Smart Data Collective

NOVEMBER 18, 2020

The Bureau of Labor Statistics estimates that the number of data scientists will increase from 32,700 to 37,700 between 2019 and 2029. Previously, such problems were dealt with by specialists in mathematics and statistics. Statistics, mathematics, linear algebra. Where to Use Data Science? Where to Use Data Mining?

Data mining 142

Data mining Data Science Informatics Statistics 142

FineReport

MARCH 24, 2024

This article explores the data analyst job description, covering essential skills, tools, education, certifications, and experience. 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 52

Statistics Data mining Visualization Reporting 52

IBM Big Data Hub

JULY 6, 2023

Areas making up the data science field include mining, statistics, data analytics, data modeling, machine learning modeling and programming. Ultimately, data science is used in defining new business problems that machine learning techniques and statistical analysis can then help solve.

Machine Learning 60

Machine Learning Data Science Statistics Deep Learning 60

Rocket-Powered Data Science

JULY 7, 2019

Analytics: The products of Machine Learning and Data Science (such as predictive analytics, health analytics, cyber analytics). Algorithm: A set of rules to follow to solve a problem or to decide on a particular action (e.g., They provide more like an FAQ (Frequently Asked Questions) type of an interaction.

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

Business Over Broadway

MARCH 13, 2019

Next, we can explore our data by calculating some descriptive statistics for our measures. Simply add the Statistics Node to the window and connect it to the Auto Data Prep Node. To view the statistics, click on the Statistics Node and hit run. The level of satisfaction is indexed by a summary statistic.

Statistics 78

Statistics Measurement Descriptive Analytics Machine Learning 78

Smart Data Collective

DECEMBER 21, 2022

The Bureau of Labor Statistics estimates that there are nearly 106,000 employed data scientists in the United States. In this article, we take a look at IT and cyber security jobs that data scientists can do from home. You can use big data to improve risk scoring models and use real-time analytics to stop threats.

IT 109

IT Big Data Data Science Data-driven 109

datapine

JANUARY 6, 2022

For a more in-depth review of scales of measurement, read our article on data analysis questions. More often than not, it involves the use of statistical modeling such as standard deviation, mean and median. Let’s quickly review the most common statistical terms: Mean: a mean represents a numerical average for a set of responses.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

Smarten

JUNE 29, 2018

This article focuses on the Independent Samples T Test technique of Hypothesis testing. The independent sample t-test is a statistical method of hypothesis testing that determines whether there is a statistically significant difference between the means of two independent samples. About Smarten.

Testing 40

Testing Statistics IT Business Intelligence 40

Rocket-Powered Data Science

MARCH 10, 2020

Ahh, that’s the topic for another article. Chapter 1 provides a beautiful introduction to graphs, graph analytics algorithms, network science, and graph analytics use cases. Incorporating context into the graph (as nodes and as edges) can thus yield impressive predictive analytics and prescriptive analytics capabilities.

Metadata 250

Metadata Machine Learning ROI Prescriptive Analytics 250

Smart Data Collective

AUGUST 21, 2019

Millman has introduced some articles on the benefits of big data in the retirement industry. Wade Matterson wrote an article on LinkedIn on the value of big data for solving the retirement riddle. As per the Bureau of Labor Statistics (BSL), in America 2 out of 5 households depends on their pension as a major source of income.

Big Data 77

Big Data Cost-Benefit Insurance Data-driven 77

IBM Big Data Hub

AUGUST 7, 2023

This article, part of the IBM and Pfizer’s series on the application of AI techniques to improve clinical trial performance, focuses on enrollment and real-time forecasting. AI can also empower trial managers and executives with the data to make strategic decisions.

Optimization 60

Optimization Forecasting Data-driven Strategy 60

Smarten

JUNE 20, 2018

In this article, we will focus on the identification and exploration of data patterns and the trends that data reveals. In prediction, the objective is to “model” all the components to some trend patterns to the point that the only component that remains unexplained is the random component. Stationary/Stationarity. Cyclical Patterns.

