Realtime dashboards

Realtime dashboards is a one-off project (with possible support): we connect sources that support operational data (streaming events, APIs, databases), set up near-realtime refresh and build operational dashboards for the needed metrics — online sales, leads, traffic, statuses, load. Honestly about 'real time', this is key: true 'realness' is limited by how fast the sources deliver data — some systems update with a delay (minutes, sometimes longer) or by API limits, so it is correct to say near-realtime, not 'second by second'; true streaming needs corresponding infrastructure (and its cost). Honestly about accuracy: the dashboard shows what comes from the sources — with wrong tagging or failures the data will be distorted (garbage in, garbage out). Honestly about the essence: this is visualization of the operational situation, NOT analysis, conclusions and decisions for you and NOT metric growth — the dashboard shows 'what is now', while reacting and improving is decided by you or your team; having a realtime dashboard does not raise sales. Honestly about the platform: BI/streaming services and near-realtime infrastructure are often paid — billed directly, separately. Maintenance: when sources change the dashboard needs upkeep. An important boundary: these are operational dashboards (what is now), not deep analytics (reports/analysis — separate), not monitoring with alerts (a separate service if you need alerts rather than just a screen) and not a regular period dashboard (Looker Studio — a smaller service). If you do not need real-time speed and a daily/weekly slice suffices, realtime is overkill and more expensive. Picture this: instead of 'we learn of an order spike or a lead drop the next day' the team sees it on screen at once (adjusted for source delays). The base price starts from 22,000 ₽ per project; it depends on sources and refresh-speed requirements.

• You learn of spikes and drops the next day, not now.
• There is no operational screen for the team/shift.
• Data updates once a day but decisions are needed faster.
• Campaign and operations status is not visible in the moment.

• Connecting sources with operational data (events, APIs, databases)
• Setting up near-realtime refresh
• Operational dashboards for the needed metrics
• A screen mode for the team/shift if needed
• Agreeing on metric definitions
• Flagging delays and data gaps
• Optionally dashboard support
• Handover of access and an instruction

• The team sees what is happening now (adjusted for delays)
• You notice spikes and drops faster
• An operational screen on unified metrics
• A base for fast reaction (reaction and analysis — separately)

• We clarify metrics, sources and speed requirements; collect access
• We set up near-realtime collection and build operational dashboards
• We verify delays and correctness, hand over access and an instruction

• Is it truly second by second?

  Usually near-realtime, not 'second by second'. The speed is limited by how fast the sources deliver data (delays, API limits). True streaming needs separate infrastructure and its cost — we honestly assess whether you need it.

• Will a realtime dashboard raise sales?

  No. It shows the operational situation, but by itself it does not raise the metrics. Reacting and improving is your team's job; growth is separate work, not a consequence of having a dashboard.

• How is this different from monitoring with alerts?

  A dashboard is a 'what is now' screen, it needs watching. If you need automatic alerts about problems without constant watching, that is monitoring with alerts, a separate service. They are often combined.