CIO Business Intelligence

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. What are the four types of data analytics?

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

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

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. Data mining.

Business Intelligence 52

Business Intelligence Data mining Visualization Data Lake 52

Smart Data Collective

MAY 13, 2022

Various applications, from web-based smart assistants to self-driving cars and house-cleaning robots, run with the help of artificial intelligence (AI). With the growth of business data, it is no longer surprising that AI has penetrated data analytics and business insight tools. Benefits of AI-driven business analytics.

Business Analytics 134

Business Analytics Analytics Unstructured Data Data-driven 134

CIO Business Intelligence

JULY 5, 2022

What is business analytics? Business analytics is the practical application of statistical analysis and technologies on business data to identify and anticipate trends and predict business outcomes. The discipline is a key facet of the business analyst role. Business analytics techniques.

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

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. Rapidminer Studio is its visual workflow designer for the creation of predictive models.

Data Science 340

Data Science Data Lake Data mining Deep Learning 340

CIO Business Intelligence

SEPTEMBER 19, 2023

And with the rise of generative AI, artificial intelligence use cases in the enterprise will only expand. To gain a better understanding of how companies are putting AI to practical use, consultancy Deloitte surveyed 2,620 global business leaders, across 13 countries, as part of its Fueling the AI Transformation report.

Enterprise 141

Enterprise Cost-Benefit Optimization Deep Learning 141

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

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

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

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

IBM Big Data Hub

APRIL 1, 2024

Stacking strong data management, predictive analytics and GenAI is foundational to taking your product organization to the next level. Now, enterprises can adopt the foundational principles of this technology and apply them within their operations, further enriched by contextualization and security.

Predictive Analytics 85

Predictive Analytics Sales Enterprise Predictive Modeling 85

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

Data Science 84

Data Science Data Analytics Prescriptive Analytics Analytics 84

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

MAY 9, 2024

Here, we examine the benefits of Augmented Analytics and how to plan and successfully execute an Augmented Analytics initiative.

Optimization 52

Optimization Analytics Marketing Enterprise 52

Smart Data Collective

JUNE 16, 2022

Analytics is becoming more important than ever in the world of business. Over 70% of global businesses use some form of analytics. This is an important year for enterprises keeping in view that most global industries are recovering from the pandemic horror, and the era of web 3.0 is at the doorstep.

Business Analytics 121

Business Analytics Analytics Forecasting Business Analysis 121

datapine

MARCH 25, 2022

1) What Is Business Intelligence And Analytics? 4) How Do BI And BA Apply To Business? If someone puts you on the spot, could you tell him/her what the difference between business intelligence and analytics is? Try our professional BI and analytics software for 14 days free! Table of Contents.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Smarten

DECEMBER 3, 2023

Let’s look at some of the reasons business intelligence (BI) and augmented analytics are important to your business and the benefits this type of solution can provide for your enterprise. Giving your team the right tools and a simple way to manage the overwhelming flow of data is crucial to business success.’

Analytics 40

Analytics Cost-Benefit Data Quality Consulting 40

CIO Business Intelligence

JUNE 14, 2023

Data and big data analytics are the lifeblood of any successful business. Getting the technology right can be challenging but building the right team with the right skills to undertake data initiatives can be even harder — a challenge reflected in the rising demand for big data and analytics skills and certifications.

Big Data 126

Big Data Data Analytics Analytics Predictive Modeling 126

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

Smarten

FEBRUARY 8, 2023

Business Use Cases Can Help Users Understand the Value of Augmented Analytics! Gartner predicts that, ‘Through 2025, 80% of organizations seeking to scale digital business will fail because they do not take a modern approach to data and analytics governance.’

Analytics 52

Analytics Advertising Predictive Analytics Optimization 52

FineReport

APRIL 21, 2024

Introduction to the World of SaaS BI Tools In today’s data-driven business landscape, SaaS BI tools have emerged as indispensable assets for companies seeking to harness the power of data. But what exactly are SaaS BI tools , and why do they matter in the realm of modern business intelligence? What Are SaaS BI Tools?

