Business Analysis Knowledge Share

OCTOBER 24, 2023

Data Warehousing is the process of collecting, storing, and managing data from various sources into a central repository. This repository, often referred to as a data warehouse , is specifically designed for query and analysis. Data Sources Data Warehouses collect data from diverse sources within an organization.

IBM Maintenance 75

IBM Maintenance Data Warehouse IBM cost Data Quality 75

Astera

JANUARY 25, 2024

Reverse ETL (Extract, Transform, Load) is the process of moving data from central data warehouse to operational and analytic tools. How Does Reverse ETL Fit in Your Data Infrastructure Reverse ETL helps bridge the gap between central data warehouse and operational applications and systems.

E-Commerce 52

E-Commerce Data Warehouse Retail Customer Experience 52

Astera

NOVEMBER 30, 2023

With its foundation rooted in scalable hub-and-spoke architecture, Data Vault 1.0 provided a framework for traceable, auditable, and flexible data management in complex business environments. Building upon the strengths of its predecessor, Data Vault 2.0 Business Vault: This component of Data Vault 2.0 Data Vault 2.0

Data Warehouse 52

Data Warehouse Big Data Healthcare Data Governance 52

Astera

MARCH 20, 2024

The increasing digitization of business operations has led to the generation of massive amounts of data from various sources, such as customer interactions, transactions, social media, sensors, and more. This data, often referred to as big data, holds valuable insights that you can leverage to gain a competitive edge.

Data Management 52

Data Management Master Data Management Government Data Warehouse 52

Astera

MARCH 28, 2024

So, organizations create a data governance strategy for managing their data, and an important part of this strategy is building a data catalog. They enable organizations to efficiently manage data by facilitating discovery, lineage tracking, and governance enforcement.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Astera

APRIL 3, 2024

As important as it is to know what a data quality framework is, it’s equally important to understand what it isn’t: It’s not a standalone concept—the framework integrates with data governance, security, and integration practices to create a holistic data ecosystem.

Data Quality 52

Data Quality Data Governance Government Monitoring 52

Domo

OCTOBER 22, 2021

Even though technology transformation is enabling accelerated progress in data engineering, analytics deployment, and predictive modeling to drive business value, deploying a data strategy across cloud systems remains inefficient and cumbersome for CIOs. One of the key obstacles is data access.

Data Warehouse 52

Data Warehouse Embedded Analytics Government Digital Transformation 52

Astera

MAY 14, 2024

Metadata refers to the information about your data. This data includes elements representing its context, content, and characteristics. It helps you discover, access, use, store, and retrieve your data, having a wide spread of variations. What is metadata management? What is a metadata management framework (MMF)?

Government 52

Government Data Governance Master Data Management Documentation 52

Data Pine

SEPTEMBER 29, 2022

Reporting being part of an effective DQM, we will also go through some data quality metrics examples you can use to assess your efforts in the matter. But first, let’s define what data quality actually is. What is the definition of data quality? Why Do You Need Data Quality Management?

Data Quality 96

Data Quality Monitoring Big Data Government 96

Business Analysis Knowledge Share

OCTOBER 27, 2023

Enhanced Data Governance : Use Case Analysis promotes data governance by highlighting the importance of data quality , accuracy, and security in the context of specific use cases. This may involve data from internal systems, external sources, or third-party data providers.

Business Intelligence 52

Business Intelligence Business Intelligence Supply Chain Data Governance 52

Astera

JANUARY 1, 2024

This eBook is your guide to ensuring data quality across your organization for accurate BI and analytics. Free Download Data Governance and Data Quality When it comes to managing your data, two crucial aspects to keep in mind are data governance and data quality.

Data Quality 52

Data Quality Data Governance Government Data Warehouse 52

Astera

JANUARY 1, 2024

This eBook is your guide to ensuring data quality across your organization for accurate BI and analytics. Free Download Data Governance and Data Quality When it comes to managing your data, two crucial aspects to keep in mind are data governance and data quality.

