Astera

AUGUST 8, 2023

What matters is how accurate, complete and reliable that data. Data quality is not just a minor detail; it is the foundation upon which organizations make informed decisions, formulate effective strategies, and gain a competitive edge. to help clean, transform, and integrate your data.

Data Quality 52

Data Quality IBM Support IBM Maintenance Monitoring 52

Actian

JUNE 10, 2019

One of the biggest pieces of feedback from data users (both data professionals and business consumers) is that they know the data they seek exists, but as enterprise data increases, it is becoming increasingly difficult to find that data.

Data Management 40

Data Management Data Warehouse Big Data Data Governance 40

Smart Data Collective

FEBRUARY 23, 2021

Here are some common big data mistakes you must avoid to ensure that your campaigns aren’t affected. Ignoring Data Quality. One of the biggest big data mistakes that you can make as a marketer is that of ignoring the quality of your data. It would also go against the entire point of using data for marketing.

Big Data 291

Big Data Data Quality Data Visualization Data Architecture 291

Astera

MAY 6, 2024

Financial category is not easily segregated/tagged. Best For: Businesses that need to process large volumes of data quickly and easily integrate their data mining models with other platforms. Data quality is a priority for Astera. Lastly, data pipelines prioritize maintaining high data quality.

Data Mining 52

Data Mining Supply Chain Data Quality Visualization 52

Astera

MARCH 28, 2024

It facilitates data discovery and exploration by enabling users to easily search and explore available data assets. Additionally, data catalogs include features such as data lineage tracking and governance capabilities to ensure data quality and compliance.

Data Governance 52

Data Governance Government Data Discovery Data Quality 52

Astera

MARCH 11, 2024

Transformation Capabilities: Some tools offer powerful transformation capabilities, including visual data mapping and transformation logic, which can be more intuitive than coding SQL transformations manually. Transform and shape your data according to your business needs using pre-built transformations and functions without writing any code.

Data Warehouse 52

Data Warehouse Documentation Monitoring Data Quality 52

Astera

FEBRUARY 27, 2024

Data Layer The data layer enables APIs to supply and share data while maintaining data quality, ensuring security, and facilitating scalability for diverse applications and services. One study discovered that a data layer can elevate data quality by up to 50%, primarily by eliminating data discrepancies and errors.

Documentation 52

Documentation Monitoring E-Commerce Government 52

Astera

DECEMBER 28, 2023

Transform and shape your data the way your business needs it using pre-built transformations and functions. Ensure only healthy data makes it to your data warehouses via built-in data quality management. Automate and orchestrate your data integration workflows seamlessly.

IBM cost 52

IBM cost IBM Support IBM Maintenance Data Warehouse 52

Astera

DECEMBER 28, 2023

Transform and shape your data the way your business needs it using pre-built transformations and functions. Ensure only healthy data makes it to your data warehouses via built-in data quality management. Automate and orchestrate your data integration workflows seamlessly.

IBM cost 52

IBM cost IBM Support IBM Maintenance Data Warehouse 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

ElegantJ BI

MARCH 19, 2021

So, there is definitely a need to provide both approaches in data analysis. Create a balance between data quality and data popularity to provide your organization and business users with the best of both worlds. Original Post : Data Agility and ‘Popularity’​ vs. Data Quality in Self-Serve BI and Analytics!

Data Quality 130

Data Quality Agile Business Intelligence Business Intelligence 130

ElegantJ BI

MARCH 19, 2021

So, there is definitely a need to provide both approaches in data analysis. Create a balance between data quality and data popularity to provide your organization and business users with the best of both worlds. Original Post : Data Agility and ‘Popularity’? vs. Data Quality in Self-Serve BI and Analytics!

Data Quality 130

Data Quality Agile Business Intelligence Business Intelligence 130

ElegantJ BI

MARCH 19, 2021

So, there is definitely a need to provide both approaches in data analysis. Create a balance between data quality and data popularity to provide your organization and business users with the best of both worlds. Original Post : Data Agility and ‘Popularity’? vs. Data Quality in Self-Serve BI and Analytics!

Data Quality 130

Data Quality Agile Business Intelligence Business Intelligence 130

MindsMapped

JULY 18, 2020

Define a mechanism and approach for maintaining traceability of requirements Encourages team members in the identification of new opportunities to specialize and drive knowledge sharing.

Business Analysis 46

Business Analysis Business Analysis Requirements Gathering Documentation 46

Actian

JUNE 4, 2019

Data Migration – If you are replacing an existing data warehouse or consolidating data from your current databases, then you will need to migrate data from the old systems into the new warehouse. The migration itself isn’t difficult, but this is often when you discover data quality issues that must be addressed.

Data Warehouse 40

Data Warehouse Digital Transformation Data Quality Data Modelling 40

ElegantJ BI

MARCH 11, 2020

Data agility is crucial in this fast-paced business world. What good is data if is buried, scattered or out-of-date? If you could balance data agility with data governance and data quality, how great would that be?

Data Governance 130

Data Governance Government Data Security Agile 130

ElegantJ BI

MARCH 11, 2020

Data agility is crucial in this fast-paced business world. What good is data if is buried, scattered or out-of-date? If you could balance data agility with data governance and data quality, how great would that be?

Data Governance 130

Data Governance Government Data Security Agile 130

ElegantJ BI

MARCH 11, 2020

Data agility is crucial in this fast-paced business world. What good is data if is buried, scattered or out-of-date? If you could balance data agility with data governance and data quality, how great would that be?

Data Governance 130

Data Governance Government Data Security Agile 130

Astera

APRIL 23, 2024

Improved Data Access with Tags Astera incorporates tags alongside the business glossary. Tags improve categorization and make data retrieval easier and more accessible. With this feature, universities can speed up enrollment by generating data reports on student enrollment trends without IT expertise.

Government 40

Government Planning Data Governance Data Management 40

Insight Software

MARCH 4, 2024

What is the best way to collect the data required for CSRD disclosure? The best way to collect the data required for CSRD disclosure is to use a system that can automate and streamline the data collection process, ensure the data quality and consistency, and facilitate the data analysis and reporting.

IBM Support 52

IBM Support IBM Maintenance Supply Chain IBM cost 52

Insight Software

MAY 16, 2022

XBRL Tagging. You’ll be able to use a single reporting and tagging solution. This means real-time validation on XBRL documents to instantly flag any errors to improve overall quality in first and subsequent filings. You’ll also be able to manage taxonomy see a side-by-side comparison of your initial document and your XBRL tags.

IBM Maintenance 52

IBM Maintenance IBM Support Finance Documentation 52

Insight Software

MARCH 4, 2024

Moving data across siloed systems is time-consuming and prone to errors, hurting data quality and reliability. You can seamlessly tag and file your ESG information in this machine-readable format, fostering transparency and comparability for investors and regulators.

Supply Chain 52

Supply Chain IBM Maintenance IBM Support IBM Expert 52