Staff ingenuity saved the day We’re working on that GIS linked to meters/accounts Had to write custom queries Someone laughs at their own system Vendor limits discovered late Learned this the hard way Spreadsheet is the system of record Demand forecasting mentioned Incremental progress beats perfect systems Interoperability We have AMI… but don’t use it yet Different staff gave different answers Data triggers customer messaging This isn’t perfect — but it works Scripts compensate for system gaps AI Inherited legacy systems CWOL reporting done manually Real- time data Data cleaning took forever Defensible data Data didn’t align historically Data supports water budgets It depends RFP changed after lessons learned API limitations Targeted conservation Siloed systems Customer portal in use We didn’t know where that data lived Documentation made a difference Dashboards pull from multiple systems We paid to access our own data AMI + CIS finally integrated Single source of truth Repeatable workflows Data gaps in history Manual process Staff ingenuity saved the day We’re working on that GIS linked to meters/accounts Had to write custom queries Someone laughs at their own system Vendor limits discovered late Learned this the hard way Spreadsheet is the system of record Demand forecasting mentioned Incremental progress beats perfect systems Interoperability We have AMI… but don’t use it yet Different staff gave different answers Data triggers customer messaging This isn’t perfect — but it works Scripts compensate for system gaps AI Inherited legacy systems CWOL reporting done manually Real- time data Data cleaning took forever Defensible data Data didn’t align historically Data supports water budgets It depends RFP changed after lessons learned API limitations Targeted conservation Siloed systems Customer portal in use We didn’t know where that data lived Documentation made a difference Dashboards pull from multiple systems We paid to access our own data AMI + CIS finally integrated Single source of truth Repeatable workflows Data gaps in history Manual process
(Print) Use this randomly generated list as your call list when playing the game. There is no need to say the BINGO column name. Place some kind of mark (like an X, a checkmark, a dot, tally mark, etc) on each cell as you announce it, to keep track. You can also cut out each item, place them in a bag and pull words from the bag.
Staff ingenuity saved the day
We’re working on that
GIS linked to meters/accounts
Had to write custom queries
Someone laughs at their own system
Vendor limits discovered late
Learned this the hard way
Spreadsheet is the system of record
Demand forecasting mentioned
Incremental progress beats perfect systems
Interoperability
We have AMI… but don’t use it yet
Different staff gave different answers
Data triggers customer messaging
This isn’t perfect — but it works
Scripts compensate for system gaps
AI
Inherited legacy systems
CWOL reporting done manually
Real-time data
Data cleaning took forever
Defensible data
Data didn’t align historically
Data supports water budgets
It depends
RFP changed after lessons learned
API limitations
Targeted conservation
Siloed systems
Customer portal in use
We didn’t know where that data lived
Documentation made a difference
Dashboards pull from multiple systems
We paid to access our own data
AMI + CIS finally integrated
Single source of truth
Repeatable workflows
Data gaps in history
Manual process