Sisense

OCTOBER 6, 2020

Let’s consider the differences between the two, and why they’re both important to the success of data-driven organizations. Digging into quantitative data. This is quantitative data. It’s “hard,” structured data that answers questions such as “how many?” First, data isn’t created in a uniform, consistent format.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

datapine

JULY 17, 2019

Also, explore our guide to KPI management and learn from a host of helpful best practices. 3) Consider your data sources. The next stage in the ‘how to create a KPI report’ process boils down to taking a detailed look at your data sources. Quick Ratio / Acid Test. click to enlarge**. KPIs used: Working Capital.

KPI 223

KPI Reporting Key Performance Indicator Dashboards 223

Andrew White

JANUARY 11, 2021

On January 4th I had the pleasure of hosting a webinar. It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. Do you have an example of how an organization improved data literacy in a really practical useful way?

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52