KPI Comparative Analysis Business Intelligence BI Tool ChatGPT Data Modeling NULL Report Analytics 17.7% Spark -lines Windows Power Analysis 71% Data Source ETL Data Mart Machine Learning 0,1,2,3,5, 8,13,21, 34,55,89 Cubes TDE 250,000 Metadata 59 Million Algorithms Analytics Maturity Model Data Cleansing Scorecard Data Mining R Dashboard Big Data Engineer Outliers Random Forest In-Memory Processing Data Integration Time Series Agile Drill- Down/Drill- Through Java Data Warehouse Big Data Prescriptive Analytics Descriptive Analytics MDM BI Governance SMART Goals Predictive Analytics AI OLAP Conditional Formatting Data Governance Dimension Change Control Data Visualization Snowflake Ad-Hoc Reporting SPC Azure Python Normalization Fact Source Marts Self- Service BI KPI Comparative Analysis Business Intelligence BI Tool ChatGPT Data Modeling NULL Report Analytics 17.7% Spark -lines Windows Power Analysis 71% Data Source ETL Data Mart Machine Learning 0,1,2,3,5, 8,13,21, 34,55,89 Cubes TDE 250,000 Metadata 59 Million Algorithms Analytics Maturity Model Data Cleansing Scorecard Data Mining R Dashboard Big Data Engineer Outliers Random Forest In-Memory Processing Data Integration Time Series Agile Drill- Down/Drill- Through Java Data Warehouse Big Data Prescriptive Analytics Descriptive Analytics MDM BI Governance SMART Goals Predictive Analytics AI OLAP Conditional Formatting Data Governance Dimension Change Control Data Visualization Snowflake Ad-Hoc Reporting SPC Azure Python Normalization Fact Source Marts Self- Service BI
(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.
KPI
Comparative Analysis
Business Intelligence
BI Tool
ChatGPT
Data Modeling
NULL
Report
Analytics
17.7%
Spark -lines
Windows
Power Analysis
71%
Data Source
ETL
Data Mart
Machine Learning
0,1,2,3,5,
8,13,21,
34,55,89
Cubes
TDE
250,000
Metadata
59 Million
Algorithms
Analytics Maturity Model
Data Cleansing
Scorecard
Data Mining
R
Dashboard
Big Data Engineer
Outliers
Random Forest
In-Memory Processing
Data Integration
Time Series
Agile
Drill-Down/Drill-Through
Java
Data Warehouse
Big Data
Prescriptive Analytics
Descriptive Analytics
MDM
BI Governance
SMART Goals
Predictive Analytics
AI
OLAP
Conditional Formatting
Data Governance
Dimension
Change Control
Data Visualization
Snowflake
Ad-Hoc Reporting
SPC
Azure
Python
Normalization
Fact
Source Marts
Self-Service BI