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

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. The data collected should be integrated into a centralized repository, often referred to as a data warehouse or data lake.

Business Intelligence 52

Business Intelligence Business Intelligence Supply Chain Data Governance 52

Tableau

MARCH 21, 2023

Data discovery and trust have been core principles of Tableau Catalog since its very inception. Learn about the latest features to help users find trusted data at the right time, so they can consume the data with confidence. We have also simplified how DQWs are displayed when viewing lineage in Tableau Catalog.

Data Discovery 97

Data Discovery Government Data Quality Data Governance 97

Astera

FEBRUARY 9, 2024

Financial data integration faces many challenges that hinder its effectiveness and efficiency in detecting and preventing fraud. Challenges of Financial Data Integration Data Quality and Availability Data quality and availability are crucial for any data integration project, especially for fraud detection.

IBM Support 52

IBM Support Data Quality IBM Maintenance Data Governance 52

Analysts Corner

MARCH 9, 2023

Asking computer science engineers to work on Excel can disappoint candidates who are looking forward to working on more sophisticated tools such as Tableau, Python, SQL, and other data quality and data visualisation tools. She is also publisher of “The Data Pub” newsletter on Substack. Why is Excel a double-edged sword?

Data Quality 130

Data Quality Data Analytics Data Analytics Skillset 130

Astera

JANUARY 15, 2024

Visual job development: You can visually design data pipelines using pre-built components. Live feedback and data previews: As you build pipelines, Matillion provides real-time feedback and data previews. Astera’s key features include: No-code data pipeline builder with a drag-and-drop UI.

Data Warehouse 52

Data Warehouse Real-time Data Data Quality Visualization 52

ElegantJ BI

SEPTEMBER 30, 2021

It acts as a bridge between data sources and provides a layer of data governance and data transformation in between the data sources. Suitable For: Large volumes of data, organizations that require good data governance and integration of data sources, use by IT, MIS, data scientists and business analysts.

Data Management 130

Data Management Data Warehouse Data Governance Government 130

ElegantJ BI

SEPTEMBER 30, 2021

It acts as a bridge between data sources and provides a layer of data governance and data transformation in between the data sources. Suitable For: Large volumes of data, organizations that require good data governance and integration of data sources, use by IT, MIS, data scientists and business analysts.

Data Management 130

Data Management Data Warehouse Data Governance Government 130

ElegantJ BI

SEPTEMBER 30, 2021

It acts as a bridge between data sources and provides a layer of data governance and data transformation in between the data sources. Suitable For: Large volumes of data, organizations that require good data governance and integration of data sources, use by IT, MIS, data scientists and business analysts.

Data Management 130

Data Management Data Warehouse Data Governance Government 130

Business Analysis Knowledge Share

OCTOBER 24, 2023

Data is typically organized into tables and dimensions, making it easy for Business Analysts to access and analyze. Business Intelligence Tools Business Analysts rely on Business Intelligence (BI) tools to access, query, and visualize data stored in the warehouse. Data Quality Data quality is crucial for reliable analysis.

IBM Maintenance 73

IBM Maintenance Data Warehouse IBM cost Data Quality 73

ElegantJ BI

JUNE 13, 2019

Self-Service Data Prep empowers every business user and allows them to prepare data for their analytics using tools that enable data extraction transformation and loading (ETL) so users can quickly move data into the analytics system without waiting for IT or data scientists.

Data Governance 130

Data Governance Data Quality Government Data Analytics 130

ElegantJ BI

JUNE 13, 2019

Self-Service Data Prep empowers every business user and allows them to prepare data for their analytics using tools that enable data extraction transformation and loading (ETL) so users can quickly move data into the analytics system without waiting for IT or data scientists.

Data Governance 130

Data Governance Data Quality Government Data Analytics 130

ElegantJ BI

JUNE 13, 2019

Reduce the time to prepare data for analysis. Engender social BI and data popularity. Balance agility with data governance and data quality. So, why wouldn’t your organization want to implement Data Preparation Software that is easy enough for every business user?

