Smarten

MAY 14, 2019

Use Predictive Analytics to test theories and hypotheses, and identify opportunities for cross-selling and upselling in your product and service portfolio. We invite you to explore other use cases and discover how predictive analytics, and assisted predictive modeling can help your business to achieve its goals.

Predictive Analytics 51

Predictive Analytics Analytics Predictive Modeling Advertising 51

Smarten

APRIL 17, 2018

How Can Assistive Predictive Modeling Help My Business Users? If you are wondering how and why predictive analytics software has expanded into the self-serve business user market, the reason is simple. Predictive Analytics Software should be easy to implement, easy to personalize and easy to use.

Predictive Analytics 40

Predictive Analytics Predictive Modeling Analytics Forecasting 40

Smarten

JULY 23, 2019

What is Predictive Analytics and How Can it Help My Business? What is predictive analytics? Put simply, predictive analytics is a method used to forecast and predict the future results and needs of an organization using historical data and a comprehensive set of data from across and outside the enterprise.

Modeling 63

Modeling Predictive Analytics Predictive Modeling IT 63

Cloudera

OCTOBER 14, 2020

Not many other industries have such a sophisticated business model that encompasses a culture of streamlined supply chains, predictive maintenance, and unwavering customer satisfaction. Step 1: Using the training data to create a model/classifier. Fig 2: Diagram showing how CML is used to build ML training models.

Machine Learning 97

Machine Learning Modeling Cost-Benefit Testing 97

CIO Business Intelligence

FEBRUARY 28, 2024

Essentially, the technology involves the replication of the human body in software models. Using these models, healthcare providers can test drugs and therapies with unprecedented speed and accuracy, reducing risks for both patients and physicians.

Informatics 110

Informatics Data-driven Digital Transformation Predictive Analytics 110

CIO Business Intelligence

JUNE 7, 2022

To ensure robust analysis, data analytics teams leverage a range of data management techniques, including data mining, data cleansing, data transformation, data modeling, and more. What are the four types of data analytics? In business, predictive analytics uses machine learning, business rules, and algorithms.

Data Analytics 133

Data Analytics Diagnostic Analytics Management Analytics 133

Smarten

JANUARY 27, 2023

Smarten has announced the launch of Predictive Model Mark-Up Language (PMML) Integration capability for its Smarten Augmented Analytics suite of products. Users can import PMML models and enjoy full integration and the full power of the Smarten feature set.’

Predictive Modeling 52

Predictive Modeling Analytics Predictive Analytics Business Intelligence 52

CIO Business Intelligence

JULY 5, 2022

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? What is the difference between business analytics and business intelligence? This is the purview of BI.

Business Analytics 132

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics 132

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. With IBM watsonx™ Assistant, companies can build large language models and train them using proprietary information, all while helping to ensure the security of their data.

Predictive Analytics 86

Predictive Analytics Sales Enterprise Predictive Modeling 86

CIO Business Intelligence

JANUARY 19, 2024

The exam tests general knowledge of the platform and applies to multiple roles, including administrator, developer, data analyst, data engineer, data scientist, and system architect. Candidates for the exam are tested on ML, AI solutions, NLP, computer vision, and predictive analytics.

Data Science 127

Data Science Machine Learning Predictive Modeling Experimentation 127

Smarten

DECEMBER 5, 2022

In this article, we provide a list with links that will detail some of the many analytical techniques your business users will employ and provide examples of how these techniques can be used to solve problems and identify opportunities with clear, easy techniques and results. Paired Sample T Test. Chi Square Test.

Predictive Analytics 52

Predictive Analytics Predictive Modeling Forecasting Testing 52

Smarten

DECEMBER 3, 2023

‘Augmented analytics is the use of enabling technologies such as machine learning and AI to assist with data preparation, insight generation and insight explanation to augment how people explore and analyze data in analytics and BI platforms. Augmented Analytics vs Predictive Analytics is not really a question.

Key Performance Indicator 52

Key Performance Indicator Analytics IT Predictive Analytics 52

Smarten

JULY 13, 2023

Citizen Data Scientists Can Leverage Predictive Analytics for Real Actionable Intelligence! Gartner technology analysts predict that organizations leveraging augmented analytics solutions will grow at twice the rate of those that do not use these solutions.

