Smart Data Collective

SEPTEMBER 26, 2021

Data is processed to generate information, which can be later used for creating better business strategies and increasing the company’s competitive edge. The raw data can be fed into a database or data warehouse. An analyst can examine the data using business intelligence tools to derive useful information. .

Documentation 326

Documentation Data Visualization Data Mining Visualization 326

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

BizAcuity

MAY 16, 2022

Integrating data allows you to perform cross-database queries, which like portals provide you with endless possibilities. Integrating data through data warehouses and data lakes is one of the standard industry best practices for optimizing business intelligence. Data mining.

Business Intelligence 130

Business Intelligence Business Intelligence Data Mining Data Warehouse 130

Analysts Corner

OCTOBER 26, 2023

This data must be cleaned, transformed, and integrated to create a consistent and accurate view of the organization’s data. Data Storage: Once the data has been collected and integrated, it must be stored in a centralized repository, such as a data warehouse or a data lake.

Business Intelligence 130

Business Intelligence Business Intelligence Supply Chain Data Mining 130

Astera

APRIL 13, 2023

In the digital age, a data warehouse plays a crucial role in businesses across several industries. It provides a systematic way to collect and analyze large amounts of data from multiple sources, such as marketing, sales, finance databases, and web analytics. What is a Data Warehouse?

Data Warehouse 52

Data Warehouse Data Mining Business Intelligence Business Intelligence 52

Astera

FEBRUARY 28, 2024

52% of IT experts consider faster analytics essential to data warehouse success. However, scaling your data warehouse and optimizing performance becomes more difficult as data volume grows. Leveraging data warehouse best practices can help you design, build, and manage data warehouses more effectively.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

BizAcuity

APRIL 1, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. This also applies to businesses that may not have a data warehouse and operate with the help of a backend database system.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Mining 130

BizAcuity

JANUARY 31, 2023

Thanks to the recent technological innovations and circumstances to their rapid adoption, having a data warehouse has become quite common in various enterprises across sectors. This also applies to businesses that may not have a data warehouse and operate with the help of a backend database system.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Mining 130

The BAWorld

OCTOBER 17, 2024

Worry not, In this article, we will answer the following questions: What is a data warehouse? What is the purpose of data warehouse? What are the benefits of using a data warehouse? How does a data warehouse impact analytics? What are the different usages of data warehouses?

Data Warehouse 40

Data Warehouse Data Analytics Data Analytics Data Mining 40

Data Pine

MAY 29, 2019

One of the BI architecture components is data warehousing. Organizing, storing, cleaning, and extraction of the data must be carried by a central repository system, namely data warehouse, that is considered as the fundamental component of business intelligence. What Is Data Warehousing And Business Intelligence?

Business Intelligence 78

Business Intelligence Business Intelligence Data Warehouse Visualization 78

Data Pine

OCTOBER 25, 2022

7) “Data Science For Business: What You Need To Know About Data Mining And Data-Analytic Thinking” by Foster Provost & Tom Fawcett. Don’t be deceived by the advanced data mining topics covered in the book – we guarantee that it will teach you a host of practical skills.

Business Intelligence 117

Business Intelligence Business Intelligence Big Data Data Mining 117

Sisense

APRIL 26, 2020

Read on to explore more about structured vs unstructured data, why the difference between structured and unstructured data matters, and how cloud data warehouses deal with them both. Structured vs unstructured data. However, both types of data play an important role in data analysis.

Data Warehouse 52

Data Warehouse Data Mining Artificial Intelligence Visualization 52

Data Pine

SEPTEMBER 27, 2022

One of the best beginners’ books on SQL for the analytical mindset, this masterful creation demonstrates how to leverage the two most vital tools for data query and analysis – SQL and Excel – to perform comprehensive data analysis without the need for a sophisticated and expensive data mining tool or application.

IBM cost 117

IBM cost Data Warehouse Business Intelligence Business Intelligence 117

Astera

FEBRUARY 27, 2024

52% of IT experts consider faster analytics essential to data warehouse success. However, scaling your data warehouse and optimizing performance becomes more difficult as data volume grows. Leveraging data warehouse best practices can help you design, build, and manage data warehouses more effectively.

Data Warehouse 52

Data Warehouse Data Quality Cloud Computing Monitoring 52

Astera

FEBRUARY 27, 2024

52% of IT experts consider faster analytics essential to data warehouse success. However, scaling your data warehouse and optimizing performance becomes more difficult as data volume grows. Leveraging data warehouse best practices can help you design, build, and manage data warehouses more effectively.

Data Warehouse 52

Data Warehouse Data Quality Cloud Computing Monitoring 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

Astera

FEBRUARY 20, 2023

A single source of truth allows healthcare organizations to apply data mining techniques to effectively detect and prevent fraud. Data Integration Challenges in Healthcare Healthcare data wields enormous power, but the sheer volume and variety of this data pose various challenges.

Healthcare 52

Healthcare Data Warehouse Data Mining Data Quality 52

Astera

NOVEMBER 27, 2023

It includes format checks, range checks, and consistency checks to ensure data is clean, correct, and logically consistent. Understanding the Difference: Data Profiling vs. Data Mining Data profiling and data mining are two distinct processes with different objectives and methodologies.

Data Mining 52

Data Mining Data Quality Business Intelligence Business Intelligence 52

Astera

MAY 30, 2024

With today’s technology, data analytics can go beyond traditional analysis, incorporating artificial intelligence (AI) and machine learning (ML) algorithms that help process information faster than manual methods. Data analytics has several components: Data Aggregation : Collecting data from various sources.

