CIO Business Intelligence

APRIL 8, 2024

Nearly 10 years ago, Bill James, a pioneer in sports analytics methodology, said if there’s one thing he wished more people understood about sabermetrics, pertaining to baseball, it’s that the data is not the point. Computer vision, AI, and machine learning (ML) all now play a role.

Analytics 99

Analytics Broadcasting Predictive Analytics Metrics 99

Analytics Vidhya

MAY 1, 2021

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Interesting in predictive analytics? Then research artificial intelligence, machine. The post Multiple Linear Regression Using Python and Scikit-learn appeared first on Analytics Vidhya.

Predictive Analytics 287

Predictive Analytics Data Science Publishing Analytics 287

Decision Management Solutions

JULY 16, 2021

By fusing business and technology in the digital age, the automation of digitized decision making or Digital Decisioning integrates analysis methods that go beyond data-driven to integrate data with predictive analytics and support for AI applications. Download the book summary flyer in Japanese here. eBook available at: [link].

Data-driven 59

Data-driven Predictive Analytics Machine Learning Interactive 59

Jet Global

OCTOBER 25, 2023

Every day, more companies unlock the potential of artificial intelligence (AI) and machine learning. When AI and machine learning are utilized in embedded analytics, the results are impressive. Much of this can be seen in modern solutions that offer advanced predictive analytics.

Analytics 52

Analytics Predictive Analytics Machine Learning Software 52

datapine

OCTOBER 21, 2020

One of the most notable areas where data analytics is making big changes is healthcare. In fact, healthcare analytics has the potential to reduce costs of treatment, predict outbreaks of epidemics, avoid preventable diseases, and improve the quality of life in general. 1) Patients Predictions For Improved Staffing.

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

Decision Management Solutions

FEBRUARY 26, 2020

The International Institute for Analytics (I’m a faculty member) recently hosted me for a webinar on Digital Decisioning: Driving Business Value from Advanced Analytics, Machine Learning and AI. A few key tips: It’s easy to spend money on AI and Machine Learning. It’s much harder to deliver value.

Machine Learning 45

Machine Learning Analytics Data Processing Management 45

Smart Data Collective

SEPTEMBER 24, 2019

A new generation of robots depend on machine learning technology. Machine learning has made them more responsive and boosted their capabilities in countless ways. However, many college robotics programs don’t provide a sufficient primer that covers the fundamentals of machine learning.

Machine Learning 73

Machine Learning Cost-Benefit Predictive Analytics Software 73

Smart Data Collective

DECEMBER 5, 2019

In June, Aviation Today published a great article on the state of machine learning and AI in the airline industry. The article showed that machine learning and AI are helping the industry become more lucrative in the 21 st Century. Machine Learning is the Key to Saving the Ailing Airline Industry.

Machine Learning 65

Machine Learning Cost-Benefit Strategy Marketing 65

Rocket-Powered Data Science

MARCH 10, 2020

In 2019, I was asked to write the Foreword for the book “ Graph Algorithms: Practical Examples in Apache Spark and Neo4j “ , by Mark Needham and Amy E. I wrote an extensive piece on the power of graph databases, linked data, graph algorithms, and various significant graph analytics applications. Graph Algorithms book.

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Metadata Machine Learning ROI Prescriptive Analytics 250

Jet Global

FEBRUARY 21, 2024

Pressure for on-demand data insights is increasing as potential buyers look for intuitive, but deep analytics functionality to help navigate their business through these uncertain economic times. According to insightsoftware and Hanover Research’s 2024 Embedded Analytics Report , customizable dashboards are in demand.

Analytics 52

Analytics Dashboards Predictive Analytics Software 52

Occam's Razor

MARCH 23, 2021

Analytics teams are named for the silos and limitations within which they trap themselves. Finally, few analytics teams obsess about predictive analytics in a way that allows them to dictate future action. The above-observed realities were on my mind as I took on a new role to lead Global Strategic Analytics.

Analytics 131

Analytics Scorecard Strategy Testing 131

Jedox

JULY 17, 2018

Many of us already profit from machine learning or artificial intelligence – often without even thinking about it. Finance in its new role, sitting at the center of data analytics, is increasingly expected to deliver the data-driven insights to guide company strategy.

