Sisense

AUGUST 11, 2019

For your business to thrive, you need to know what’s working, what’s not, and how to improve. This is where Business Analytics (BA) and Business Intelligence (BI) come in: both provide methods and tools for handling and making sense of the data at your disposal. What Does “Business Analytics” Mean?

Business Intelligence 75

Business Intelligence Business Analytics Analytics OLAP 75

Smarten

JUNE 27, 2018

To explore this technique further, let’s conduct the SVM classification using the following variables: Here we see a sample output for the actual versus predicted outcome. The prediction accuracy is useful criterion for assessing the model performance. Model with prediction accuracy >= 70% is useful.

Business Analytics 40

Business Analytics Analytics IT Business Intelligence 40

Rocket-Powered Data Science

MARCH 19, 2021

The determination of winners and losers in the data analytics space is a much more dynamic proposition than it ever has been. One of the primary drivers for the phenomenal growth in dynamic real-time data analytics today and in the coming decade is the Internet of Things (IoT) and its sibling the Industrial IoT (IIoT).

Internet of Things 259

Internet of Things Analytics IoT Prescriptive Analytics 259

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

Decision Management Solutions

SEPTEMBER 29, 2020

Eric, if you don’t know, is the founder of Predictive Analytics World, a leading consultant, and author of “ Predictive Analytics “ You can also check out Eric’s new Coursera class. This discussion was prompted by Eric and I talking about the rate of failure in Machine Learning projects.

Machine Learning 94

Machine Learning Predictive Analytics Modeling Consulting 94

IBM Big Data Hub

SEPTEMBER 19, 2023

Though you may encounter the terms “data science” and “data analytics” being used interchangeably in conversations or online, they refer to two distinctly different concepts. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

Data Science 86

Data Science Data Analytics Prescriptive Analytics Analytics 86

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

JUNE 17, 2022

Smarten announces the recent certification of its Smarten Augmented Analytics Software product by CERT-IN. 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.

Analytics 67

Analytics IT Business Intelligence Predictive Modeling 67

datapine

AUGUST 14, 2019

Data science tools are used for drilling down into complex data by extracting, processing, and analyzing structured or unstructured data to effectively generate useful information while combining computer science, statistics, predictive analytics, and deep learning. We begin our list of the top data science tools with R and RStudio.

Data Science 214

Data Science Statistics Business Intelligence Visualization 214

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. ’ The ARIMA model is suggested for short term forecasting. About Smarten.

Forecasting 40

Forecasting Enterprise IT Sales 40

Smart Data Collective

NOVEMBER 25, 2019

New data-collection technologies , like internet of things (IoT) devices, are providing businesses with vast banks of minute-to-minute data unlike anything collected before. These new avenues of data discovery will give business intelligence analysts more data sources than ever before. Predictive Business Analytics.

Business Intelligence 102

Business Intelligence Predictive Analytics Data Collection Internet of Things 102

Smarten

JUNE 29, 2018

This article looks at the ARIMAX Forecasting method of analysis and how it can be used for business analysis. Let’s look at a business use case to illustrate the benefit of the ARIMAX Forecasting method. What is ARIMAX Forecasting? How Can ARIMAX Forecasting Be Used for Enterprise Analysis?

Forecasting 40

Forecasting Enterprise IT Business Intelligence 40

Smarten

NOVEMBER 8, 2022

This self-paced, online Citizen Data Scientist course can help businesses make the most of the Citizen Data Scientist experience by providing foundational training for business users who are Citizen Data Scientist candidate. 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

Cloudera

OCTOBER 4, 2023

This real-time data, when captured and analyzed in a timely manner, may deliver tremendous business value. Fast moving data and real time analysis present us with some amazing opportunities. Don’t blink — or you’ll miss it!

Data Warehouse 90

Data Warehouse Experimentation Cost-Benefit Dashboards 90

Smarten

JUNE 27, 2018

That focus will help the business to select the right method of analysis, graphing or plotting to reveal the results they need to see and understand. 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 Testing 40

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. Price segment for goods.

Analytics 110

Analytics Data mining Analytics Technologies Sales 110

Smarten

JUNE 29, 2018

Multiple linear regression models are useful in helping an enterprise to consider the impact of multiple independent predictors and variables on a dependent variable, and can be beneficial for forecasting and predicting results. What is Multiple Linear Regression Analysis? About Smarten.

