Sisense

JANUARY 26, 2020

In Moving Parts , we explore the unique data and analytics challenges manufacturing companies face every day. Building an accurate predictive analytics model isn’t easy. It’s a difficult process, but an effective predictive analytics engine is an enormous asset for any organization. Big challenges, big rewards.

Predictive Analytics 78

Predictive Analytics Manufacturing Analytics Forecasting 78

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.

Metadata 250

Metadata Machine Learning Prescriptive Analytics ROI 250

Occam's Razor

NOVEMBER 13, 2009

I am absolutely thrilled that my book Web Analytics 2.0 The waterfall of positive feeling stems from the fact that this book was very hard to write. I only had one job, at Intuit, when I wrote my first web analytics book. The Pitch: I invite you to consider buying my second web analytics book.

Analytics 71

Analytics Metrics Measurement Testing 71

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

Decision Management Solutions

JANUARY 16, 2020

The Machine Learning Times (previously Predictive Analytics Times) is the only full-scale content portal devoted exclusively to predictive analytics. ” In his article, Eric warns, “Predictive models often fail to launch. In this month’s featured article, Eric Siegel, Ph.D.,

Machine Learning 87

Machine Learning Predictive Modeling Predictive Analytics Deep Learning 87

Smart Data Collective

DECEMBER 2, 2019

Travel booking is only one of the areas being heavily automated by machine learning algorithms. There are many sites available today which helps its users to book cheap flights using analytics. Adding a tool like this to an online travel agency portal is a smart way to hook customers in and entice them to book more trips.

Big Data 145

Big Data Machine Learning Forecasting Data Science 145

datapine

MARCH 31, 2022

To help you with your studies, you can start here with a list of the best SQL books that will help you take your skills to the next level. If you’d like some resources in this area, we have posts on related business intelligence books and business intelligence podcasts you can use to start your research.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

datapine

MAY 9, 2019

In his book, Waitzkin states that the best chess players are those that can take in the most information in a short span of time. As laid out by the Nobel winning psychologist Daniel Kahneman in his book Thinking, Fast and Slow , your brain has two different learning and decision making systems: **Source: Readinggraphics.com.

Business Intelligence 270

Business Intelligence Dashboards Data Warehouse Visualization 270

CIO Business Intelligence

APRIL 8, 2024

In the years since author Michael Lewis popularized sabermetrics in his 2003 book, Moneyball: The Art of Winning an Unfair Game , sports analytics has evolved considerably beyond baseball. Improving player safety in the NFL The NFL is leveraging AI and predictive analytics to improve player safety.

Analytics 118

Analytics Broadcasting Predictive Analytics Machine Learning 118

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. Where to Use Data Science? Including yourself.

Data mining 144

Data mining Data Science Informatics Statistics 144

Smart Data Collective

FEBRUARY 5, 2021

This is an area where big data can be somewhat helpful, because a lot of predictive analytics tools help assess the probability that you are about to be scammed. You can use predictive analytics tools for fraud scoring with emails from forex providers and to identify suspicious activity on websites run by such companies.

Data Analytics 130

Data Analytics Analytics Big Data Predictive Analytics 130

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. books, articles, courses). What are the best resources to learn those skills?

Machine Learning 67

Machine Learning Predictive Analytics Data-driven Management 67

BizAcuity

OCTOBER 21, 2019

Another independent study backed by TripAdvisor found that more than 80% of the travelers spent time to read as many as 6 to 12 reviews before finalizing their hotel bookings. Similarly, another survey indicated that for 29% of consumers, positive online reviews are the most important factor in their booking decision.

Analytics 73

Analytics Unstructured Data Data mining Structured Data 73

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

CIO Business Intelligence

NOVEMBER 14, 2022

Types of decision support system In the book Decision Support Systems: Concepts and Resources for Managers , Daniel J. This data visualization and analytics software helps users create dashboards and power predictive applications and real-time analytics applications. TIBCO Spotfire.

Data mining 144

Data mining Data-driven Statistics OLAP 144

IBM Big Data Hub

JUNE 5, 2024

Predictive analytics. Predictive analytics forecast future events based on historical data; AI and ML models—such as regression analysis , neural networks and decision trees —enhance the accuracy of these predictions. Predictive analytics are equally valuable for user insights.

Analytics 79

Analytics Predictive Analytics Unstructured Data Data-driven 79

CIO Business Intelligence

MARCH 14, 2022

More advanced decision automation relies on predictive analytics that can take many more factors into account, like age, payment history, and amount of savings in our credit card example. Extending our credit increase example, imagine a consumer is browsing flights to Portugal in their credit card’s travel booking portal.

Uncertainty 105

Uncertainty Measurement Cost-Benefit Optimization 105

Cloudera

FEBRUARY 3, 2021

Capacity on planes and with ground transportation has been booked, and, of course, this was all done in the absence of the vaccine itself. Leveraging all data sources and breaking down the silos that prevent data consolidation allows advanced predictive analytics. But that’s not the whole story.

Manufacturing 107

Manufacturing Forecasting Internet of Things Risk 107

Smart Data Collective

SEPTEMBER 24, 2019

Since the 1950s, teenage boys around the world have expressed an interest in robots after reading books by Isaac Asimov and other science fiction writers. Machine learning has made it possible for them to digest new data and use predictive analytics tools to understand the new situations they are going to face.

Machine Learning 94

Machine Learning Cost-Benefit Predictive Analytics Software 94

Occam's Razor

JANUARY 6, 2010

The second was about predictive analytics and how using massive integrations between online and offline databases they had accomplished some really cool reporting of data (and make no doubt the IT work done over 18 months to accomplish this was cool). A cartoon book? Young adults who are looking to buy net books.

