Cloudera

SEPTEMBER 22, 2022

Combining this data with more classical information such as annual checkups and medical records provides better insight into risks related to health, disability, and life insurance. The next step leads to performing exploratory, descriptive analytics, “why is this happening,” and so on.

Analytics 97

Analytics Insurance IoT Risk 97

Smart Data Collective

DECEMBER 19, 2021

With technological advancement, information has become one of the most valuable elements in this modern era of science. In such cases, data analysts run the descriptive analytics to find out, and Python comes into the business. However, data comes in different sizes and formats (text, images, audio, video, etc.).

Optimization 135

Optimization Machine Learning Data mining Statistics 135

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

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

Cloudera

MARCH 2, 2018

Gain improved intelligence on operating context and needs through expanded use of descriptive analytics techniques. In many settings this is the best information available. However, it presents obvious drawbacks: given the expense and time required to conduct surveys we frequently operate based on information that is years old.

Data-driven 42

Data-driven Prescriptive Analytics Descriptive Analytics Machine Learning 42

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

SEPTEMBER 12, 2019

Originating with Gartner, this chart includes the analytic features needed for a full analytics strategy, and what our AI team believe to be the absolute future of analytics – Cognitive Analytics. . In order to analyze revenue growth, you will first need all of the sales information related to revenue.

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. The next step is to analyze the data.

Statistics 78

Statistics Measurement Descriptive Analytics Machine Learning 78

datapine

MARCH 25, 2022

Business intelligence and analytics are data management solutions implemented in companies and enterprises to collect historical and present data, while using statistics and software to analyze raw information, and deliver insights for making better future decisions. Let’s see a conceptual definition of the two.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

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.

Business Intelligence 139

Business Intelligence Dashboards Data mining OLAP 139

Smart Data Collective

MARCH 11, 2022

Customer Service Analytics: Use Cases. Customer service analytics is necessary for businesses that want to assess the level of help provided to customers and other key stakeholders. The information you gather will assist you in identifying strategies that are effective and pinpointing areas where you can improve. Conclusion.

Customer Analytics 117

Customer Analytics Analytics Key Performance Indicator Big Data 117

Smarten

NOVEMBER 26, 2023

TechTarget defines business intelligence this way: ‘Business intelligence (BI) is a technology-driven process for analyzing data and delivering actionable information that helps executives, managers and workers make informed business decisions.’ or What is happening?

Marketing 40

Marketing Business Intelligence Key Performance Indicator Prescriptive Analytics 40

CIO Business Intelligence

OCTOBER 10, 2022

Information was collected from multiple, disparate data sources, and planners were using different tools. Shifting descriptive analytics to predictive analytics is a huge undertaking for most companies in their digital transformation. The Challenge: Planning in Silos .

Enterprise 52

Enterprise Forecasting Descriptive Analytics Digital Transformation 52

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 Predictive Modeling 106

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-driven 110

Data-driven Data Science 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. 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

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. Visualizations: past, present, and future.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

Rocket-Powered Data Science

OCTOBER 6, 2023

Cognitive analytics is basically the opposite of descriptive analytics. In descriptive analytics, the task is to find answers to predetermined business questions (how much, how many, how often, who, where, when), whereas cognitive analytics is tasked with finding the business questions that should be asked. .”

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

datapine

JANUARY 31, 2022

The main use of business intelligence is to help business units, managers, top executives, and other operational workers make better-informed decisions backed up with accurate data. BI users analyze and present data in the form of dashboards and various types of reports to visualize complex information in an easier, more approachable way.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

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. We get access, post-Games, to the ticket data to analyze any patterns in terms of incidents and responses.”.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

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. Embedded analytics are the GPS navigation inside your car that guides your path in real-time.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52