Sisense

APRIL 6, 2021

The world of data visualization is constantly evolving. If you’re reading this, it’s likely for one of two reasons: You need a visualization library for your project, or you’re curious about what’s changed since 2020 in terms of visualization libraries. Data visualizations are a vital part of embedded analytics.

Visualization 59

Visualization Customer Analytics Analytics Reporting 59

Corinium

JUNE 6, 2019

Therefore, understanding customers for cross and up-sell is paramount. Fractal’s recommendation is to take an incremental, test and learn approach to analytics to fully demonstrate the program value before making larger capital investments. Build multiple MVPs to test conceptually and learn from early user feedback.

Insurance 250

Insurance Analytics Forecasting Deep Learning 250

AWS Big Data

JULY 13, 2023

This post describes how Amazon QuickSight dashboards can help you visualize your support cases in a single pane of glass using data extracts from Systems Manager. QuickSight meets varying analytic needs from the same source of truth through modern interactive dashboards, paginated reports, embedded analytics, and natural language queries.

Dashboards 72

Dashboards Visualization Interactive Management 72

FineReport

MARCH 24, 2024

They analyze, interpret, and manipulate complex data, track key performance indicators, and present insights to management through reports and visualizations. Technically, analysts must excel in numerical and analytical skills, advanced Excel usage, and an understanding of relational databases like MS Access.

Statistics 52

Statistics Data mining Visualization Reporting 52

Jet Global

MAY 1, 2023

Bottom line is that analytics has migrated from a trendy feature to a got-to-have. Plus, there is an expectation that tools be visually appealing to boot. In the past, data visualizations were a powerful way to differentiate a software application. Their dashboards were visually stunning. It’s all about context.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Domino Data Lab

JULY 28, 2021

They have enabled new cross-industry applications, such as in customer analytics and fraud detection. This includes accessing and preparing data, building and testing models and deploying them into production. The Data Science Toolkit. There are many commercial and open-source packages available for a given task.

Data Science 45

Data Science Machine Learning Statistics Deep Learning 45

Darkhorse

APRIL 9, 2018

The systems were set up to pay claims and report to customers. Analytics was never considered. Developing analytics to reduce fraud would be a huge competitive advantage if it were successful. Some firms are functional specialists with specific expertise in marketing analytics or HR analytics.

Consulting 58

Consulting Cost-Benefit Machine Learning Analytics 58