David Menninger's Analyst Perspectives

NOVEMBER 16, 2021

Talend is a data integration and management software company that offers applications for cloud computing, big data integration, application integration, data quality and master data management.

Management 324

Management Data Warehouse Data Quality Data Integration 324

Analytics Vidhya

JUNE 26, 2023

95% of C-level executives deem data integral to business strategies. After all, it takes knowledge below the surface, unleashing greater possibilities, which is imperative for any organization to […] The post What is Data Management and Why is it Important? appeared first on Analytics Vidhya.

Management 322

Management IT Data Integration Strategy 322

David Menninger's Analyst Perspectives

OCTOBER 7, 2020

For decades, data integration was a rigid process. Data was processed in batches once a month, once a week or once a day. Organizations needed to make sure those processes were completed successfully—and reliably—so they had the data necessary to make informed business decisions.

Technology 337

Technology Management Testing Data Integration 337

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 90

Metadata Management Data Governance Data-driven 90

TDAN

MARCH 5, 2025

The eye-catching headline: Data Governance is failing heres why. In January, CDO Magazine carried an article by a consortium of authors including Dr. Tom Redman, John Ladley, Dr. Anne-Marie Smith, and others.

Data Governance 64

Data Governance Management 64

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

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 128

Data Governance Data Quality Management Big Data 128

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 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 111

Risk Data Strategy Strategy Data Governance 111

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

AWS Big Data

DECEMBER 19, 2024

However, many companies today still struggle to effectively harness and use their data due to challenges such as data silos, lack of discoverability, poor data quality, and a lack of data literacy and analytical capabilities to quickly access and use data across the organization.

Data Governance 52

Data Governance Publishing Data-driven Metadata 52

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.

Data Governance 124

Data Governance Unstructured Data Metadata Data Lake 124

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

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 116

Data Governance Enterprise Management Data Lake 116

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.

Data Governance 123

Data Governance Metadata Unstructured Data Structured Data 123

CIO Business Intelligence

NOVEMBER 28, 2024

Courage and the ability to manage risk In the past, implementing bold technological ideas required substantial financial investment. Effective IT leadership now demands not only the courage to innovate but also a profound understanding of change management principles. Gen AI isn’t a simple plug-and-play solution.

IT 130

IT Data Governance Risk Consulting 130

CIO Business Intelligence

MARCH 25, 2025

For this reason, organizations with significant data debt may find pursuing many gen AI opportunities more challenging and risky. What CIOs can do: Avoid and reduce data debt by incorporating data governance and analytics responsibilities in agile data teams , implementing data observability , and developing data quality metrics.

Risk 140

Risk Cost-Benefit Data-driven Digital Transformation 140

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 363

Data Quality Metadata Data Governance Publishing 363

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 349

Enterprise Deep Learning Data Governance Risk 349

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

AWS Big Data

JANUARY 15, 2025

Their terminal operations rely heavily on seamless data flows and the management of vast volumes of data. With the addition of these technologies alongside existing systems like terminal operating systems (TOS) and SAP, the number of data producers has grown substantially.

IoT 111

IoT Machine Learning Metadata Data-driven 111

Timo Elliott

DECEMBER 10, 2024

One of the sessions I sat in at UKISUG Connect 2024 covered a real-world example of data management using a solution from Bluestonex Consulting , based on the SAP Business Technology Platform (SAP BTP). Impact of Errors : Erroneous data posed immediate risks to operations and long-term damage to customer trust.

Management 52

Management Data Governance Consulting Risk 52

AWS Big Data

OCTOBER 30, 2024

Amazon DataZone is a data management service that makes it faster and easier for customers to catalog, discover, share, and govern data stored across AWS, on premises, and from third-party sources. When you’re connected, you can query, visualize, and share data—governed by Amazon DataZone—within Tableau.

Analytics 119

Analytics Visualization Data Governance Data-driven 119

CIO Business Intelligence

JANUARY 21, 2025

CIOs feeling the pressure will likely seek more pragmatic AI applications, platform simplifications, and risk management practices that have short-term benefits while becoming force multipliers to longer-term financial returns. CIOs should consider placing these five AI bets in 2025.

Cost-Benefit 142

Cost-Benefit Data-driven Strategy Marketing 142

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

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

NOVEMBER 4, 2024

Key challenges include designing and deploying AI infrastructure, with priorities such as data security (53%), resilience and uptime (52%), management at scale (51%), and automation (50%). Data security, data quality, and data governance still raise warning bells Data security remains a top concern.

Marketing 128

Marketing Data Quality Data Governance Digital Transformation 128

AWS Big Data

DECEMBER 4, 2024

Recognizing this paradigm shift, ANZ Institutional Division has embarked on a transformative journey to redefine its approach to data management, utilization, and extracting significant business value from data insights. This enables global discoverability and collaboration without centralizing ownership or operations.

Metadata 105

Metadata Data Governance Data Quality Data-driven 105

CIO Business Intelligence

DECEMBER 10, 2024

The CIO and CMO partnership must ensure seamless system integration and data sharing, enhancing insights and decision-making. To drive gen-AI top-line revenue impacts, CIOs should review their data governance priorities and consider proactive data governance and dataops practices that go beyond risk management objectives.

Sales 143

Sales Metrics Data-driven Unstructured Data 143

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

CIO Business Intelligence

DECEMBER 5, 2024

In today’s data-driven world, large enterprises are aware of the immense opportunities that data and analytics present. Yet, the true value of these initiatives is in their potential to revolutionize how data is managed and utilized across the enterprise.

Enterprise 105

Enterprise Insurance Unstructured Data Business Intelligence 105

CIO Business Intelligence

NOVEMBER 27, 2024

Once the province of the data warehouse team, data management has increasingly become a C-suite priority, with data quality seen as key for both customer experience and business performance. But along with siloed data and compliance concerns , poor data quality is holding back enterprise AI projects.

Enterprise 141

Enterprise Data Quality Structured Data Modeling 141

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

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 97

Metadata Data Governance Metrics Marketing 97

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.

Testing 304

Testing Machine Learning Consulting Data Science 304

AWS Big Data

NOVEMBER 22, 2024

This integration enables data teams to efficiently transform and manage data using Athena with dbt Cloud’s robust features, enhancing the overall data workflow experience. This enables you to extract insights from your data without the complexity of managing infrastructure.

Data Lake 104

Data Lake Data Warehouse Cost-Benefit Data Transformation 104