Machine Learning 47

Machine Learning Technology Digital Transformation Predictive Analytics 47

Sisense

JUNE 30, 2020

Our BI Best Practices demystify the analytics world and empower you with actionable how-to guidance. Data visualization and visual analytics are two terms that come up a lot when new and experienced analytics users alike delve into the world of data in their quest to make smarter decisions. Thomas, and Kristin A.

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Visualization Analytics Dashboards Data-driven 93

Decision Management Solutions

DECEMBER 18, 2019

As we approach the end of the year, our friends over at the International Institute for Analytics (IIA) are re-tweeting some of their best content. Tom’s numbers – one in 8 or so – are in line with other studies we have seen across predictive analytics, machine learning and AI more broadly (like this one by McKinsey ).

Machine Learning 67

Machine Learning Predictive Analytics Modeling Risk 67

Jet Global

JANUARY 19, 2024

With this new unlocked potential, advanced analytics jumped back to the top of the capability wish list for many technology buyers. With customers now expecting more than ever from analytics, many development teams invested in embedded analytics solutions to reduce the workload and time to value for their applications.

Analytics 52

Analytics Dashboards Visualization Data-driven 52

Jet Global

FEBRUARY 1, 2024

Advanced analytics has emerged as a hot topic and a key area of focus for buyers looking to provide higher quality analysis to inform business decision-making in a turbulent market. Forrester Research predicts that the embedded analytics market will hit $16 billion in 2024. As technology advances, so do user expectations.

Analytics 52

Analytics Dashboards Reporting Marketing 52

Decision Management Solutions

JANUARY 24, 2020

Digital decisioning is a way to deliver smarter, simpler and more dynamic processes while effectively applying predictive analytics, machine learning and AI – not to the process itself, but to the critical decisions on which the process relies. What are the best resources to learn those skills?

Machine Learning 67

Machine Learning Predictive Analytics Data-driven Management 67

Smart Data Collective

NOVEMBER 18, 2020

Data Science is used in different areas of our life and can help companies to deal with the following situations: Using predictive analytics to prevent fraud Using machine learning to streamline marketing practices Using data analytics to create more effective actuarial processes. Machine learning.

Data mining 143

Data mining Data Science Informatics Statistics 143

IBM Big Data Hub

FEBRUARY 12, 2024

And thanks to online metrics, specific customer feedback, and data analytics, these retailers had more information about their customers than ever before. Look at Amazon, which started with books and moved into virtually everything else. Increasingly organizations expanded what they offered.

Data-driven 103

Data-driven Manufacturing Consulting Advertising 103

Decision Management Solutions

DECEMBER 12, 2018

Bill Franks, Tom Davenport and Bob Morison of the International Institute for Analytics recently published their 2019 Analytics Predictions & Priorities. They had some great predictions and suggested priorities around the ethics of analytics, the value of data and the use of AI in fraud and cybersecurity.

Analytics 40

Analytics Predictive Analytics Modeling Data-driven 40

CIO Business Intelligence

NOVEMBER 14, 2022

Bayer Crop Science has applied analytics and decision-support to every element of its business, including the creation of “virtual factories” to perform “what-if” analyses at its corn manufacturing sites. Types of decision support system In the book Decision Support Systems: Concepts and Resources for Managers , Daniel J. Clinical DSS.

Data mining 130

Data mining Data-driven Statistics OLAP 130

Decision Management Solutions

AUGUST 18, 2020

DDPs accomplish this by providing a suite of capabilities that enable business subject-matter experts to define decision logic, incorporate data-driven decision intelligence technologies such as machine learning (ML), govern change, and deploy digital decisions within business applications. Does that change the offers we make?

Machine Learning 88

Machine Learning Data-driven Descriptive Analytics Predictive Analytics 88

Smart Data Collective

AUGUST 31, 2020

Predictive analytics models have proven to be remarkably effective with the stock futures market. They build complex machine learning models that rely on numerous pieces of information. I first read his book in 1998. One of the reasons is its incredible resilience and dependence on rapidly changing technology.

Big Data 91

Big Data Forecasting Machine Learning Marketing 91

Jet Global

MAY 1, 2023

Introduction Why should I read the definitive guide to embedded analytics? 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.

