CIO Business Intelligence

MARCH 25, 2025

Data debt that undermines decision-making In Digital Trailblazer , I share a story of a private company that reported a profitable year to the board, only to return after the holiday to find that data quality issues and calculation mistakes turned it into an unprofitable one.

Risk 140

Risk Cost-Benefit Data-driven Digital Transformation 140

CIO Business Intelligence

DECEMBER 11, 2024

The proposed model illustrates the data management practice through five functional pillars: Data platform; data engineering; analytics and reporting; data science and AI; and data governance. Implementing ML capabilities can help find the right thresholds. However, this landscape is rapidly evolving.

Management 111

Management Data Governance Data Science Reporting 111

CIO Business Intelligence

MARCH 24, 2023

Data governance definition Data governance is a system for defining who within an organization has authority and control over data assets and how those data assets may be used. It encompasses the people, processes, and technologies required to manage and protect data assets.

Data Governance 142

Data Governance Management Metadata Data Quality 142

CIO Business Intelligence

FEBRUARY 6, 2025

For example, at a company providing manufacturing technology services, the priority was predicting sales opportunities, while at a company that designs and manufactures automatic test equipment (ATE), it was developing a platform for equipment production automation that relied heavily on forecasting.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

AWS Big Data

DECEMBER 19, 2024

Data has become an invaluable asset for businesses, offering critical insights to drive strategic decision-making and operational optimization. Initially, the data inventories of different services were siloed within isolated environments, making data discovery and sharing across services manual and time-consuming for all teams involved.

Data Governance 52

Data Governance Publishing Data-driven Metadata 52

CIO Business Intelligence

JANUARY 30, 2025

Metrics should include system downtime and reliability, security incidents, incident response times, data quality issues and system performance. You can also measure user AI skills, adoption rates and even the maturity level of the governance model itself. Lets talk about a few of them: Lack of data governance.

Testing 93

Testing Metrics Cost-Benefit Modeling 93

CIO Business Intelligence

JANUARY 7, 2025

In: Doubling down on data and AI governance Getting business leaders to understand, invest in, and collaborate on data governance has historically been challenging for CIOs and chief data officers.

Digital Transformation 143

Digital Transformation Experimentation Cost-Benefit Strategy 143

Alation

FEBRUARY 3, 2022

They make testing and learning a part of that process. Using this methodology, teams will test new processes, monitor performance, and adjust based on results. DataOps practices help organizations overcome challenges caused by fragmented teams and processes and delays in delivering data in consumable forms. Curate Assets.

Data Governance 98

Data Governance Measurement Metadata Testing 98

Octopai

JULY 11, 2022

And when business users don’t complain, but you know the data isn’t good enough to make these types of calls wisely, that’s an even bigger problem. How are you, as a data quality evangelist (if you’re reading this post, that must describe you at least somewhat, right?), Tie data quality directly to business objectives.

Data Quality 98

Data Quality Strategy Business Objectives Sales 98

erwin

DECEMBER 13, 2018

This past year witnessed a data governance awakening – or as the Wall Street Journal called it, a “global data governance reckoning.” There was tremendous data drama and resulting trauma – from Facebook to Equifax and from Yahoo to Marriott. So what’s on the horizon for data governance in the year ahead?

Data Governance 91

Data Governance IoT Internet of Things Data-driven 91

AWS Big Data

NOVEMBER 22, 2024

Now, with support for dbt Cloud, you can access a managed, cloud-based environment that automates and enhances your data transformation workflows. This upgrade allows you to build, test, and deploy data models in dbt with greater ease and efficiency, using all the features that dbt Cloud provides.

Data Lake 104

Data Lake Data Warehouse Cost-Benefit Data Transformation 104

CIO Business Intelligence

FEBRUARY 26, 2025

When Indiciums AI agents, for instance, try to access data, the company tracks the request back to its source, that is, the person who asked the question that set off the entire process. There are a lot of questions about AI governance, but not a lot of answers. Anything thats not correct or shouldnt be there we need to look into.

