Smart Data Collective

AUGUST 7, 2019

The best thing that you can do is find some data analytics tools to solve your most pressing challenges. There are many benefits to data analytics. Data analytics plays a significant role in these aspects of business operations. Another data analysis tool that many businesses use today is CRM analytics.

Data Analytics 100

Data Analytics Analytics Big Data Data Lake 100

AWS Big Data

MARCH 7, 2023

This post provides guidance on how to build scalable analytical solutions for gaming industry use cases using Amazon Redshift Serverless. The following diagram is a conceptual analytics data hub reference architecture. This reference architecture partly combines a data hub and data lake to enable comprehensive analytics services.

Analytics 68

Analytics Data Warehouse Data Lake Metadata 68

Jedox

MAY 17, 2022

Predictive analytics is a discipline that’s been around in some form since the dawn of measurement. We’ve always been trying to predict the future; go back in history to look at prognosticators like Nostradamus and many other prophets. A Brief History of Predictive Analytics. What is Predictive Analytics?

Predictive Analytics 83

Predictive Analytics Finance Forecasting Analytics 83

Smarten

MAY 29, 2023

Select the Augmented Analytics Solutions That Will Best Support Them! If you can take the guesswork and data science skills requirement out of the analytical process, your Citizen Data Scientists will thrive and your organization will get the most out of its commitment to self-serve augmented analytics and digital transformation (Dx).’

Prescriptive Analytics 52

Prescriptive Analytics Predictive Modeling Digital Transformation Business Objectives 52

Smarten

DECEMBER 3, 2023

Let’s look at some of the reasons business intelligence (BI) and augmented analytics are important to your business and the benefits this type of solution can provide for your enterprise. Why is augmented analytics an important factor in your success? So, what does all this mean to your business?

Analytics 40

Analytics Cost-Benefit Data Quality Consulting 40

Smarten

APRIL 12, 2023

Smarten announces the launch of SnapShot Anomaly Monitoring Alerts for Smarten Augmented Analytics. SnapShot Monitoring provides powerful data analytical features that reveal trends and anomalies and allow the enterprise to map targets and adapt to changing markets with clear, prescribed actions for continuous improvement.

Snapshot 52

Snapshot Key Performance Indicator KPI Business Intelligence 52

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 83

Predictive Analytics Analytics Cost-Benefit Data mining 83

FineReport

APRIL 9, 2024

From advanced analytics to predictive modeling, the evolving landscape of business intelligence is revolutionizing how data is processed and leveraged for actionable insights. Intuitive navigation, customizable dashboards, and self-service analytics are factors that enhance the ease of use.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

Birst BI

OCTOBER 30, 2018

Fortunately, advances in analytic technology have made the ability to see reliably into the future a reality. Today, the most common usage of business intelligence is for the production of descriptive analytics. . Descriptive Analytics: Valuable but limited insights into historical behavior.

Predictive Analytics 73

Predictive Analytics Descriptive Analytics Analytics Metrics 73

CIO Business Intelligence

SEPTEMBER 5, 2023

It could allow analytics to become even more predictive by using data in AI algorithms to identify trends and patterns long before they become obvious. As a result, it has been able to explain abnormal events with 77% accuracy and predict future sensor measurements with 70% accuracy.

Technology 92

Technology Predictive Modeling Predictive Analytics Forecasting 92

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

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

Smarten

NOVEMBER 22, 2019

Data literacy focuses on encouraging and nurturing data competencies and making your team members comfortable with the use of analytical tools, technology solutions and data comprehension and presentation, including a comfort level with data collection and analysis, data sharing and data-driven business decisions.

Predictive Modeling 67

Predictive Modeling Data-driven Forecasting Visualization 67

CIO Business Intelligence

JULY 24, 2023

It has also developed predictive models to detect trends, make predictions, and simulate results. These fan engagement, competition management, and advanced performance analytics capabilities are part of LaLiga Tech’s offerings. million data points per match.