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52

FineReport

APRIL 26, 2023

In this article, we will explore the importance of Big Data, why enterprises need Big Data tools, how to choose the right Big Data analytics tools and provide a list of the top 10 Big Data analytics tools available today. Descriptive Analytics is used to determine “what happened and why.” What is Big Data?

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

datapine

MARCH 31, 2022

Moreover, companies that use BI analytics are five times more likely to make swifter, more informed decisions. With analytical and business intelligence competencies, you can also choose to work with specific types of firms or companies operating within a particular niche or industry. billion by the end of 2021.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

FineReport

APRIL 25, 2024

It requires a blend of technical skills, analytical thinking, and creative flair to effectively communicate complex information through visuals. Before diving into the world of data visualization, it’s important to understand the basics and develop the necessary creative and analytical abilities.

Visualization 52

Visualization Data-driven Interactive Dashboards 52

IBM Big Data Hub

APRIL 25, 2024

The methodology gained prominence with the publication of a 1990 article in the Harvard Business Review, “Reengineering Work: Don’t Automate, Obliterate,” by Michael Hammer, and the 1993 book by Hammer and James Champy, Reengineering the Corporation.

Cost-Benefit 62

Cost-Benefit Finance Optimization Key Performance Indicator 62

IBM Big Data Hub

JULY 27, 2023

More recently, these systems have integrated advanced technologies like Internet of Things (IoT), artificial intelligence (AI) and machine learning (ML) to enable predictive analytics and real-time monitoring. While still in its early stages, the use of blockchain in EAM is a trend worth watching.

Cost-Benefit 60

Cost-Benefit IoT Internet of Things Enterprise 60

IBM Big Data Hub

JULY 26, 2023

The twin will continuously collect data from the physical asset and use predictive analytics and machine learning (ML) algorithms to predict future performance. By constantly monitoring equipment performance and comparing it to virtual counterparts, operators can predict potential failures or breakdowns.

Technology 57

Technology Cost-Benefit Optimization Internet of Things 57

Smart Data Collective

NOVEMBER 12, 2021

Companies have found that data analytics and machine learning can help them in numerous ways. Instead, your area of expertise could be selling books, providing insurance, or creating jewelry. One of the other benefits of data analytics is that it can help forecast future business activity.

Data-driven 104

Data-driven Cost-Benefit Data mining Big Data 104

Jet Global

JULY 17, 2023

In fact, most project teams spend 60 to 80 percent of total project time cleaning their data—and this goes for both BI and predictive analytics. To improve the effectiveness of the data cleaning process, the current trend is to migrate from manual data cleaning to more intelligent, machine learning-based processes.

Predictive Analytics 52

Predictive Analytics Reporting Software Strategy 52

datapine

NOVEMBER 19, 2019

Visual analytics: Around three million images are uploaded to social media every single day. 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.

Technology 279

Technology Internet of Things IT IoT 279

Domino Data Lab

JULY 22, 2019

why data governance, in the context of machine learning is no longer a “dry topic” and how the WSJ’s “global reckoning on data governance” is potentially connected to “premiums on leveraging data science teams for novel business cases”. Predictive analytics, yeah, not so much.” It’s not going to happen.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109

Domino Data Lab

JUNE 2, 2019

Secondly, I talked backstage with Michelle, who got into the field by working on machine learning projects, though recently she led data infrastructure supporting data science teams. Just doing machine learning is not enough, and sometimes not even necessary.”. and … my favorite line from Rev 2 … (wait for it) ….

Data-driven 110

Data-driven Data Science Machine Learning Modeling 110

Smarten

APRIL 19, 2022

Smarten is pleased to announce the addition of Sentiment Analysis features and functionality to its innovative, augmented analytics solution. This sophisticated analytical technique goes beyond quantitative questionnaires and surveys to capture the real opinions, feelings and sentiments of consumers, employees, and other stakeholders.

Slice and Dice 57

Slice and Dice Business Intelligence Advertising Predictive Modeling 57

Jet Global

OCTOBER 16, 2019

Think of it as trilogy and we’re only in book one. As we make our way to the end book one, robotic process automation becomes the protagonist (automating and speeding-up data entry tasks). As we make our way to the end book one, robotic process automation becomes the protagonist (automating and speeding-up data entry tasks).

Finance 58

Finance Data-driven Reporting Digital Transformation 58