Data Quality 52

Data Quality Data Governance Government Data Warehouse 52

Astera

JUNE 3, 2024

The right database for your organization will be the one that caters to its specific requirements, such as unstructured data management , accommodating large data volumes, fast data retrieval or better data relationship mapping. It’s a model of how your data will look. These are some of the most common databases.

Data Warehouse 52

Data Warehouse Documentation E-Commerce Data Management 52

Astera

AUGUST 12, 2024

Enhancing data governance and customer insights. According to a study by SAS , only 35% of organizations have a well-established data governance framework, and only 24% have a single, integrated view of customer data. This can help you identify and flag transactions that involve suspicious parties.

IBM Support 52

IBM Support Data Quality IBM Maintenance IBM cost 52

Astera

FEBRUARY 9, 2024

Enhancing data governance and customer insights. According to a study by SAS , only 35% of organizations have a well-established data governance framework, and only 24% have a single, integrated view of customer data. This can help you identify and flag transactions that involve suspicious parties.

IBM Support 52

IBM Support Data Quality IBM Maintenance IBM cost 52

Astera

DECEMBER 21, 2022

What is unified data? Unification of data is when fragmented data sources are merged into a single repository, known as a “data warehouse.” Unified data is related closely to the technical concept of a Single Source of Truth (or SSoT). There are many types of data repositories.

Data Management 52

Data Management Data Governance Government Data Warehouse 52

The BAWorld

NOVEMBER 22, 2021

Data analytics is the science of examining raw data to determine valuable insights and draw conclusions for creating better business outcomes. Data Cleaning. Uniqueness is a data quality dimension that refers to the singularity of records or attributes. For example, identifying any duplicates in the data sets.

Data Analytics 98

Data Analytics Data Analytics Data Warehouse Data Modelling 98

ElegantJ BI

JANUARY 4, 2018

Extract, Transform and Load (ETL) refers to a process of connecting to data sources, integrating data from various data sources, improving data quality, aggregating it and then storing it in staging data source or data marts or data warehouses for consumption of various business applications including BI, Analytics and Reporting.

Data Warehouse 130

Data Warehouse Data Governance Government Agile 130

ElegantJ BI

JANUARY 4, 2018

Extract, Transform and Load (ETL) refers to a process of connecting to data sources, integrating data from various data sources, improving data quality, aggregating it and then storing it in staging data source or data marts or data warehouses for consumption of various business applications including BI, Analytics and Reporting.

Data Warehouse 130

Data Warehouse Data Governance Government Agile 130

ElegantJ BI

JANUARY 4, 2018

Extract, Transform and Load (ETL) refers to a process of connecting to data sources, integrating data from various data sources, improving data quality, aggregating it and then storing it in staging data source or data marts or data warehouses for consumption of various business applications including BI, Analytics and Reporting.

Data Warehouse 130

Data Warehouse Data Governance Government Agile 130

Data Pine

FEBRUARY 22, 2022

A business intelligence strategy refers to the process of implementing a BI system in your company. This should also include creating a plan for data storage services. Are the data sources going to remain disparate? Or does building a data warehouse make sense for your organization? Define a budget.

Business Intelligence 87

Business Intelligence Business Intelligence Chief Data Officer Government 87

The BAWorld

OCTOBER 25, 2024

Overview This article presents an overview of the study of data warehousing integrating its underlying principles and major aspects. Focus of this article is to analyze data warehousing concepts and architecture alongside different types of data warehouses. Let’s start with basics concepts related to Data.

Data Warehouse 40

Data Warehouse Business Intelligence Business Intelligence E-Commerce 40

Insight Software

FEBRUARY 23, 2024

ETL is beneficial for larger data volumes and diverse sources, and may be necessary for data architects, developers, and administrators considering factors like volume, source diversity, accuracy, and efficiency. Data Migration Data migration refers to the process of transferring data from one location or format to another.

IBM Support 52

IBM Support IBM Maintenance Data Warehouse IBM cost 52