Smarten

MAY 31, 2022

The technology research firm, Gartner has predicted that, ‘predictive and prescriptive analytics will attract 40% of net new enterprise investment in the overall business intelligence and analytics market.’ It is meant to identify crucial relationships and opportunities and risks and help the organization to accurately predict: Growth.

Predictive Analytics 67

Predictive Analytics Analytics Predictive Modeling Prescriptive Analytics 67

Smarten

JANUARY 27, 2023

In this article, we discuss a few of the components and features your team will need to consider in selecting an augmented analytics solution. Flexible, Personalized Interface and Reporting – Select a solution that is not restrictive.

Analytics 52

Analytics Business Intelligence Predictive Modeling Predictive Analytics 52

Smarten

JUNE 8, 2023

In this article, we will dive into a few of the primary benefits of mobile BI as mentioned above. For more information on Mobile BI and Augmented Analytics, read our article, Mobile BI Solves Real World Problems And Improves ROI And TCO

Optimization 67

Optimization Enterprise Business Intelligence Predictive Modeling 67

Depict Data Studio

SEPTEMBER 17, 2019

In my sixth year of self-employment, the demand for data visualization skills is stronger than ever. This training program is about classic data visualization principles? advanced techniques like applying data visualization principles to reports, slideshows, infographics, and dashboards. What’s Included. We’ll go broad?

Visualization 40

Visualization Consulting Dashboards Reporting 40

Smarten

JUNE 10, 2022

Data Discovery including self-serve data preparation, smart data visualization with charts, graphs and other visualizations for clarity and decisions. Predictive Modeling to support business needs, forecast, and test theories. Assisted Predictive Modeling. Smart Data Visualization. Auto Insights.

Slice and Dice 52

Slice and Dice Analytics Key Performance Indicator Business Intelligence 52

Smarten

NOVEMBER 26, 2023

Solution Suite As we mentioned at the beginning of this article, there are different types of BI tools. For many business intelligence users, BI dashboard tools will be just as important as the more advanced analytical tools like assisted predictive modeling. Results must be displayed with flexible controls.

Business Intelligence 40

Business Intelligence Key Performance Indicator ROI Dashboards 40

Smart Data Collective

SEPTEMBER 17, 2020

Nowadays, terms like ‘Data Analytics,’ ‘Data Visualization,’ and ‘Big Data’ have become quite popular. The value that Big Data brings with it is unrivaled, and, in this article, we will see how this brings forth positive results in the banking and finance world. In this modern age, each business entity is driven by data.

Big Data 140

Big Data Finance Risk Management Risk 140

Smarten

MAY 13, 2022

Offers augmented analytics components including self-serve data prep, smart data visualization and assisted predictive modeling. For more access options and information on desktop and web versions of SmartenApps and the available reports, see our article, entitled, ‘ The Value Of Tally ERP Web-Based Accounting Analytics.’

Analytics 76

Analytics Cost-Benefit Finance Software 76

AWS Big Data

JANUARY 25, 2023

SikSin confronted two business challenges: Customer engagement – SikSin maintains data on more than 750,000 restaurants and has more than 4,000 restaurant articles (and growing). The recommendation records are surfaced using interaction data, product data, and predictive models. This workflow is triggered based on a schedule.

Visualization 75

Visualization Interactive Modeling Machine Learning 75

Smarten

DECEMBER 3, 2023

This article will help you gather information about the topic of augmented analytics. So, you can ask, ‘Who sold the most bakery items in the Southwest region from September through November of 2022,’ and you will receive your results and can visualize your data in a way that makes sense to you and to your team.

Key Performance Indicator 52

Key Performance Indicator Analytics IT Predictive Analytics 52

Domino Data Lab

JULY 28, 2021

In this article, we will provide an overview of the three overlapping components of data science, the importance of communication and collaboration, and how the Domino Data Lab MLOps platform can help improve the speed and efficiency of your team. All models are not made equal.

Data Science 110

Data Science Statistics Recreation/Entertainment Predictive Analytics 110

Sisense

APRIL 10, 2020

It’s quite popular for its visualizations: charts, graphs, pictures, and various plots. These visualizations are useful for helping people visualize and understand trends , outliers, and patterns in data. We’ll actually do this later in this article. Python: Versatile workhorse. R libraries.

Deep Learning 98

Deep Learning Data Science Machine Learning Visualization 98

IBM Big Data Hub

JULY 6, 2023

The fields have evolved such that to work as a data analyst who views, manages and accesses data, you need to know Structured Query Language (SQL) as well as math, statistics, data visualization (to present the results to stakeholders) and data mining. It’s also necessary to understand data cleaning and processing techniques.

