Delaware North, one of the largest privately held hospitality and gaming operators in North America, is leaning on analytics software from Tangam Systems to change how its teams read and manage casino floors. In a conversation with CDC Gaming, Michael Carruthers, Corporate Vice President of Gaming Operations at Delaware North, described a shift away from gut-feel reporting toward decisions grounded in data. The centerpiece of that shift is Tangam’s SODA platform, now in use across the operator’s properties. The stakes are practical: faster calls on table mix, pricing, and staffing.
What Delaware North’s Analytics Bet Means for Operators
Before the details, the short version. This is a story about an established operator deciding that instinct alone no longer cuts it on a modern casino floor.
- Subjective reporting is being retired in favour of a data layer that pins decisions to measurable floor performance rather than a manager’s read of the room.
- Speed is the point. Carruthers frames SODA as a way to reach quicker conclusions across multiple properties without waiting on manual analysis.
- The move signals a wider vendor trend: table games optimization is catching up to the slot analytics that operators have relied on for years.
- Standardisation across properties gives corporate teams a common yardstick, which matters when you manage floors in different jurisdictions.
- For competitors, the harder question is whether sticking with legacy reporting leaves them a step behind on yield.
From Manager Intuition to Measured Yield
For decades, table games management leaned heavily on experience. A pit boss knew when to open a table, when to raise a minimum, when to send dealers home. That knowledge is real, but it does not scale cleanly across a portfolio, and it rarely leaves a paper trail a corporate team can audit.
Tangam’s SODA platform targets exactly that gap. It aggregates floor data to guide decisions on table utilization, bet limits, and game mix. The pitch to operators like Delaware North is straightforward: replace the argument over what feels busy with a number that shows what actually happened. In practice, that means a supervisor can adjust the floor based on demand patterns rather than a hunch about tonight’s crowd.
Carruthers points to speed as the clearest gain. When reporting is manual, the analysis often arrives after the moment to act has passed. A platform that surfaces the same insight in near real time changes the tempo of floor management entirely. Whether every property adopts the recommendations with equal enthusiasm is another matter (adoption, not software, tends to be the real bottleneck).
Why Table Games Analytics Matters Now
Slot floors have been data-rich for years. Every spin is logged, and operators have long optimised machine placement and denomination mix accordingly. Table games lagged, partly because live play is harder to instrument and partly because the culture of the pit resisted it.
That gap is closing. Labour costs have climbed, margins are under pressure, and operators are being asked to justify every open table and every scheduled dealer. Analytics that tie floor configuration to actual demand give management a defensible basis for those calls. The result: a table floor that starts to look, operationally, a lot more like a slot floor.
Delaware North’s decision to deploy the tool across properties rather than pilot it in one venue suggests confidence in the underlying approach. You can read more about the operator’s broader gaming operations through Delaware North’s hospitality and gaming division, which spans venues across multiple states and jurisdictions.
Where the Platform Fits in the Operations Stack
SODA sits alongside the reporting and player-tracking systems most operators already run. It does not replace them. Instead, it layers optimization guidance on top of the raw data, turning logs into recommendations a supervisor can act on.
| Capability | What It Addresses | Operational Payoff |
|---|---|---|
| Table utilization analysis | Idle or overcrowded tables | Better match of open tables to real demand, reducing wasted labour hours |
| Bet limit guidance | Static minimums that ignore demand shifts | Dynamic pricing that responds to floor conditions rather than a fixed schedule set at open |
| Game mix optimization | Underperforming game types | Floor layout weighted toward what players actually play |
| Cross-property reporting | Inconsistent metrics between venues | A shared standard corporate teams can compare directly |
The vendor behind the platform positions itself around this table-games niche. Operators evaluating similar tools can review Tangam’s casino floor optimization software to compare feature sets against their own reporting stack.
The Business Case, and Its Limits
Analytics platforms live or die on adoption. A tool is only as good as the willingness of pit staff to trust it over their own read of the floor. That cultural shift is arguably the harder part of any deployment, and Carruthers’s emphasis on moving beyond subjective reporting is a quiet acknowledgement of the resistance such tools often meet.
Still, the direction is clear. Operators facing tighter margins want every table justified by data, and vendors are racing to supply the layer that makes that possible. The precedent Delaware North sets gives other multi-property operators a reference point they can point to when building their own case internally.
What remains less clear is how far this reshapes the role of the floor manager. If the software calls the shots, what does the pit boss become?
Frequently Asked Questions
What is Tangam’s SODA platform?
It is a casino floor analytics and optimization system that turns table games data into actionable guidance on utilization, bet limits, and game mix, helping operators make faster, data-driven decisions.
Why is Delaware North adopting it?
According to Michael Carruthers, the operator wants to move beyond subjective reporting and reach quicker decisions across its properties. Speed and consistency are the stated priorities.
How does this differ from slot analytics?
Slot floors have been data-driven for years because every spin is logged automatically. Table games have historically relied on manager judgement, so applying comparable analytics to live play closes a long-standing gap.
Does the platform replace floor managers?
No. It supplies recommendations that supervisors can act on. The human still runs the floor, but with a measured basis for the decisions that used to rest on instinct.
