Birst BI

OCTOBER 30, 2018

Today, the most common usage of business intelligence is for the production of descriptive analytics. . Descriptive Analytics: Valuable but limited insights into historical behavior. The vast majority of financial services companies use the data within their applications for what is called “ Descriptive Analytics.”

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

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.

Statistics 52

Statistics Data mining Visualization Reporting 52

Cloudera

SEPTEMBER 22, 2022

To me, this means that by applying more data, analytics, and machine learning to reduce manual efforts helps you work smarter. According to a recent McKinsey report , digitized underwriting can improve loss ratios three to five points. It’s not easy, but it can be done in pragmatic steps to yield results.

Analytics 102

Analytics Insurance IoT Risk 102

O'Reilly on Data

OCTOBER 16, 2018

Create a coherent BI strategy that aligns data collection and analytics with the general business strategy. Results-based leaders rely on having the right information at the right time in order to support operational decision-making. That’s why decision-makers consider business intelligence their top technology priority.

Business Intelligence 152

Business Intelligence Data Science Descriptive Analytics Strategy 152

IBM Big Data Hub

JULY 27, 2022

Specifically, AIOps uses big data, analytics, and machine learning capabilities to do the following: Collect and aggregate the huge and ever-increasing volumes of operations data generated by multiple IT infrastructure components, applications and performance-monitoring tools.

Prescriptive Analytics 93

Prescriptive Analytics Descriptive Analytics Data-driven Cost-Benefit 93

Domino Data Lab

JANUARY 21, 2021

This data-specific domain knowledge informs the subsequent approaches to producing a predictive model that is differentiated and valuable. It’s worth noting that there is a landscape of proprietary tools dedicated to producing descriptive analytics in the name of business intelligence. imputation of missing values).

Statistics 106

Statistics Unstructured Data Data Science Visualization 106

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

Sisense

JULY 23, 2021

At the Information, Knowledge, and Games Learning (IKL) unit, we anticipate collecting about 1TB of data from primary sources. “Our To this end, the IOC set up the IKL unit within its technology and information department. This analytics engine will process both structured and unstructured data. “We

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

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. Yet too often people without ‘data’ in their title – business users – are left out or left behind.

Descriptive Analytics 52

Descriptive Analytics Risk Sales Data-driven 52

Sisense

JUNE 30, 2020

Analytics acts as the source for data visualization and contributes to the health of any organization by identifying underlying models and patterns and predicting needs. Broadly, there are three types of analytics: descriptive , prescriptive , and predictive. Visual analytics and data visualizations in action.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

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. You must be tired of continuously hearing quotes like, ‘data is the new oil’ and what not. AI for Business. Worth a read if you are brainstorming on AI strategy.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Jet Global

MAY 1, 2023

But many companies fail to achieve this goal because they struggle to provide the reporting and analytics users have come to expect. The Definitive Guide to Embedded Analytics is designed to answer any and all questions you have about the topic. It will show you what embedded analytics are and how they can help your company.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

Sisense

SEPTEMBER 12, 2019

Most companies find themselves in the bottom left corner, in the Descriptive Analytics and Diagnostic Analytics sections. You likely already have some form of scheduled reports, are drilling down into your data, discovering what is in your data, and may even be visualizing to some extent.

Strategy 81

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics 81

Business Over Broadway

MARCH 13, 2019

For our example, to answer our questions, we need to look at two types of analytics: 1) Descriptive and 2) Predictive. Descriptive analytics are used to indicate the current state of the world. Predictive analytics are used to make predictions about future events. You can use the output for your reporting.

Statistics 78

Statistics Measurement Descriptive Analytics Machine Learning 78

CIO Business Intelligence

JANUARY 20, 2023

Business intelligence definition Business intelligence (BI) is a set of strategies and technologies enterprises use to analyze business information and transform it into actionable insights that inform strategic and tactical business decisions. BI tools could automatically generate sales and delivery reports from CRM data.

Business Intelligence 139

Business Intelligence Dashboards Data mining OLAP 139

CIO Business Intelligence

OCTOBER 10, 2022

Information was collected from multiple, disparate data sources, and planners were using different tools. This enabled the company to generate simulations, planning, and reporting solutions based on SAP Analytics Cloud. Save significant time with reporting automation . The Challenge: Planning in Silos .

Enterprise 52

Enterprise Forecasting Descriptive Analytics Digital Transformation 52