Ms SQL Girl

FEBRUARY 3, 2015

27 Mar 2015 8:30 AM – 5:00 PM. Early bird (until 13 Feb 2015) $265.00. Power Query 101 (for Power BI Dashboard). Publishing and Administering Dashboards and Reports in Power BI for the Organisation. Power Query 101 (For Power BI Dashboard). SQL Saturday 382 Brisbane, QLD. Regular price $315.00.

Dashboards 40

Dashboards KPI Interactive Publishing 40

Ms SQL Girl

FEBRUARY 3, 2015

27 Mar 2015 8:30 AM – 5:00 PM. Early bird (until 13 Feb 2015) $265.00. Power Query 101 (for Power BI Dashboard). Publishing and Administering Dashboards and Reports in Power BI for the Organisation. Power Query 101 (For Power BI Dashboard). SQL Saturday 382 Brisbane, QLD. Regular price $315.00.

Dashboards 40

Dashboards KPI Interactive Publishing 40

Ms SQL Girl

MARCH 30, 2015

Apr 10, 2015 7:45 AM – 5:15 PM. Early bird (until Apr 1, 2015) $99.00. Power Query 101 (for Power BI Dashboard). Publishing and Administering Dashboards and Reports in Power BI for the Organisation. Power Query 101 (For Power BI Dashboard). SQL Saturday 389, Huntington Beach, California. Register at [link].

Dashboards 40

Dashboards Visualization KPI Interactive 40

Ms SQL Girl

MARCH 30, 2015

Apr 10, 2015 7:45 AM – 5:15 PM. Early bird (until Apr 1, 2015) $99.00. Power Query 101 (for Power BI Dashboard). Publishing and Administering Dashboards and Reports in Power BI for the Organisation. Power Query 101 (For Power BI Dashboard). SQL Saturday 389, Huntington Beach, California. Register at [link].

Dashboards 40

Dashboards Visualization KPI Interactive 40

datapine

MARCH 31, 2022

The Bureau of Labor Statistics also states that in 2015, the annual median salary for BI analysts was $81,320. In a slightly more technically-driven role, a BI developer is responsible for building, creating, or improving BI-driven solutions that help analysts transform data into knowledge, including data dashboards.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Rita Sallam

APRIL 2, 2023

An autocorrelation forecasting model to identify parameter estimators, associated with relevant variables, that impact the likelihood of flooding events. Based on these estimators, SAS created an easy to use what-if dashboard. Put simply, indirect flood-related disasters have proven devastating to human life loss.

Optimization 52

Optimization Machine Learning Insurance Risk 52