Smart Data Collective

FEBRUARY 9, 2022

Learn how DirectX visualization can improve your study and assessment of different trading instruments for maximum productivity and profitability. A growing number of traders are using increasingly sophisticated data mining and machine learning tools to develop a competitive edge.

Visualization 363

Visualization Data Mining Planning Data Analytics 363

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

BizAcuity

MAY 16, 2022

Integrating data through data warehouses and data lakes is one of the standard industry best practices for optimizing business intelligence. Data mining. Data mining is a technique used for refining data by removing any anomalies to identify and understand relationships between variables.

Business Intelligence 130

Business Intelligence Business Intelligence Data Mining Data Warehouse 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 334

E-Commerce Cloud Computing Big Data Data Modelling 334

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 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 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 Intelligence 130

Business Intelligence Business Intelligence Predictive Analytics Data Visualization 130

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 Agile Business Intelligence 174

ElegantJ BI

MAY 22, 2017

With Plug n’ Play Predictive Analysis business users can consider hypothesis of various scenarios and, if necessary, consult a data scientists if they need to refine and fine-tune these models. About Kartik Patel Kartik is the founder and CEO of Elegant MicroWeb , specializing in software services and products.

Supply Chain 130

Supply Chain Predictive Analytics Data Mining Business Intelligence 130

ElegantJ BI

MAY 22, 2017

With Plug n’ Play Predictive Analysis business users can consider hypothesis of various scenarios and, if necessary, consult a data scientists if they need to refine and fine-tune these models. About Kartik Patel Kartik is the founder and CEO of Elegant MicroWeb , specializing in software services and products.

Supply Chain 130

Supply Chain Predictive Analytics Data Mining Business Intelligence 130

ElegantJ BI

MAY 22, 2017

With Plug n’ Play Predictive Analysis business users can consider hypothesis of various scenarios and, if necessary, consult a data scientists if they need to refine and fine-tune these models. About Kartik Patel.

Supply Chain 130

Supply Chain Predictive Analytics Business Intelligence Business Intelligence 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 Agile Business Intelligence 154

BizAcuity

MARCH 31, 2022

AI can be applies to all 3 major types of analytics: Descriptive Analytics: The entire journey of the descriptive and diagnostic analytics process includes data extraction, data aggregation and data mining; 3 applications where AI is widely used to reduce costs, and eliminate complex actions.

Artificial Intelligence 130

Artificial Intelligence Data Analytics Data Analytics Predictive Analytics 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 100

Visualization Data Visualization Agile 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 Agile Business Intelligence 100

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**. Your Chance: Want to experience the power of business intelligence?

Business Intelligence 117

Business Intelligence Business Intelligence Big Data Data Mining 117

Data Pine

MAY 14, 2019

This interdisciplinary field of scientific methods, processes, and systems helps people extract knowledge or insights from data in a host of forms, either structured or unstructured, similar to data mining. A must for any budding data scientist’s home library. An inspiring addition to our rundown of data science books.

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

The BAWorld

NOVEMBER 8, 2024

It is described using methods like drill-down, data discovery, data mining, and correlations. To identify the underlying causes of occurrences, diagnostic analytics examines data more closely. Data visualization software Tableau even offers drag-and-drop features that make it incredibly simple for anyone to get started.

Predictive Analytics 40

Predictive Analytics Data Discovery Data Mining Visualization 40

The BAWorld

FEBRUARY 4, 2021

Statistical, mathematical, analytical, data mining, and machine learning algorithm knowledge is required to be able to identify data sources, prepare data mappings, perform exploratory analysis, and identify the optimal model for the data based on business needs. It is useful while: ?

Data Analytics 98

Data Analytics Data Analytics Visualization Data Mining 98

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

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 Analytics Data Analytics 87

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

MAY 29, 2019

Business intelligence architecture is a term used to describe standards and policies for organizing data with the help of computer-based techniques and technologies that create business intelligence systems used for online data visualization , reporting, and analysis. One of the BI architecture components is data warehousing.

Business Intelligence 78

Business Intelligence Business Intelligence Data Warehouse Visualization 78

Data Pine

SEPTEMBER 27, 2022

Business leaders, developers, data heads, and tech enthusiasts – it’s time to make some room on your business intelligence bookshelf because once again, datapine has new books for you to add. We have already given you our top data visualization books , top business intelligence books , and best data analytics books.

IBM cost 117

IBM cost Data Warehouse Business Intelligence Business Intelligence 117

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 25, 2022

Predictive analytics : This method uses advanced statistical techniques coming from data mining and machine learning technologies to analyze current and historical data and generate accurate predictions. BI dashboards , offer the possibility to filter the data all in one screen to extract deeper conclusions.

Business Intelligence 105

Business Intelligence Business Intelligence E-Commerce Predictive Analytics 105

The BAWorld

APRIL 23, 2024

Phase 3: Design a Model After mapping out your business objectives and gathering a plethora of data (structured, unstructured, or semi-structured), it is time to develop a model that will help you reach your goals. This is known as data mining. Processing large data sets. Data Visualization. Deep Learning.

Data Analytics 52

Data Analytics Data Analytics Big Data Data Mining 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 Visualization 52

Business Analysis Knowledge Share

MARCH 15, 2023

Let’s understand what a Data warehouse is and talk through some key concepts Datawarehouse Concepts for Business Analysis Data warehousing is a process of collecting, storing and managing data from various sources to support business decision making. What is Data Warehousing?

Big Data 52

Big Data Data Analytics Data Analytics Data Warehouse 52

Data Pine

OCTOBER 10, 2019

When it comes to creating dashboards that not only speak to your audience but also help to develop your business in a number of vital areas, telling a compelling story (or giving your user the tools to tell others a compelling story) with your data is essential. Select The Right Chart Type For Your Data.

Retail 58

Retail Visualization Logistics Real-time Data 58

Fingent

OCTOBER 14, 2021

Undoubtedly, data is what we see almost everywhere, and it is enormous. A look into how Data and AI transformed in years! The post Data and AI: How It Has Transformed Over The Years And Trends To Watch Out For! And it doesn’t stop there, it is growing continuously at a level beyond imagination!

Data Mining 98

Data Mining Digital Transformation Data Visualization Artificial Intelligence 98

Astera

AUGUST 5, 2024

Data Visualization Once the analysis is complete, the results are interpreted to generate findings relevant to the business. It uses advanced methods such as data mining, statistical modeling, and machine learning to dig deeper into data. ” to understand current trends and predict future outcomes.

Supply Chain 40

Supply Chain Logistics Visualization Predictive Analytics 40

The BAWorld

NOVEMBER 22, 2021

Also, see data visualization. Data Analytics. Data analytics is the science of examining raw data to determine valuable insights and draw conclusions for creating better business outcomes. Data validation involves checking the accuracy and quality of source data before using, importing, or processing data.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

Data Pine

AUGUST 29, 2022

An excerpt from a rave review : “I would definitely recommend this book to everyone interested in learning about data from scratch and would say it is the finest resource available among all other Big Data Analytics books.”. If we had to pick one book for an absolute newbie to the field of Data Science to read, it would be this one.

Big Data 105

Big Data Data Analytics Data Analytics Data Mining 105

The BAWorld

APRIL 27, 2021

It would be impossible to find any useful information from this raw data. But if we follow logical steps sequentially, we can better grasp the data and get valuable insights from this data mine. Each data analytics project follows standard measures to derive insights from data and make it useful for business. .

Data Analytics 52

Data Analytics Data Analytics Data Visualization Visualization 52