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. This development will make it easier for smaller organizations to start incorporating AI/ML capabilities.

Management 111

Management Data Governance Data Science Reporting 111

CIO Business Intelligence

DECEMBER 5, 2024

This shift allows for enhanced context learning, prompt augmentation, and self-service data insights through conversational business intelligence tools, as well as detailed analysis via charts. These tools empower users with sector-specific expertise to manage data without extensive programming knowledge.

Enterprise 105

Enterprise Insurance Unstructured Data Business Intelligence 105

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

DECEMBER 11, 2024

Despite decades of investment in data management solutions, many continue to struggle with data quality issues, either through their failure to modernise legacy investments or through the outcomes of acquisitions and business decisions, which in either instance have led to data existing in multiple silos across their organisations.

Risk 111

Risk Data Strategy Strategy Data Governance 111

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

CIO Business Intelligence

NOVEMBER 27, 2024

Good data governance has always involved dealing with errors and inconsistencies in datasets, as well as indexing and classifying that structured data by removing duplicates, correcting typos, standardizing and validating the format and type of data, and augmenting incomplete information or detecting unusual and impossible variations in the data.

Enterprise 141

Enterprise Data Quality Structured Data Modeling 141

O'Reilly on Data

FEBRUARY 11, 2019

There are many articles that point to the explosion of data, but in order for that data that be useful for analytics and ML, it has to be collected, transported, cleaned, stored, and combined with other data sources. Data Platforms. Data Integration and Data Pipelines. Model lifecycle management.

Big Data 272

Big Data Technology Machine Learning Deep Learning 272

CIO Business Intelligence

NOVEMBER 27, 2024

Above all, robust governance is essential. Failing to invest in data governance and security practices risks not only regulatory lapses and internal governance violations, but also bad outputs from AI that can stunt growth, lead to biased outcomes and inaccurate insights, and waste an organization’s resources.

Data Governance 132

Data Governance Risk Insurance Metadata 132

David Menninger's Analyst Perspectives

JULY 7, 2022

Organizations are continuously increasing the use of analytics and business intelligence to turn data into meaningful and actionable insights.

Analytics 296

Analytics Business Intelligence Marketing Management 296

CIO Business Intelligence

APRIL 29, 2022

Data-centric AI is evolving, and should include relevant data management disciplines, techniques, and skills, such as data quality, data integration, and data governance, which are foundational capabilities for scaling AI. Further, data management activities don’t end once the AI model has been developed.

Data Governance 145

Data Governance IT Data Lake Risk 145

O'Reilly on Data

JANUARY 29, 2019

In other words, could we see a roadmap for transitioning from legacy cases (perhaps some business intelligence) toward data science practices, and from there into the tooling required for more substantial AI adoption? Data scientists and data engineers are in demand.

Deep Learning 271

Deep Learning Machine Learning Data Science Metadata 271

David Menninger's Analyst Perspectives

OCTOBER 5, 2020

Ventana Research has been evaluating analytics and business intelligence (BI) software for a long time—almost 20 years. Our methodology for these assessments is referred to as a Value Index. We use weightings derived from our benchmark research about how you, as buyers of these technologies, value and evaluate vendors.

Software 290

Software Analytics Business Intelligence Technology 290

David Menninger's Analyst Perspectives

NOVEMBER 19, 2024

Data lineage is now one of three core components of the company’s data observability platform, alongside automated monitoring and anomaly detection. Having trust in data is crucial to business decision-making.

Data Quality 130

Data Quality Dashboards Data-driven Software 130

CIO Business Intelligence

JUNE 9, 2023

The ever-increasing emphasis on data and analytics has organizations paying more attention to their data governance strategies these days, as a recent Gartner survey found that 63% of data and analytics leaders say their organizations are increasing investment in data governance. The reason?

Data Governance 105

Data Governance Cost-Benefit Data-driven Publishing 105

AWS Big Data

OCTOBER 30, 2024

With this integration, you can now seamlessly query your governed data lake assets in Amazon DataZone using popular business intelligence (BI) and analytics tools, including partner solutions like Tableau. When you’re connected, you can query, visualize, and share data—governed by Amazon DataZone—within Tableau.

Analytics 103

Analytics Visualization Data Governance Data-driven 103

David Menninger's Analyst Perspectives

SEPTEMBER 22, 2022

Organizations are collecting data from multiple data sources and a variety of systems to enrich their analytics and business intelligence (BI). But collecting data is only half of the equation. As the data grows, it becomes challenging to find the right data at the right time.

Data Lake 278

Data Lake Business Intelligence Analytics IT 278

CIO Business Intelligence

NOVEMBER 4, 2024

Data security, data quality, and data governance still raise warning bells Data security remains a top concern. Respondents rank data security as the top concern for AI workloads, followed closely by data quality. AI applications rely heavily on secure data, models, and infrastructure.

Marketing 128

Marketing Data Quality Data Governance Digital Transformation 128

O'Reilly on Data

FEBRUARY 11, 2020

They have too many different data sources and too much inconsistent data. They don’t have the resources they need to clean up data quality problems. The building blocks of data governance are often lacking within organizations. In other words, the sheer preponderance of data sources isn’t a bug: it’s a feature.

