David Menninger's Analyst Perspectives

JUNE 12, 2019

Under that focus, Informatica's conference emphasized capabilities across six areas (all strong areas for Informatica): data integration, data management, data quality & governance, Master Data Management (MDM), data cataloging, and data security.

Management 270

Management Data Quality Data Integration Data Lake 270

David Menninger's Analyst Perspectives

APRIL 8, 2021

Organizations are accelerating their digital transformation and looking for innovative ways to engage with customers in this new digital era of data management. The challenge is to ensure that processes, applications and data can still be integrated across cloud and on-premises systems.

Management 251

Management Digital Transformation Business Intelligence Internet of Things 251

CIO Business Intelligence

DECEMBER 3, 2024

In today’s data-driven world, the proliferation of artificial intelligence (AI) technologies has ushered in a new era of possibilities and challenges. One of the foremost challenges that organizations face in employing AI, particularly generative AI (genAI), is to ensure robust data governance and classification practices.

Data Governance 114

Data Governance Snapshot Machine Learning Risk 114

Smart Data Collective

JULY 25, 2024

Mastering data governance in a multi-cloud environment is key! Delve into best practices for seamless integration, compliance, and data quality management.

Data Governance 118

Data Governance Data Quality Management Big Data 118

AWS Big Data

FEBRUARY 29, 2024

Data is your generative AI differentiator, and a successful generative AI implementation depends on a robust data strategy incorporating a comprehensive data governance approach. Data governance is a critical building block across all these approaches, and we see two emerging areas of focus.

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Data Governance Unstructured Data Metadata Data Lake 123

Analytics Vidhya

OCTOBER 25, 2023

Introduction Struggling with expanding a business database due to storage, management, and data accessibility issues? To steer growth, employ effective data management strategies and tools. This article explores data management’s key tool features and lists the top tools for 2023.

Management 220

Management Strategy Enterprise Analytics 220

CIO Business Intelligence

SEPTEMBER 19, 2024

It will do this, it said, with bidirectional integration between its platform and Salesforce’s to seamlessly delivers data governance and end-to-end lineage within Salesforce Data Cloud. Alation is a founding member, along with Collibra.

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Data Governance Metadata Unstructured Data Structured Data 123

AWS Big Data

SEPTEMBER 26, 2024

In today’s rapidly evolving digital landscape, enterprises across regulated industries face a critical challenge as they navigate their digital transformation journeys: effectively managing and governing data from legacy systems that are being phased out or replaced. We have created two groups: Data Engineering and Auditor.

Data Governance 115

Data Governance Enterprise Management Data Lake 115

CIO Business Intelligence

MAY 24, 2023

The first published data governance framework was the work of Gwen Thomas, who founded the Data Governance Institute (DGI) and put her opus online in 2003. They already had a technical plan in place, and I helped them find the right size and structure of an accompanying data governance program.

Data Governance 118

Data Governance Data Quality Data Collection Publishing 118

TDAN

OCTOBER 3, 2023

As a frequent reviewer of data and strategy books, I am always interested in understanding authors’ perspectives on data governance. Two recent books have ideas that are worthy of data governance professionals: “Rewired” by Eric Lamarre, Kate Smaje, and Rodney W. Wixom, Cynthia M. Beath, and […]

Data Governance 116

Data Governance Strategy Data Strategy Management 116

CIO Business Intelligence

OCTOBER 2, 2024

According to Kari Briski, VP of AI models, software, and services at Nvidia, successfully implementing gen AI hinges on effective data management and evaluating how different models work together to serve a specific use case. Data management, when done poorly, results in both diminished returns and extra costs.

Management 141

Management Data Governance Cost-Benefit Structured Data 141

David Menninger's Analyst Perspectives

OCTOBER 24, 2024

Data fabric refers to technology products that can be used to integrate, manage and govern data across distributed environments, supporting the cultural and organizational data ownership and access goals of data mesh. Both data fabric and data mesh are driving interest in logical data management and Denodo.

