Experience KPI Management like never before
Access, analyse and monitor your data with insightful KPI dashboards in one place.
Stay ahead with real-time KPI Dashboards that drive action
Easy for the users to set up and track the necessary KPIs.
- Flexible designer layout
- Combine multiple reports into tabbed dashboards
- Drag-and-drop designer
- Turn excel spreadsheets into dashboards


Give deep analysis by visualising complex data into easy-to-understandable forms.
- Interactive dashboards
- KPI visualisation through graphs, charts and dashboards
- Summary and tabular views
- KPI Drilldowns
Take control of your KPIs with Data Point dashboards
Do trend analysis and historical analysis with data.
- Manage vast amounts of data
- Share and collaborate
- Robust KPI reports from all the data


Give instant notifications and suggestions to address performance issues.
- Real-time alerts when KPIs hit critical thresholds
- Action recommendations
- Custom triggers
Continuously improve business processes.
- Pareto-driven analysis for process improvement
- Benchmark comparisons for competitive insights
- Root cause analysis using Fishbone and Cause-and-effect diagrams
- Improvement logs for continuous improvement

Choice of industry leaders and Fortune 500 companies








































































How does Data Point offer implicit KPI Management?
Data Point’s effective KPI management helps achieve your organisational objectives with clear timelines, measurable targets, and automatic progress tracking.
Embedded monitoring in daily operations
Integrates KPI tracking into everyday business activities with dashboards
Role-specific customisation
Tailor KPIs to individual roles and responsibilities.
Seamless integration with huddle boards
Facilitate implicit KPI management with tools like SQCDP and Gemba boards.
Turn your KPI data into actionable insights in real-time with Data Point
KPI Management Software: The Complete Guide to Smarter Performance Tracking
Learn how KPI Management software helps organisations convert spreadsheets into dashboards, customise KPIs, automate alerts, compare benchmarks, track improvements, drill into data, and improve performance visibility.
How does turning an existing Excel spreadsheet into a dashboard change the adoption curve for teams already relying on spreadsheets?
Most operational teams have some version of their KPI tracking already built in Excel, refined over months or years to fit exactly what they need to see. Asking those teams to abandon that structure and rebuild everything from scratch in a new system is a significant adoption barrier, and it is often where digital transformation efforts stall.
Converting an existing spreadsheet directly into a dashboard means the underlying structure the team is already familiar with becomes the starting point, not something they have to leave behind. This is what makes the transition from spreadsheet-based tracking to a live KPI dashboard less disruptive, since the team is not learning a completely new way of organising their data, only gaining the real-time and visualisation capabilities the spreadsheet never had
How do custom triggers for alerts differ from standard threshold-based notifications, and when does that flexibility matter?
A standard threshold alert fires when a KPI crosses a single fixed line, red below target, green above it. That works for straightforward KPIs but is too blunt for metrics where the meaningful signal is more nuanced, such as a KPI that only matters if it deviates for three consecutive periods rather than one.
Custom triggers allow the alerting logic to be defined around the specific pattern that matters for that KPI, rather than forcing every metric into the same simple threshold model. This is what prevents alert fatigue on metrics with natural short-term variation, while still catching the genuinely significant deviations that feed into KPI action plans rather than triggering a response every time a number moves slightly.
How do improvement logs create a searchable record of what has already been tried on a recurring performance issue?
Without a formal log, knowledge of previous improvement attempts on a specific KPI tends to live in the memory of whoever was involved at the time. When that person moves on or simply forgets the detail, a new attempt to address the same recurring issue risks repeating an approach that has already been tried and did not work.
Maintaining improvement logs against each KPI means that history is retrievable rather than dependent on institutional memory. This is where the log connects naturally to root cause analysis, since a team facing a recurring issue can check whether a similar corrective approach was already attempted and what the outcome was, before committing resource to trying it again without that context.
How do KPI drilldowns from a summary view into tabular detail support a conversation that starts broad and narrows quickly?
A review that starts at the summary level often needs to move into granular detail the moment a specific KPI is flagged as a concern, but if that detail lives in a separate report, the conversation must pause while someone goes to retrieve it.
Drilldown functionality means that transition from summary to tabular detail happens within the same view, without switching to a different report or waiting for someone to pull the underlying numbers. This keeps a review meeting moving at the pace the discussion needs, in the same way a huddle board review depends on moving quickly from status to specifics without breaking the flow of the meeting.
How does combining multiple reports into a single tabbed dashboard reduce the number of places someone has to check?
When related KPIs live in separate reports, reviewing them together means opening several files or dashboards in sequence and mentally reassembling the full picture. That reassembly step is where inconsistencies or missed connections between reports are most likely to go unnoticed.
A tabbed dashboard structure keeps multiple related reports accessible from a single interface, with each tab representing a different report or view. This means a reviewer moves between related reports within one session rather than closing one file to open another, which keeps the connections between them visible rather than lost in the process of switching contexts.
How does benchmark comparison change the meaning of a KPI that is technically hitting its internal target?
A KPI that consistently meets its internally set target looks like a success by that measure alone. Whether that target represents strong performance depends on how it compares to what similar organisations, or the same organisation's own past performance, are achieving.
Benchmark comparisons against industry standards or historical data give that internal target external or historical context. A KPI hitting its target every month might still be underperforming relative to industry benchmarks, which only becomes visible once that comparison is made rather than relying on the internal target as the only measure of success.
How does role-specific KPI customisation change what an individual sees compared to what their department sees in aggregate?
An individual working within a department is often measured, at least in part, by metrics that are department-wide aggregates rather than something specifically attributable to their own work. That mismatch can make it difficult for an individual to see how their own daily actions connect to the numbers they are held accountable for.
Tailoring KPIs to individual roles and responsibilities means the metrics shown to specific person reflect what is genuinely within their scope of influence, distinct from the broader departmental figures shown to their manager. This distinction matters for morale and clarity, since being measured against a number you can only partially influence is a different experience from being measured against one you can directly move.
How does sharing and collaborating on KPI data differ from simply distributing a static report to stakeholders?
A static report distributed by email is a snapshot now it was sent. Any discussion that follows happens in a separate thread, disconnected from the data itself, and any question about a number in the report requires someone to go back and check the source before answering.
Sharing and collaborating within the same platform where the KPI data lives, means the discussion and the data stay connected. A stakeholder reviewing a shared KPI view can ask a question or flag a concern in context, against the live figure, rather than in a separate email thread that has already drifted away from the specific number being discussed.
Hear it from our customers
Unlock your real-time KPI dashboard with Data Point
Access smart Data Point dashboards and real-time insights to track and improve performance.