IT 141

IT Enterprise Interactive Data Quality 141

O'Reilly on Data

DECEMBER 19, 2018

have a large body of tools to choose from: IDEs, CI/CD tools, automated testing tools, and so on. are only starting to exist; one big task over the next two years is developing the IDEs for machine learning, plus other tools for data management, pipeline management, data cleaning, data provenance, and data lineage.

Machine Learning 279

Machine Learning Software Metadata Testing 279

DataKitchen

AUGUST 16, 2024

Data Pipeline Observability: Optimizes pipelines by monitoring data quality, detecting issues, tracing data lineage, and identifying anomalies using live and historical metadata. This capability includes monitoring, logging, and business-rule detection.

Marketing 124

Marketing Data Quality Testing Metadata 124

Timo Elliott

DECEMBER 10, 2024

The session by Liz Cotter , Data Manager for Water Wipes, and Richard Henry , Commercial Director of BluestoneX Consulting, was called From Challenges to Triumph: WaterWipes’ Data Management Revolution with Maextro. Seamless Deployment : Ensure close collaboration with Basis teams for smooth implementation and testing.

Management 52

Management Data Governance Consulting Risk 52

Alation

FEBRUARY 17, 2023

This past week, I had the pleasure of hosting Data Governance for Dummies author Jonathan Reichental for a fireside chat , along with Denise Swanson , Data Governance lead at Alation. Can you have proper data management without establishing a formal data governance program?

Data Governance 52

Data Governance Data Quality Metadata Cost-Benefit 52

CIO Business Intelligence

FEBRUARY 2, 2024

Developer, Professional Certification Mastering Data Management and Technology SAP Certified Application Associate – SAP Master Data Governance The Art of Service Master Data Management Certification The Art of Service Master Data Management Complete Certification Kit validates the candidate’s knowledge of specific methods, models, and tools in MDM.

Management 116

Management Data Governance Cost-Benefit Testing 116

erwin

FEBRUARY 19, 2021

A strong data management strategy and supporting technology enables the data quality the business requires, including data cataloging (integration of data sets from various sources), mapping, versioning, business rules and glossaries maintenance and metadata management (associations and lineage).

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

Alation

DECEMBER 7, 2021

Alation and Soda are excited to announce a new partnership, which will bring powerful data-quality capabilities into the data catalog. Soda’s data observability platform empowers data teams to discover and collaboratively resolve data issues quickly. Does the quality of this dataset meet user expectations?

Data Quality 52

Data Quality Metadata Data Governance Testing 52

David Menninger's Analyst Perspectives

OCTOBER 2, 2024

Data contracts should include a description of the data product, defining the structure, format and meaning of the data, as well as licensing terms and usage recommendations. A data contract should also define data quality and service-level key performance indicators and commitments.

Key Performance Indicator 130

Key Performance Indicator Data Governance Data Warehouse Enterprise 130

IBM Big Data Hub

MARCH 25, 2022

There are many different approaches, but you’ll want an architecture that can be used regardless of your data estate. In other words, the obstacles of data access, data integration and data protection are minimized, rendering maximum flexibility to the end users. Protection is applied on each data pipeline.

Metadata 104

Metadata Data Quality Data Governance Data Integration 104

Alation

OCTOBER 28, 2021

This data is also a lucrative target for cyber criminals. Healthcare leaders face a quandary: how to use data to support innovation in a way that’s secure and compliant? Data governance in healthcare has emerged as a solution to these challenges. Uncover intelligence from data. Protect data at the source.

Data Governance 52

Data Governance Measurement Data Quality Metrics 52

Alation

MAY 31, 2023

The Data Governance & Information Quality Conference (DGIQ) is happening soon — and we’ll be onsite in San Diego from June 5-9. If you’re not familiar with DGIQ, it’s the world’s most comprehensive event dedicated to, you guessed it, data governance and information quality. The best part?

Data Governance 52

Data Governance Insurance Metadata Data-driven 52

CIO Business Intelligence

DECEMBER 19, 2023

Third, in the CDO Agenda: 2024: Navigating Data and Generative AI Frontiers , 57% of respondents haven’t changed their data environments to support generative AI. Another area to focus on is continuous testing , especially as generative AI and copilots can increase the velocity of code development and risks from code generators.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

CIO Business Intelligence

OCTOBER 17, 2024

But the biggest point is data governance. You can host data anywhere — on-prem or in the cloud — but if your data quality is not good, it serves no purpose. Data governance was the biggest piece that we took care of. That was the foundation. And we’ve already seen a big ROI on this.

