CIO Business Intelligence

OCTOBER 10, 2022

Information was collected from multiple, disparate data sources, and planners were using different tools. The company also wanted to improve forecasting accuracy by harnessing the power of intelligent technologies. This enabled the company to generate simulations, planning, and reporting solutions based on SAP Analytics Cloud.

Enterprise 52

Enterprise Forecasting Descriptive Analytics Data Warehouse 52

Domino Data Lab

JUNE 2, 2019

We had data science leaders presenting about lessons learned while leading data science teams, covering key aspects including scalability, being model-driven, being model-informed, and how to shape the company culture effectively. Data science leadership: importance of being model-driven and model-informed.

Data Science 110

Data Science Data-driven Machine Learning Modeling 110

BizAcuity

MARCH 31, 2022

This article (like thousands of other articles), is aimed at presenting consolidated information about AI for business in simple language. Artificial Intelligence Analytics. The aim of predictive analytics is, as the name suggests, to predict and forecast outcomes. AI for Business. AI in Finance.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Cloudera

MARCH 2, 2018

The private sector already very successfully uses data analytics and machine learning not only to realise efficiency gains but also – even more importantly – to create completely new services and business models. Gain improved intelligence on operating context and needs through expanded use of descriptive analytics techniques.

Data-driven 43

Data-driven Prescriptive Analytics Machine Learning Descriptive Analytics 43

FineReport

APRIL 26, 2023

With the right Big Data Tools and techniques, organizations can leverage Big Data to gain valuable insights that can inform business decisions and drive growth. The term “Big” does not only refer to its size, but also to its capacity to acquire, organize, and process information beyond the capabilities of traditional databases.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Alation

NOVEMBER 28, 2022

Everyone has a responsibility to make the best, most informed decisions, which requires access to data. Spreadsheets dominate the activities of gathering and preparing data, and performing descriptive analytics. Sales operations rely on spreadsheets for forecasting and resource planning. Spreadsheets are dark matter.

Descriptive Analytics 52

Descriptive Analytics Sales Risk Data-driven 52

FineReport

MARCH 24, 2024

Rapid technological advancements and extensive networking have propelled the evolution of data analytics, fundamentally reshaping decision-making practices across various sectors. In this landscape, data analysts assume a pivotal role, tasked with interpreting data to drive informed decision-making. JPMorgan Chase & Co.:

Statistics 52

Statistics Data mining Visualization Reporting 52

CIO Business Intelligence

APRIL 9, 2025

The foundational tenet remains the same: Untrusted data is unusable data and the risks associated with making business-critical decisions are profound whether your organization plans to make them with AI or enterprise analytics. Like most, your enterprise business decision-makers very likely make decisions informed by analytics.

Enterprise 102

Enterprise Analytics Experimentation Statistics 102

Jet Global

MAY 1, 2023

Aggregated views of information may come from a department, function, or entire organization. The data may come from multiple systems or aggregated views, but the output is a centralized overview of information. By Industry Businesses from many industries use embedded analytics to make sense of their data.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52