Decision Management Solutions

MAY 10, 2019

In the second bucket are machine learning and AI algorithms used to predict risk, identify fraud, target waste, predict lifetime value or determine propensities to buy.

Machine Learning 75

Machine Learning Data mining Predictive Analytics Interactive 75

FineReport

APRIL 26, 2023

Descriptive Analytics is used to determine “what happened and why.” ” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards. Unlike traditional databases, processing large data volumes can be quite challenging. How to Choose the Right Big Data Analytics Tools?

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Rita Sallam

JULY 22, 2016

decline in traditional BI ( See: Market Share Analysis: Business Intelligence and Analytics Software, 2015 ). The risk of switching existing system of record reporting that is working may be higher than the benefit, so the 45% of you maintaining these systems makes sense, but increasing users and content?

Analytics 40

Analytics Business Intelligence Metadata Statistics 40

datapine

AUGUST 29, 2022

An excerpt from a rave review : “I would definitely recommend this book to everyone interested in learning about data from scratch and would say it is the finest resource available among all other Big Data Analytics books.”. 6) Lean Analytics: Use Data to Build a Better Startup Faster, by Alistair Croll and Benjamin Yoskovitz.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

IBM Big Data Hub

JULY 24, 2023

IT operations analytics (ITOA) vs. observability ITOA and observability share a common goal of using IT operations data to track and analyze how a system is performing to improve operational efficiency and effectiveness. It aims to understand what’s happening within a system by studying external data.

IT 61

IT Analytics Cost-Benefit Predictive Analytics 61

Grooper

AUGUST 19, 2019

Choosing the right analytics solution isn't easy. Successfully navigating the 20,000+ analytics and business intelligence solutions on the market requires a special approach. Read on to learn how data literacy, information as a second language, and insight-driven analytics take digital strategy to a new level.

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

datapine

NOVEMBER 27, 2019

Over the past decade, business intelligence has been revolutionized. Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Jet Global

MAY 1, 2023

We hope this guide will transform how you build value for your products with embedded analytics. Learn how embedded analytics are different from traditional business intelligence and what analytics users expect. that gathers data from many sources. CRM, ERP, EHR/EMR) or portals (e.g., It’s all about context.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52