Analytics 99

Analytics IT Statistics Metrics 99

Smart Data Collective

NOVEMBER 12, 2021

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. You can use predictive analytics tools to anticipate future sales volume, regulatory issues and much more.

Data-driven 128

Data-driven Cost-Benefit Data mining Big Data 128

Sisense

JUNE 30, 2020

Prescriptive analytics takes things a stage further: In addition to helping organizations understand causes, it helps them learn from what’s happened and shape tactics and strategies that can improve their current performance and their profitability. Predictive analytics is the most beneficial, but arguably the most complex type.

Visualization 93

Visualization Analytics Dashboards Data-driven 93

Decision Management Solutions

AUGUST 18, 2020

Neil Raden and I introduced the basic classification of decisions used here in our book, Smart (Enough) Systems , back in 2007: Strategic, one-time one-off decisions typically made with plenty of time for analysis. Identify the predictions that would change and improve your decision-making. Does that change the offers we make?

Machine Learning 88

Machine Learning Data-driven Predictive Analytics Descriptive Analytics 88

datapine

NOVEMBER 19, 2019

An exemplary application of this trend would be Artificial Neural Networks (ANN) – the predictive analytics method of analyzing data. For example, you could tell your phone about the trip you plan and it would book the most convenient flight, hotel and rental car for you.

Technology 279

Technology Internet of Things IT IoT 279

BizAcuity

FEBRUARY 15, 2019

With more and more information became readily available online in the mid 2000s, companies started taking advantage of it by leveraging big data analytics. Some businesses in 2003 started using predictive analytics generating an average Return on Investment or ROI of 145% as per the study that was undertaken by IDC.

Sales 67

Sales Analytics B2B ROI 67

Jet Global

JANUARY 7, 2021

In his classic book How to Win Friends and Influence People, Dale Carnegie tells the story of how Charles Schwab increased productivity in an underperforming mill by 67 percent in a single day. At the end of each shift, Schwab used a piece of chalk to record a single number on the plant floor.

Dashboards 98

Dashboards Key Performance Indicator Metrics Business Intelligence 98

Decision Management Solutions

APRIL 15, 2019

Carriers know that leveraging customer data and predictive analytics at the individual customer level is the best way to drive new revenue, build loyalty, and increase customer retention rates.Engaging and growing relationships with younger consumers is a particularly important part of many carriers’ strategic objectives.

Insurance 63

Insurance Technology Predictive Analytics Sales 63

Smart Data Collective

DECEMBER 5, 2019

Competitive fares and bookings are monitored by the airlines, which allows revenue management to help airlines determine what strategy their schedule should take with the goal of driving demand. Predictive analytics will be used much more in airline marketing in the months to come. Is Machine Learning Truly Helping Airlines?

Machine Learning 94

Machine Learning Cost-Benefit Strategy Insurance 94

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 92

Data-driven Manufacturing Advertising Consulting 92

DataRobot Blog

SEPTEMBER 22, 2022

After a successful Proof of Value, French insurance giant Matmut was able to automate its manual predictive analytics process using DataRobot AI Cloud. Use this link to book a 1:1 meeting with the DataRobot team onsite. Book a 1:1 Meeting with the DataRobot Team at Big Data & AI Paris. Book a Meeting.

Big Data 52

Big Data Insurance Experimentation Data Science 52

FineReport

JUNE 7, 2024

FineReport : Enterprise-Level Reporting and Dashboard Software Try FineReport Now In 2024, FanRuan continues to push boundaries with groundbreaking advancements in AI-driven analytics and real-time data analytics processing. Elevate your data transformation journey with Dataiku’s comprehensive suite of solutions.

Visualization 52

Visualization Predictive Analytics Dashboards Predictive Modeling 52

Jedox

JULY 17, 2018

We use natural language to get driving directions and in the not-too-far future many of us will have a robotic virtual assistant booking hairdresser appointments and making reservations for us, it may even be natural to book a self-driving car to get there. Forbes 2018, 10 Predictions For AI, Big Data, And Analytics in 2018.

Machine Learning 47

Machine Learning Technology Digital Transformation Predictive Analytics 47

Cloudera

MARCH 18, 2021

The Fundamental Review of the Trading Book (FRTB), introduced by the Basel Committee on Banking Supervision (BCBS), will transform how banks measure risk. A revised boundary between the trading book and banking book. This is likely to increase capital requirements by 22% , on average, according to BCBS.

Machine Learning 55

Machine Learning Risk Risk Management Measurement 55

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

bridgei2i

JULY 8, 2020

This is where data, analytics, and AI is playing a crucial role across the spectrum of descriptive and predictive analytics that we’ve always seen, and increasingly prescriptive AI that is helping senior managers guide decision making in as near real-time as possible. Tune in for more.

Digital Transformation 132

Digital Transformation Enterprise Insurance Risk 132

CIO Business Intelligence

JULY 21, 2023

At the forefront of these solutions is the development of advanced software and mobile applications, designed for real-time tracking, streamlined booking, and effective data-driven management of transportation services. The technology stack required is multilayered and versatile.

Digital Transformation 98

Digital Transformation Cost-Benefit Data-driven Software 98

Decision Management Solutions

DECEMBER 12, 2018

Three predictions, however, touched on our work around Decision Management, including some of the research I have done as a faculty member for IIA such as this on Framing Requirements for Predictive Analytic Projects with Decision Modeling. Merge AI and Analytics.

Analytics 40

Analytics Predictive Analytics Modeling Data Science 40