Data Governance 130

Data Governance Data Quality Government Data Analytics 130

Astera

NOVEMBER 27, 2023

Clean and accurate data is the foundation of an organization’s decision-making processes. However, studies reveal that only 3% of the data in an organization meets basic data quality standards, making it necessary to prepare data effectively before analysis. This is where data profiling comes into play.

Data Mining 52

Data Mining Data Quality Data Governance Business Intelligence 52

Business Analysis Knowledge Share

MARCH 15, 2023

Business Intelligence Tools Business intelligence (BI) tools are software applications that are used to analyze data in a data warehouse. BI tools provide a range of functionality, including data visualization, dashboarding, and reporting. Poor data quality can lead to inaccurate analysis and flawed decision making.

Big Data 52

Big Data Data Analytics Data Analytics Data Warehouse 52

Astera

APRIL 23, 2024

This user-friendly interface streamlines complex data processes such as extraction , integration, and migration. Segmentation & Simplification of Data Astera’s no-code approach allows universities to segment and analyze student data visually. Its data profiling capabilities identify and correct inconsistencies.

Government 40

Government Planning Data Governance Data Management 40

Domo

APRIL 28, 2022

Maintaining high-quality, error-free data. Many business teams do not have a clear understanding of who is responsible for maintaining data quality. And should duplicate data or errors be found, many do not know where to report quality issues. Managing permissions, access, and governance at scale.

Government 98

Government Big Data Data Governance Customer Experience 98

Domo

MAY 31, 2021

They recognize that by giving users data-exploration capabilities, companies can achieve: Improved data quality/accuracy for decision-making Increased confidence in data security and compliance Greater efficiency Broader data access Improved ability to collaborate. Getting started with self-service.

Pharmaceutical 98

Pharmaceutical Logistics Government Data Governance 98

Astera

APRIL 24, 2024

Enterprise-Grade Integration Engine : Offers comprehensive tools for integrating diverse data sources and native connectors for easy mapping. Interactive, Automated Data Preparation : Ensures data quality using data health monitors, interactive grids, and robust quality checks.

IBM Support 52

IBM Support IBM Maintenance IBM cost E-Commerce 52

Astera

FEBRUARY 28, 2024

They’re the interactive elements, letting users not just see the data but also analyze and visualize it in their own unique way. Best Practices for Data Warehouses Adopting data warehousing best practices tailored to your specific business requirements should be a key component of your overall data warehouse strategy.

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

OCTOBER 10, 2023

Data mapping is the process of defining how data elements in one system or format correspond to those in another. Data mapping tools have emerged as a powerful solution to help organizations make sense of their data, facilitating data integration , improving data quality, and enhancing decision-making processes.

IBM Maintenance 52

IBM Maintenance IBM Support IBM cost Data Quality 52

Astera

OCTOBER 12, 2023

The platform also allows you to implement rigorous data validation checks and customize rules based on your specific requirements. Furthermore, by providing real-time data health checks, the platform provides instant feedback on the data quality, enabling you to keep track of changes.

Data Quality 52

Data Quality Monitoring Real-time Data Government 52

Astera

FEBRUARY 27, 2024

We’re talking about query and reporting tools, online analytical processing (OLAP) tools, data mining tools, and dashboards. They’re the interactive elements, letting users not just see the data but also analyze and visualize it in their own unique way. How Does a Data Warehouse Work?

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Astera

FEBRUARY 27, 2024

We’re talking about query and reporting tools, online analytical processing (OLAP) tools, data mining tools, and dashboards. They’re the interactive elements, letting users not just see the data but also analyze and visualize it in their own unique way. How Does a Data Warehouse Work?

Data Warehouse 52

Data Warehouse Cloud Computing Data Quality Monitoring 52

Tableau

MARCH 21, 2023

Data discovery and trust have been core principles of Tableau Catalog since its very inception. Learn about the latest features to help users find trusted data at the right time, so they can consume the data with confidence. We have also simplified how DQWs are displayed when viewing lineage in Tableau Catalog.

