute workshop for the COO and team leads. We explain metrics, alerts, and filters. 30 days of support — included.
FAQ
Answers to Common Questions
Can Jira and MS Project be combined in a single dashboard?
How is SLA measured if there are no formal agreements?
Are dependencies between tasks and teams shown?
Can operational costs be tracked by project?
What Power BI license is required?
Ready to Launch Operations Dashboard?
The Company's Operational Pulse — in Real Time
In 2–3 weeks, the COO and team leads have SLA, on-time delivery, and team utilization in one dashboard. Operational risks are visible before they turn into commitment breaches — and there's still time to fix the situation.