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

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

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

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.

Agile 52

Agile Data Warehouse Data Quality Government 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

Marutitech

JANUARY 21, 2022

One of the essential tasks of data science management is ensuring and maintaining the highest possible data quality standards. Companies worldwide follow various approaches to deal with the process of data mining. . The CRISP-DM methodology is as follows: Business Understanding.

Project Management 113

Project Management Data Mining Data Analytics Data Analytics 113

The BAWorld

NOVEMBER 26, 2021

Open-minded exploration of data will provide valuable information. Anyone working with data from researchers, analysts, business intelligence professionals, and others will spend most of their time on EDA by following exploratory data analysis steps. Get insights into the data summary.

Data Mining 52

Data Mining Data Quality Visualization Planning 52

The BAWorld

NOVEMBER 26, 2021

Open-minded exploration of data will provide valuable information. Anyone working with data from researchers, analysts, business intelligence professionals, and others will spend most of their time on EDA by following exploratory data analysis steps. Get insights into the data summary.

Data Mining 52

Data Mining Data Quality Visualization Planning 52

Astera

JUNE 14, 2023

Analytics layer: This is where all the consolidated data is stored for further analysis, reporting, and visualization. This layer typically includes tools for data warehousing, data mining, and business intelligence, as well as advanced analytics and machine learning capabilities.

Data Mining 52

Data Mining Monitoring Data Quality Data Automation 52

Astera

AUGUST 5, 2024

Through these steps, business analytics helps organizations leverage data effectively, empowering stakeholders to make informed decisions and achieve sustainable growth. Business Analytics is a specialized part of BI that goes beyond historical analysis. ” to understand current trends and predict future outcomes.

Supply Chain 40

Supply Chain Logistics Visualization Predictive Analytics 40

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

Data Pine

NOVEMBER 27, 2019

Over the past decade, business intelligence has been revolutionized. 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.

Business Intelligence 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144

Astera

AUGUST 28, 2024

What are data analysis tools? Data analysis tools are software solutions, applications, and platforms that simplify and accelerate the process of analyzing large amounts of data. They enable business intelligence (BI), analytics, data visualization , and reporting for businesses so they can make important decisions timely.

IBM Support 40

IBM Support IBM Maintenance IBM cost Data Mining 40

Insight Software

MAY 9, 2024

Data pipelines are designed to automate the flow of data, enabling efficient and reliable data movement for various purposes, such as data analytics, reporting, or integration with other systems. There are many types of data pipelines, and all of them include extract, transform, load (ETL) to some extent.

IBM Maintenance 52

IBM Maintenance Data Warehouse IBM Support Real-time Data 52