Dashboards pull from multiple systems Data cleaning took forever Documentation made a difference Siloed systems Data supports water budgets Scripts compensate for system gaps GIS linked to meters/accounts AMI + CIS finally integrated Real- time data We didn’t know where that data lived Customer portal in use Learned this the hard way Data didn’t align historically Different staff gave different answers CWOL reporting done manually Vendor limits discovered late Someone laughs at their own system We’re working on that RFP changed after lessons learned Repeatable workflows Had to write custom queries Demand forecasting mentioned Single source of truth Manual process Spreadsheet is the system of record Inherited legacy systems Data triggers customer messaging We have AMI… but don’t use it yet This isn’t perfect — but it works We paid to access our own data API limitations Data gaps in history It depends Staff ingenuity saved the day Defensible data Interoperability AI Incremental progress beats perfect systems Targeted conservation Dashboards pull from multiple systems Data cleaning took forever Documentation made a difference Siloed systems Data supports water budgets Scripts compensate for system gaps GIS linked to meters/accounts AMI + CIS finally integrated Real- time data We didn’t know where that data lived Customer portal in use Learned this the hard way Data didn’t align historically Different staff gave different answers CWOL reporting done manually Vendor limits discovered late Someone laughs at their own system We’re working on that RFP changed after lessons learned Repeatable workflows Had to write custom queries Demand forecasting mentioned Single source of truth Manual process Spreadsheet is the system of record Inherited legacy systems Data triggers customer messaging We have AMI… but don’t use it yet This isn’t perfect — but it works We paid to access our own data API limitations Data gaps in history It depends Staff ingenuity saved the day Defensible data Interoperability AI Incremental progress beats perfect systems Targeted conservation
(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.
Dashboards pull from multiple systems
Data cleaning took forever
Documentation made a difference
Siloed systems
Data supports water budgets
Scripts compensate for system gaps
GIS linked to meters/accounts
AMI + CIS finally integrated
Real-time data
We didn’t know where that data lived
Customer portal in use
Learned this the hard way
Data didn’t align historically
Different staff gave different answers
CWOL reporting done manually
Vendor limits discovered late
Someone laughs at their own system
We’re working on that
RFP changed after lessons learned
Repeatable workflows
Had to write custom queries
Demand forecasting mentioned
Single source of truth
Manual process
Spreadsheet is the system of record
Inherited legacy systems
Data triggers customer messaging
We have AMI… but don’t use it yet
This isn’t perfect — but it works
We paid to access our own data
API limitations
Data gaps in history
It depends
Staff ingenuity saved the day
Defensible data
Interoperability
AI
Incremental progress beats perfect systems
Targeted conservation