BizAcuity

SEPTEMBER 16, 2019

A BI dashboard — or business intelligence dashboard — is an information management tool that uses data visualization to display KPIs (key performance indicators) tracked by a business to assess various aspects of performance. They aim at simplifying huge amounts of data, into simpler insights that can been easily understood and used.

Visualization 174

Visualization Data Visualization Business Intelligence Business Intelligence 174

Analysts Corner

OCTOBER 26, 2023

Business Intelligence (BI) is a set of tools, technologies, and practices that transform raw data into meaningful and actionable information, empowering organizations to make informed decisions, optimize processes, and drive better business outcomes.

Business Intelligence 130

Business Intelligence Business Intelligence Supply Chain Data Mining 130

BizAcuity

NOVEMBER 8, 2019

A BI dashboard — or business intelligence dashboard — is an information management tool that uses data visualization to display KPIs (key performance indicators) tracked by a business to assess various aspects of performance. They aim at simplifying huge amounts of data, into simpler insights that can been easily understood and used.

Visualization 154

Visualization Data Visualization Business Intelligence Business Intelligence 154

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. FBG: Fasting Plasma Glucose test measures the amount of glucose levels present in the blood.

Data Mining 52

Data Mining Healthcare Banking Retail 52

ElegantJ BI

JANUARY 31, 2019

Today’s Advanced Analytics Tools allow business users to leverage features like self-serve data preparation, smart data visualization and assisted predictive modeling. Business markets and competition are moving much more quickly these days and predicting, planning and forecasting is more important than ever.

Business Intelligence 130

Business Intelligence Business Intelligence Predictive Analytics Data Visualization 130

ElegantJ BI

JANUARY 31, 2019

Today’s Advanced Analytics Tools allow business users to leverage features like self-serve data preparation, smart data visualization and assisted predictive modeling. Business markets and competition are moving much more quickly these days and predicting, planning and forecasting is more important than ever.

Business Intelligence 130

Business Intelligence Business Intelligence Predictive Analytics Data Visualization 130

ElegantJ BI

JANUARY 31, 2019

Today’s Advanced Analytics Tools allow business users to leverage features like self-serve data preparation, smart data visualization and assisted predictive modeling. Business markets and competition are moving much more quickly these days and predicting, planning and forecasting is more important than ever.

Business Intelligence 130

Business Intelligence Business Intelligence Predictive Analytics Data Visualization 130

ElegantJ BI

APRIL 28, 2021

A Data Warehouse is a structured environment that is comprised of one or more databases and organized in tiers. An interactive, front-end tier provides search results for reporting, analytics and data mining. A Data Lake stores data with no organization or hierarchy.

Data Warehouse 130

Data Warehouse Data Mining Data Management Data Governance 130

ElegantJ BI

APRIL 28, 2021

A Data Warehouse is a structured environment that is comprised of one or more databases and organized in tiers. An interactive, front-end tier provides search results for reporting, analytics and data mining. A Data Lake stores data with no organization or hierarchy.

Data Warehouse 130

Data Warehouse Data Mining Data Management Data Governance 130

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. The Fundamentals. Mathematics.

E-Commerce 267

E-Commerce Cloud Computing Big Data Data Modelling 267

ElegantJ BI

JULY 23, 2014

Most of this data is structured, and can be analyzed by exporting social media analytics and reports and using BI tools with slice and dice, filtering and other data mining and visual mining tools.

Business Intelligence 130

Business Intelligence Business Intelligence Data Mining Visualization 130

ElegantJ BI

JULY 23, 2014

Most of this data is structured, and can be analyzed by exporting social media analytics and reports and using BI tools with slice and dice, filtering and other data mining and visual mining tools.

Business Intelligence 130

Business Intelligence Business Intelligence Data Mining Visualization 130

ElegantJ BI

JULY 23, 2014

Most of this data is structured, and can be analyzed by exporting social media analytics and reports and using BI tools with slice and dice, filtering and other data mining and visual mining tools.

Business Intelligence 130

Business Intelligence Business Intelligence Data Mining Visualization 130

Data Pine

OCTOBER 25, 2022

With ‘big data’ transcending one of the biggest business intelligence buzzwords of recent years to a living, breathing driver of sustainable success in a competitive digital age, it might be time to jump on the statistical bandwagon, so to speak. click for book source**. click for book source**.

Business Intelligence 117

Business Intelligence Business Intelligence Big Data Data Mining 117

The BAWorld

NOVEMBER 5, 2024

Business Analytics is defined as the scientific process of transforming data into insights for making better decisions and predict the outcome for the business. Any form of analytics starts with the collection of data and developing a model to summarize and create visual patterns for better understanding.

Big Data 98

Big Data Data Mining Data Analytics Data Analytics 98

BizAcuity

NOVEMBER 8, 2019

A BI dashboard — or business intelligence dashboard — is an information management tool that uses data visualization to display KPIs (key performance indicators) tracked by a business to assess various aspects of performance. They aim at simplifying huge amounts of data, into simpler insights that can been easily understood and used.

Visualization 100

Visualization Data Visualization Business Intelligence Business Intelligence 100

BizAcuity

NOVEMBER 8, 2019

A BI dashboard — or business intelligence dashboard — is an information management tool that uses data visualization to display KPIs (key performance indicators) tracked by a business to assess various aspects of performance. They aim at simplifying huge amounts of data, into simpler insights that can been easily understood and used.

Visualization 100

Visualization Data Visualization Business Intelligence Business Intelligence 100

BizAcuity

MARCH 31, 2022

You must be tired of continuously hearing quotes like, ‘data is the new oil’ and what not. This article (like thousands of other articles), is aimed at presenting consolidated information about AI for business in simple language. A lot of testing AI methods can be utilized for better and more accurate outcomes from mining the data.