Data Discovery 52

Data Discovery Government Data Quality Data Governance 52

Astera

JANUARY 23, 2024

Analytics teams can also visualize these insights by leveraging reporting and visualization tools, such as dashboards, charts, or graphs. Why are Data Vaults and Information Marts Crucial in the BI Ecosystem? Data vault uses a hub and spoke architecture to simplify the intricacies of data integration and storage.

Agile 52

Agile Data Warehouse Data Quality Government 52

ElegantJ BI

SEPTEMBER 15, 2017

One of the crucial success factors for advanced analytics is to ensure that your data is clean and clear and that your users have a good understanding of the source of the data so that they can put results in perspective.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

ElegantJ BI

SEPTEMBER 15, 2017

One of the crucial success factors for advanced analytics is to ensure that your data is clean and clear and that your users have a good understanding of the source of the data so that they can put results in perspective.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

ElegantJ BI

SEPTEMBER 15, 2017

One of the crucial success factors for advanced analytics is to ensure that your data is clean and clear and that your users have a good understanding of the source of the data so that they can put results in perspective. Data Governance and Self-Serve Analytics Go Hand in Hand.

Data Governance 130

Data Governance Data Discovery Government Data Analytics 130

Astera

FEBRUARY 16, 2024

For instance, you can use the Pandas library to create and manipulate DataFrames, the NumPy library to perform numerical computations, the SciPy library to apply scientific and statistical functions, and the Matplotlib library to generate and display data visualizations. Data Quality Provides advanced data profiling and quality rules.

Data Warehouse 52

Data Warehouse Monitoring Data Quality Government 52

Astera

JANUARY 18, 2024

As far as the destinations are concerned, Fivetran supports data warehouses and databases, but it doesn’t support most data lakes. It also offers limited data transformation capabilities and that too through dbt core, which is an open source tool. Change data capture (CDC) for all relational databases in one platform.

Data Warehouse 52

Data Warehouse Data Quality Data Management Government 52

Domo

JULY 8, 2021

Then there are: the vendors who provide the tools you need to create applications such as operating systems; and the SaaS applications you need to provide business value including business intelligence and data visualization tools. A third thing you should consider is how providers align with your data governance models.

Data Governance 52

Data Governance Government Embedded Analytics Data Warehouse 52

ElegantJ BI

SEPTEMBER 6, 2019

Rather than preparing data at the central meta-data layer, and restricting what business users can do and see, these IT enabled (NOT IT controlled), self-serve data preparation and business intelligence tools and features put meaningful views of data in the hands of business users.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Government 130

ElegantJ BI

SEPTEMBER 6, 2019

Rather than preparing data at the central meta-data layer, and restricting what business users can do and see, these IT enabled (NOT IT controlled), self-serve data preparation and business intelligence tools and features put meaningful views of data in the hands of business users.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Government 130

ElegantJ BI

SEPTEMBER 6, 2019

IT enabled (NOT IT controlled), self-serve data preparation and business intelligence tools and features put meaningful views of data in the hands of business users. Self-Serve Data Prep in Action.

Data Discovery 130

Data Discovery Business Intelligence Business Intelligence Government 130

Astera

JUNE 6, 2023

How to Build ETL Architectures To build ETL architectures, the following steps can be followed, Requirements Analysis: Analyse data sources, considering scalability, data quality, and compliance requirements. Data transformation is another critical aspect that involves cleansing, validation, and standardization.

Data Quality 52

Data Quality Monitoring Data Warehouse Data Security 52

Dataversity

JUNE 28, 2021

Humans process visual data far more quickly and effectively than other ways of presenting information. The need for visual data, which speaks for thousands of words, has sparked the emergence of interactive dashboards. Click to learn more about author Ashok Sharma.

Visualization 130

Visualization Data Quality Data Governance Data Visualization 130