ElegantJ BI

JANUARY 26, 2015

This comprehensive view requires more than the Tally ERP solution can offer in the way of data mining or user personalization. Part I of this series of articles focused the issues a small to medium sized (SME) business faces as its reporting requirements become more complex and the need for flexibility increases.

Data Mining 100

Data Mining Supply Chain Business Intelligence Business Intelligence 100

ElegantJ BI

JANUARY 26, 2015

This comprehensive view requires more than the Tally ERP solution can offer in the way of data mining or user personalization. Part I of this series of articles focused the issues a small to medium sized (SME) business faces as its reporting requirements become more complex and the need for flexibility increases.

Data Mining 100

Data Mining Supply Chain Business Intelligence Business Intelligence 100

Smart Data Collective

OCTOBER 15, 2021

This is one of the ways that big data can be most helpful. You can use sophisticated data mining tools to get the keywords you need to create a successful campaign. Big data has also been very important in developing websites. You can read our previous article on using big data for website development.

Big Data 357

Big Data Data Mining Data Analytics Data Analytics 357

Smart Data Collective

MARCH 30, 2022

You can create visual content with tools like PhotoShop, Canva and Illustrator. You can also use machine learning article generators like Luminoso and The Click Reader to create blog content. You want to use data mining tools to understand your customers and leverage AI to automate your outreach strategy.

Data Mining 294

Data Mining Visualization 294

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.,

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Dataversity

JUNE 3, 2021

Data Science is a multidisciplinary field that uses processes, algorithms, and systems to obtain various insights coming from both structured and unstructured data. It is related to data mining, machine learning, and big data. A data scientist – the person in […].

Data Mining 190

Data Mining Big Data Data Visualization Visualization 190

Smart Data Collective

AUGUST 23, 2020

Big data is becoming more important to modern SEO strategies. In fact, Ahrefs has an entire article detailing their plan to provide big data technology to SEO strategists. Google uses complex data mining tools to find information as part of its ranking strategy. You need to use it accordingly.

Big Data 237

Big Data Data Mining Digital Data Analytics 237

GAVS Technology

DECEMBER 2, 2020

The benefits are obvious and individual hospitals may add more points to the above list; the rest of the article is about how to perform the patient segmentation using data mining techniques. Data Mining for Patient Segmentation. About the Author – Srini is the Technology Advisor for GAVS.

Data Mining 52

Data Mining Healthcare Banking Retail 52

Smart Data Collective

JUNE 4, 2021

Here are the chronological steps for the data science journey. First of all, it is important to understand what data science is and is not. Data science should not be used synonymously with data mining. Mathematics, statistics, and programming are pillars of data science. Publish Articles.

E-Commerce 267

E-Commerce Cloud Computing Big Data Data Modelling 267

ElegantJ BI

JULY 23, 2014

In this article, we will delve deeper into this topic and focus on the factors a business must when building an analytical environment in which to measure the various aspects of social media marketing, market trends and buying behavior.

Business Intelligence 130

Business Intelligence Business Intelligence Data Mining Visualization 130

ElegantJ BI

JULY 23, 2014

In this article, we will delve deeper into this topic and focus on the factors a business must when building an analytical environment in which to measure the various aspects of social media marketing, market trends and buying behavior.

Business Intelligence 130

Business Intelligence Business Intelligence Data Mining Visualization 130

ElegantJ BI

JULY 23, 2014

In this article, we will delve deeper into this topic and focus on the factors a business must when building an analytical environment in which to measure the various aspects of social media marketing, market trends and buying behavior.

Business Intelligence 130

Business Intelligence Business Intelligence Data Mining Visualization 130

ElegantJ BI

APRIL 28, 2021

Without a clear understanding of the various categories and iterations of data management options, the business may make the wrong choice or become so mired in the review process that it will give up its quest. This article is the first of two on the topic of Data Management.