Broadcasting 90

Broadcasting Recreation/Entertainment Testing Machine Learning 90

CIO Business Intelligence

MAY 26, 2022

Expectedly, advances in artificial intelligence (AI), machine learning (ML), and predictive modeling are giving enterprises – as well as small/medium-sized businesses – a never-before opportunity to automate their recruitment even as they deal with radical changes in workplace practices involving remote and hybrid work.

Advertising 123

Advertising Machine Learning Software Measurement 123

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.” Data architecture coherence. more machine learning use casesacross the company.

Machine Learning 107

Machine Learning Data Architecture Uncertainty Data-driven 107

FineReport

APRIL 21, 2024

Additionally, there is a growing demand for advanced analytics and data visualization tools to make data-driven decisions. By embracing SaaS BI tools , businesses can unlock enhanced scalability, faster implementation, and robust security measures while empowering users with self-service analytics capabilities.

Business Intelligence 52

Business Intelligence Visualization Dashboards Data-driven 52

CIO Business Intelligence

MAY 28, 2022

Expectedly, advances in artificial intelligence (AI), machine learning (ML), and predictive modeling are giving enterprises – as well as small/medium-sized businesses – a never-before opportunity to automate their recruitment even as they deal with radical changes in workplace practices involving remote and hybrid work.

Advertising 115

Advertising Machine Learning Software Measurement 115

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.

Cost-Benefit 86

Cost-Benefit Measurement Management Predictive Analytics 86

Paul Blogs on BI

MARCH 25, 2020

We are really missing data and so the metrics are incomplete and, as such, we should ask ourselves the question: “Are we measuring the right things?”. Some universities and institutions have built out predictive models based on this data which are even more likely to be erroneous. Stay healthy.

Business Intelligence 51

Business Intelligence Measurement Metrics Cost-Benefit 51

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. This data will be used to train the model that can predict how many flights a given engine has until failure.

Machine Learning 98

Machine Learning Modeling Cost-Benefit Testing 98

Smart Data Collective

APRIL 21, 2022

Measuring the total power output of the farm is not the only issue. Since there is enough historical data, the energy companies can apply analytical and predictive models to calculate power generation rates under certain weather conditions. This explains the growing number of solar companies turning to big data.

IoT 102

IoT Internet of Things Forecasting Predictive Modeling 102

Business Over Broadway

SEPTEMBER 27, 2018

In this paper, I show you how marketers can improve their customer retention efforts by 1) integrating disparate data silos and 2) employing machine learning predictive analytics. Your marketing strategy is only as good as your ability to deliver measurable results. Machine Learning and Predictive Modeling of Customer Churn.

Machine Learning 76

Machine Learning Data Integration Marketing Predictive Modeling 76

FineReport

APRIL 9, 2024

Furthermore, maintaining data security and compliance requires continuous vigilance and proactive measures to safeguard against potential vulnerabilities. By integrating advanced analytics solutions, healthcare organizations can elevate their capacity for data-driven decision-making.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

Smart Data Collective

JULY 10, 2019

However, collecting new data is becoming easier, as patient monitoring equipment provides more than 1,000 measurements per second. It is estimated that the number of measurements will rise to 10,000 per second in the near future. The market for big data analytics in healthcare is massive. Most of this data is still unprocessed.

Big Data 73

Big Data Measurement Predictive Modeling Manufacturing 73

Sisense

SEPTEMBER 9, 2019

Mark’s team is constantly adapting to and meeting the challenges of a rapidly evolving business using cloud technologies, real-time analytics, data warehousing, and virtualization. Predicting Return Rates On New Products. Then we ran Kraken’s machine learning and predictive modeling engine to get the results.

