Data mining, Modeling and Predictive Analytics

Rapidminer Platform Supports Entire Data Science Lifecycle

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

Data Science Data Lake Data mining Deep Learning

Predictive Analytics: 4 Primary Aspects of Predictive Analytics

Smart Data Collective

SEPTEMBER 16, 2020

Predictive analytics, sometimes referred to as big data analytics, relies on aspects of data mining as well as algorithms to develop predictive models. The applications of predictive analytics are extensive and often require four key components to maintain effectiveness.

Predictive Analytics

Predictive Analytics Analytics Predictive Modeling Data mining

What is predictive analytics? Transforming data into future insights

CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. from 2022 to 2028.

Predictive Analytics

Predictive Analytics Analytics Predictive Modeling Forecasting

Webinars

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Deciphering The Seldom Discussed Differences Between Data Mining and Data Science

Smart Data Collective

NOVEMBER 18, 2020

You may not even know exactly which path you should pursue, since some seemingly similar fields in the data technology sector have surprising differences. We decided to cover some of the most important differences between Data Mining vs Data Science in order to finally understand which is which. What is Data Science?

Data mining

Data mining Data Science Informatics Statistics

Top 8 predictive analytics tools compared

CIO Business Intelligence

MAY 12, 2022

But sometimes can often be more than enough if the prediction can help your enterprise plan better, spend more wisely, and deliver more prescient service for your customers. What are predictive analytics tools? Predictive analytics tools blend artificial intelligence and business reporting. Highlights. Deployment.

Predictive Analytics

Predictive Analytics Analytics Statistics Machine Learning

Enhance your Lending with Predictive Analytics

BizAcuity

MARCH 18, 2019

Credit scoring systems and predictive analytics model attempt to quantify uncertainty and provide guidance for identifying, measuring and monitoring risk. Benefits of Predictive Analytics in Unsecured Consumer Loan Industry. Predictive Analytics enhances the Lending Process.

Predictive Analytics

Predictive Analytics Analytics Data mining Cost-Benefit

Fundamentals of Data Mining

Data Science 101

OCTOBER 31, 2019

This data alone does not make any sense unless it’s identified to be related in some pattern. Data mining is the process of discovering these patterns among the data and is therefore also known as Knowledge Discovery from Data (KDD). Machine learning provides the technical basis for data mining.

Data mining

Data mining KDD Data Science Forecasting

Transforming Credit and Collection with Predictive Analytics

BizAcuity

APRIL 28, 2019

Today, it’s no secret that most forward-thinking businesses are keenly following the latest developments on big data, artificial intelligence, machine learning, and predictive analytics. With Big Data, it is possible to acquire and segregate data with laser sharp focus with respect to one singular debtor.

Predictive Analytics

Predictive Analytics Analytics Big Data Data mining

What is business analytics? Using data to improve business outcomes

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. Business analytics is a subset of data analytics. What is the difference between business analytics and business intelligence?

Business Analytics

Business Analytics Prescriptive Analytics Data mining Diagnostic Analytics

What is data analytics? Analyzing and managing data for decisions

CIO Business Intelligence

JUNE 7, 2022

Data analytics draws from a range of disciplines — including computer programming, mathematics, and statistics — to perform analysis on data in an effort to describe, predict, and improve performance. What are the four types of data analytics? Data analytics methods and techniques.

Data Analytics

Data Analytics Diagnostic Analytics Management Analytics

What are decision support systems? Sifting data for better business decisions

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. The data sources used by a DSS could include relational data sources, cubes, data warehouses, electronic health records (EHRs), revenue projections, sales projections, and more.

Data mining

Data mining Data-driven Statistics OLAP

Glossary of Digital Terminology for Career Relevance

Rocket-Powered Data Science

JULY 7, 2019

Analytics: The products of Machine Learning and Data Science (such as predictive analytics, health analytics, cyber analytics). Edge Computing (and Edge Analytics): Industry 4.0: Algorithm: A set of rules to follow to solve a problem or to decide on a particular action (e.g., See [link].

Internet of Things

Internet of Things Machine Learning Manufacturing IoT

What Is The Difference Between Business Intelligence And Analytics?

datapine

MARCH 25, 2022

There is not a clear line between business intelligence and analytics, but they are extremely connected and interlaced in their approach towards resolving business issues, providing insights on past and present data, and defining future decisions. A fundamental differentiation factor is in the method each of them uses as a base.

Business Intelligence

Business Intelligence Analytics Statistics Dashboards

Small Businesses Use Big Data to Offset Risk During Economic Uncertainty

Smart Data Collective

MARCH 2, 2023

Big data helps businesses address cash flow needs A growing number of companies use big data technology to improve their financing. They can use data mining tools to evaluate the average interest rate of different lenders. Therefore, data-driven pricing may be even more critical during a bad economy.