Business Analysis 40

Business Analysis IT Sales Statistics 40

FineReport

MARCH 24, 2024

Data Analyst Job Description Data analysts play a crucial role in extracting actionable insights from diverse data sources, aiding businesses in cost reduction and revenue growth. Utilizing standard methods, they collect, analyze, and interpret data to provide valuable business information.

Statistics 52

Statistics Data mining Visualization Reporting 52

Smarten

JUNE 26, 2018

Logistic regression makes use of one or more predictor variables that can be either continuous or categorical and predicts the target variable classes. 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 29, 2018

In this article, we will discuss the Binary Logistic Regression Classification method of analysis, and how it can be used in business. Binary Logistic Regression Classification makes use of one or more predictor variables that may be either continuous or categorical to predict the target variable classes. Use Case – 1.

IT 40

IT Business Intelligence Predictive Modeling Statistics 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. must be converted to numeric ranking, i.e., 1,2,3,4,5.

Enterprise 40

Enterprise IT Statistics Business Intelligence 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

Analytics Vidhya

APRIL 17, 2023

It learns from previously existing data to detect any […] The post Why Businesses Should Use Machine Learning in 2023 appeared first on Analytics Vidhya.

Machine Learning 262

Machine Learning Analytics Sales Predictive Analytics 262

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. What is Spearman’s Rank Correlation?

Business Analysis 40

Business Analysis IT Measurement Statistics 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. an organization can predict if it will be rainy/sunny/windy tomorrow. in diameter. About Smarten.

Enterprise 40

Enterprise IT Business Intelligence Forecasting 40

Smarten

JUNE 25, 2018

This method is used to find groups that have not been explicitly labeled in the data, and it can be used to confirm business assumptions about what types of groups exist, or to identify unknown groups in complex data sets. But there should be much difference between an object in group 1 and group 2. Use Case – 2.

Enterprise 40

Enterprise IT Business Intelligence Predictive Modeling 40

Smarten

JUNE 29, 2018

Here, the dependent variable would be ‘Purchase Amount’ Business Benefit: Once the test is completed, a p-value is generated which indicates whether there is a statistical difference between the purchase amounts of both segments.

Testing 40

Testing Statistics IT Business Intelligence 40

Smarten

JUNE 26, 2018

This technique is used to determine if the relationship exists between any two business parameters that are of categorical data type. 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.

Testing 40

Testing Statistics IT Business Intelligence 40

Sisense

JULY 6, 2020

Sisense recently surveyed 500 companies to understand how they leverage data and analytics usage and the impact on future plans; the results reinforce how critical analytics are to businesses during times of crisis. Analytics are essential in a crisis. It requires the business to elevate the role data plays.

Data-driven 81

Data-driven Uncertainty Reporting Analytics 81

Smarten

APRIL 12, 2023

About Smarten 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.

Snapshot 52

Snapshot Key Performance Indicator KPI Business Intelligence 52

Sisense

JULY 29, 2020

That’s where data and analytics are vital: They can help you make the right decisions to shape your organization’s future, both near- and long-term. Companies say that data and analytics can help them thrive. That’s why analytics has become increasingly essential t o companies in this time of crisis. Change is usually gradual.

Analytics 95

Analytics Digital Transformation Data-driven Sales 95

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

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.

Business Analysis 40

Business Analysis Testing Statistics Advertising 40

Sisense

AUGUST 19, 2020

Big data, analytics, cloud computing, data mining, data science — the buzzwords of the modern data and analytics industry — have taken every business and organization by storm, no matter the scale or nature of the business. These insights have helped improve machine learning models with more precise data.

Big Data 52

Big Data Machine Learning Digital Transformation Marketing 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. So, what does all this mean to your business? Why is augmented analytics an important factor in your success?

Analytics 40

Analytics Cost-Benefit Data Quality Consulting 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. What’s the difference between Business Analytics and Business Intelligence?

Business Intelligence 264

Business Intelligence Analytics Statistics Dashboards 264

Smarten

JUNE 20, 2018

One can identify a seasonality pattern when fluctuations repeat over fixed periods of time and are therefore predictable and where those patterns do not extend beyond a one year period. It usually consists of periodic, repetitive, and generally regular and predictable patterns. Irregular/Random Patterns. Stationary/Stationarity.

Forecasting 40

Forecasting Statistics Business Intelligence Predictive Modeling 40