Smart Data Collective

OCTOBER 31, 2021

Analytics technology is incredibly important in almost every facet of business. Virtually every industry has found some ways to utilize analytics technology, but some are relying on it more than others. The e-commerce sector is among those that has relied most heavily on analytics technology.

Analytics 109

Analytics Data mining Analytics Technologies Sales 109

Smarten

JUNE 27, 2018

This article provides a brief explanation of the SVM Classification method of analytics. Model with prediction accuracy >= 70% is useful. Medical Diagnosis – Given a list of symptoms, a doctor can predict if a patient has a particular disease. How Can SVM Classification Analysis Benefit Business Analytics?

Business Analytics 40

Business Analytics Analytics IT Business Intelligence 40

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

Smarten

JUNE 17, 2022

Smarten announces the recent certification of its Smarten Augmented Analytics Software product by CERT-IN. Contact the Smarten team for more information on Smarten Augmented Analytics solution. Original Post : Smarten Augmented Analytics Receives CERT-IN Certification for Its Products and Services! About Smarten.

Analytics 67

Analytics IT Business Intelligence Predictive Modeling 67

FineReport

MARCH 24, 2024

Rapid technological advancements and extensive networking have propelled the evolution of data analytics, fundamentally reshaping decision-making practices across various sectors. Utilizing standard methods, they collect, analyze, and interpret data to provide valuable business information.

Statistics 52

Statistics Data mining Visualization Reporting 52

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.

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

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

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

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

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

JANUARY 6, 2022

Data interpretation refers to the process of using diverse analytical methods to review data and arrive at relevant conclusions. More often than not, it involves the use of statistical modeling such as standard deviation, mean and median. Standard deviation: this is another statistical term commonly appearing in quantitative analysis.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

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

Rita Sallam

JULY 22, 2016

And here we are now, past the tipping point of a more than 10 to 11 year transition away from IT-centric reporting platforms to modern BI and analytics platforms that make up much of the new buying in the BI and Analytics market. A modern BI platform supports IT-enabled analytic content development.

Analytics 40

Analytics Business Intelligence Metadata 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

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

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

SEPTEMBER 15, 2017

Every enterprise is talking about Business Intelligence and Advanced Analytics. Every enterprise has considered the benefits of implementing self-serve analytics across the organization and involving business users in the process. Don’t become a failure statistic! Requirements Planning for Data Analytics.

Analytics 40

Analytics Statistics Data Governance Cost-Benefit 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

datapine

MAY 16, 2019

Exclusive Bonus Content: Ready to use data analytics in your restaurant? In a previous study into big data examples in real life, we explored how the catering industry could benefit from the use of restaurants analytics – a topic that we’re going to delve deeper into here. A sobering statistic if ever we saw one.

Analytics 163

Analytics Predictive Analytics Advertising Dashboards 163

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

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. With that in mind, we have prepared a list of the top 19 definitive data analytics and big data books, along with magazines and authentic readers’ reviews upvoted by the Goodreads community.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Grooper

AUGUST 19, 2019

Choosing the right analytics solution isn't easy. Successfully navigating the 20,000+ analytics and business intelligence solutions on the market requires a special approach. Read on to learn how data literacy, information as a second language, and insight-driven analytics take digital strategy to a new level.

Analytics 54

Analytics Machine Learning Data-driven Data Science 54

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.” Those workflows would feedback into your business analytics.

Data Science 109

Data Science Machine Learning Data Governance Modeling 109