Birst BI

OCTOBER 30, 2018

An analytics alternative that goes beyond descriptive analytics is called “Predictive Analytics.”. Predictive Analytics: Predicting Future Outcomes. While descriptive analytics are focused on historical performance, predictive analytics are about predicting future outcomes.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

CIO Business Intelligence

NOVEMBER 14, 2022

Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions. ERP dashboards. Dashboards and other user interfaces that allow users to interact with and view results. Analytics, Data Science

Data mining 129

Data mining Data-driven Statistics OLAP 129

Smarten

JUNE 2, 2017

From reporting to visualised dashboard to predictive analytics. We know that by designing self-learning programs, we are in a position to provide prescriptive analytics. Some prescriptive analytics based on known parameters were always a part of ERP or BI offering. This was early predictive or was it?

Business Intelligence 40

Business Intelligence Visualization Prescriptive Analytics Predictive Analytics 40

FineReport

APRIL 26, 2023

.” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards. Predictive Analytics assesses the probability of a specific occurrence in the future, such as early warning systems, fraud detection, preventative maintenance applications, and forecasting.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Sisense

SEPTEMBER 12, 2019

With a goal of getting to the end of the chart with predictive and prescriptive analytics, you can ask questions like: Are we going to hit our targets by the end of the year? Some organizations empower its end users with interactive dashboards. Do you want to be more efficient? Find a bottleneck in R&D?

Strategy 81

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics 81

Sisense

JUNE 30, 2020

Data is usually visualized in a pictorial or graphical form such as charts, graphs, lists, maps, and comprehensive dashboards that combine these multiple formats. The role of visualizations in analytics. Data visualization can either be static or interactive. A simple example would be the analysis of marketing campaigns.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

AWS Big Data

MARCH 26, 2024

Customer 360 (C360) provides a complete and unified view of a customer’s interactions and behavior across all touchpoints and channels. Profile aggregation – When you’ve uniquely identified a customer, you can build applications in Managed Service for Apache Flink to consolidate all their metadata, from name to interaction history.

Data Strategy 68

Data Strategy Strategy Data Warehouse Prescriptive Analytics 68