erwin

JUNE 17, 2021

erwin by Quest just released the “ 2021 State of Data Governance and Empowerment” report. This past year also saw a major shift as the silos between data governance, data operations and data protection diminished, with enterprises seeking to understand their data and the systems they use and secure to empower smarter decision-making.

Data Governance 59

Data Governance Data Quality Snapshot Reporting 59

CIO Business Intelligence

APRIL 1, 2024

The research cited a lack of talent and skills to work with the technology (62%), unclear AI and GenAI investment priorities (47%), and the absence of a strategy for responsible AI (41%) as the top three obstacles. Reach consensus on strategy. Ensure that data is cleansed, consistent, and centrally stored, ideally in a data lake.

Data Lake 124

Data Lake Consulting Uncertainty Risk 124

erwin

JULY 17, 2019

Having a clearly defined digital transformation strategy is an essential best practice for successful digital transformation. But what makes a viable digital transformation strategy? Constructing A Digital Transformation Strategy: Data Enablement. With automation, data quality is systemically assured.

Digital Transformation 98

Digital Transformation Strategy Metadata Data-driven 98

erwin

FEBRUARY 6, 2020

As organizations deal with managing ever more data, the need to automate data management becomes clear. Last week erwin issued its 2020 State of Data Governance and Automation (DGA) Report. One piece of the research that stuck with me is that 70% of respondents spend 10 or more hours per week on data-related activities.

Management 144

Management Data Governance Cost-Benefit Metadata 144

CIO Business Intelligence

NOVEMBER 21, 2023

That’s where an IT strategy that frames shadow IT as an opportunity for improved collaboration can have a profound impact. Set parameters and emphasize collaboration To address one root cause of shadow IT, CIOs must also establish a governance and delivery model for evaluating, procuring, and implementing department technology solutions.

IT 131

IT Risk Cost-Benefit Risk Management 131

Octopai

MAY 15, 2023

By analyzing this information, organizations can optimize their infrastructure and storage strategies, avoiding unnecessary storage costs and efficiently allocating resources based on data usage patterns. Optimize data storage: Data lineage helps you understand which datasets are frequently accessed and which ones are seldom used.

Data Quality 52

Data Quality Data Governance Data Integration Risk 52

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. But the attempts to standardize data across the entire enterprise haven’t produced the desired results.

Data Governance 40

Data Governance Risk Metadata Management 40

erwin

JANUARY 17, 2020

In the modern context, data modeling is a function of data governance. While data modeling has always been the best way to understand complex data sources and automate design standards, modern data modeling goes well beyond these domains to accelerate and ensure the overall success of data governance in any organization.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

erwin

FEBRUARY 19, 2021

It involves establishing policies and processes to ensure information can be integrated, accessed, shared, linked, analyzed and maintained across an organization. Automated enterprise metadata management provides greater accuracy and up to 70 percent acceleration in project delivery for data movement and/or deployment projects.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. Managing metadata should not be a sub-goal of data governance. Quite simply, metadata is data about data.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

Alation

JUNE 2, 2022

In part one of this series, I discussed how data management challenges have evolved and how data governance and security have to play in such challenges, with an eye to cloud migration and drift over time. Data management is not yet a solved problem, but modern data management is leagues ahead of prior approaches.

Modeling 52

Modeling Data Governance Statistics Unstructured Data 52

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. Managing metadata should not be a sub-goal of data governance. Quite simply, metadata is data about data.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

Andrew White

NOVEMBER 14, 2022

How is it that trying to be aware of all your data is the first step to working out what data (or analytic) actually needs to be governed first? Catalog are useful in a small number of data governance programs only. By documenting an organizations data issues. Or second and tenth? Maybe much later.

Data Integration 52

Data Integration Technology Data Governance Analytics 52

Jet Global

MARCH 14, 2024

Jet streamlines many aspects of data administration, greatly improving data solutions built on Microsoft Fabric. It enhances analytics capabilities, streamlines migration, and enhances data integration. Through Jet’s integration with Fabric, your organization can better handle, process, and use your data.

