ElegantJ BI

OCTOBER 18, 2018

This article will focus on the Naïve Bayes Classification method of analysis. What is Naïve Bayes Classification? Naive Bayes is a classification algorithm that is suitable for binary and multiclass classification. In supervised classification, training data are already labeled with a class. in diameter.

Banking 130

Banking Data Discovery Business Intelligence Business Intelligence 130

ElegantJ BI

JUNE 10, 2022

Why You Need Both BI Tools and Augmented Analytics and What to Consider When Selecting a Vendor According to a West Monroe Partners’ survey, 68% of business and technology leaders surveyed don’t believe their competitors are leveraging data successfully. Predictive Modeling to support business needs, forecast, and test theories.

Business Intelligence 130

Business Intelligence Business Intelligence Data Discovery Visualization 130

ElegantJ BI

JUNE 10, 2022

Why You Need Both BI Tools and Augmented Analytics and What to Consider When Selecting a Vendor According to a West Monroe Partners’ survey, 68% of business and technology leaders surveyed don’t believe their competitors are leveraging data successfully. Predictive Modeling to support business needs, forecast, and test theories.

Business Intelligence 130

Business Intelligence Business Intelligence Data Discovery Visualization 130

ElegantJ BI

JUNE 10, 2022

Why You Need Both BI Tools and Augmented Analytics and What to Consider When Selecting a Vendor. According to a West Monroe Partners’ survey, 68% of business and technology leaders surveyed don’t believe their competitors are leveraging data successfully. Predictive Modeling to support business needs, forecast, and test theories.

Business Intelligence 130

Business Intelligence Business Intelligence Data Discovery Visualization 130

ElegantJ BI

MAY 21, 2018

R Script and BI Tools Combine for Greater Power and Flexibility! The BI tool I use integrates with R scripting so my team does not need programming support to achieve integration and everyone in our division can leverage the business intelligence tools and smart visualization features to analyze the R Script output.

Business Intelligence 130

Business Intelligence Business Intelligence Data Discovery Predictive Analytics 130

ElegantJ BI

MAY 21, 2018

R Script and BI Tools Combine for Greater Power and Flexibility! The BI tool I use integrates with R scripting so my team does not need programming support to achieve integration and everyone in our division can leverage the business intelligence tools and smart visualization features to analyze the R Script output.

Business Intelligence 130

Business Intelligence Business Intelligence Data Discovery Predictive Analytics 130

ElegantJ BI

MAY 21, 2018

R Script and BI Tools Combine for Greater Power and Flexibility! The BI tool I use integrates with R scripting so my team does not need programming support to achieve integration and everyone in our division can leverage the business intelligence tools and smart visualization features to analyze the R Script output.

Business Intelligence 130

Business Intelligence Business Intelligence Data Discovery Predictive Analytics 130

ElegantJ BI

AUGUST 16, 2016

Debunking Common Business Intelligence Myths Myth #6: You Need Data Scientists to Employ Predictive Analysis in Your Organization Every enterprise, large or small, must have access to sophisticated, easy-to-use business intelligence tools in order to compete in local, regional and global markets.

Predictive Analytics 130

Predictive Analytics Business Intelligence Business Intelligence Data Discovery 130

ElegantJ BI

AUGUST 16, 2016

Debunking Common Business Intelligence Myths Myth #6: You Need Data Scientists to Employ Predictive Analysis in Your Organization Every enterprise, large or small, must have access to sophisticated, easy-to-use business intelligence tools in order to compete in local, regional and global markets.

Predictive Analytics 130

Predictive Analytics Business Intelligence Business Intelligence Data Discovery 130

ElegantJ BI

AUGUST 16, 2016

Myth #6: You Need Data Scientists to Employ Predictive Analysis in Your Organization. In the sixth of this seven-article series, we will discuss the opportunities presented by Citizen Data Scientists and the common market myth that claims an enterprise must employ professional data scientists in order to engage in predictive analysis.

Predictive Analytics 130

Predictive Analytics Business Intelligence Business Intelligence Data Discovery 130

Sisense

MARCH 26, 2020

We provide actionable advice around how organizations, and ultimately the builders of data and analytic apps, are adapting to meet these changes. Evan Castle, Sisense Head of BI & Analytics Products. Business owners are reassessing important data to better understand the long-term impact. Making smarter staffing decisions.

Supply Chain 91

Supply Chain Digital Transformation Digital Business Intelligence 91

Astera

OCTOBER 19, 2023

Data analysis demands precision, and at its core lies the vital role of data preparation tools. These tools serve as the cornerstone for ensuring your data is accurate, consistent, and reliable. Before embarking on your data analysis journey, it’s crucial to choose the right tool for the job. This was up 2.6%

IBM Support 40

IBM Support Data Quality IBM Maintenance Real-time Data 40

The BAWorld

JANUARY 25, 2021

It primarily focuses on developing models that use algorithms to learn and detect patterns, trends, and associations from existing data. Models can apply this learning to new data. Gathering Data. The entire process of machine learning revolves around data. Data Preparation. Data Visualization.

Logistics 90

Logistics Data Visualization Artificial Intelligence Visualization 90

Sisense

JANUARY 22, 2021

That advice is a quintessential actionable insight: The algorithm models the applicant’s probability of success by training on a mountain of historical data and market factors. The resulting insight is the algorithm’s classification of the applicant as an acceptable or unacceptable risk. Actionable insights example: Broadridge.