Forecasting 40

Forecasting Statistics Business Intelligence Predictive Modeling 40

Smarten

JUNE 29, 2018

This article explains the Karl Pearson Correlation method of analysis, and how it can be applied in business. What is the Karl Pearson Correlation Analytical Technique? Correlation is a statistical measure that indicates the extent to which two variables fluctuate together.

Enterprise 40

Enterprise IT Statistics Business Intelligence 40

Smarten

JUNE 29, 2018

This article describes the Simple Linear Regression method of analysis. Simple Linear Regression is a statistical technique that attempts to explore the relationship between one independent variable (X) and one dependent variable (Y). What is Simple Linear Regression?

Enterprise 40

Enterprise Sales Statistics Business Intelligence 40

Smarten

JUNE 29, 2018

This article discusses the Paired Sample T Test method of hypothesis testing and analysis. At 95% confidence level (5% chance of error): As p-value = 0.041 which is less than 0.05, there is a statistically significant difference between means of pre and post sample values. What is the Paired Sample T Test?

Business Analysis 40

Business Analysis Testing Statistics Advertising 40

Smarten

JUNE 26, 2018

This article describes chi square test of association and hypothesis testing. It is used to determine whether there is a statistically significant association between the two categorical variables. What is the Chi Square Test of Association Method of Hypothesis Testing?

Testing 40

Testing Statistics IT Business Intelligence 40

Smarten

JUNE 29, 2018

This article describes the analytical technique of multiple linear regression. Multiple Linear Regression is a statistical technique that is designed to explore the relationship between two or more variables (X, and Y). What is Multiple Linear Regression Analysis?

Business Analysis 40

Business Analysis IT Sales Statistics 40

Smarten

JUNE 29, 2018

This article looks at the ARIMAX Forecasting method of analysis and how it can be used for business analysis. For more information about data trend and pattern analysis techniques, read our article entitled, ‘ What Are Data Trends and Patterns, and How Do They Impact Business Decisions?’ What is ARIMAX Forecasting?

Forecasting 40

Forecasting Enterprise IT Business Intelligence 40

Smarten

JUNE 29, 2018

This article describes the Spearman’s Rank Correlation and how it is used for enterprise analysis. 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.

Business Analysis 40

Business Analysis IT Measurement Statistics 40

Smarten

JUNE 26, 2018

This article provides a brief explanation of the ARIMA method of analytical forecasting. Autoregressive Integrated Moving Average (ARIMA) predicts future values of a time series using a linear combination of its past values and a series of errors. What is ARIMA Forecasting?

Forecasting 40

Forecasting Enterprise IT Sales 40

Smarten

JUNE 29, 2018

This article discusses the analytical technique known as Sampling and provides a brief explanation of two types of sampling analysis, and how each of these methods is applied. What is Sampling Analysis? A random sample from each of these subgroups is taken in proportion to the subgroup size relative to the population size.

Analytics 40

Analytics Statistics Business Intelligence Predictive Modeling 40

Domino Data Lab

JULY 28, 2021

Data science is a field at the convergence of statistics, computer science and business. In this article, take a deep dive into data science and how Domino’s Enterprise MLOps platform allows you to scale data science in your business. What is Data Science and How is it Used? What are Data Scientists?

Data Science 45

Data Science Machine Learning Statistics Deep Learning 45

Occam's Razor

AUGUST 22, 2011

" ~ Digital Analytics: "Am I thinking right? " + Strategic Analysis Articles. Tactical Analysis Articles. Blogging Experience Articles. + Book Articles. Misc Articles. In each section the listing is from the latest article to the earliest. Accuracy, Precision & Predictive Analytics.

KPI 124

KPI Metrics Measurement ROI 124

Smart Data Collective

AUGUST 8, 2019

Unfortunately, predictive analytics and machine learning technology is a double-edged sword for cybersecurity. Jathan Sadowski wrote an article in The Guardian a couple years ago on the intersection between big data and cybersecurity. Big data is the lynchpin of new advances in cybersecurity.

