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