11 min read

Beyond Static Reports: How Real-Time Safety Dashboards Are Changing Client Conversations

When the only view of the program is a static snapshot, the honest answer is often “we’ll know when the next report comes in.” That is the gap real-time dashboards close.

Anshika Arora

Lead Data Analyst, UBC Analytics

For most pharmacovigilance programs, the monthly safety report is still the standard unit of oversight. A PDF arrives, the team reviews it, questions go back to the service provider, and the answers show up in time for the next cycle. On paper, nothing is missed.


In practice, that model keeps sponsors looking backward. By the time a monthly report lands, the data in it can be several weeks old. And the questions safety leaders get asked do not wait for the report calendar. An executive team wants to know how case processing is holding up after a spike in volume. A governance committee wants current compliance figures. A board meeting is on Thursday.


When the only view of the program is a static snapshot, the honest answer is often “we’ll know when the next report comes in”. That is the gap real-time dashboards close. The shift is not about producing more reports or better-formatted ones. It is about moving from retrospective reporting to proactive safety oversight, where clients have live, self-service access to their program data, and can make decisions when they need to.


We have seen this play out with UBC’s Tableau Analytics Dashboards. Internally, our teams describe them as “by far and above one of the best values we create”. Just as telling, clients bring them up on their own in capabilities meetings, without being prompted.

What real-time access delivers

A dashboard is only useful if it changes how people work. Here is what live access changes compared with a fixed monthly report.

Current data instead of a monthly snapshot

Dashboards draw on live data feeds rather than a point-in-time export. Refresh schedules are set around each program’s needs, from as often as every 10 minutes to every few hours, or on a weekly, monthly, or quarterly cadence where that fits better. Clients see where the program stands now, not where it stood at the last month-end close.

Earlier visibility into trends and exceptions

When safety and operational KPIs are visible as they move, trends and exceptions surface earlier. Teams can see a change in case intake, a dip in timeliness, or an area that needs attention while there is still time to act on it, rather than reading about it in next month’s summary.

One shared view for client and delivery teams

Client and UBC delivery teams work from the same current view of performance against agreed KPIs. Governance meetings spend less time reconciling numbers and more time on the issues that matter.

Fewer manual reports and one-off data requests

Between reporting cycles, stakeholders often need an answer that the last report does not cover. Without direct access, that means a data request, a manual pull, and a wait. Self-service access reduces dependence on manually compiled reports and ad hoc requests for both sides.

Drill-down from the headline number to what is driving it

A fixed report shows the number. Dashboards let users move from a high-level metric into the detail behind it. Standard filters narrow the view by product, region, case type, or time period. Interactive filters work directly on the charts: click a bar, and the entire dashboard updates to show data for that category. Teams can explore what is behind a trend in a few clicks rather than simply seeing that it moved.

Less lag between a signal and a decision

Put together, these capabilities shorten the time between something appearing in the data and someone deciding what to do about it. Data is available on demand ahead of a leadership or board meeting, not tied to when the next report is scheduled.

The evidence

The clearest signal that dashboards matter to clients is that they talk about them. Clients reference their dashboards, unprompted, in capabilities meetings. That is not something a monthly PDF tends to earn.

Adoption and efficiency tell the same story:

  • 28 active client implementations, with 4 more in the pipeline, as of October 2026
  • A standard suite of six dashboards that typically goes live within 3 to 4 days of receiving final client requirements
  • 30 to 40 minutes saved per project, per day, on higher-volume programs, depending on case volume

That last figure comes from our own delivery teams. Productivity dashboards let project teams track metrics and compliance briefly instead of extracting and verifying data in Argus by hand. On a high-volume program, a quick dashboard check replaces roughly half an hour of that work every day, time that goes back into case quality and client support.

How this plays out at the project level

Build and rollout

A dashboard build starts with the client’s oversight model, not a template. A typical rollout for a new client looks like this:

  1. Define what matters. Agree on the safety and operational KPIs the client’s governance structure relies on.
  2. Map and connect the data. Identify source systems and set up the feeds and refresh schedule.
  3. Build and validate. Configure views, filters, and drilldowns, and run data quality checks, so the numbers on screen match the underlying records.
  4. Set up access. Give each stakeholder group the views appropriate to their role.
  5. Launch and refine. Walk users through the dashboard and adjust based on how they actually use it.

