CIO Business Intelligence

MAY 12, 2022

But sometimes can often be more than enough if the prediction can help your enterprise plan better, spend more wisely, and deliver more prescient service for your customers. What are predictive analytics tools? Predictive analytics tools blend artificial intelligence and business reporting.

Predictive Analytics 137

Predictive Analytics Analytics Statistics Machine Learning 137

CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. from 2022 to 2028.

Predictive Analytics 145

Predictive Analytics Analytics Predictive Modeling Forecasting 145

Smart Data Collective

NOVEMBER 25, 2019

More and more often, businesses are using data to drive their decisions — which makes cutting-edge analytics and business intelligence strategies one of the best advantages a company can have. Here are the six trends you should be aware of that will reshape business intelligence in 2020 and throughout the new decade.

Business Intelligence 132

Business Intelligence Predictive Analytics Data Collection Internet of Things 132

David Menninger's Analyst Perspectives

SEPTEMBER 16, 2021

Rapidminer is a visual enterprise data science platform that includes data extraction, data mining, deep learning, artificial intelligence and machine learning (AI/ML) and predictive analytics. It can support AI/ML processes with data preparation, model validation, results visualization and model optimization.

Data Science 341

Data Science Data Lake Data mining Deep Learning 341

CIO Business Intelligence

OCTOBER 18, 2023

In September 2021, Fresenius set out to use machine learning and cloud computing to develop a model that could predict IDH 15 to 75 minutes in advance, enabling personalized care of patients with proactive intervention at the point of care. CIO 100, Digital Transformation, Healthcare Industry, Predictive Analytics

Predictive Analytics 133

Predictive Analytics Analytics Machine Learning Internet of Things 133

Smarten

FEBRUARY 6, 2025

The Use and Benefits of Low-Code No-Code Development in Business Intelligence (BI) and Predictive Analytics Solutions Introduction In this article, we will discuss Low-Code and No-Code Development (LCNC) and the use of the Low Code and No Code approach for business intelligence (BI) tools and predictive analytics solutions.

Predictive Analytics 40

Predictive Analytics Key Performance Indicator Analytics Predictive Modeling 40

CIO Business Intelligence

JUNE 2, 2022

Nearly 37% of survey respondents who are already using artificial intelligence in financial services consider improved operational efficiency a benefit of using AI, the report shows. Banking use cases include fraud detection, trading prediction, synthetic data generation and risk factor modelling.

Predictive Analytics 145

Predictive Analytics Technology Analytics Machine Learning 145

Sisense

FEBRUARY 18, 2021

No one can expect to unveil what’s coming with absolute certainty, but even having some idea of what to expect next quarter or next year can evolve a business and transform an industry. Predictions like those, indeed predictive analytics itself, rely on a deep understanding of the past and present, expressed by data.

Predictive Analytics 66

Predictive Analytics Business Intelligence Analytics Manufacturing 66

FineReport

AUGUST 18, 2020

According to “IDC Semiannual Software Tracker for the Second Half of 2019”, the scale of China’s business intelligence software market reached US$490 million in 2019, with a year-on-year increase of 22.6%. In terms of deployment models, in 2019, traditional deployment models accounted for 82.7% billion U.S.

Business Intelligence 98

Business Intelligence Marketing Digital Transformation Software 98

CIO Business Intelligence

DECEMBER 18, 2024

GenAI is also helping to improve risk assessment via predictive analytics. In one example, BNY Mellon is deploying NVIDIAs DGX SuperPOD AI supercomputer to enable AI-enabled applications, including deposit forecasting, payment automation, predictive trade analytics, and end-of-day cash balances.

Forecasting 105

Forecasting Predictive Analytics Risk Finance 105

FineReport

JUNE 24, 2021

That’s why business intelligence solutions(BI solutions) come into our minds. Business Intelligence Solutions Definition. What are business intelligence solutions, or BI solutions meaning? Technicals such as data warehouse, online analytical processing (OLAP) tools, and data mining are often binding.