Data Warehouse 130

Data Warehouse Data Mining Data Management Data Governance 130

ElegantJ BI

APRIL 28, 2021

Without a clear understanding of the various categories and iterations of data management options, the business may make the wrong choice or become so mired in the review process that it will give up its quest. This article is the first of two on the topic of Data Management.

Data Warehouse 130

Data Warehouse Data Mining Data Management Data Governance 130

BizAcuity

MARCH 31, 2022

There have been so many articles published about AI and its applications, you can find millions of articles from broad concepts to deep technical literature on the internet. You must be tired of continuously hearing quotes like, ‘data is the new oil’ and what not. Hope the article helped.

Artificial Intelligence 130

Artificial Intelligence Data Analytics Data Analytics Predictive Analytics 130

The BAWorld

NOVEMBER 5, 2024

In this article, I am going to explain descriptive analytics in-depth with a real-life use case. Business Analytics is defined as the scientific process of transforming data into insights for making better decisions and predict the outcome for the business. Making sense of the data in its raw format will be extremely difficult.

Big Data 98

Big Data Data Mining Data Analytics Data Analytics 98

Sisense

APRIL 10, 2020

R is a tool built by statisticians mainly for mathematics, statistics, research, and data analysis. 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.

Visualization 98

Visualization Artificial Intelligence Data Mining Logistics 98

Watermark Learning

OCTOBER 3, 2023

It also has a list of 50 techniques that ensure consistency and effectiveness in the application of business analysis, which is the topic of today’s article What is the BABOK® Guide? Models are a means to visualize the steps of a complex or multi-stage process. Data Modeling-Describes the data important to the business.

Process Modelling 86

Process Modelling Business Analysis Business Analysis Visualization 86

Astera

MAY 30, 2024

Data analytics has several components: Data Aggregation : Collecting data from various sources. Data Mining : Sifting through data to find relevant information. Statistical Analysis : Using statistics to interpret data and identify trends. What are the 4 Types of Data Analytics?

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 52

Data Pine

MARCH 31, 2022

To simplify things, you can think of back-end BI skills as more technical in nature and related to building BI platforms, like online data visualization tools. Front-end analytical and business intelligence skills are geared more towards presenting and communicating data to others. b) If You’re Already In The Workforce.

Business Intelligence 95

Business Intelligence Business Intelligence Data Visualization Visualization 95

Data Pine

MARCH 25, 2022

Your Chance: Want to extract the maximum potential out of your data? In an article tackling BI and Business Analytics, Better Buys asked seven different BI pros what their thoughts were on the difference between business intelligence and analytics. Try our professional BI and analytics software for 14 days free!

Business Intelligence 105

Business Intelligence Business Intelligence E-Commerce Predictive Analytics 105

The BAWorld

APRIL 23, 2024

The phases of the Data Analytics Lifecycle are organized in a circular framework, which is referred to as the Data Analytics Lifecycle. In this article, we’ll go over the different data analytics lifecycle phases and discuss them one by one. This is known as data mining. Recognize your data set 3.

Data Analytics 52

Data Analytics Data Analytics Big Data Data Mining 52

GAVS Technology

JUNE 2, 2021

As per Gartner, the data fabric approach can enhance traditional data management patterns and replace them with a more responsive approach. As it is key for the enterprise data management strategy, let us understand more about the details of data fabric in this article. What is Data Fabric?

Healthcare 52

Healthcare Data Governance Government Data Mining 52

The BAWorld

NOVEMBER 8, 2024

But, before we do that, you can check out our B usiness Analytics Certification Training that we offer to enhance your knowledge and gain a better understanding of what data analytics is all about and simultaneously gain a credential by IIBA. Let’s head into the article! What is Business Analytics?

Predictive Analytics 40

Predictive Analytics Data Discovery Data Mining Visualization 40

The BAWorld

NOVEMBER 26, 2021

Generate answers by cleaning, transforming, summarizing, and visualizing data. So, Bar and pie charts are some examples of visualizing this data. For instance, With the right questions and visualizations, we can begin with our analysis journey in the right direction. EDA with Techcanvass.