Artificial Intelligence 130

Artificial Intelligence Data Analytics Data Analytics Predictive Analytics 130

Data Pine

MARCH 25, 2019

What Is A Data Analysis Method? Data analysis method focuses on strategic approaches to taking raw data, mining for insights that are relevant to the business’s primary goals, and drilling down into this information to transform metrics, facts, and figures into initiatives that benefit improvement. Visualize your data.

Big Data 87

Big Data Visualization Data Visualization Data Analytics 87

Data Pine

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 Is Business Intelligence And Analytics?

Business Intelligence 105

Business Intelligence Business Intelligence E-Commerce Predictive Analytics 105

Data Pine

MAY 14, 2019

“Big data is at the foundation of all the megatrends that are happening.” – Chris Lynch, big data expert. We live in a world saturated with data. At present, around 2.7 Zettabytes of data are floating around in our digital universe, just waiting to be analyzed and explored, according to AnalyticsWeek.

Artificial Intelligence 140

Artificial Intelligence Big Data Business Intelligence Business Intelligence 140

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

Marutitech

DECEMBER 17, 2021

With the advancements in technology, data mining, and machine learning tools, several types of predictive analytics models are available to work with. The model can analyze the unusual data either by itself or by combining it with other categories and numbers present. Top 5 Predictive Analytics Models.

Predictive Analytics 140

Predictive Analytics Data Mining Finance Data Analytics 140

Data Pine

JANUARY 24, 2021

Methods like artificial neural networks (ANN) and autoregressive integrated moving average (ARIMA), time series, seasonal naïve approach, and data mining find wide application in data analytics nowadays. Your choice of method should depend on the type of data you’ve collected, your team’s skills, and your resources.

Data Visualization 126

Data Visualization Data Analytics Data Analytics Data Quality 126

Marutitech

JANUARY 21, 2022

Companies worldwide follow various approaches to deal with the process of data mining. . This method is generally known as the CRISP-DM, abbreviated as Cross-Industry Standard Process for Data Mining. . Data Understanding. Modeling data . The CRISP-DM methodology is as follows: Business Understanding.

Project Management 113

Project Management Data Mining Data Analytics Data Analytics 113

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

The BAWorld

APRIL 23, 2024

Life Cycle Phases of Data Analytics This tutorial discusses the data analytics lifecycle phases that are essential to each data analytics process and how to implement them. As a result, they are more likely to remain present throughout the lifecycle of most data analytics projects. This is known as data mining.

Data Analytics 52

Data Analytics Data Analytics Big Data Data Mining 52

Sisense

AUGUST 11, 2019

BI lets you apply chosen metrics to potentially huge, unstructured datasets, and covers querying, data mining , online analytical processing ( OLAP ), and reporting as well as business performance monitoring, predictive and prescriptive analytics. But on the whole, BI is more concerned with the whats and the hows than the whys.

Business Intelligence 75

Business Intelligence Business Intelligence Data Mining Predictive Analytics 75

Sisense

APRIL 26, 2020

Cloud data warehouses: The new era of data storage. Cloud data warehouses aggregate data from different sources into a central, consistent data store to support various business, analytics, visualization, AI, and ML purposes. Making life better for data professionals.

Data Warehouse 52

Data Warehouse Data Mining Artificial Intelligence Visualization 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

Sisense

MAY 11, 2021

In determining how we wanted to merge these data stacks and how we wanted to model our data, we also revisited our data strategy to consider what we as a data team were striving to achieve within the business. The right data model + artificial intelligence = augmented analytics. Dig into AI.

Data Modelling 84

Data Modelling Big Data Data Analytics Data Analytics 84

Astera

APRIL 13, 2023

A data warehouse is a system used to manage and store data from multiple sources, including operational databases, transactional systems, and external data sources. The data is organized and structured to support business intelligence (BI) activities such as data mining, analytics, and reporting.

Data Warehouse 52

Data Warehouse Data Mining Business Intelligence Business Intelligence 52

The BAWorld

JUNE 5, 2024

Let us understand the skills most companies demand by looking at the Job Description of Data Analyst profile. Data Analyst Job Description The ideal Data Analyst candidate should possess strong skills in data mining, generation, and visualization.

Data Analytics 52

Data Analytics Data Analytics Skillset Innovation 52

Marutitech

JUNE 30, 2022

You can then visualize the data structure as a multidimensional map in which groups of entities form clusters of a different kind. Cluster algorithms in data mining are often shown as a heatmap, where items close together have similar values, and those far apart have very different values. Handle different attributes.

Predictive Analytics 52

Predictive Analytics Data Mining Logistics Vision 52

The BAWorld

FEBRUARY 12, 2024

It captures the different workflows and presents them in the form of straightforward visual representation for better understanding. Instead, they are processed by various data mining algorithms that use pre-occupied data to make the business model. Business process modeling is not manual.

Process Modelling 40

Process Modelling UML Data Mining Visualization 40

Astera

AUGUST 5, 2024

It uses statistical techniques to describe the basic characteristics of the data, such as mean, median, mode, standard deviation, and frequency distributions. The aim is to provide a clear understanding of what has happened in the past by transforming raw data into meaningful summaries and visualizations.

Supply Chain 40

Supply Chain Logistics Visualization Predictive Analytics 40

Astera

APRIL 27, 2023

How Does Data Extraction Proceed in the ETL Lifecycle? The detailed steps in the data extraction process may vary according to the data source and the specific requirements of the process. The budgetary requirements for deploying data extraction are much lower than data mining which is more suited to larger organizations.

E-Commerce 52

E-Commerce Data Mining Documentation Data Warehouse 52