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?” or “how often?”

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

datapine

JULY 17, 2019

Quick Ratio / Acid Test. By providing a detailed visualization of every aspect of your sales portfolio, this report empowers sales managers to take a full snapshot of their sales operations without losing any data, enabling them to create an extensive sales report. KPIs used: Working Capital. Cash Conversion Cycle.

KPI 223

KPI Reporting Key Performance Indicator Dashboards 223

AWS Big Data

NOVEMBER 29, 2023

These announcements drive forward the AWS Zero-ETL vision to unify all your data, enabling you to better maximize the value of your data with comprehensive analytics and ML capabilities, and innovate faster with secure data collaboration within and across organizations.

Data Warehouse 100

Data Warehouse Data Lake Analytics Machine Learning 100

Rocket-Powered Data Science

SEPTEMBER 18, 2018

The way that a data scientist resolves that degeneracy (another data science word) is to introduce more parameters (higher variety data) in order to “look at” those overlapping clusters from different angles and perspectives, thus resolving the different diagnosis clusters.

Big Data 103

Big Data Data Science Measurement Data Collection 103

BI-Survey

FEBRUARY 14, 2022

Planning and forecasting is currently being put to the test in many companies due to shifted priorities. Automate forecasts and projections with predictive methods (statistical methods or machine learning). Automated forecasts require comprehensive data of high quality to create meaningful projections.

Forecasting 52

Forecasting Uncertainty Measurement Software 52

DataKitchen

JUNE 24, 2021

In May 2021 at the CDO & Data Leaders Global Summit, DataKitchen sat down with the following data leaders to learn how to use DataOps to drive agility and business value. Kurt Zimmer, Head of Data Engineering for Data Enablement at AstraZeneca. Jim Tyo, Chief Data Officer, Invesco.

ROI 211

ROI Metrics Measurement Cost-Benefit 211

Andrew White

JANUARY 11, 2021

Do you have an example of how an organization improved data literacy in a really practical useful way? Storytelling is a nice one to use early on to test the approach. New data suggests that pinpoint or targeted efforts are likely to be more effective. Yes, and no. We do have good examples and bad examples.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52