Management 130

Management Data-driven Data Governance Data Lake 130

O'Reilly on Data

MARCH 18, 2020

Whether it’s controlling for common risk factors—bias in model development, missing or poorly conditioned data, the tendency of models to degrade in production—or instantiating formal processes to promote data governance, adopters will have their work cut out for them as they work to establish reliable AI production lines.

Enterprise 315

Enterprise Deep Learning Data Governance Risk 315

AWS Big Data

AUGUST 13, 2024

Amazon DataZone has announced a set of new data governance capabilities—domain units and authorization policies—that enable you to create business unit-level or team-level organization and manage policies according to your business needs. Some examples of child domain units include drug discovery and clinical trials management.

Data Governance 119

Data Governance Metadata Enterprise Sales 119

datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

Data Quality 241

Data Quality Metrics Data-driven Management 241

CIO Business Intelligence

FEBRUARY 2, 2024

As data and analytics become the beating heart of the enterprise, it’s increasingly critical for the business to have access to consistent, high-quality data assets. Master data management (MDM) is required to ensure the enterprise’s data is consistent, accurate, and controlled. for 180 days access.

Management 116

Management Data Governance Cost-Benefit Testing 116

O'Reilly on Data

FEBRUARY 11, 2020

Data scientists and analysts, data engineers, and the people who manage them comprise 40% of the audience; developers and their managers, about 22%. Data quality might get worse before it gets better. Comparatively few organizations have created dedicated data quality teams. And that’s just the beginning.

Data Quality 309

Data Quality Metadata Data Governance Publishing 309

CIO Business Intelligence

DECEMBER 20, 2024

Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). An organizations data architecture is the purview of data architects. Cloud computing.

Data Architecture 98

Data Architecture Management Consulting Internet of Things 98

David Menninger's Analyst Perspectives

OCTOBER 30, 2024

The application suite includes procurement, inventory management, warehouse management, order management and transportation management. They involve the intricate choreography of often complex activities that require the accurate communication and transmission of bucketloads of data.

Management 130

Management IT Sales Manufacturing 130

DataKitchen

APRIL 13, 2021

Testing and Data Observability. Sandbox Creation and Management. We have also included vendors for the specific use cases of ModelOps, MLOps, DataGovOps and DataSecOps which apply DataOps principles to machine learning, AI, data governance, and data security operations. . Sandbox Creation and Management.

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Testing Machine Learning Consulting Data Quality 312

CIO Business Intelligence

NOVEMBER 17, 2022

This is especially true for content management operations looking to navigate the complexities of data compliance while getting the most from their data. quintillion bytes of data (that’s 2.5 IT professionals tasked with managing, storing, and governing the vast amount of incoming information need help.

Software 144

Software Management Digital Transformation Data Governance 144

David Menninger's Analyst Perspectives

FEBRUARY 21, 2020

Ventana Research recently announced its 2020 research agenda for data, continuing the guidance we’ve offered for nearly two decades to help organizations derive optimal value and improve business outcomes. Data volumes continue to grow while data latency requirements continue to shrink.

Data Governance 263

Data Governance Optimization Data Lake IT 263

DataKitchen

DECEMBER 7, 2021

If you can’t wait, check out this DataKitchen white paper, Build a Data Mesh Factory with DataOps. Data Teams: A Unified Management Model for Successful Data-Focused Teams, by Jesse Anderson. Disrupting Data Governance: A Call to Action, by Laura B. Author Laura B.

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Data-driven Data Governance Big Data Data Science 246

AWS Big Data

NOVEMBER 20, 2024

For example, one of our customers, Bristol Myers Squibb (BMS), leverages Amazon DataZone to address their specific data governance needs. In the first part, we walk through the steps necessary to enforce metadata for subscription requests for managed assets. Solution overview The solution in this post is composed of two parts.

Metadata 92

Metadata Data Governance Metrics Marketing 92

CIO Business Intelligence

NOVEMBER 28, 2023

To avoid the inevitable, CIOs must get serious about data management. Data, of course, has been all the rage the past decade, having been declared the “new oil” of the digital economy. Still, to truly create lasting value with data, organizations must develop data management mastery.