Data Quality 363

Data Quality Metadata Data Governance Publishing 363

CIO Business Intelligence

JULY 23, 2023

Companies from all industries worldwide continue to increase investments in BPM/Workflow, Robotic Process Automation (RPA), machine learning (ML), and artificial intelligence (AI), and accelerate operational transformations to automate and make data governance more agile to keep up with the exponential growth of incoming information.

Data Governance 98

Data Governance Unstructured Data Cost-Benefit Machine Learning 98

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

AWS Big Data

JANUARY 15, 2025

Two use cases illustrate how this can be applied for business intelligence (BI) and data science applications, using AWS services such as Amazon Redshift and Amazon SageMaker. Eliminate centralized bottlenecks and complex data pipelines. Lakshmi Nair is a Senior Specialist Solutions Architect for Data Analytics at AWS.

IoT 100

IoT Machine Learning Metadata Data-driven 100

Cloudera

SEPTEMBER 23, 2022

Challenges include deploying and maintaining the data platform as well as managing cloud compute costs. Additionally, your data within the data lakehouse must be kept secure, yet at the same time easily accessible by authorized staff and business intelligence tools within your enterprise. .

Data Governance 109

Data Governance Strategy Enterprise Cost-Benefit 109

CIO Business Intelligence

NOVEMBER 28, 2024

By adopting this mindset and applying business principles, IT leaders can unlock new revenue streams. Focus on data governance and ethics With AI becoming more pervasive, the ethical and responsible use of it is paramount.

IT 130

IT Data Governance Risk Consulting 130

CIO Business Intelligence

FEBRUARY 6, 2025

Its about investing in skilled analysts and robust data governance. This means fostering a culture of data literacy and empowering analysts to critically evaluate the tools and techniques at their disposal. It also means establishing clear data governance frameworks to ensure data quality, security and ethical use.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

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 30, 2024

Amazon DataZone now launched authentication supports through the Amazon Athena JDBC driver, allowing data users to seamlessly query their subscribed data lake assets via popular business intelligence (BI) and analytics tools like Tableau, Power BI, Excel, SQL Workbench, DBeaver, and more. Lionel Pulickal is Sr.

Visualization 115

Visualization Data Lake Testing Data Governance 115

David Menninger's Analyst Perspectives

APRIL 8, 2021

Over the years, the adoption of cloud computing has gained momentum with more and more organizations trying to make use of applications, data, analytics and self-service business intelligence (BI) tools running on top of cloud-computing infrastructure in order to improve efficiency.

Management 251

Management Digital Transformation Business Intelligence Internet of Things 251

David Menninger's Analyst Perspectives

JUNE 4, 2021

We are happy to share some insights about Information Builders’ WebFOCUS Business Intelligence and Analytics Platform drawn from our latest Value Index research, which assesses how well vendors’ offerings meet buyers’ requirements.

Business Intelligence 225

Business Intelligence Analytics Data Governance Machine Learning 225

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

O'Reilly on Data

MAY 21, 2019

We found that companies that have successfully adopted machine learning do so either by building on existing data products and services, or by modernizing existing models and algorithms. Use ML to unlock new data types—e.g., You also need solutions that let you understand what data you have and who can access it.

Machine Learning 279

Machine Learning Technology Deep Learning Data Science 279

CIO Business Intelligence

JANUARY 21, 2025

The World Economic Forum shares some risks with AI agents , including improving transparency, establishing ethical guidelines, prioritizing data governance, improving security, and increasing education. Placing an AI bet on marketing is often a force multiplier as it can drive data governance and security investments.

Cost-Benefit 142

Cost-Benefit Data-driven Strategy Marketing 142

CIO Business Intelligence

DECEMBER 20, 2024

Effective enterprise data architectures should align with business goals. To do this, organizations should identify the data they need to collect, analyze, and store based on strategic objectives. Ensure data governance and compliance. Choose the right tools and technologies.

Data Architecture 122

Data Architecture Management Consulting Internet of Things 122

datapine

DECEMBER 11, 2019

It’s also popular amongst businesses for its simplicity and user accessibility, security, and the widespread connectivity that serves to streamline business models, resulting in maximum efficiency across the board. Artificial Intelligence (AI) technologies are becoming more widespread; it’s becoming a game-changer worth $15.7

Software 314

Software Cost-Benefit Data-driven Data Processing 314

Boris Evelson

JULY 25, 2024

Generative AI was supposed to disrupt how we analyze data using BI tools. Find out why that hasn't happened yet.

Business Intelligence 72

Business Intelligence Data Governance Data Science 72

AWS Big Data

DECEMBER 4, 2024

Under the federated mesh architecture, each divisional mesh functions as a node within the broader enterprise data mesh, maintaining a degree of autonomy in managing its data products. By treating the data as a product, the outcome is a reusable asset that outlives a project and meets the needs of the enterprise consumer.

Metadata 93

Metadata Data Governance Data Quality Data-driven 93

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 Measurement 143