Management 111

Management Insurance ROI Cost-Benefit 111

erwin

AUGUST 7, 2019

A data catalog benefits organizations in a myriad of ways. With the right data catalog tool, organizations can automate enterprise metadata management – including data cataloging, data mapping, data quality and code generation for faster time to value and greater accuracy for data movement and/or deployment projects.

Metadata 90

Metadata Data Governance Data Quality Data Warehouse 90

DataKitchen

OCTOBER 2, 2023

Whether the Data Ingestion Team struggles with fragmented database ownership and volatile data environments or the End-to-End Data Product Team grapples with real-time data observability issues, the article provides actionable recommendations. ’ What’s a Data Journey? .’ ’ What’s a Data Journey?

Data Quality 100

Data Quality Testing Uncertainty Data Enablement 100

erwin

DECEMBER 9, 2024

A data catalog providing automated data profiling does just this and, when tied in with data lineage, your organization can easily see metadatas pathway back to all sources feeding your AI model. Monitoring sales revenue data will provide you with regional patterns and anomalies globally.

Metadata 52

Metadata Data Quality Sales Modeling 52

Andrew White

JULY 23, 2019

Here is a snapshot from our growing new set of data and analytics case studies. D&A Strategy: Continuously Market-Tested Data & Analytics Strategy (UrbanShopping*) 710519. Analytics, BI and Data Science: Peer-Based Analytics Learning (ABB) 710371. Data Quality Score (TE Connectivity) 705649.

Analytics 73

Analytics Snapshot Machine Learning Data Quality 73

AWS Big Data

MAY 7, 2024

Data governance is a key enabler for teams adopting a data-driven culture and operational model to drive innovation with data. Amazon DataZone allows you to simply and securely govern end-to-end data assets stored in your Amazon Redshift data warehouses or data lakes cataloged with the AWS Glue data catalog.

Metadata 109

Metadata Data Lake Data Processing Data-driven 109

Alation

JULY 15, 2022

And, while change at large organisations is tough, data leaders would be wise to reframe such transformations as business opportunities rather than burdens. The business opportunity: Data governance exposes inefficiency. However, these manual steps weren’t transparent until active data governance required it.

Cost-Benefit 89

Cost-Benefit Data Governance ROI Risk 89

CIO Business Intelligence

SEPTEMBER 17, 2024

Enterprise architects can act as program sponsors, especially around infrastructure and risk-mediating investments required by IT operations, information security, and data governance functions. One area to focus on is defining AI governance , sponsoring tools for data security, and funding data governance initiatives.

Enterprise 145

Enterprise Digital Transformation Cost-Benefit Risk 145

CIO Business Intelligence

APRIL 24, 2025

The basis is test, measure, and learn. They participate in the teams and we even have a few train drivers whove become developers, says Caddeo. Were constantly working across borders, and that means its a good product that comes out. But there are times when theres project work, like when a new train is purchased.

IT 71

IT Consulting Optimization IoT 71

AWS Big Data

SEPTEMBER 11, 2024

This also includes building an industry standard integrated data repository as a single source of truth, operational reporting through real time metrics, data quality monitoring, 24/7 helpdesk, and revenue forecasting through financial projections and supply availability projections.

Data Architecture 111

Data Architecture Optimization Data Warehouse Metadata 111

CIO Business Intelligence

JUNE 12, 2024

“They’re very powerful for generating synthetic data and test data,” says Noah Johnson, co-founder and CTO at Dasera, a data security firm. You give them the structure and the general context, and they can generate very realistic-looking synthetic data.” But sometimes there isn’t enough data,” says Thurai.

Modeling 140

Modeling Testing Cost-Benefit Metadata 140

Cloudera

JUNE 29, 2023

To ensure the stability of the US financial system, the implementation of advanced liquidity risk models and stress testing using (MI/AI) could potentially serve as a protective measure. To improve the way they model and manage risk, institutions must modernize their data management and data governance practices.

Data Architecture 85

Data Architecture Risk Management Risk Management 85

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