Decision Management Solutions

JUNE 4, 2021

Like many enterprises, you’ve likely made a hefty investment in analytic technology—from interactive dashboards and advanced visualization tools to data mining, predictive analytics, machine learning (ML), and artificial intelligence (AI). Limitations of common approaches to analytic projects. Get started.

Analytics Technologies 52

Analytics Technologies Technology Modeling Key Performance Indicator 52

Smart Data Collective

SEPTEMBER 6, 2023

Artificial intelligence technology has led to a number of major changes in digital technology. AI technology has led to a number of improvements, such as the development of new fraud detection software. Many financial institutions are already using these types of predictive analytics models to fight fraud.

Software 104

Software Digital Transformation Measurement Predictive Analytics 104

Rocket-Powered Data Science

MARCH 19, 2021

The accompanying technology Edge Computing, through which those streaming digital insights are extracted and then served to end-users, has a projected valuation of $800 billion by 2028. trillion by 2030. RFID), inventory monitoring (SKU / UPC tracking).

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

datapine

MARCH 8, 2021

Rapid technological evolution means it’s now possible to use accessible and intuitive data-driven tools to our advantage. One of the most striking elements of healthcare reporting and analytics is the ability to harness the power of historical and current data to spot potentially fatal medical issues in patients before they occur.

Reporting 198

Reporting KPI Management Cost-Benefit 198

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. What are the benefits of business analytics? Predictive analytics: What is likely to happen in the future?

Business Analytics 136

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 136

Smart Data Collective

JULY 16, 2023

When employing a comprehensive risk management approach, fund managers can proactively take pre-emptive measures to protect their funds. Leveraging mathematical and statistical methods, quantitative models evaluate risk by analyzing various factors, including market trends, volatility measures, and asset correlations.

ROI 71

ROI Data Analytics Analytics Risk Management 71

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

MARCH 3, 2023

Here are three examples of how sports organizations are using analytics to gain better insights into their venues. The most important thing about any sustainability platform is you cannot impact what you cannot measure,” says Omar Mitchell, vice president of sustainable infrastructure and growth initiatives at the NHL.

Data Analytics 98

Data Analytics Analytics Measurement Metrics 98

Smart Data Collective

JULY 13, 2023

AI technology is very helpful for marketing. The good news is that AI technology can help you avoid hiring a company that is going to do a poor job handling your SEO. Some of the predictive analytics tools that can help you assess an SEO agency’s performance include Looker, Improvado and Domo.

Predictive Analytics 76

Predictive Analytics Marketing ROI Strategy 76

CIO Business Intelligence

MAY 8, 2024

This article focuses on how these advancements are paving the way for data integration for the years to come in this ever-so-dynamic technological era. AI-powered data integration One of the most promising advancements in data integration is the integration of artificial intelligence (AI) and machine learning (ML) technologies.

Data Integration 102

Data Integration IoT Cost-Benefit Data Quality 102

CIO Business Intelligence

DECEMBER 8, 2022

NTT, which has been the official technology partner of the Tour de France for the past eight years, has used its Edge as a Service offerings to help the Tour de France retain its status as the world’s premier cycling event. By embracing technologies such as artificial intelligence (AI), the Internet of Things (IoT) and digital twins, A.S.O.

IoT 98

IoT Broadcasting Internet of Things Digital Transformation 98

FineReport

APRIL 9, 2024

Understanding Healthcare BI Tools The Role of Healthcare BI Tools Healthcare BI tools are instrumental in revolutionizing decision-making processes and patient care through the utilization of advanced data analysis and technology.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

IBM Big Data Hub

JUNE 29, 2023

First, availability measures the operational capacity of an asset over time. While reliability and availability are both measured in percentages, it’s possible—even likely—that these percentages will differ even when referring to the same piece of equipment. Why is asset reliability important?

Cost-Benefit 80

Cost-Benefit Measurement Management Predictive Analytics 80

IBM Big Data Hub

FEBRUARY 23, 2024

Beyond the simplistic chat bubble of conversational AI lies a complex blend of technologies, with natural language processing (NLP) taking center stage. Predictive analytics integrates with NLP, ML and DL to enhance decision-making capabilities, extract insights, and use historical data to forecast future behavior, preferences and trends.