Machine Learning 57

Machine Learning Data Science Statistics Deep Learning 57

Smarten

JUNE 21, 2018

This article provides a brief explanation of the Holt-Winters Forecasting model and its application in the business environment. 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.

Forecasting 40

Forecasting Enterprise IT Predictive Modeling 40

Domino Data Lab

AUGUST 1, 2021

In this article we cover explainability for black-box models and show how to use different methods from the Skater framework to provide insights into the inner workings of a simple credit scoring neural network model. Skater provides a wide range of algorithms that can be used for visual interpretation (e.g. Ribeiro, M.

Modeling 139

Modeling Deep Learning Machine Learning Knowledge Discovery 139

O'Reilly on Data

DECEMBER 12, 2019

Because all ML models make mistakes, everyone who cares about ML should also care about model debugging. [1] This article is meant to be a short, relatively technical primer on what model debugging is, what you should know about it, and the basics of how to debug models in practice.

Machine Learning 190

Machine Learning Modeling Testing Risk Management 190

Smarten

JUNE 29, 2018

This article looks at the ARIMAX Forecasting method of analysis and how it can be used for business analysis. An Autoregressive Integrated Moving Average with Explanatory Variable (ARIMAX) model can be viewed as a multiple regression model with one or more autoregressive (AR) terms and/or one or more moving average (MA) terms.

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

Forecasting 40

Forecasting Enterprise IT Sales 40

DataRobot

JUNE 15, 2021

This allows any user, regardless of their technical expertise, to quickly turn a deployed model into a rich AI application without requiring any coding. This means that any predictive model can become an AI app in minutes, putting the power of DataRobot directly in the hands of your front line decision-makers.

Optimization 52

Optimization Predictive Modeling Metadata Modeling 52

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 20, 2018

In this article, we will focus on the identification and exploration of data patterns and the trends that data reveals. In this article, we have reviewed and explained the types of trend and pattern analysis. The business can use this information for forecasting and planning, and to test theories and strategies. 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. 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 Sales 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. What is Hierarchical Clustering?

IT 40

IT Business Intelligence Predictive Modeling Risk 40

Smarten

JUNE 29, 2018

This article describes the analytical technique of multiple linear regression. 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).

Business Analysis 40

Business Analysis IT Sales Statistics 40

Smarten

JUNE 27, 2018

This article presents a brief explanation of Outliers, and how this type of analysis is used. What is Outlier Analysis? An outlier is an element of a data set that distinctly stands out from the rest of the data. In other words, outliers are those data points that lie outside the overall pattern of distribution as shown in figure below.

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. What is Binary Logistic Regression Classification? Logistic regression measures the relationship between the categorical target variable and one or more independent variables.

IT 40

IT Business Intelligence Predictive Modeling Statistics 40

Smarten

JUNE 29, 2018

This article describes the Spearman’s Rank Correlation and how it is used for enterprise analysis. What is Spearman’s Rank Correlation? 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 Measurement Statistics 40

Smarten

JUNE 26, 2018

This article provides a brief definition of the multinomial-logistic regression classification algorithm and its uses and benefits. What is the Multinomial-Logistic Regression Classification Algorithm?

IT 40

IT Business Intelligence Predictive Modeling Statistics 40

Smarten

JUNE 26, 2018

This article provides a brief explanation of the FP Growth technique of Frequent Pattern Mining. What is the FP Growth Algorithm? 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.

Business Intelligence 40

Business Intelligence Sales Predictive Modeling Statistics 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?

Analytics 40

Analytics Statistics Business Intelligence Predictive Modeling 40

Smarten

JUNE 29, 2018

This article focuses on the Independent Samples T Test technique of Hypothesis testing. What is the Independent Samples T Test Method of Hypothesis Testing? For example, one might use this method of analysis to determine whether the average value of a sedan type of car is significantly different from an SUV type of car.

Testing 40

Testing Statistics IT Business Intelligence 40

Smarten

JUNE 27, 2018

This article provides a brief explanation of the SVM Classification method of analytics. What is SVM Classification Analysis? SVM Classifications are based on the idea of finding a hyper plane that best divides a dataset into predefined classes, as shown in the image below.

Business Analytics 40

Business Analytics Analytics IT Business Intelligence 40

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 26, 2018

This article describes chi square test of association and hypothesis testing. 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).

Testing 40

Testing Statistics IT Business Intelligence 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