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. . Lastly, perform the data visualization to identify significant trends and patterns of your data.

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. Everyone has to manage raw data at one point or another; yet, not everybody stores it in a way that’s useful for further analysis or comparison to other data sets.

Documentation 245

Documentation Data Visualization Data Mining Data Warehouse 245

BizAcuity

APRIL 1, 2023

Several large organizations have faltered on different stages of BI implementation, from poor data quality to the inability to scale due to larger volumes of data and extremely complex BI architecture. Without a strong BI infrastructure, it can be difficult to effectively collect, store, and analyze data.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Mining 130

BizAcuity

JANUARY 31, 2023

Several large organizations have faltered on different stages of BI implementation, from poor data quality to the inability to scale due to larger volumes of data and extremely complex BI architecture. Without a strong BI infrastructure, it can be difficult to effectively collect, store, and analyze data.

Business Intelligence 130

Business Intelligence Business Intelligence Data Warehouse Data Mining 130

Astera

FEBRUARY 27, 2024

Data access tools : Data access tools let you dive into the data warehouse and data marts. We’re talking about query and reporting tools, online analytical processing (OLAP) tools, data mining tools, and dashboards. How Does a Data Warehouse Work? Why Do Businesses Need a Data Warehouse?

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

FEBRUARY 27, 2024

Data access tools : Data access tools let you dive into the data warehouse and data marts. We’re talking about query and reporting tools, online analytical processing (OLAP) tools, data mining tools, and dashboards. How Does a Data Warehouse Work? Why Do Businesses Need a Data Warehouse?

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

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 26, 2021

The objective of EDA is to “understand” the data as follows: Confirm if the data is making sense in the context of the business problem. Get insights into the data summary. Understand patterns and correlations between data variables. Uncover and resolve data quality issues. Exploratory Data Analysis Steps.

Data Mining 52

Data Mining Data Quality Visualization Planning 52

The BAWorld

NOVEMBER 26, 2021

The objective of EDA is to “understand” the data as follows: Confirm if the data is making sense in the context of the business problem. Get insights into the data summary. Understand patterns and correlations between data variables. Uncover and resolve data quality issues. Exploratory Data Analysis Steps.

Data Mining 52

Data Mining Data Quality Visualization Planning 52

The BAWorld

NOVEMBER 22, 2021

Completeness is a data quality dimension and measures the existence of required data attributes in the source in data analytics terms, checks that the data includes what is expected and nothing is missing. Consistency is a data quality dimension and tells us how reliable the data is in data analytics terms.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

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

GAVS Technology

JUNE 2, 2021

A data lake is a centralized repository that allows you to store all your structured and unstructured data at any scale. Data Fabric Players. At the time of writing this article, there are no ratings from Gartner in the form of magic quadrant for Data Fabric Platforms.

Healthcare 52

Healthcare Data Governance Government Data Mining 52

Astera

JUNE 14, 2023

This layer is critical for ensuring data consistency, accuracy, and timeliness across multiple sources. Analytics layer: This is where all the consolidated data is stored for further analysis, reporting, and visualization. Other data integration architecture components include servers and interfaces.

Data Mining 52

Data Mining Monitoring Data Quality Data Automation 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

Data Pine

NOVEMBER 27, 2019

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. 1) Data Quality Management (DQM). We all gained access to the cloud.

Business Intelligence 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144

Insight Software

MAY 9, 2024

Real-Time Analytics Pipelines : These pipelines process and analyze data in real-time or near-real-time to support decision-making in applications such as fraud detection, monitoring IoT devices, and providing personalized recommendations. For example, migrating customer data from an on-premises database to a cloud-based CRM system.

IBM Maintenance 52

IBM Maintenance Data Warehouse IBM Support Real-time Data 52