Predictive Modeling 52

Predictive Modeling Predictive Analytics Cost-Benefit Advertising 52

datapine

OCTOBER 21, 2020

Now that we live longer, treatment models have changed and many of these changes are namely driven by data. Every patient has his own digital record which includes demographics, medical history, allergies, laboratory test results, etc. and could provide a model for the EU to follow. 8) Predictive Analytics In Healthcare.

Big Data 364

Big Data Data Analytics Analytics Cost-Benefit 364

Smart Data Collective

JANUARY 27, 2021

A number of new predictive analytics algorithms are making it easier to forecast price movements in the cryptocurrency market. Conversely, if predictive analytics models suggest that the value of a cryptocurrency price is likely to decrease, more investors are likely to sell off their cryptocurrency holdings.

Machine Learning 139

Machine Learning Forecasting Predictive Analytics Marketing 139

CIO Business Intelligence

OCTOBER 13, 2023

Application data architect: The application data architect designs and implements data models for specific software applications. Analytics/data science architect: These data architects design and implement data architecture supporting advanced analytics and data science applications, including machine learning and artificial intelligence.

Data Architecture 131

Data Architecture Data Warehouse Statistics Visualization 131

datapine

NOVEMBER 27, 2019

However, businesses today want to go further and predictive analytics is another trend to be closely monitored. Another increasing factor in the future of business intelligence is testing AI in a duel. Industries harness predictive analytics in different ways.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

CIO Business Intelligence

JUNE 1, 2022

The company is applying winning insights from rapid, data-driven, evolutionary models versus relying on engine speed and aerodynamics alone to win races. which are virtual models of objects, systems, or processes ? Predictive analytics can foretell a breakdown before it happens.

Manufacturing 111

Manufacturing Digital Transformation Predictive Analytics Strategy 111

BizAcuity

APRIL 1, 2023

There are primarily two underlying techniques that can be leveraged for AML initiatives- Exploratory Data Analysis and Predictive analytics. Predictive Analytics It is a subset of business analytics that uses statistical techniques (algorithms) to find patterns in historical data points and predict future outcomes with high accuracy.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

Smarten

APRIL 1, 2024

Knowledgebase Articles Business Use Cases : Help & Manuals : Minimizing Number of Steps using Custom SQL in SSDP Geomap : Geomap types and configuration : Importing areas and their Lat / Long Installation : Installation on Windows : Bypassing Smarten executable files from Antivirus Scan Predictive Use cases Assisted predictive modelling : Hypothesis (..)

Predictive Modeling 62

Predictive Modeling Testing Modeling Analytics 62

BizAcuity

JANUARY 18, 2023

There are primarily two underlying techniques that can be leveraged for AML initiatives- Exploratory Data Analysis and Predictive analytics. Predictive Analytics. For predictive analytics to deliver high accuracy, a lot depends on the combination of domain knowledge and technical expertise. These include-.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

CIO Business Intelligence

JUNE 14, 2023

The certification focuses on the seven domains of the analytics process: business problem framing, analytics problem framing, data, methodology selection, model building, deployment, and lifecycle management. The exam consists of 65 multiple-choice or multiple-response questions, which the candidate has 180 minutes to complete.

Big Data 127

Big Data Data Analytics Analytics Predictive Modeling 127

Smart Data Collective

MAY 3, 2022

This was a hit or miss practice, because countless factors influence pricing models. Data analytics technology helps companies establish better price points. You can use data analytics to identify purchasing behavior across different demographic groups. More companies are using data analytics to optimize their pricing models.

Data Analytics 91

Data Analytics Analytics Big Data Sales 91

IBM Big Data Hub

SEPTEMBER 19, 2023

Overview: Data science vs data analytics Think of data science as the overarching umbrella that covers a wide range of tasks performed to find patterns in large datasets, structure data for use, train machine learning models and develop artificial intelligence (AI) applications.

Data Science 85

Data Science Data Analytics Prescriptive Analytics Analytics 85

Smarten

FEBRUARY 1, 2024

Knowledgebase Articles Datasets & Cubes : Calculating Pending Completion Months for an Ongoing Project General : Publish : Working with E-mail Delivery and Publishing Task Installation : Installation on Windows : Bypassing Smarten executable files from Antivirus Scan Predictive Use cases Assisted predictive modelling : Classification : Customer (..)

