Astera

MAY 14, 2024

Data Provenance is vital in establishing data lineage, which is essential for validating, debugging, auditing, and evaluating data quality and determining data reliability. Data Lineage vs. Data Provenance Data provenance and data lineage are the distinct and complementary perspectives of data management.

Supply Chain 52

Supply Chain Data Quality Artificial Intelligence Cybersecurity 52

Dataversity

JANUARY 5, 2022

Disruption has been on an ongoing progressive cycle since the beginning of the digital era – but when the pandemic began in 2020, innovations began to progress at a record pace.

Innovation 130

Innovation Data Analytics Data Analytics Digital 130

Astera

MAY 14, 2024

This metadata variation ensures proper data interpretation by software programs. Process metadata: tracks data handling steps. It ensures data quality and reproducibility by documenting how the data was derived and transformed, including its origin. Types of metadata. Image by Astera.

Government 52

Government Data Governance Master Data Management Documentation 52

Smart Data Collective

AUGUST 21, 2019

Forrester recently named them as a leader in BI data analytics solutions. Companies Need to Understand the importance of choosing the right big data management provider. When you are looking for a big data solution , it is important to choose a platform that accounts for the risks highlighted below.

E-Commerce 169

E-Commerce Big Data Data Quality Data Management 169

Data Pine

NOVEMBER 27, 2019

Businesses of all sizes are no longer asking if they need increased access to business intelligence analytics but what is the best BI solution for their specific business. Companies are no longer wondering if data visualizations improve analyses but what is the best way to tell each data-story.

Business Intelligence 144

Business Intelligence Business Intelligence Artificial Intelligence Data Discovery 144

Insight Software

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

IBM Maintenance 52

IBM Maintenance Data Warehouse IBM Support Real-time Data 52

Astera

APRIL 7, 2023

Enterprise Data Architecture (EDA) is an extensive framework that defines how enterprises should organize, integrate, and store their data assets to achieve their business goals. At an enterprise level, an effective enterprise data architecture helps in standardizing the data management processes.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Astera

APRIL 7, 2023

Enterprise Data Architecture (EDA) is an extensive framework that defines how enterprises should organize, integrate, and store their data assets to achieve their business goals. At an enterprise level, an effective enterprise data architecture helps in standardizing the data management processes.

Data Architecture 52

Data Architecture Supply Chain Data Governance Data Quality 52

Astera

DECEMBER 21, 2022

A voluminous increase in unstructured data has made data management and data extraction challenging. The data needs to be converted into machine-readable formats for analysis. However, the growing importance of data-driven decisions has changed how managers make strategic choices.

Data Mining 52

Data Mining Documentation Data Quality Data Warehouse 52

Data Pine

JANUARY 24, 2021

In our cutthroat digital age, the importance of setting the right data analysis questions can define the overall success of a business. This genie (who we’ll call Data Dan) embodies the idea of a perfect data analytics platform through his magic powers. Now, with Data Dan, you only get to ask him three questions.

Data Visualization 126

Data Visualization Data Analytics Data Analytics Data Quality 126

Data Pine

DECEMBER 4, 2019

With more vendors each year that offer mobile solutions within their software, companies are also starting to implement mobile data management and 2020 will increase even more. That only proves how this is one of the analytics buzzwords that is going to continue its growth and market expansion. Augmented Analytics.

Business Intelligence 84

Business Intelligence Business Intelligence IBM Support IBM Maintenance 84

Actian

JULY 9, 2019

It makes sense in the era of digital-transformation initiatives that integration of IT systems and data sharing across companies have become high-priority strategic initiatives. Integration is great, but it raises a new set of issues about data quality, security and governance companies must now address.

Supply Chain 40

Supply Chain Digital Transformation Government Documentation 40

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