E-Commerce 52

E-Commerce Embedded Analytics Portfolio Management Healthcare 52

Astera

JUNE 14, 2023

What is Document Data Extraction? Document data extraction refers to the process of extracting relevant information from various types of documents, whether digital or in print. It involves identifying and retrieving specific data points such as invoice and purchase order (PO) numbers, names, and addresses among others.

Documentation 52

Documentation Supply Chain Healthcare Logistics 52

Smart Data Collective

AUGUST 29, 2022

Did you know that 53% of companies use data analytics technology ? They are digging deeper into their data to improve efficiency, gain a competitive advantage, and further increase their profit. There are a number of ready-made BI solutions that allow you to group data. Top ML approaches to improve your analytics.

Predictive Analytics 292

Predictive Analytics Banking Healthcare Retail 292

ElegantJ BI

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): Weather Forecasting, Fraud Analysis and more.

Logistics 130

Logistics Data Discovery Predictive Analytics Business Intelligence 130

Astera

MAY 6, 2024

What Is Data Mining? Data mining , also known as Knowledge Discovery in Data (KDD), is a powerful technique that analyzes and unlocks hidden insights from vast amounts of information and datasets. What Are Data Mining Tools? Type of Data Mining Tool Pros Cons Best for Simple Tools (e.g., Big Data Tools (e.g.,

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Data Pine

MARCH 25, 2022

2) BI vs BA As Seen Through Football. 3) BI And BA Main Differences. 4) How Do BI And BA Apply To Business? 5) BI And BA Use-Case Scenarios. 6) BI And BA Examples. Your Chance: Want to extract the maximum potential out of your data? Try our professional BI and analytics software for 14 days free!

Business Intelligence 105

Business Intelligence Business Intelligence E-Commerce Procurement 105

ElegantJ BI

SEPTEMBER 7, 2016

With a 100% browser based interface with Deep Dive Analytics capability business users can interact with data without technical expertise. Myth #2 – True Self-Serve BI Tools Will Compromise Data Governance Accessibility, trust and usability of a BI solution is hampered by Data Anarchy.

Business Intelligence 100

Business Intelligence Business Intelligence Data Discovery Predictive Analytics 100

ElegantJ BI

SEPTEMBER 7, 2016

With a 100% browser based interface with Deep Dive Analytics capability business users can interact with data without technical expertise. Myth #2 – True Self-Serve BI Tools Will Compromise Data Governance Accessibility, trust and usability of a BI solution is hampered by Data Anarchy.

Business Intelligence 100

Business Intelligence Business Intelligence Data Discovery Predictive Analytics 100

ElegantJ BI

SEPTEMBER 7, 2016

This article series is entitled ‘Debunking Common Business Intelligence Myths’ The information presented in this, the seventh article of the series, summarizes the myths and cuts through the confusion to help you choose the right BI tool for your business and business users.

Business Intelligence 100

Business Intelligence Business Intelligence Data Discovery Predictive Analytics 100

The BAWorld

NOVEMBER 22, 2021

Top Data Analytics terms are explained in this article. Data Analytics Terms & Fundamentals. Classification Model. A classification model distinguishes among two or more discrete values or separates data into different classes, like whether an email is a spam or not, will the customer pay his loan on time or not.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

Cprime

JANUARY 21, 2021

But with so many different options, how do we know which one to choose. Each option has its own benefits and use case scenarios. In this blog post, I want to explain all of the tools and which tools to use for which scenario. All the different Project Management Options. There are several different apps in Microsoft 365 for Project Management.

Project Management 52

Project Management Portfolio Management Documentation Visualization 52

The BAWorld

APRIL 27, 2021

How are the Data Analytics projects executed? In this article, I am going to discuss and explain Data Analytics Projects Life Cycle. Over the last two years alone, 90 percent of the data in the world was generated! Looking at the sheer volume of data generated every minute across the globe can be mind-boggling.

Data Analytics 52

Data Analytics Data Analytics Data Visualization Visualization 52

ElegantJ BI

JULY 30, 2019

When you choose a BI tool that is appropriate for your business users, you may be focused on ease-of-use and on Citizen Data Scientist and data democratization and data literacy initiatives but, don’t forget your analysts, data scientists and IT team members! Business Intelligence and R Scripting Integration!

Business Intelligence 130

Business Intelligence Business Intelligence Visualization 130

ElegantJ BI

JULY 30, 2019

When you choose a BI tool that is appropriate for your business users, you may be focused on ease-of-use and on Citizen Data Scientist and data democratization and data literacy initiatives but, don’t forget your analysts, data scientists and IT team members! Business Intelligence and R Scripting Integration!

Business Intelligence 130

Business Intelligence Business Intelligence Visualization 130

ElegantJ BI

JULY 30, 2019

When you choose a BI tool that is appropriate for your business users, you may be focused on ease-of-use and on Citizen Data Scientist and data democratization and data literacy initiatives but, don’t forget your analysts, data scientists and IT team members! Business Intelligence and R Scripting Integration!

Business Intelligence 130

Business Intelligence Business Intelligence Visualization 130

Data Pine

MAY 17, 2021

1) What Is Data Discovery? 2) Why is Data Discovery So Popular? 3) Data Discovery Tools Attributes. 5) How To Perform Smart Data Discovery. 6) Data Discovery For The Modern Age. We live in a time where data is all around us. Being a data-driven organization starts with understanding your data.

Data Discovery 64

Data Discovery Data Visualization Visualization Business Intelligence 64