Data Mining 52

Data Mining Data Quality Visualization Planning 52

The BAWorld

NOVEMBER 26, 2021

Generate answers by cleaning, transforming, summarizing, and visualizing data. Bar and pie charts are some examples of visualizing this data. With the right questions and visualizations, we can begin with our analysis journey in the right direction. Based on your learning, refine/prepare new questions.

Data Mining 52

Data Mining Data Quality Visualization Planning 52

The BAWorld

MAY 14, 2024

If you are preparing for a Data Analytics interview, this article provides you with just the right resource. We have collected the top 20 Data Analyst interview questions and have provided likely answers. General Data Analyst Interview Questions These questions are general questions to check your Data Analytics basics.

Data Analytics 52

Data Analytics Data Analytics E-Commerce Visualization 52

Astera

JUNE 14, 2023

In this article, we’ll explore the key factors that make up an effective integration architecture and how they fit into Centerprise’s capabilities. By the end of this article, you’ll have a better understanding of what data integration architecture is and what it takes to implement it successfully.

Data Mining 52

Data Mining Monitoring Data Quality Data Automation 52

Data Pine

OCTOBER 10, 2019

A business dashboard offers at-a-glance insights based on key performance indicators (KPIs) and is an intuitive and visually pleasing way to consume data. Unlike early predecessors, they give presenters the ability to engage audiences with real-time data. Select The Right Chart Type For Your Data.

Retail 58

Retail Visualization Logistics Real-time Data 58

Astera

APRIL 27, 2023

The days of manual data extraction are long gone, and organizations use specialized tools to perform this task in a scalable and efficient manner without compromising accuracy. This article will discuss the data extraction process, real-life use cases, and some basic types of data extractors.

E-Commerce 52

E-Commerce Data Mining Documentation Data Warehouse 52

Astera

APRIL 27, 2023

The days of manual data extraction are long gone, and organizations use specialized tools to perform this task in a scalable and efficient manner without compromising accuracy. This article will discuss the data extraction process, real-life use cases, and some basic types of data extractors.

E-Commerce 52

E-Commerce Data Mining Documentation Data Warehouse 52

Sisense

MAY 11, 2021

According to a recent survey conducted by IDC , 43% of respondents were drawing intelligence from 10 to 30 data sources in 2020, with a jump to 64% in 2021! With that much data flowing into analytics systems, the right data model is vital to helping your users derive actionable intelligence from them.

Data Modelling 84

Data Modelling Big Data Data Analytics Data Analytics 84

The BAWorld

NOVEMBER 22, 2021

Top Data Analytics terms are explained in this article. Data Analytics Terms & Fundamentals. A dashboard is a collection of multiple visualizations in data analytics terms that provide an overall picture of the analysis. Also, see data visualization. Data Analytics. Logical Data Model.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

Smart Data Collective

JANUARY 30, 2023

In this article, we will talk about how images relate to SEO and how to make sure they are working for you. We will later delve into some ways that you can use data analytics to improve the SEO of your images. You can use data mining tools like Accessibilityscripts.com and SEOptimer to find the alt tags of competitors.

Data Analytics 221

Data Analytics Data Analytics Big Data Data Mining 221

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

Smart Data Collective

OCTOBER 25, 2023

Aubree Smith has a great article on Sprout Social highlighting the benefits of leveraging them together. Business intelligence typically includes data mining, reporting, data visualization, and performance analytics to provide a clear view of a company’s performance, opportunities, and challenges.

Digital 268

Digital Business Intelligence Business Intelligence Monitoring 268

Data Pine

NOVEMBER 27, 2019

Data exploded and became big. Spreadsheets finally took a backseat to actionable and insightful data visualizations and interactive business dashboards. The rise of self-service analytics democratized the data product chain. 2) Data Discovery/Visualization. We all gained access to the cloud.

Business Intelligence 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144