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. Predictive analytics to show what will happen next.

Prescriptive Analytics 93

Prescriptive Analytics Descriptive Analytics Data-driven Cost-Benefit 93

O'Reilly on Data

OCTOBER 16, 2018

As BI evolves from traditional reporting and descriptive analytics toward data science and AI, many practitioners fear that new capabilities will make their skill sets obsolete.Fighting new initiatives is, perhaps, a natural preservation instinct. Today, few firms qualify success properly.

Business Intelligence 149

Business Intelligence Data Science Descriptive Analytics Strategy 149

FineReport

APRIL 26, 2023

The Big Data ecosystem is rapidly evolving, offering various analytical approaches to support different functions within a business. Descriptive Analytics is used to determine “what happened and why.” ” This type of Analytics includes traditional query and reporting settings with scorecards and dashboards.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

Alation

NOVEMBER 28, 2022

Spreadsheets dominate the activities of gathering and preparing data, and performing descriptive analytics. Or they don’t have the technical skill to extract, cleanse, or transform data they need. Spreadsheets are dark matter. However, time spent in spreadsheets is often ineffective.

Descriptive Analytics 52

Descriptive Analytics Risk Sales Data-driven 52

CIO Business Intelligence

MARCH 27, 2024

Le aziende italiane investono in infrastrutture, software e servizi per la gestione e l’analisi dei dati (+18% nel 2023, pari a 2,85 miliardi di euro, secondo l’Osservatorio Big Data & Business Analytics della School of Management del Politecnico di Milano), ma quante sono giunte alla data maturity?

Data Governance 52

Data Governance Data Lake Data Strategy Data-driven 52

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. You can use the output for your reporting. The next step is to analyze the data.

Statistics 78

Statistics Measurement Descriptive Analytics Machine Learning 78

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

CIO Business Intelligence

JANUARY 20, 2023

BI tools access and analyze data sets and present analytical findings in reports, summaries, dashboards, graphs, charts, and maps to provide users with detailed intelligence about the state of the business. Business intelligence examples Reporting is a central facet of BI and the dashboard is perhaps the archetypical BI tool.

Business Intelligence 144

Business Intelligence Dashboards Data mining OLAP 144

datapine

MARCH 25, 2022

While BI tells you what has happened in the past and what is happening now (descriptive analytics), BA tells you what will happen in the future (predictive analytics). Descriptive analytics : As its name suggests, this analysis method is used to describe and summarize the main characteristics found on a dataset.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Smarten

NOVEMBER 26, 2023

You may be interested to know that TechJury reports seven out of ten businesses rate data discovery as very important, and that the top three business intelligence trends are data visualization, data quality management and self-service business intelligence. or What is happening?

Marketing 40

Marketing Business Intelligence Key Performance Indicator Prescriptive Analytics 40

CIO Business Intelligence

OCTOBER 10, 2022

This enabled the company to generate simulations, planning, and reporting solutions based on SAP Analytics Cloud. Shifting descriptive analytics to predictive analytics is a huge undertaking for most companies in their digital transformation. Save significant time with reporting automation .

Enterprise 52

Enterprise Forecasting Descriptive Analytics Digital Transformation 52

Domino Data Lab

JANUARY 21, 2021

It’s worth noting that there is a landscape of proprietary tools dedicated to producing descriptive analytics in the name of business intelligence. Designed for Jupyter : the output report can be rendered as an interactive widget directly in-line, or saved as an HTML file. ref: [link]. Last but not least: it is customizable.

Statistics 106

Statistics Unstructured Data Data Science Predictive Modeling 106

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

The healthcare industry stores ridiculously high amounts of big data- both structured and unstructured for research & development, population health management, technological innovations, patient health history and their medical reports management. Artificial Intelligence Analytics. AI in Ecommerce.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Grooper

AUGUST 19, 2019

For simple reporting projects, I might spend 8 hours getting the right data and then just a couple of hours producing the needed visualizations. Haha, well, I ask them the importance of the answer and look at current reports to see how they are getting their current figures. Let me know, and we’ll get answers on a future interview!

Machine Learning 40

Machine Learning Metrics Descriptive Analytics Testing 40

Rocket-Powered Data Science

OCTOBER 6, 2023

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. Cognitive analytics is basically the opposite of descriptive analytics. Pay attention!

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

datapine

JANUARY 31, 2022

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 can also be referred to as “descriptive analytics”, as it only shows past and current state: it doesn’t say what to do, but what is or was.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Sisense

JULY 23, 2021

Descriptive analytics also help them understand the number of athletes and workers required to support that specific competition or sport. This analytics engine will process both structured and unstructured data. “We “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

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