Remove Data Quality Remove Data Transformation Remove Demo Remove Metadata
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What is Data Lineage? Top 5 Benefits of Data Lineage

erwin

An understanding of the data’s origins and history helps answer questions about the origin of data in a Key Performance Indicator (KPI) reports, including: How the report tables and columns are defined in the metadata? Who are the data owners? What are the transformation rules? Data Governance.

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Top 6 Benefits of Automating End-to-End Data Lineage

erwin

Here are six benefits of automating end-to-end data lineage: Reduced Errors and Operational Costs. Data quality is crucial to every organization. Automated data capture can significantly reduce errors when compared to manual entry. Automating data capture frees up resources to focus on more strategic and useful tasks.

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Data Preparation and Data Mapping: The Glue Between Data Management and Data Governance to Accelerate Insights and Reduce Risks

erwin

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on. So questions linger about whether transformed data can be trusted.

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From Disparate Data to Visualized Knowledge Part I: Moving from Spreadsheets to an RDF Database

Ontotext

They’ve read some of the many available resources on the topic and seen Ontotext’s excellent product demos. OntoRefine is a data transformation tool that lets you unite plenty of data formats and get them into your triplestore. One of the core upsides of storing your data in that format is inference.

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Fabrics, Meshes & Stacks, oh my! Q&A with Sanjeev Mohan

Alation

We chatted about industry trends, why decentralization has become a hot topic in the data world, and how metadata drives many data-centric use cases. But, through it all, Mohan says it’s critical to view everything through the same lens: gaining business value from data. Data fabric is a technology architecture.

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The What & Why of Data Governance

erwin

In addition to drivers like digital transformation and compliance, it’s really important to look at the effect of poor data on enterprise efficiency/productivity. You can request a demo of erwin Data Intelligence here.

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Tackling AI’s data challenges with IBM databases on AWS

IBM Big Data Hub

Businesses face significant hurdles when preparing data for artificial intelligence (AI) applications. The existence of data silos and duplication, alongside apprehensions regarding data quality, presents a multifaceted environment for organizations to manage.