Business Intelligence 84

Business Intelligence OLAP Data mining Visualization 84

Birst BI

OCTOBER 30, 2018

This data retrieval and summarization capability gave rise to what we now know as the business intelligence industry. Today, the most common usage of business intelligence is for the production of descriptive analytics. . Descriptive Analytics: Valuable but limited insights into historical behavior.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

CIO Business Intelligence

AUGUST 25, 2023

Hot Melt Optimization employs a proprietary data collection method using proprietary sensors on the assembly line, which, when combined with Microsoft’s predictive analytics and Azure cloud for manufacturing, enables P&G to produce perfect diapers by reducing loss due to damage during the manufacturing process.

Predictive Analytics 98

Predictive Analytics IoT Manufacturing Analytics 98

datapine

AUGUST 14, 2019

Data science tools are used for drilling down into complex data by extracting, processing, and analyzing structured or unstructured data to effectively generate useful information while combining computer science, statistics, predictive analytics, and deep learning. connecting data sources and predicting future outcomes.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

CIO Business Intelligence

NOVEMBER 4, 2024

“This process involves connecting AI models with observable actions, leveraging data subsequently fed back into the system to complete the feedback loop,” Schumacher said. Most AI hype has focused on large language models (LLMs).

Strategy 128

Strategy Data-driven Predictive Analytics Dashboards 128

CIO Business Intelligence

NOVEMBER 18, 2024

Some of the key applications of modern data management are to assess quality, identify gaps, and organize data for AI model building. It enables organizations to efficiently derive real-time insights for effective strategic decision-making. The faster data is processed, the quicker actionable insights can be generated.”

Data-driven 111

Data-driven Machine Learning ROI Uncertainty 111

CIO Business Intelligence

JUNE 7, 2022

To ensure robust analysis, data analytics teams leverage a range of data management techniques, including data mining, data cleansing, data transformation, data modeling, and more. What are the four types of data analytics? In business analytics, this is the purview of business intelligence (BI).

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

Sisense

MARCH 27, 2019

Unlike traditional models that look at historical data for patterns, real-time analytics focuses on understanding information as it arrives to help make faster, better decisions. Today, real time business intelligence is a necessity more than a luxury, so it’s important to understand exactly what it is, and what it can do for you.

Business Intelligence 74

Business Intelligence Data Warehouse Predictive Modeling Visualization 74

Smarten

MAY 31, 2022

The technology research firm, Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ Complete Set of Analytical Techniques. Access to Flexible, Intuitive Predictive Modeling.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

CIO Business Intelligence

FEBRUARY 6, 2025

The hype around large language models (LLMs) is undeniable. But heres the question I keep asking myself: do we really need this immense power for most of our analytics? Think about it: LLMs like GPT-3 are incredibly complex deep learning models trained on massive datasets. They leverage around 15 different models.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

Sisense

AUGUST 11, 2019

This is where Business Analytics (BA) and Business Intelligence (BI) come in: both provide methods and tools for handling and making sense of the data at your disposal. So…what is the difference between business intelligence and business analytics? What Does “Business Analytics” Mean?

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

AWS Big Data

JANUARY 15, 2025

In this post, we show you how EUROGATE uses AWS services, including Amazon DataZone , to make data discoverable by data consumers across different business units so that they can innovate faster. In addition to real-time analytics and visualization, the data needs to be shared for long-term data analytics and machine learning applications.

IoT 110

IoT Machine Learning Metadata Data-driven 110

CIO Business Intelligence

JULY 5, 2022

Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. What are the benefits of business analytics? What is the difference between business analytics and business intelligence?

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

Smart Data Collective

MAY 13, 2022

In addition, several enterprises are using AI-enabled programs to get business analytics insights from volumes of complex data coming from various sources. AI is undoubtedly a gamechanger for business intelligence. Before you can have AI-driven apps, you need to train a machine learning model to do the work.

Business Analytics 141

Business Analytics Analytics Unstructured Data Data-driven 141

Smarten

APRIL 10, 2023

Leverage Enterprise Investments for Predictive Analytics and Gain Numerous Advantages! Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ It’s simple!

Predictive Analytics 52

Predictive Analytics Predictive Modeling Analytics Prescriptive Analytics 52

IBM Big Data Hub

JUNE 8, 2023

Essential data is not being captured or analyzed—an IDC report estimates that up to 68% of business data goes unleveraged—and estimates that only 15% of employees in an organization use business intelligence (BI) software.