Predictive Analytics 75

Predictive Analytics Predictive Modeling Forecasting Data-driven 75

John Wheeler

OCTOBER 20, 2020

Risk Quantification and Analytics. banking, insurance and securities) measure risk on a quantitative basis. Other quantitative analysis methods are used to develop more precise predictive models to determine the potential for digital risk events, such as product/service liability, fraud or theft. Incident Management.

Risk Management 52

Risk Management Risk Predictive Modeling Insurance 52

Domino Data Lab

OCTOBER 7, 2020

The Curse of Dimensionality , or Large P, Small N, ((P >> N)) , problem applies to the latter case of lots of variables measured on a relatively few number of samples. Statistics developed in the last century are based on probability models (distributions). The accuracy of any predictive model approaches 100%.

Statistics 145

Statistics Testing Predictive Modeling Modeling 145

Smarten

JUNE 29, 2018

Correlation is a statistical measure that indicates the extent to which two variables fluctuate together A positive correlation indicates the extent to which those variables increase or decrease in parallel. The Spearman’s Rank Correlation is a measure of correlation between two ranked (ordered) variables. About Smarten.

Business Analysis 40

Business Analysis IT Measurement Statistics 40

Smarten

JUNE 29, 2018

What is the Karl Pearson Correlation Analytical Technique? Correlation is a statistical measure that indicates the extent to which two variables fluctuate together. The Karl Pearson’s correlation measures the degree of linear relationship between two variables. must be converted to numeric ranking, i.e., 1,2,3,4,5.

Enterprise 40

Enterprise IT Statistics Business Intelligence 40

Smarten

JUNE 29, 2018

This article describes the analytical technique of multiple linear regression. Business Problem: An ecommerce company wants to measure the impact of product price, product promotions, and holiday seasonality on product sales. What is Multiple Linear Regression Analysis? Use Case – 1. The dependent variable is crop production.

Business Analysis 40

Business Analysis IT Sales Statistics 40

DataRobot Blog

AUGUST 10, 2022

As Integrated Care Systems (ICSs) in England officially launch, we take a look at the key opportunities presented to ICS regions to harness cutting-edge modern and integrated analytical frameworks to accelerate the attainment of operating efficiencies, the modernisation of care pathways, and the improvement of patient outcomes.

Forecasting 52

Forecasting Experimentation Data-driven Risk 52

DataRobot Blog

JUNE 23, 2022

Most successful ML and AI projects are replacing an existing prediction with a more accurate and/or faster one. Human intuition is relied on, or an older, hand-build BI/predictive model exists, or perhaps a set of heuristics were documented that more or less predict something.

Predictive Modeling 59

Predictive Modeling Modeling Data Science Measurement 59

O'Reilly on Data

JUNE 18, 2019

There has been a significant increase in our ability to build complex AI models for predictions, classifications, and various analytics tasks, and there’s an abundance of (fairly easy-to-use) tools that allow data scientists and analysts to provision complex models within days.

Machine Learning 259

Machine Learning Data Quality Statistics Modeling 259

Smarten

JUNE 29, 2018

For example, one might consider two groups of participants that are measured at two different “time points” or two groups that are subjected to two different “conditions” Paired T Test is used to evaluate the before and after of a situation, treatment, condition, etc. is the same in two related groups. About Smarten.

Business Analysis 40

Business Analysis Testing Statistics Advertising 40

Decision Management Solutions

NOVEMBER 13, 2018

80% of data and analytics leaders with global life insurance and property & casualty carriers surveyed by McKinsey reported that their analytics investments are not delivering high impact. 38% of those surveyed cited a failure to integrate analytics into workflows and frontline systems. Begin with decisions, not with data.

Insurance 40

Insurance Analytics Modeling Visualization 40

Rocket-Powered Data Science

JULY 13, 2023

Beyond the early days of data collection, where data was acquired primarily to measure what had happened (descriptive) or why something is happening (diagnostic), data collection now drives predictive models (forecasting the future) and prescriptive models (optimizing for “a better future”).

Analytics 166

Analytics Machine Learning Data Science Deep Learning 166