Big Data

Big Data Uncertainty Risk Data mining

The Importance of Leveraging Analytics in Ecommerce Website Design

Smart Data Collective

OCTOBER 31, 2021

The good news is that highly advanced predictive analytics and other data analytics algorithms can assist with all of these aspects of the design process. Selecting a segment with analytics. The good news is that analytics technology is very helpful here. Analytics technology can help in a number of ways.

Analytics

Analytics Data mining Analytics Technologies Sales

Why Data-Driven Outsourcing Can Be a Massive Win for Your Business

Smart Data Collective

NOVEMBER 12, 2021

We talked about the benefits of outsourcing IoT and other data science obligations. You should use big data to improve your outsourcing models by data mining pools of talented employees. Data-Driven Businesses Are Shifting More Towards Outsourcing Models. Global companies spent over $92.5 Here’s why.

Data-driven

Data-driven Cost-Benefit Data mining Big Data

The top 15 big data and data analytics certifications

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. They can also transform the data, create data models, visualize data, and share assets by using Power BI.

Big Data

Big Data Data Analytics Analytics Predictive Modeling

Ways Data Analytics Helps Business Owners Resolve Financial Issues

Smart Data Collective

JANUARY 12, 2022

Data analytics tools can help you figure out how to improve your credit score. Services like Credit Sesame use sophisticated data mining and predictive analytics tools to help you better understand the variables impacting your credit score.

Data Analytics

Data Analytics Analytics Finance Data mining

What is a data architect? Skills, salaries, and how to become a data framework master

CIO Business Intelligence

OCTOBER 13, 2023

Solutions data architect: These individuals design and implement data solutions for specific business needs, including data warehouses, data marts, and data lakes. Application data architect: The application data architect designs and implements data models for specific software applications.

Data Architecture

Data Architecture Data Warehouse Statistics Visualization

A Guide To Starting A Career In Business Intelligence & The BI Skills You Need

datapine

MARCH 31, 2022

A data scientist has a similar role as the BI analyst, however, they do different things. While analysts focus on historical data to understand current business performance, scientists focus more on data modeling and prescriptive analysis. They can help a company forecast demand, or anticipate fraud.

Business Intelligence

Business Intelligence Statistics Visualization Data-driven

12 data science certifications that will pay off

CIO Business Intelligence

JANUARY 19, 2024

The exam covers everything from fundamental to advanced data science concepts such as big data best practices, business strategies for data, building cross-organizational support, machine learning, natural language processing, scholastic modeling, and more.

Data Science

Data Science Machine Learning Predictive Modeling Experimentation

Understand PMML (It’s Not That Hard)!

Smarten

MAY 13, 2024

Incorporate PMML Integration Within Augmented Analytics to Easily Manage Predictive Models! You may not be an analytics expert and you may find terms like PMML Integration somewhat daunting. PMML is Predictive Model Markup Language. But in reality, the concept is not complex, and the value is outstanding!

Predictive Modeling

Predictive Modeling Data mining Predictive Analytics Modeling

The Purpose of Analytics is not Reporting or Monitoring but Deciding

Decision Management Solutions

JULY 8, 2020

The research looked at the increasingly broad portfolio of analytic capabilities available to enterprises – everything from traditional Business Intelligence (BI) capabilities like reporting and ad-hoc queries to modern visualization and data discovery capabilities as well as advanced (predictive) analytics.

Reporting

Reporting Analytics ROI Key Performance Indicator

Make Your Investment in Analytic Technology Pay Off With Decision Requirements Modeling

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). 1 MIT Sloan Management Review September 06, 2017.

Analytics Technologies

Analytics Technologies Technology Modeling Key Performance Indicator

Business Intelligence Solutions: Every Thing You Need to Know

FineReport

JUNE 24, 2021

Technicals such as data warehouse, online analytical processing (OLAP) tools, and data mining are often binding. On the opposite, it is more of a comprehensive application of data warehouse, OLAP, data mining, and so forth. Predictive analytics and modeling.

Business Intelligence

Business Intelligence OLAP Data mining Visualization

Decide to Decide Digitally: New Forrester Research

Decision Management Solutions

AUGUST 18, 2020

The paper has some great discussion of this critical point to which I would add a couple of observations from our work with clients around the world: Use decision models to understand your decisioning problem and find the right technologies to automate it. Build a decision model using the Decision Model and Notation standard first.