Business Intelligence 52

Business Intelligence Visualization Dashboards Data-driven 52

InsightOut

FEBRUARY 1, 2023

As business enterprises grow, your goals often evolve into becoming faster, better, cheaper, or simpler. Instead of sitting in storage, that data could be used to streamline your business operations and guide your business' bright future. Without a proper data analytics strategy. To be at the top of the game.

Data Analytics 52

Data Analytics Analytics Dashboards Visualization 52

Smart Data Collective

AUGUST 10, 2021

Big data and analytics technology is rapidly changing the future of modern business. Over 67% of companies spend over $10,000 a year on analytics solutions. Investments in analytics are being made across all major industries. Analytics Becomes Major Asset to Companies Across All Sectors.

Data Analytics 135

Data Analytics Analytics Big Data Key Performance Indicator 135

Smarten

JUNE 17, 2022

Smarten announces the recent certification of its Smarten Augmented Analytics Software product by CERT-IN. Contact the Smarten team for more information on Smarten Augmented Analytics solution. Original Post : Smarten Augmented Analytics Receives CERT-IN Certification for Its Products and Services! About Smarten.

Analytics 67

Analytics IT Business Intelligence Predictive Modeling 67

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). Crop planning. Clinical DSS.

Data mining 144

Data mining Data-driven Statistics OLAP 144

Smarten

JUNE 10, 2022

Why You Need Both BI Tools and Augmented Analytics and What to Consider When Selecting a Vendor ! According to a West Monroe Partners’ survey, 68% of business and technology leaders surveyed don’t believe their competitors are leveraging data successfully. Business Intelligence. Dashboards.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

FineReport

APRIL 9, 2024

Benefits of Healthcare Business Intelligence Tools Improved Decision-Making: Healthcare BI tools enable informed decision-making by providing real-time data analysis and predictive insights. By integrating advanced analytics solutions, healthcare organizations can elevate their capacity for data-driven decision-making.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

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

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 40

Publishing Analytics Machine Learning Predictive Analytics 40

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. Time Saving : Big data tools and technologies can collect and analyze data from multiple sources in real-time, enabling businesses to make quick decisions based on insights.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

InsightOut

FEBRUARY 1, 2023

As business enterprises grow, your goals often evolve into becoming faster, better, cheaper, or simpler. Instead of sitting in storage, that data could be used to streamline your business operations and guide your business' bright future. Without a proper data analytics strategy. To be at the top of the game.

Data Analytics 40

Data Analytics Analytics Dashboards Visualization 40

Jet Global

MAY 1, 2020

Analytics in the finance function has been top of mind for CFOs for many years. Yet despite the column inches devoted to the importance of analytics, and the wide choice of supporting tools and technologies, insight, the pinnacle of analytic effort, remains stubbornly elusive. Helpfully, the research sheds light on this too.

Finance 78

Finance Analytics Forecasting Reporting 78

Jedox

OCTOBER 22, 2020

The term “data analytics” refers to the process of examining datasets to draw conclusions about the information they contain. Data analytics is not new. While data analytics can provide many benefits to organizations that use it, it’s not without its challenges. Limited real-time analytics and visuals.

Data Analytics 69

Data Analytics Analytics Unstructured Data Data mining 69

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

CIO Business Intelligence

APRIL 11, 2024

Better operational efficiency Nearly all ( 89%) of IT decision makers agree that data analytics is the lifeblood of modern government. Innovative digital tech like AI, automation, and data analytics help break down these silos, enabling better collaboration, faster decision-making, and more efficient resource allocation.

Cost-Benefit 105

Cost-Benefit Predictive Analytics Data-driven Risk 105

datapine

MAY 2, 2023

Table of Contents 1) Benefits Of Big Data In Logistics 2) 10 Big Data In Logistics Use Cases Big data is revolutionizing many fields of business, and logistics analytics is no exception. According to studies, 92% of data leaders say their businesses saw measurable value from their data and analytics investments.

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275