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

Jet Global

JULY 11, 2019

With major advances being made in artificial intelligence and machine learning, businesses are investing heavily in advanced analytics to get ahead of the competition and increase their bottom line. We’ll explain what it is, how it works, and ways to start using demand forecasting with business intelligence software.

Business Intelligence 72

Business Intelligence Forecasting Predictive Analytics Data Warehouse 72

Birst BI

OCTOBER 30, 2018

Since the dawn of business applications, the fundamental purpose of these applications has been to increase the efficiency of business processes. Instead of transacting business with only a paper record, enterprise applications recorded transactions in a computer database. Predictive Analytics: Predicting Future Outcomes.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

CIO Business Intelligence

NOVEMBER 4, 2024

AI-driven decision-making transforming the c-suite Bret Greenstein, PwC’s data and AI leader, is an expert on enterprise AI working with numerous executives to integrate AI operationally. A client once shared how predictive analytics allowed them to spot a rising trend in customer preferences early on.

Strategy 128

Strategy Data-driven Predictive Analytics Dashboards 128

Boris Evelson

JUNE 14, 2023

Enterprise business intelligence (BI) continues to be the last mile to insights-driven business (IDB) capabilities. – BI applications are where business users consume data and turn it into actionable insights and decisions.

Business Intelligence 98

Business Intelligence Data Lake Data Warehouse Data-driven 98

Boris Evelson

MARCH 2, 2018

In most enterprises, data access is a fait accompli: 72% of global data and analytics decision makers say that they can access the data they need to obtain insights in a timely manner. However, even the most modern BI tools that make data more accessible still require significant subject matter expertise to find the right […].

Business Intelligence 95

Business Intelligence Enterprise Analytics Predictive Analytics 95

CIO Business Intelligence

JULY 22, 2024

Enterprises should use ethical frameworks to ensure that AI applications undergo rigorous testing and validation before being deployed in order to safeguard patient safety and data privacy. AI systems can now automate much of this work, reducing paperwork errors and allowing healthcare professionals to focus more on patient care.

Enterprise 126

Enterprise Testing Predictive Analytics Metrics 126

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. Predictive Analytics Using External Data.

Predictive Analytics 69

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 69

CIO Business Intelligence

SEPTEMBER 30, 2022

What you need to know about IoT in enterprise and education . The potential use cases for enterprise users . In an era of data driven insights and automation, few technologies have the power to supercharge and empower decision makers like that of the Internet of Things (IoT). .

IoT 137

IoT Enterprise Internet of Things Predictive Analytics 137

CIO Business Intelligence

JUNE 7, 2022

The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. Data analytics has become increasingly important in the enterprise as a means for analyzing and shaping business processes and improving decision-making and business results.

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

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. Epicor Grow Data Platform is a full-stack, no-code data platform that allows enterprises to manage all of their data in one place.

Forecasting 126

Forecasting Predictive Analytics Machine Learning Data-driven 126

CIO Business Intelligence

SEPTEMBER 5, 2024

e& enterprise, a leader in enterprise digital services, will play a pivotal role as the summit’s Host Partner. With its extensive experience in delivering digital transformation solutions, e& enterprise is well-positioned to help organizations harness the power of AI and advanced technologies to drive innovation and growth.

Enterprise 111

Enterprise Digital Transformation Data Processing Predictive Analytics 111

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. The time spent on analysis can affect daily business decisions and strategic actions.

Business Analytics 141

Business Analytics Analytics Unstructured Data Data-driven 141

datapine

JULY 1, 2020

If utilized correctly, data offers a wealth of opportunity to individuals and companies looking to improve their business’ intelligence, operational efficiency, profitability, and growth over time. This is not only critical in business intelligence but, as we have seen, in other areas such as education or government services.

Reporting 260

Reporting Dashboards Cost-Benefit Visualization 260

CIO Business Intelligence

NOVEMBER 1, 2023

AI is being used in other ways in the enterprise as well, to do things like improve the efficiency of the supply chain, facilitate customer interactions, and help employees perform office tasks. For the time being, though, very few enterprises have the skilled staff to build an AI model or tweak an existing one.

Enterprise 131

Enterprise Digital Transformation Modeling Interactive 131

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

CIO Business Intelligence

MAY 19, 2022

What is enterprise service management? Enterprise service management (ESM) is the practice of applying IT service management (ITSM) principles and capabilities to improve service delivery in non-IT parts of an organizations, including human resources, legal, marketing, facilities, and sales. Benefits of enterprise service management.

Enterprise 124

Enterprise Management Cost-Benefit Machine Learning 124

Boris Evelson

SEPTEMBER 21, 2020

The perception of legacy enterprise business intelligence (BI) platforms comes with some legitimate stigma and baggage.