Data Analytics 52

Data Analytics Data Analytics Data Mining Supply Chain 52

Astera

JANUARY 23, 2024

Businesses need scalable, agile, and accurate data to derive business intelligence (BI) and make informed decisions. Their data architecture should be able to handle growing data volumes and user demands, deliver insights swiftly and iteratively. The combination of data vault and information marts solves this problem.

Agile 52

Agile Data Warehouse Data Quality Government 52

Sisense

MAY 11, 2021

Here at Sisense, we think about this flow in five linear layers: Raw This is our data in its raw form within a data warehouse. We follow an ELT ( E xtract, L oad, T ransform) practice, as opposed to ETL, in which we opt to transform the data in the warehouse in the stages that follow.

Data Modelling 84

Data Modelling Big Data Data Analytics Data Analytics 84

Actian

AUGUST 5, 2019

Do you need to replicate data to your cloud data warehouse? When looking at your data integration needs for a cloud app, consider what (if any) of the application’s data needs to be replicated into your data warehouse for data mining and detailed analytics.

Data Warehouse 40

Data Warehouse Data Mining Agile Digital 40

Actian

AUGUST 5, 2019

Do you need to replicate data to your cloud data warehouse? When looking at your data integration needs for a cloud app, consider what (if any) of the application’s data needs to be replicated into your data warehouse for data mining and detailed analytics.

Data Warehouse 8

Data Warehouse Data Mining Agile Digital 8

Astera

DECEMBER 21, 2022

Data Extraction vs. Data Mining. People often confuse data extraction and data mining. The process of data extraction deals with extracting important information from sources, such as emails, PDF documents, forms, text files, social media, and images with the help of content extraction tools.

Data Mining 52

Data Mining Documentation Data Quality Data Warehouse 52

Sisense

MARCH 14, 2021

As we move from right to left in the diagram, from big data to BI, we notice that unstructured data transforms into structured data. SkullCandy’s big data journey began by building a data warehouse to aggregate their transaction data, reviews.

Big Data 52

Big Data Data Analytics Data Analytics Supply Chain 52

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

GAVS Technology

NOVEMBER 3, 2020

As evident in most hospitals, these information are usually scattered across multiple data sources/databases. Hospitals typically create a data warehouse by consolidating information from multiple resources and try to create a unified database. Limitations of Current Methods.

Healthcare 52

Healthcare Data Mining Data Warehouse Data Management 52

GAVS Technology

JUNE 2, 2021

While focus on API management helps with data sharing, this functionality has to be enhanced further as data sharing also needs to take care of privacy and other data governance needs. Data Lakes. A data lake is a centralized repository that allows you to store all your structured and unstructured data at any scale.

Healthcare 52

Healthcare Data Governance Government Data Mining 52

Astera

APRIL 27, 2023

ETL process allows businesses to apply a complete data integration strategy with the goal of preparing data for business intelligence (BI). The apparent outcome is data consolidation in a central data warehouse and data assimilation into a single format.

E-Commerce 52

E-Commerce Data Mining Documentation Data Warehouse 52

Astera

APRIL 27, 2023

ETL process allows businesses to apply a complete data integration strategy with the goal of preparing data for business intelligence (BI). The apparent outcome is data consolidation in a central data warehouse and data assimilation into a single format.

E-Commerce 52

E-Commerce Data Mining Documentation Data Warehouse 52

Data Pine

MARCH 31, 2022

This could involve anything from learning SQL to buying some textbooks on data warehouses. Founded in the ’70s, this software offers a range of products and applications that allow for statistical analysis, predictive analytics, data mining, text mining, and forecasting. Business Intelligence Job Roles.

Business Intelligence 95

Business Intelligence Business Intelligence Data Visualization Visualization 95

Astera

DECEMBER 22, 2022

Of course, traditional, on-premises storage solutions cannot handle petabyte-scale data. Migrating data to the cloud is part of a flexible and scalable approach to data storage. A robust data integration tool simplifies connecting to cloud storage. There are other applications of data mining apart from churn prediction.

Data Quality 52

Data Quality Data Mining Data Warehouse Data Governance 52

Astera

JULY 13, 2023

Step 4: Data Enrichment Once the data is cleaned, it is enriched with additional information that can enhance its value. This can include information from external sources, such as demographic or geographic data, or data generated through data mining techniques.

Artificial Intelligence 40

Artificial Intelligence Data Analytics Data Analytics Data Mining 40

The BAWorld

NOVEMBER 22, 2021

Online analytical processing is software for performing multidimensional analysis at high speeds on large volumes of data from a data warehouse, data mart, or centralized data store. Datamart is a subset of a data warehouse focused on a particular line of business, department, or subject area.

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

Actian

AUGUST 7, 2019

Over the past few years, we’ve seen an increasing trend of regional governments applying unique restrictions and controls on where data is stored and how it is managed for users and businesses in their jurisdiction. The EU and Japan have recently imposed some strict rules about data export. Data warehouses in the cloud.

Data Warehouse 40

Data Warehouse Data Mining Government Data Analytics 40

Actian

AUGUST 7, 2019

Over the past few years, we’ve seen an increasing trend of regional governments applying unique restrictions and controls on where data is stored and how it is managed for users and businesses in their jurisdiction. The EU and Japan have recently imposed some strict rules about data export. Data warehouses in the cloud.

Data Warehouse 8

Data Warehouse Data Mining Government Data Analytics 8