Machine Learning

Machine Learning Data-driven Descriptive Analytics Predictive Analytics

Understanding Demand Forecasting And Then Mastering It

BizAcuity

MAY 7, 2019

Today, several businesses, especially those belonging to the FMCG sector, have sophisticated demand forecasting models in place, which help them stay ahead of the market. An area of predictive analytics, demand forecasting takes into account the historical data of a business and uses that to harnesses the demand for their goods and services.

Forecasting

Forecasting IT Sales Statistics

ERP Integration Benefits Data-Savvy eCommerce for Distribution Industry

Smart Data Collective

APRIL 7, 2022

Companies in the distribution industry are particularly dependent on data, due to the complicated logistics issues they encounter. There are many reasons that data analytics and data mining are vital aspects of modern e-commerce strategies.

B2B

B2B Big Data Sales Cost-Benefit

Data science vs data analytics: Unpacking the differences

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

Data Science Data Analytics Prescriptive Analytics Analytics

Knowledge

Occam's Razor

AUGUST 22, 2011

Mobile Marketing and Analytics: Click-to-Call Mobile Ad Campaigns. Key To Your Digital Success: Web Analytics Measurement Model. Slay The Analytics Data Quality Dragon & Win Your HiPPO's Love! Web Data Quality: A 6 Step Process To Evolve Your Mental Model. What's The Fix?

KPI

KPI Metrics Measurement ROI

8 Steps to Leveraging Analytics to Create Successful Ecommerce Stores

Smart Data Collective

MARCH 30, 2022

Companies that know how to leverage analytics will have the following advantages: They will be able to use predictive analytics tools to anticipate future demand of products and services. They can use data on online user engagement to optimize their business models.

Analytics

Analytics Cost-Benefit Testing Dashboards

Fraud, AI and Digital Decisioning

Decision Management Solutions

FEBRUARY 19, 2020

Traditional requirements approaches don’t work well for decisioning systems so you need to build a decision model to get this understanding. Apply DecisionsFirst design thinking to make sure you capture a realistic and accurate model of the decision. Mix and match the technology you need for this problem.

Data mining

Data mining Machine Learning Risk Modeling

What’s the Difference Between Business Intelligence and Business Analytics?

Sisense

AUGUST 11, 2019

BA is a catch-all expression for approaches and technologies you can use to access and explore your company’s data, with a view to drawing out new, useful insights to improve business planning and boost future performance. BI is also about accessing and exploring your organization’s data. What About “Business Intelligence”?

Business Intelligence

Business Intelligence Business Analytics Analytics OLAP

Incorporating Artificial Intelligence for Businesses : The Modern Approach to Data Analytics

BizAcuity

MARCH 31, 2022

AI can be applies to all 3 major types of analytics: Descriptive Analytics: The entire journey of the descriptive and diagnostic analytics process includes data extraction, data aggregation and data mining; 3 applications where AI is widely used to reduce costs, and eliminate complex actions.

Data Analytics

Data Analytics Analytics Prescriptive Analytics Predictive Analytics

Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

JULY 6, 2023

It uses advanced tools to look at raw data, gather a data set, process it, and develop insights to create meaning. Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming.

Machine Learning

Machine Learning Data Science Statistics Deep Learning

Is Advanced Analytics the Next Logical Step Beyond Self-Serve Business Intelligence?

Smarten

JANUARY 31, 2019

Put simply, business Intelligence uses historical data to reveal where the business has been, and managers can use this data to predict competitive response and discover what is changing in customer buying behavior and in sales.

Business Intelligence

Business Intelligence Analytics Predictive Modeling Forecasting

Five Steps for Building a Successful BI Strategy

Sisense

SEPTEMBER 12, 2019

A business intelligence strategy is a blueprint that enables businesses to measure their performance, find competitive advantages, and use data mining and statistics to steer the business towards success. . Every company has been generating data for a while now. But what is a BI strategy in today’s world?

Strategy

Strategy Dashboards Diagnostic Analytics Prescriptive Analytics

Decoding Data Analyst Job Description: Skills, Tools, and Career Paths

FineReport

MARCH 24, 2024

Diagnostic analytics: Uncovering the reasons behind specific occurrences through pattern analysis. Descriptive analytics: Assessing historical trends, such as sales and revenue. Predictive analytics: Forecasting likely outcomes based on patterns and trends to facilitate proactive decision-making.

Statistics

Statistics Data mining Visualization Reporting

McKesson: Using Big Data to Improve Care and Save Lives

Sisense

AUGUST 19, 2020

Disrupting Markets is your window into how companies have digitally transformed their businesses, shaken up their industries, and even changed the world through the use of data and analytics. The use of big data analytics and cloud computing has spiked phenomenally during the last decade.