Analytics 52

Analytics Management Reporting Enterprise 52

Jet Global

FEBRUARY 23, 2024

Data mapping is essential for integration, migration, and transformation of different data sets; it allows you to improve your data quality by preventing duplications and redundancies in your data fields. Data mapping helps standardize, visualize, and understand data across different systems and applications.

Data Warehouse 52

Data Warehouse Reporting Data Transformation Sales 52

Peter James Thomas

SEPTEMBER 19, 2018

The peterjamesthomas.com Data and Analytics Dictionary is an active document and I will continue to issue revised versions of it periodically. Data Asset. Data Audit. Data Classification. Data Consistency. Data Controls. Data Curation (contributor: Tenny Thomas Soman ). Data Democratisation.

Analytics 45

Analytics Testing Data Strategy Data Integration 45

Ontotext

MARCH 8, 2023

However, this information is typically stored in disparate locations, often hidden within departmental documents or applications. As such, data governance strategies that are leveraging knowledge graph solutions have increased data accessibility and improved data quality and observability at scale.

Enterprise 52

Enterprise Knowledge Discovery Risk Data-driven 52

Domino Data Lab

APRIL 3, 2019

Paco Nathan ‘s latest column dives into data governance. This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

CIO Business Intelligence

FEBRUARY 20, 2023

A candidate who earns the certification will have proved their ability to build bundle configurations, pricing, output documents, and renewals and amendments. The Salesforce Strategy Designer Certification validates candidates’ ability to design systems-level solutions toward desired business and user outcomes.

Consulting 61

Consulting B2B Cost-Benefit Sales 61

Andrew White

JANUARY 9, 2022

To drive a successful Data Analytics strategy do you think it is a multidisciplinary activity and if so, what additional roles would you expect to see involved. – A D&A leader of CDO or whoever will lead the development of the D&A strategy will of necessity work with business executives. – Yes and no.

Analytics 64

Analytics Measurement Modeling Data-driven 64

CIO Business Intelligence

AUGUST 16, 2023

Many companies start out with OpenAI, says Sreekar Krishna, managing director for data and analytics at KPMG. Most of the institutions I’m working with are not taking a single vendor strategy,” he says. But Databricks isn’t the only data platform with its own LLM. Use cases include data integration in the enterprise.

Modeling 91

Modeling Enterprise Cost-Benefit Data Science 91

IBM Big Data Hub

OCTOBER 20, 2023

AI platforms assist with a multitude of tasks ranging from enforcing data governance to better workload distribution to the accelerated construction of machine learning models. Data extraction: Platform capabilities help sort through complex details and quickly pull the necessary information from large documents.

Machine Learning 79

Machine Learning Manufacturing Cost-Benefit Deep Learning 79

Alation

JANUARY 17, 2023

What if, experts asked, you could load raw data into a warehouse, and then empower people to transform it for their own unique needs? Today, data integration platforms like Rivery do just that. By pushing the T to the last step in the process, such products have revolutionized how data is understood and analyzed.

Data Warehouse 52

Data Warehouse Cost-Benefit Data Transformation Data Science 52

CIO Business Intelligence

NOVEMBER 7, 2023

Opting for a centralized data and reporting model rather than training and embedding analysts in individual departments has allowed us to stay nimble and responsive to meet urgent needs, and prevented us from spending valuable resources on low-value data projects which often had little organizational impact,” Higginson says.

Data Warehouse 140

Data Warehouse Digital Transformation Data-driven Reporting 140

Alation

FEBRUARY 10, 2022

Further, as emerging privacy laws mandate how data can be used, data classification helps you meet these requirements. With data classification, metadata tags are used to: Protect sensitive data. Identify data governed by GDPR &CCPA , HIPAA, PCI, SOX, and BCBS. Data Classification and Data Governance.

Data Governance 52

Data Governance Risk Insurance Strategy 52