Management 131

Management Data Architecture Data Lake Data Strategy 131

CIO Business Intelligence

MARCH 6, 2024

Many of our customers had already started to move their applications and it made sense they would want to transition to data management in the cloud as well. First, we had complete buy-in from the board and the rest of the management team. So what’s the change management lesson here? But it’s not that simple.

Modeling 116

Modeling Management IT Metrics 116

O'Reilly on Data

FEBRUARY 4, 2019

Our survey showed that companies are beginning to build some of the foundational pieces needed to sustain ML and AI within their organizations: Solutions, including those for data governance, data lineage management, data integration and ETL, need to integrate with existing big data technologies used within companies.

Machine Learning 278

Machine Learning Enterprise IoT Big Data 278

CIO Business Intelligence

OCTOBER 17, 2024

And over time I have been given more responsibility on the operations side: claims processing and utilization management, for instance, both of which are the key to any health insurance company (or any insurance company, really). For any health insurance company, preventive care management is critical to keeping costs low.

Management 111

Management Insurance ROI Cost-Benefit 111

David Menninger's Analyst Perspectives

MAY 20, 2021

version, introducing new data governance capabilities, enhancements in search and discovery through data domains, and extended connector and query coverage for data sources. Alation recently announced the release of its 2021.1

Data Governance 286

Data Governance Software IT Machine Learning 286

AWS Big Data

OCTOBER 10, 2023

Data governance is the process of ensuring the integrity, availability, usability, and security of an organization’s data. Due to the volume, velocity, and variety of data being ingested in data lakes, it can get challenging to develop and maintain policies and procedures to ensure data governance at scale for your data lake.

Data Quality 111

Data Quality Data Governance Data Lake Testing 111

David Menninger's Analyst Perspectives

JANUARY 14, 2021

Organizations still struggle with limited data visibility and insufficient insights, which are often caused by a multitude of reasons such as analytic workloads running independently, data spread across multiple data centers, data governance, etc.

Machine Learning 232

Machine Learning Data Governance Big Data Data Science 232

AWS Big Data

APRIL 29, 2024

In the realm of big data, securing data on cloud applications is crucial. This post explores the deployment of Apache Ranger for permission management within the Hadoop ecosystem on Amazon EKS. Apache Ranger is a comprehensive framework designed for data governance and security in Hadoop ecosystems.

Management 115

Management Big Data Data Warehouse Metadata 115

Cloudera

NOVEMBER 13, 2024

In today’s heterogeneous data ecosystems, integrating and analyzing data from multiple sources presents several obstacles: data often exists in various formats, with inconsistencies in definitions, structures, and quality standards.

Metadata 96

Metadata Management Data Governance Data-driven 96

CIO Business Intelligence

DECEMBER 11, 2024

According to Richard Kulkarni, Country Manager for Quest, a lack of clarity concerning governance and policy around AI means that employees and teams are finding workarounds to access the technology. Strong data strategies de-risk AI adoption, removing barriers to performance.

Risk 107

Risk Data Strategy Strategy Data Governance 107

David Menninger's Analyst Perspectives

MARCH 21, 2023

Now more than ever, effective data management is crucial to enable decision-makers to better assess information and take calculated actions. It is also important to keep up with the latest trends and technologies to derive higher value from data and analytics and maintain a competitive edge in the market.

Analytics 147

Analytics Data Governance Data Quality Management 147

David Menninger's Analyst Perspectives

DECEMBER 23, 2022

Analytics processes are all about how organizations use data to create metrics that help manage and improve operations. Yet, the discipline applied to analytics processes seems to be lacking compared to data processes. I’ve pointed out that the weak link in data governance is often analytics.

Metrics 147

Metrics Data Governance Data Processing Management 147

CIO Business Intelligence

NOVEMBER 27, 2024

As AI adoption accelerates, it demands increasingly vast amounts of data, leading to more users accessing, transferring, and managing it across diverse environments. Each interaction amplifies the potential for errors, breaches, or misuse, underscoring the critical need for a strong governance framework to mitigate these risks.

Data Governance 132

Data Governance Risk Insurance Metadata 132