Big Data 84

Big Data Data Processing Machine Learning Predictive Analytics 84

Smarten

JUNE 28, 2018

This article discusses the analytical method of Hierarchical Clustering and how it can be used within an organization for analytical purposes. All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists.

IT 40

IT Business Intelligence Predictive Modeling Risk 40

Smarten

JUNE 27, 2018

This article presents a brief explanation of Outliers, and how this type of analysis is used. All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists. What is Outlier Analysis?

IT 40

IT Business Intelligence Predictive Modeling Testing 40

Smarten

JUNE 29, 2018

In this article, we will discuss the Binary Logistic Regression Classification method of analysis, and how it can be used in business. All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists.

IT 40

IT Business Intelligence Predictive Modeling Statistics 40

Smarten

JUNE 26, 2018

This article provides a brief definition of the multinomial-logistic regression classification algorithm and its uses and benefits. All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists.

IT 40

IT Business Intelligence Predictive Modeling Statistics 40

Smarten

JUNE 25, 2018

This article provides a brief explanation of the KMeans Clustering algorithm. Smarten Augmented Analytics tools include plug n’ play predictive analytics , assisted predictive modeling , smart data visualization , self-serve data preparation and clickless analytics for search analytics with natural language processing (NLP).

Enterprise 40

Enterprise IT Business Intelligence Predictive Modeling 40

Smarten

JUNE 27, 2018

This article provides a brief explanation of the SVM Classification method of analytics. All of these tools are designed for business users with average skills and require no special skills or knowledge of statistical analysis or support from IT or data scientists. What is SVM Classification Analysis?

Business Analytics 40

Business Analytics Analytics IT Business Intelligence 40

Cloudera

MARCH 2, 2018

If you do an internet search for ‘data-driven disruption’ you can find articles about almost every industry being disrupted by digitalisation and new applications of data. Gain improved intelligence on operating context and needs through expanded use of descriptive analytics techniques.

Data-driven 42

Data-driven Prescriptive Analytics Descriptive Analytics Machine Learning 42

Smarten

JUNE 29, 2018

In this article, we will discuss the KNN Classification method of analysis. Smarten Augmented Analytics tools include plug n’ play predictive analytics , assisted predictive modeling , smart data visualization , self-serve data preparation and clickless analytics for search analytics with natural language processing (NLP).

Enterprise 40

Enterprise Business Intelligence Predictive Modeling Statistics 40

Smarten

JUNE 29, 2018

This article will focus on the Naïve Bayes Classification method of analysis. Smarten Augmented Analytics tools include plug n’ play predictive analytics , assisted predictive modeling , smart data visualization , self-serve data preparation and clickless analytics for search analytics with natural language processing (NLP).

Enterprise 40

Enterprise IT Business Intelligence Forecasting 40

Smarten

JUNE 27, 2018

In this article, we will discuss the Decision Tree analysis method. Smarten Augmented Analytics tools include plug n’ play predictive analytics , assisted predictive modeling , smart data visualization , self-serve data preparation and clickless analytics for search analytics with natural language processing (NLP).

IT 40

IT Business Intelligence Predictive Modeling Statistics 40

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. Try our professional BI and analytics software for 14 days free! What Do The Experts Say?

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Smarten

SEPTEMBER 15, 2017

Don’t become a failure statistic! Requirements Planning for Data Analytics. Many organizations are so anxious to get into analytics that they fail to consider the depth and breadth of their needs. What kind of statistical data, report capability and security will you need? How will you manage growth?

Analytics 40

Analytics Statistics Data Governance Cost-Benefit 40

Domino Data Lab

JULY 22, 2019

He was saying this doesn’t belong just in statistics. It involved a lot of work with applied math, some depth in statistics and visualization, and also a lot of communication skills. Predictive analytics, yeah, not so much.” Greg Linden ‘s article about splitting the website on Amazon.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109