datapine

AUGUST 14, 2019

To fully leverage the power of data science, scientists often need to obtain skills in databases, statistical programming tools, and data visualizations. Thanks to modern data analysis tools , today the costs are decreased since all the data is stored on a cloud and speeds up the process to make better business decisions.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

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 8, 2022

Smarten CEO, Kartik Patel says, ‘This comprehensive, free online course is designed to support businesses and individuals who wish to pursue, or are interested in finding out more about, the Citizen Data Scientist journey. It is intended for business and technology users and team members within the business environment. “By

Business Intelligence 52

Business Intelligence Predictive Modeling Statistics Data-driven 52

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. About Smarten.

Analytics 40

Analytics Statistics Business Intelligence Predictive Modeling 40

Smarten

OCTOBER 25, 2017

As the concept of business analytics becomes more main stream and business users embrace the possibilities, they (and their managers) want and expect even more tools and more potential. Advanced Data Discovery allows business users to quickly and easily prepare and analyze data and visualize and explore data.

Predictive Modeling 63

Predictive Modeling Statistics Visualization Business Analytics 63

Smarten

JUNE 29, 2018

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. This article focuses on the Independent Samples T Test technique of Hypothesis testing. About Smarten.

Testing 40

Testing Statistics IT Business Intelligence 40

datapine

MARCH 25, 2022

1) What Is Business Intelligence And Analytics? 4) How Do BI And BA Apply To Business? If someone puts you on the spot, could you tell him/her what the difference between business intelligence and analytics is? We already saw earlier this year the benefits of Business Intelligence and Business Analytics.

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

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. 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

Simple Linear Regression is a statistical technique that attempts to explore the relationship between one independent variable (X) and one dependent variable (Y). This method helps a business to identify the relationship between X and Y and the nature and direction of that relationship. What is Simple Linear Regression?

Enterprise 40

Enterprise Sales Statistics 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 26, 2018

It is used to determine whether there is a statistically significant association between the two categorical variables. This technique is used to determine if the relationship exists between any two business parameters that are of categorical data type. This analytical technique can be used for numerous purposes.

Testing 40

Testing Statistics IT Business Intelligence 40

Smarten

JUNE 29, 2018

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. Business Problem: A grocery store sales manager wants to know whether daily sales have increased after an advertising campaign.

Business Analysis 40

Business Analysis Testing Statistics Advertising 40

Smarten

JUNE 20, 2018

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. A stationary time series is one with statistical properties such as mean, where variances are all constant over time. Stationary/Stationarity. About Smarten.

Forecasting 40

Forecasting Statistics Business Intelligence Predictive Modeling 40

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

Business Analysis 40

Business Analysis IT Measurement Statistics 40

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 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

The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.

Forecasting 40

Forecasting Enterprise IT Business Intelligence 40

Smarten

JUNE 27, 2018

The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.

IT 40

IT Business Intelligence Predictive Modeling Testing 40

Smarten

JUNE 29, 2018

The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.

IT 40

IT Business Intelligence Predictive Modeling Statistics 40

Smarten

JUNE 26, 2018

The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.

IT 40

IT Business Intelligence Predictive Modeling Statistics 40

Smarten

JUNE 25, 2018

The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.

Enterprise 40

Enterprise IT Business Intelligence Predictive Modeling 40

Smarten

JUNE 29, 2018

The Naive Bayes classifier assumes that every feature/predictor is independent, which is not always the case, so it is important to understand the type of data you are analyzing before choosing this, or any other, analytical technique.

Enterprise 40

Enterprise IT Business Intelligence Forecasting 40

Smarten

JUNE 29, 2018

The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.

Enterprise 40

Enterprise Business Intelligence Predictive Modeling Statistics 40

Smarten

JUNE 27, 2018

The Smarten approach to business intelligence and business analytics focuses on the business user and provides Advanced Data Discovery so users can perform early prototyping and test hypotheses without the skills of a data scientist.

IT 40

IT Business Intelligence Predictive Modeling Statistics 40

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. Simply create the predictive model, using your favorite platform, export the model as a PMML file and import that model to Smarten.

Predictive Modeling 52

Predictive Modeling Analytics Predictive Analytics Business Intelligence 52

Rocket-Powered Data Science

OCTOBER 6, 2023

Decades (at least) of business analytics writings have focused on the power, perspicacity, value, and validity in deploying predictive and prescriptive analytics for business forecasting and optimization, respectively. What is the point of those obvious statistical inferences? How does that work in practice?

Business Analytics 157

Business Analytics Prescriptive Analytics Analytics Diagnostic Analytics 157

Smarten

JULY 10, 2018

This article summarizes our recent article series on the definition, meaning and use of the various algorithms and analytical methods and techniques used in predictive analytics for business users, and in augmented data preparation and augmented data discovery tools. Use Case(s): Average value of all cars in U.S.

Analytics 40

Analytics Forecasting Statistics Sales 40

Cloudera

NOVEMBER 2, 2020

The capabilities that more and more customers are asking for are: Analytics on live data AND recent data AND historical data. An AdTech company in the US provides processing, payment, and analytics services for digital advertisers. Data processing and analytics drive their entire business. 200,000 queries per day.

Data Warehouse 90

Data Warehouse Optimization Dashboards Interactive 90

Smarten

JUNE 26, 2018

Frequent pattern mining (previously known as Association) is an analytical algorithm that is used by businesses and, is accessible in some self-serve business intelligence solutions. This article provides a brief explanation of the FP Growth technique of Frequent Pattern Mining. What is the FP Growth Algorithm? About Smarten.

Business Intelligence 40

Business Intelligence Sales Predictive Modeling Statistics 40

Smarten

JUNE 29, 2018

In this article, we discuss the analytical method known as frequent pattern mining, previously known as ‘association’ What is Frequent Pattern Mining? 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.

Business Analysis 40

Business Analysis IT Business Intelligence Sales 40

Smarten

JULY 26, 2022

Smarten is pleased to announce the launch of its Mobile Application for Smarten Augmented Analytics. Smarten CEO, Kartik Patel says, “The availability of Smarten augmented analytics on a mobile device encourages user adoption and provides support for business intelligence investments and data democratization.”

Key Performance Indicator 74

Key Performance Indicator Analytics Business Intelligence Dashboards 74

Smarten

JUNE 25, 2018

This article provides a brief explanation of the definition and uses of the Descriptive Statistics algorithms. What is a Descriptive Statistics? Descriptive statistics helps users to describe and understand the features of a specific dataset, by providing short summaries and a graphic depiction of the measured data.

Statistics 40

Statistics Enterprise Measurement Business Intelligence 40

Smarten

APRIL 19, 2022

Smarten is pleased to announce the addition of Sentiment Analysis features and functionality to its innovative, augmented analytics solution. This sophisticated analytical technique goes beyond quantitative questionnaires and surveys to capture the real opinions, feelings and sentiments of consumers, employees, and other stakeholders.

Slice and Dice 57

Slice and Dice Business Intelligence Advertising Predictive Modeling 57

datapine

NOVEMBER 27, 2019

Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. Suddenly advanced analytics wasn’t just for the analysts. 2019 was a particularly major year for the business intelligence industry.

Business Intelligence 361

Business Intelligence Analytics Prescriptive Analytics Data Quality 361

Smarten

JUNE 21, 2018

Time series forecasting methods are used to extract and analyze data and statistics and characterize results to more accurately predict the future based on historical data. Tools such as Smarten Plug n’ Play predictive analysis provide assisted predictive modeling capabilities. About Smarten.

Forecasting 40

Forecasting Enterprise IT Predictive Modeling 40