Speed depends on the scope. UBC’s standard suite of six dashboards is typically live within 3 to 4 days once we have the client’s final requirements and the information we need. Custom dashboards, built around client-specific metrics, visualizations, or functionality, take longer depending on complexity.

Built to evolve with the program

Oversight needs to change as a program matures. A product moves into new markets, case volumes grow, or governance priorities shift. Dashboard views and KPIs can evolve with it, with new metrics and reporting requirements added as they come up rather than waiting for a report format to be redesigned.

One data set, different levels of detail

The same underlying data serves different stakeholders in different ways. Executives can track high-level oversight metrics, while safety operations teams work in the detail. Everyone draws from one source, so the story is consistent from the boardroom to the case-processing floor.

What it looks like in practice

A head of drug safety at a mid-size sponsor learns on Monday that the board will ask about safety operations on Thursday. Case volume rose after a recent launch, and the board wants to know whether processing is keeping up.


Under a monthly report model, the most recent numbers are in a PDF from the end of last month. Anything more current means emailing the service provider, waiting for a manual pull, and hoping it arrives before Thursday.

With a live dashboard, the head of safety filters to the last 30 days, sees that volume is up, but timeliness has held within target, and clicks into the product and region driving the increase. They walk into the meeting with current figures and a clear explanation of what is behind them.

What to ask when evaluating a partner

Most PV service providers now offer some form of reporting portal. The differences show up in the details. These questions help separate a partner built for on-demand data from one still running a fixed report cycle:

  1. How current is the data in the dashboard, and how often is it refreshed?
  2. Can we access data on demand, or are we dependent on a fixed reporting schedule?
  3. Can users drill down from high-level KPIs to the underlying data to understand trends or exceptions?
  4. Can views, metrics, and filters be configured around our specific governance and oversight needs?
  5. What data quality checks and controls ensure the information on screen is accurate and reliable?
  6. How quickly can new metrics or reporting requirements be added as program needs change?
  7. Can different stakeholders access views appropriate to their roles, from executive oversight to detailed operational review?
  8. What support is available to help us interpret trends and turn dashboard insights into decisions?

A partner built for on-demand data will answer these specifically: a stated refresh cadence, examples of configured drilldowns, a described validation process, and named people who help clients interpret what they see. A partner still running a fixed report cycle will tend to point back to the monthly report, describe the dashboard as a view of that report, or treat new metrics as a change request that takes months.

The value is decision-ready information

Access to data on demand is quickly becoming the baseline expectation for safety oversight. What still separates partners is how that data is delivered: how current it is, how much it can be trusted, and whether it fits the way a client governs their program.


The point was never simply to give clients more data. It is to give them trusted, decision-ready information when they need to act, whether that is a governance review, a leadership update, or a board meeting on Thursday.

See it for yourself. Connect with UBC’s pharmacovigilance team for a live dashboard walkthrough ahead of your next capabilities or board discussion. Request a walkthrough


About UBC
United BioSource LLC (UBC) is the leading provider of evidence development solutions with expertise in uniting evidence and access. UBC helps biopharma mitigate risk, address product hurdles, and demonstrate safety, efficacy, and value under real-world conditions. UBC leads the market in providing integrated, comprehensive clinical, safety, and commercialization services and is uniquely positioned to seamlessly integrate best-in-class services throughout the lifecycle of a product.

About the Author

Anshika Arora, Lead Data Analyst, UBC Analytics

Is a lead Analyst on the PV Data Analytics team, responsible for driving data analytics initiatives that support data-driven decision-making and strategic insights. My expertise spans data profiling, exploratory analysis, data storytelling, predictive modeling, and the design and development of interactive dashboards. I specialize in translating complex data into meaningful, actionable insights through intuitive visualizations and analytics solutions that support business objectives and enable informed decision-making.

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