Business Intelligence 143

Business Intelligence Dashboards Enterprise Reporting 143

CIO Business Intelligence

DECEMBER 30, 2024

In healthcare, AI-driven solutions like predictive analytics, telemedicine, and AI-powered diagnostics will revolutionize patient care, supporting the regions efforts to enhance healthcare services. Governments and enterprises will leverage AI for operational efficiency, economic diversification, and better public services.

IoT 105

IoT Digital Transformation Internet of Things Data-driven 105

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

Boris Evelson

JULY 29, 2019

Forrester has just published 2019 refresh of out Enterprise Business Intelligence (BI) Platforms Waves ™. As the BI market and the technology continue to evolve, so does our research.

Enterprise 83

Enterprise Business Intelligence Publishing Marketing 83

CIO Business Intelligence

JULY 5, 2022

Business analytics also involves data mining, statistical analysis, predictive modeling, and the like, but is focused on driving better business decisions. What is the difference between business analytics and business intelligence? Predictive analytics: What is likely to happen in the future?

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

BizAcuity

MAY 16, 2022

Now, businesses, regardless of the industry, are leveraging data and Business Intelligence to stay ahead of the competition. Business Intelligence. In brief, business intelligence is about how well you leverage, manage and analyze business data. Visual Analytics and Data Visualization.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

Howard Dresner

JANUARY 20, 2014

I don’t like making predictions, so rest assured this is not another of a myriad of predictions articles that hit the media annually. Instead, let’s kick start the year with some definite plans and aspirations of companies in the business intelligence sphere. What is your organization planning to try to achieve in 2014?

Business Intelligence 56

Business Intelligence Software Predictive Analytics Data Processing 56

CIO Business Intelligence

NOVEMBER 14, 2022

The concept of DSS grew out of research conducted at the Carnegie Institute of Technology in the 1950s and 1960s, but really took root in the enterprise in the 1980s in the form of executive information systems (EIS), group decision support systems (GDSS), and organizational decision support systems (ODSS). Parmenides Edios. TIBCO Spotfire.

Data mining 144

Data mining Data-driven Statistics OLAP 144

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. On the contrary, without using the right tools, intelligence, and insights, you’ll likely find yourself forever on the back foot.

Big Data 275

Big Data Internet of Things Cost-Benefit Optimization 275

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

CIO Business Intelligence

FEBRUARY 6, 2025

By embracing a pragmatic and sustainable approach to analytics, we can unlock the true potential of data while minimizing our environmental impact. with over 15 years of experience in enterprise data strategy, governance and digital transformation. Chitra Sundaram is the practice director of data management at Cleartelligence, Inc.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

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

FineReport

DECEMBER 23, 2019

According to IDC Semiannual Software Tracker for the First Half of 2019, China’s business intelligence software market size was $ 210 million in the first half of 2019, with a year-on-year increase of 24.6%. By 2023, the size of China’s business intelligence software market will reach $ 1.65 respectively.

Marketing 95

Marketing Business Intelligence Manufacturing Software 95

Jet Global

OCTOBER 1, 2019

With major advances being made in artificial intelligence and machine learning, businesses are investing heavily in advanced analytics to get ahead of the competition and increase their bottom line. We’ll explain what it is, how it works, and ways to start using demand forecasting with business intelligence software.

Business Intelligence 40

Business Intelligence Forecasting Predictive Analytics Data Warehouse 40

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

CIO Business Intelligence

AUGUST 18, 2022

Those challenges are well-known to many organizations as they have sought to obtain analytical knowledge from their vast amounts of data. The result is an emerging paradigm shift in how enterprises surface insights, one that sees them leaning on a new category of technology architected to help organizations maximize the value of their data.

Data Lake 140

Data Lake Data Warehouse Unstructured Data Business Intelligence 140

Boris Evelson

JUNE 17, 2020

Enterprises have been successfully leveraging analytics platforms such as business intelligence (BI), predictive analytics based on machine learning (PAML), cognitive search, and others for multiple applications and use cases for decades.

Publishing 78

Publishing Analytics Machine Learning Predictive Analytics 78

Smarten

NOVEMBER 19, 2018

The process of predictive analytics has come far in the past decade. Today’s self-serve predictive analytics and forecasting tools are designed to support business users and data analysts alike. What is Predictive Analytics? Can Predictive Analytics Help You Achieve Business Objectives?

Business Objectives 40

Business Objectives Predictive Analytics Analytics Forecasting 40

Boris Evelson

FEBRUARY 23, 2022

Over the last couple of decades, we’ve been observing a seemingly impenetrable barrier: No more than 20% of enterprise decision-makers who could be using business intelligence (BI) applications hands on are doing so. The other 80% still rely on the data and analytics skills of those 20% who do use BI applications.

Dashboards 97

Dashboards Business Intelligence Enterprise Analytics 97