Enterprise 98

Enterprise Interactive Data-driven Key Performance Indicator 98

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

Smart Data Collective

OCTOBER 16, 2023

Big data can also be utilized to improve security measures. They both depend on big data because it helps to strengthen the technology. Furthermore, we are already seeing various businesses employ the technology for multiple objectives. It can be used to uncover patterns, connections, or trends and analyze and anticipate them.

Big Data 101

Big Data IoT Cost-Benefit Advertising 101

Smart Data Collective

AUGUST 24, 2021

Analytics technology has helped improve financial management considerably. It is important to know how to use data analytics to improve your budget, cut costs and make sound investment decisions. One way to use analytics is to invest in cryptocurrencies more wisely. But what exactly should you look at?

Analytics 129

Analytics Data mining Analytics Technologies Predictive Analytics 129

FineReport

APRIL 21, 2024

Defining Business Intelligence and SaaS Business Intelligence (BI) encompasses the technologies and strategies used for data analysis and decision-making within organizations. Additionally, there is a growing demand for advanced analytics and data visualization tools to make data-driven decisions. What Are SaaS BI Tools?

Business Intelligence 52

Business Intelligence Visualization Dashboards Data-driven 52

Smart Data Collective

JANUARY 26, 2022

Legal analytics is an evolving discipline that is changing the future of the legal profession. Law firms are expected to spend over $9 billion on legal analytics technology by 2028. But what is legal analytics? We have had time to observe some major developments of legal analytics over the last year.

Data Analytics 72

Data Analytics Analytics Predictive Analytics Insurance 72

BizAcuity

APRIL 1, 2023

There are primarily two underlying techniques that can be leveraged for AML initiatives- Exploratory Data Analysis and Predictive analytics. The underlying technology used to convert the scanned image to machine readable format is called ‘Optical Character Recognition’ (OCR) or text recognition analysis.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

CIO Business Intelligence

JUNE 22, 2023

It’s already being used to help improve operational processes, strengthen customer service, measure employee experience, and bolster cybersecurity efforts, among other applications. These organizations will be better prepared to accommodate the rapid change associated with AI, making it easier to adopt new technology as it emerges.

IT 105

IT Machine Learning Deep Learning Technology 105

Smarten

APRIL 25, 2024

effortlessly access a wide range of in-depth statistical measures such as skewness/kurtosis, word/phrase frequency, standard deviation, and more. These measures empower them with a deeper understanding of their data like never before.

Data Quality 62

Data Quality Analytics Machine Learning Visualization 62

CIO Business Intelligence

OCTOBER 4, 2022

In the new report, titled “Digital Transformation, Data Architecture, and Legacy Systems,” researchers defined a range of measures of what they summed up as “data architecture coherence.” And, specifically among developers, 86% of respondents from those organizations said, “technology is more exciting than ever.”

Machine Learning 118

Machine Learning Data Architecture Uncertainty Data-driven 118

BizAcuity

JANUARY 18, 2023

There are primarily two underlying techniques that can be leveraged for AML initiatives- Exploratory Data Analysis and Predictive analytics. The underlying technology used to convert the scanned image to machine readable format is called ‘Optical Character Recognition’ (OCR) or text recognition analysis. Predictive Analytics.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

datapine

MAY 2, 2023

According to studies, 92% of data leaders say their businesses saw measurable value from their data and analytics investments. Your Chance: Want to test a professional logistics analytics software? Big data enables automated systems by intelligently routing many data sets and data streams.

Big Data 275

Big Data Cost-Benefit Internet of Things Optimization 275

Cloudera

JULY 19, 2022

The dynamic and interconnected world of global ecommerce, crypto currencies, and alternative payments places increased pressure on anti-financial crime measures to keep pace and transform alongside these initiatives. billion predicted for 2022. Consumers worldwide are projected to use mobile devices to make more than 30.7

Predictive Analytics 90

Predictive Analytics Risk Machine Learning Measurement 90

IBM Big Data Hub

MAY 17, 2024

And these technologies provide brands with intelligent tools, enabling more productivity and efficiency than was possible even five years ago. Today the technology’s advanced capabilities encourage widespread adoption. Meanwhile, 43% are using the technology to inform strategic decisions.

