Smarten

MAY 20, 2019

The importance of data analysis cannot be overstated, but if the enterprise does not choose the right data analysis tool, it will not achieve its potential and it is likely to frustrate the business users who are now expected to participate in the analytical process.

Predictive Analytics 65

Predictive Analytics Data Science Analytics Visualization 65

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

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

CIO Business Intelligence

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems. In business analytics, this is the purview of business intelligence (BI).

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

datapine

JANUARY 31, 2022

The main use of business intelligence is to help business units, managers, top executives, and other operational workers make better-informed decisions backed up with accurate data. It will ultimately help them spot new business opportunities, cut costs, or identify inefficient processes that need reengineering.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

datapine

MAY 16, 2019

While there’s no quickfire solution or definitive answer to this question, we can say that investing in data-driven solutions, reporting tools , and leveraging the power of restaurant analytics will help you succeed in this most cutthroat of industries. What Are Restaurant Analytics? Why Are Restaurant Analytics Important?

Analytics 163

Analytics Predictive Analytics Advertising Dashboards 163

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

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 132

Business Intelligence Predictive Analytics Data Collection Internet of Things 132

datapine

NOVEMBER 11, 2021

For a few years now, Business Intelligence (BI) has helped companies to collect, analyze, monitor, and present their data in an efficient way to extract actionable insights that will ensure sustainable growth. billion , paired with the fact that 33% of large-sized businesses will practice decision intelligence by 2023. 1) Connect.

Business Intelligence 213

Business Intelligence Dashboards Interactive Visualization 213

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 306

Machine Learning Analytics Sales Predictive Analytics 306

Smarten

SEPTEMBER 14, 2018

You can’t get a business loan, join with a business partner, successfully bid on a project, open a new location, hire the right employees or plan for the future without predictive analytics. And, with Assisted Predictive Modeling , you can make these tasks even easier.

Predictive Modeling 40

Predictive Modeling Business Analytics Modeling Analytics 40

Smarten

JUNE 27, 2018

the organization can predict the likelihood of an employee submitting fraudulent expenses. How Can SVM Classification Analysis Benefit Business Analytics? Let’s examine two business use cases where SVM Classification can benefit the organization. Use Case – 1.

Business Analytics 40

Business Analytics Analytics IT Business Intelligence 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 133

Analytics Data mining Analytics Technologies Sales 133

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 69

Analytics IT Business Intelligence Predictive Modeling 69

Jet Global

JULY 11, 2019

With major advances being made in artificial intelligence and machine learning, businesses are investing heavily in advanced analytics to get ahead of the competition and increase their bottom line. We’ll explain what it is, how it works, and ways to start using demand forecasting with business intelligence software.

Business Intelligence 72

Business Intelligence Forecasting Predictive Analytics Data Warehouse 72

datapine

JANUARY 6, 2022

Data analysis and interpretation have now taken center stage with the advent of the digital age… and the sheer amount of data can be frightening. In fact, a Digital Universe study found that the total data supply in 2012 was 2.8 trillion gigabytes! The importance of data interpretation is evident and this is why it needs to be done properly.

Visualization 246

Visualization Dashboards Cost-Benefit Measurement 246

CIO Business Intelligence

APRIL 15, 2022

But like oil, data and analytics have their dark side. According to CIO’s State of the CIO 2022 report, 35% of IT leaders say that data and business analytics will drive the most IT investment at their organization this year. And 20% of IT leaders say machine learning/artificial intelligence will drive the most IT investment.

Analytics 145

Analytics Machine Learning Insurance Testing 145

BizAcuity

AUGUST 26, 2019

The casino business is one that is booming quickly. It has not only tripled in size in recent years but sources predict that it is about to rise to new heights in the coming years. The need for prescriptive analytics. Benefits of prescriptive analytics. Image source: [link].

Prescriptive Analytics 74

Prescriptive Analytics Analytics Descriptive Analytics Predictive Analytics 74

datapine

FEBRUARY 17, 2023

Like this, companies of all sizes and industries can enhance their analytical efforts by providing a centralized and fully customizable experience to employees across all levels of the business or to any clients or external stakeholders. What Is White Label Business Intelligence?

Analytics 191

Analytics Cost-Benefit Dashboards Business Intelligence 191

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

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 76

Data Science Data Analytics Prescriptive Analytics Analytics 76

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 Statistics 40

Smart Data Collective

JUNE 8, 2023

The Sports Analytics Market is expected to be worth over $22 billion by 2030. Data analytics can impact the sports industry and a number of different ways. Artificial intelligence and machine learning algorithms will play a more significant role in interpreting complex data sets, providing deeper insights and predictive analytics.

Data Analytics 105

Data Analytics Analytics Data Collection Statistics 105

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

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? p: to apply autoregressive model on series. About Smarten.

Forecasting 40

Forecasting Enterprise IT Sales 40

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

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

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 89

Data Warehouse Experimentation Cost-Benefit Dashboards 89

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 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. What is Multiple Linear Regression Analysis?

Business Analysis 40

Business Analysis IT Sales 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 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 Predictive Analytics 81

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 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. What is the Multinomial-Logistic Regression Classification Algorithm?

IT 40

IT Business Intelligence Predictive Modeling Statistics 40