erwin

SEPTEMBER 17, 2020

Regulatory compliance places greater transparency demands on firms when it comes to tracing and auditing data. Business terms and data policies should be implemented through standardized and documented business rules. Automating data capture frees up resources to focus on more strategic and useful tasks.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

CIO Business Intelligence

AUGUST 3, 2023

But reaching all these goals, as well as using enterprise data for generative AI to streamline the business and develop new services, requires a proper foundation. “You Using the metadata-driven Cinchy Data Collaboration Platform reduced a typical modeling and integration effort from 18 months to six weeks, he says.

Analytics 98

Analytics Data Lake Metadata Cost-Benefit 98

Alation

OCTOBER 26, 2021

Although operations and sales departments tend to champion the use of data for business insight 3 , we’ve found that finance departments are often the first adopters of the Alation Data Catalog within an organization. This is because accurate data is “table stakes” for finance teams.

Finance 52

Finance Data Transformation Enterprise Metrics 52

CIO Business Intelligence

FEBRUARY 20, 2024

In this way, manufacturers would be able to reduce risk, increase resilience and agility, boost productivity, and minimise their environmental footprint. The data transformation imperative What Denso and other industry leaders realise is that for IT-OT convergence to be realised, and the benefits of AI unlocked, data transformation is vital.

Data Architecture 98

Data Architecture Unstructured Data Manufacturing IT 98

erwin

MARCH 4, 2021

Modern data governance is a strategic, ongoing and collaborative practice that enables organizations to discover and track their data, understand what it means within a business context, and maximize its security, quality and value.

Data Governance 122

Data Governance Digital Transformation Data-driven Cost-Benefit 122

erwin

JANUARY 11, 2019

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. And there’s control of that landscape to facilitate insight and collaboration and limit risk.

Data Governance 40

Data Governance Risk Metadata Management 40

Octopai

NOVEMBER 23, 2020

In fact, the LIBOR transition program marks one of the largest data transformation obstacles ever seen in financial services. Building an inventory of what will be affected is a huge undertaking across all of the data, reports, and structures that must be accounted for. Automated Data Lineage for Your LIBOR Project.

Metadata 72

Metadata Enterprise Business Intelligence Data Governance 72

IBM Big Data Hub

JANUARY 9, 2024

Companies still often accept the risk of using internal data when exploring large language models (LLMs) because this contextual data is what enables LLMs to change from general-purpose to domain-specific knowledge. This may also entail working with new data through methods like web scraping or uploading.

Enterprise 71

Enterprise Data Integration Data Quality Contextual Data 71

AWS Big Data

APRIL 12, 2023

Metadata store – We use Spark’s in-memory data catalog to store metadata for TPC-DS databases and tables— spark.sql.catalogImplementation is set to the default value in-memory. About the Authors Melody Yang is a Senior Big Data Solution Architect for Amazon EMR at AWS. test: EMR release – EMR 6.10.0

Testing 85

Testing Big Data Metadata Optimization 85

Octopai

JANUARY 19, 2021

This is done by visualizing the Azure Data Factory pipelines’ full column-level with source-to-target traceability through different data transformations at the most detailed level. Octopai can fully map the BI landscape and trace metadata movement in a mixed environment including complex multi-vendor landscapes.

Metadata 52

Metadata ROI Machine Learning Data Quality 52

erwin

APRIL 16, 2024

In this blog, we’ll delve into the critical role of governance and data modeling tools in supporting a seamless data mesh implementation and explore how erwin tools can be used in that role. erwin also provides data governance, metadata management and data lineage software called erwin Data Intelligence by Quest.

Metadata 52

Metadata Data Quality Data Governance Modeling 52

Alation

NOVEMBER 22, 2022

When using a data governance tool, like a data catalog , entities can find deprecated or outdated data, which is not fit for wider consumption or analysis. With data governance, public sector entities mitigate fraud risk by aggregating data across registers to ensure consistency. Reuse metadata productively.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52

AWS Big Data

OCTOBER 11, 2023

This is due to the complexity of the JSON structure, contracts, and the risk evaluation process on the payor side. Due to this low complexity, the solution uses AWS serverless services to ingest the data, transform it, and make it available for analytics. The Data Catalog now contains references to the machine-readable data.

Visualization 110

Visualization Dashboards Data-driven Gap analysis 110

IBM Big Data Hub

MARCH 14, 2024

This involves unifying and sharing a single copy of data and metadata across IBM® watsonx.data ™, IBM® Db2 ®, IBM® Db2® Warehouse and IBM® Netezza ®, using native integrations and supporting open formats, all without the need for migration or recataloging.

Cost-Benefit 75

Cost-Benefit Metadata Optimization Management 75

Alation

MARCH 22, 2022

So, how can you quickly take advantage of the DataOps opportunity while avoiding the risk and costs of DIY? More specifically, IDF has been integrated with Alation at an API level; this means that all generated pipeline code, metadata attributes, configuration files, and lineage are automatically synced (representing a huge time savings).

Metadata 52

Metadata Cost-Benefit Data Quality Data Lake 52

Octopai

JUNE 9, 2024

The inability to trace data lineage accurately made it difficult to demonstrate compliance during audits. This situation posed legal risks and threatened the organization’s reputation. The lack of trust in data created inertia. This is where Octopai excels.

IT 52

IT Data-driven Predictive Analytics Data Strategy 52

Octopai

DECEMBER 11, 2022

Banks didn’t accurately assess their credit and operational risk and hold enough capital reserves, leading to the Great Recession of 2008-2009. Let’s take a look at several regulatory standards and explore automated data lineage’s role in smoothing and improving data compliance. Data lineage and financial risk data compliance.

Insurance 52

Insurance Risk Metadata Visualization 52

AWS Big Data

JULY 20, 2023

Orca Security is an industry-leading Cloud Security Platform that identifies, prioritizes, and remediates security risks and compliance issues across your AWS Cloud estate. This ensures that the data is suitable for training purposes. Additionally, SageMaker training jobs are employed for training the models.

Data Lake 93

Data Lake Analytics Snapshot Data Quality 93

AWS Big Data

DECEMBER 21, 2023

To ingest the data, smava uses a set of popular third-party customer data platforms complemented by custom scripts. After the data lands in Amazon S3, smava uses the AWS Glue Data Catalog and crawlers to automatically catalog the available data, capture the metadata, and provide an interface that allows querying all data assets.

Data Lake 103

Data Lake Data Warehouse Data-driven B2B 103

Jet Global

FEBRUARY 23, 2024

This field guide to data mapping will explore how data mapping connects volumes of data for enhanced decision-making. Why Data Mapping is Important Data mapping is a critical element of any data management initiative, such as data integration, data migration, data transformation, data warehousing, or automation.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Visualization 52

Jet Global

MAY 1, 2023

CEO Priorities Grow revenue and “hit the number” Manage costs and meet profitability goals Attract and retain talent Innovate and out-perform the competition Manage risk Connect the Dots Present embedded analytics as a way to differentiate from the competition and increase revenue. Present your business case. addresses).

Analytics 52

Analytics Cost-Benefit Visualization Dashboards 52