Predictive Modeling 62

Predictive Modeling Publishing Testing Modeling 62

Smarten

JUNE 29, 2018

This article focuses on the Independent Samples T Test technique of Hypothesis testing. What is the Independent Samples T Test Method of Hypothesis Testing? Let’s look at a sample of the Independent t-test on two variables. How Can the Independent Samples T Test Method Benefit an Organization? About Smarten.

Testing 40

Testing Statistics IT Business Intelligence 40

Smart Data Collective

MARCH 8, 2021

All in all, the concept of big data is all about predictive analytics. Thanks to the availability of comparative data for practically every type/model of a vehicle, fleet managers can plan maintenance activities based on certain knowledge. What’s even more important, predictive analytics prevents accidents on the road.

Big Data 143

Big Data Management Predictive Analytics Statistics 143

Smarten

JUNE 29, 2018

This article discusses the Paired Sample T Test method of hypothesis testing and analysis. What is the Paired Sample T Test? The Paired Sample T Test is used to determine whether the mean of a dependent variable e.g., weight, anxiety level, salary, reaction time, etc., is the same in two related groups.

Business Analysis 40

Business Analysis Testing Statistics Advertising 40

Smarten

JUNE 26, 2018

This article describes chi square test of association and hypothesis testing. What is the Chi Square Test of Association Method of Hypothesis Testing? Let’s conduct the Chi square test of independence using two variables: Gender and Product category. Use Case – 1. About Smarten.

Testing 40

Testing Statistics IT Business Intelligence 40

Domino Data Lab

JULY 28, 2021

There are many software packages that allow anyone to build a predictive model, but without expertise in math and statistics, a practitioner runs the risk of creating a faulty, unethical, and even possibly illegal data science application. All models are not made equal. After cleaning, the data is now ready for processing.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

datapine

JANUARY 31, 2022

Everything is being tested, and then the campaigns that succeed get more money put into them, while the others aren’t repeated. Your Chance: Want to try a professional BI analytics software? This methodology of “test, look at the data, adjust” is at the heart and soul of business intelligence.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

CIO Business Intelligence

NOVEMBER 14, 2022

A DSS leverages a combination of raw data, documents, personal knowledge, and/or business models to help users make decisions. According to Gartner, the goal is to design, model, align, execute, monitor, and tune decision models and processes. Model-driven DSS. They emphasize access to and manipulation of a model.

Data mining 137

Data mining Data-driven Statistics OLAP 137

datapine

AUGUST 29, 2022

7) Predictive Analytics: The Power to Predict Who Will Click, Buy, Lie, or Die by Eric Siegel. Best for: someone who has heard a lot of buzz about predictive analytics, but doesn’t have a firm grasp on the subject. – Eric Siegel, author, and founder of Predictive Analytics World.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Cloudera

APRIL 9, 2021

And this blog will focus on Predictive Analytics. Specifically, we’ll focus on training Machine Learning (ML) models to forecast ECC part production demand across all of its factories. Predictive Analytics – AI & machine learning. The second blog dealt with creating and managing Data Enrichment pipelines.

Machine Learning 98

Machine Learning Forecasting Manufacturing Predictive Analytics 98

Decision Management Solutions

APRIL 23, 2019

Predictive analytics can make a significant impact in this process, helping to ensure that carriers accept and price policies to properly balance the medical or financial risk against the value of the premiums. The use of predictive analytics in the underwriting decision increases the efficiency and consistency of risk evaluation.

Insurance 69

Insurance Risk Technology Management 69

CIO Business Intelligence

SEPTEMBER 12, 2022

Collectively, the agencies also have pilots up and running to test electric buses and IoT sensors scattered throughout the transportation system. But those are broad plans that involve several transportation agencies and multimillion-dollar capital expenditures. We have shown out value,” Fazal says of the transformation.

Data Warehouse 116

Data Warehouse Predictive Analytics Data Lake IoT 116

Jen Stirrup

FEBRUARY 24, 2024

Predictive analytics This Artificial Intelligence technique helps support all aspects of a small business. If the company decides to ‘roll its own’ and create its own AI system, it will need ongoing maintenance, such as monitoring, re-testing, and updating AI models over time (Simplilearn, 2024).

Cost-Benefit 70

Cost-Benefit Data-driven Testing Risk 70