Business Intelligence 62

Business Intelligence Enterprise Dashboards Forecasting 62

CIO Business Intelligence

NOVEMBER 14, 2022

A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. Decision support systems vs. business intelligence DSS and business intelligence (BI) are often conflated. Model-driven DSS. Commonly used models include: Statistical models.

Data mining 144

Data mining Data-driven Statistics OLAP 144

TDAN

APRIL 20, 2021

Enter predictive analytics, and […]. It’s usually somewhat tedious for all parties involved, until a safety issue actually arises. At this point, all the old procedures will be given a good once-over.

Predictive Analytics 59

Predictive Analytics Analytics IT Big Data 59

Birst BI

FEBRUARY 13, 2018

Today, Constellation Research , a leading technology research and advisory firm based in Silicon Valley, announced that Birst, an Infor company, for the fourth consecutive time, has been named to the Constellation ShortList for Cloud-Based Business Intelligence and Analytics Platforms.

Business Intelligence 66

Business Intelligence Diagnostic Analytics Analytics Visualization 66

CIO Business Intelligence

MARCH 30, 2022

became CIO in 2020, he and his leadership team defined a new digital strategy and IT operating model to bring the full force of digital technologies to the company’s customers and employees. I recently spoke with Bishop to learn his perspective on IT’s role in business transformation. When Irvin Bishop, Jr. Yes, we have.

Modeling 98

Modeling IT IoT Internet of Things 98

CIO Business Intelligence

MAY 21, 2024

ERP vendor Epicor is introducing integrated artificial intelligence (AI) and business intelligence (BI) capabilities it calls the Grow portfolio. And we’re empowering users with a rich, industry-centric data platform and no-code tools to create purpose-built data pipelines to help solve specific challenges.”

Forecasting 126

Forecasting Predictive Analytics Machine Learning Data-driven 126

datapine

NOVEMBER 19, 2019

In business intelligence, we are evolving from static reports on what has already happened to proactive analytics with a live dashboard assisting businesses with more accurate reporting. An exemplary application of this trend would be Artificial Neural Networks (ANN) – the predictive analytics method of analyzing data.

Technology 279

Technology Internet of Things IT IoT 279

datapine

MAY 2, 2023

The rise of SaaS business intelligence tools is answering that need, providing a dynamic vessel for presenting and interacting with essential insights in a way that is digestible and accessible. Big data enables automated systems by intelligently routing many data sets and data streams. Now’s the time to strike.

Big Data 275

Big Data Internet of Things Cost-Benefit Optimization 275

DataRobot Blog

NOVEMBER 8, 2022

Learn more from guest blogger Ikechi Okoronkwo, Executive Director, Business Intelligence & Advanced Analytics at Mindshare. As a global media agency network that delivers value in different ways (media investment management, planning and buying, content, creative, strategy, analytics, etc.), Request a demo.

Predictive Analytics 59

Predictive Analytics Marketing Analytics Data-driven 59

Decision Management Solutions

JULY 8, 2020

The research looked at the increasingly broad portfolio of analytic capabilities available to enterprises – everything from traditional Business Intelligence (BI) capabilities like reporting and ad-hoc queries to modern visualization and data discovery capabilities as well as advanced (predictive) analytics.

Reporting 134

Reporting Analytics ROI Key Performance Indicator 134

Smarten

MAY 2, 2018

Can Plug & Play Predictive Analytics Help Business Users Function Effectively? Plug & Play Predictive Analytics is not an exotic process that is limited to data scientists or IT staff. Plug & play predictive analysis is so named because it really is a plug and play process.

Predictive Analytics 40

Predictive Analytics Analytics Predictive Modeling Forecasting 40

DataRobot

JANUARY 20, 2022

— Snowflake and DataRobot AI Cloud Platform is built around the need to enable secure and efficient data sharing, the integration of disparate data sources, and the enablement of intuitive operational and clinical predictive analytics. Building data communities. . Looking forward through data.

Data-driven 145

Data-driven Experimentation Predictive Modeling Data Warehouse 145