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. “Data is what you need to do analytics. click for book source**.

Business Intelligence 117

Business Intelligence Business Intelligence Big Data Data Mining 117

Data Pine

JANUARY 24, 2021

This can include a multitude of processes, like data profiling, data quality management, or data cleaning, but we will focus on tips and questions to ask when analyzing data to gain the most cost-effective solution for an effective business strategy. 4) How can you ensure data quality?

Data Visualization 126

Data Visualization Data Analytics Data Analytics Data Quality 126

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

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 248

Documentation Data Visualization Data Mining Data Warehouse 248

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

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 IBM Maintenance 105

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

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

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

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

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