Big Data

Big Data Machine Learning Digital Transformation Data-driven

The Impact of Healthcare BI Tools on Decision-Making and Patient Care

FineReport

APRIL 9, 2024

By harnessing the power of healthcare data analysis , organizations can extract valuable insights from complex datasets, ultimately leading to improved healthcare outcomes and operational efficiency. The integration of clinical data analysis tools empowers healthcare providers to leverage predictive analytics for proactive decision-making.

Digital Transformation

Digital Transformation Business Intelligence Data-driven Visualization

International Institute for Analytics 2019 Predictions – Some Thoughts

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. Emphasis theirs].

Analytics

Analytics Predictive Analytics Modeling Data Science

Power Up Your Predictions with Plug n’ Play Predictive Analysis

Smarten

MAY 24, 2017

One of the most important elements of advanced data discovery and advanced analytics tools is plug n’ play predictive analysis and forecasting tools. These tools can support the enterprise initiative to implement self-serve advanced analytics and transform business users into Citizen Data Scientists.

Forecasting

Forecasting Business Intelligence Sales Predictive Analytics

10 Best Big Data Analytics Tools You Need To Know in 2023

FineReport

APRIL 26, 2023

For example, a computer manufacturing company could develop new models or add features to products that are in high demand. E-commerce giants like Alibaba and Amazon extensively use big data to understand the market. Descriptive Analytics is used to determine “what happened and why.” Pricing : Lumify is a free tool.

Big Data

Big Data Data Analytics Analytics Cost-Benefit

15 Best Data Analysis Tools You Can’t Miss in 2022

FineReport

JULY 18, 2022

Key features: Data analysts use Python to realize the functions like data crawling, data cleaning, data modeling, data visualization, data mining, etc. It can realize most of the functions used in general data analysis and academic data analysis. Python enjoys strong portability.

Forecasting

Forecasting Dashboards Statistics Visualization

Rapidminer Platform Supports Entire Data Science Lifecycle

Predictive Analytics: 4 Primary Aspects of Predictive Analytics

Webinars

Trending Sources

What is predictive analytics? Transforming data into future insights

Webinars

Deciphering The Seldom Discussed Differences Between Data Mining and Data Science

Top 8 predictive analytics tools compared

Enhance your Lending with Predictive Analytics

Fundamentals of Data Mining

Transforming Credit and Collection with Predictive Analytics

What is business analytics? Using data to improve business outcomes

What is data analytics? Analyzing and managing data for decisions

What are decision support systems? Sifting data for better business decisions

Glossary of Digital Terminology for Career Relevance

What Is The Difference Between Business Intelligence And Analytics?

Small Businesses Use Big Data to Offset Risk During Economic Uncertainty

The Importance of Leveraging Analytics in Ecommerce Website Design

Why Data-Driven Outsourcing Can Be a Massive Win for Your Business

The top 15 big data and data analytics certifications

Ways Data Analytics Helps Business Owners Resolve Financial Issues

What is a data architect? Skills, salaries, and how to become a data framework master

A Guide To Starting A Career In Business Intelligence & The BI Skills You Need

12 data science certifications that will pay off

Understand PMML (It’s Not That Hard)!

The Purpose of Analytics is not Reporting or Monitoring but Deciding

Make Your Investment in Analytic Technology Pay Off With Decision Requirements Modeling

Business Intelligence Solutions: Every Thing You Need to Know

Decide to Decide Digitally: New Forrester Research

Understanding Demand Forecasting And Then Mastering It

ERP Integration Benefits Data-Savvy eCommerce for Distribution Industry

Data science vs data analytics: Unpacking the differences

Knowledge

8 Steps to Leveraging Analytics to Create Successful Ecommerce Stores

Fraud, AI and Digital Decisioning

What’s the Difference Between Business Intelligence and Business Analytics?

Incorporating Artificial Intelligence for Businesses : The Modern Approach to Data Analytics

Data science vs. machine learning: What’s the difference?

Is Advanced Analytics the Next Logical Step Beyond Self-Serve Business Intelligence?

Five Steps for Building a Successful BI Strategy

Decoding Data Analyst Job Description: Skills, Tools, and Career Paths

McKesson: Using Big Data to Improve Care and Save Lives

The Impact of Healthcare BI Tools on Decision-Making and Patient Care

International Institute for Analytics 2019 Predictions – Some Thoughts

Power Up Your Predictions with Plug n’ Play Predictive Analysis

10 Best Big Data Analytics Tools You Need To Know in 2023

15 Best Data Analysis Tools You Can’t Miss in 2022

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