B2B 66

B2B Interactive Optimization Forecasting 66

Smart Data Collective

MARCH 7, 2021

Artificial intelligence is a form of technology that is drastically changing our lives. One of the most impactful ways that AI impacts our lives is by improving our cybersecurity technology. The Role of AI in Cybersecurity Technology. There are a lot of compelling reasons that many businesses are investing in AI technology.

Data-driven 127

Data-driven Software Technology Risk 127

Rocket-Powered Data Science

JULY 7, 2019

Definitions of terminology frequently seen and used in discussions of emerging digital technologies. Analytics: The products of Machine Learning and Data Science (such as predictive analytics, health analytics, cyber analytics). Career Relevance. NOTE: This page is a WIP = Work In Progress.). Industry 4.0

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

Smart Data Collective

JANUARY 30, 2023

Every year, we hear new stories about how artificial intelligence technology is becoming more integral to the marketing profession. AI technology is the backbone of many modern marketing strategies. Amazon, Google and Microsoft are all leveraging AI technology in their PPC practices. Find out what ticks your audiences.

Advertising 96

Advertising Cost-Benefit Marketing Strategy 96

IBM Big Data Hub

OCTOBER 30, 2023

IBM, a pioneer in data analytics and AI, offers watsonx.data, among other technologies, that makes possible to seamlessly access and ingest massive sets of structured and unstructured data. Real-world Business Solutions The real value of any technology is measured by its impact on real-world problems.

Insurance 80

Insurance Data Warehouse Data-driven Unstructured Data 80

DataKitchen

DECEMBER 9, 2022

ChatGPT> DataOps, or data operations, is a set of practices and technologies that organizations use to improve the speed, quality, and reliability of their data analytics processes. Query> DataOps. The goal of DataOps is to help organizations make better use of their data to drive business decisions and improve outcomes.

Machine Learning 130

Machine Learning Data-driven Optimization Modeling 130

Smart Data Collective

JANUARY 12, 2022

Data analytics has arguably become the biggest gamechanger in the field of finance. Many large financial institutions are starting to appreciate the many advantages that big data technology has brought. Markets and Markets estimates that the financial analytics market will be worth $11.4 billion in the next two years.

Data Analytics 115

Data Analytics Analytics Finance Data mining 115

CIO Business Intelligence

JULY 12, 2022

It starts with Chief Technology or Chief Information Officers, who must endorse the importance that the company places on tech innovation, by actively facilitating employees to spend 10 to 20% of their time learning or training others. At GfK , we provide consumer, market, and brand intelligence, with powerful predictive analytics.

Predictive Analytics 98

Predictive Analytics Software Consulting Measurement 98

IBM Big Data Hub

APRIL 25, 2024

Technologies such as supply chain management software (SCM), enterprise resource planning (ERP) systems, and advanced analytics tools can be used to automate and optimize processes. Embracing new technologies helps organizations improve performance, cybersecurity and scalability and positioning themselves for long-term success.

Cost-Benefit 57

Cost-Benefit Finance Optimization Key Performance Indicator 57

Cloudera

AUGUST 18, 2021

technologies. Data from sensors on factory equipment, for instance, delivers measurements on machine vibrations and ambient temperatures, which can be used for predictive maintenance to improve efficiencies and control costs. The hard part is to turn aspiration into reality by creating an organization that is truly data-driven.

Data Lake 91

Data Lake IoT Internet of Things Data-driven 91

datapine

MARCH 31, 2022

After acquiring 3 to 5 years of experience, you can specialize in a specific technology or industry and work as an analyst, IT expert, or even go to the management side by working as a BI project manager. They use advanced technologies such as machine learning models to generate predictions about future business performance.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239