CIO Business Intelligence

JULY 8, 2025

To address this gap and ensure the data supply chain receives enough top-level attention, CIOs have hired or partnered with chief data officers, entrusting them to address the data debt , automate data pipelines , and transform to a proactive data governance model focusing on health metrics, data quality , and data model interoperability. [

Risk

CIO Business Intelligence

APRIL 8, 2025

As technology and business leaders, your strategic initiatives, from AI-powered decision-making to predictive insights and personalized experiences, are all fueled by data. Yet, despite growing investments in advanced analytics and AI, organizations continue to grapple with a persistent and often underestimated challenge: poor data quality.

Data Quality

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. datazone_env_twinsimsilverdata"."cycle_end";')

IoT

AWS Big Data

DECEMBER 4, 2024

With this new functionality, customers can create up-to-date replicas of their data from applications such as Salesforce, ServiceNow, and Zendesk in an Amazon SageMaker Lakehouse and Amazon Redshift. SageMaker Lakehouse gives you the flexibility to access and query your data in-place with all Apache Iceberg compatible tools and engines.

Data Integration

CIO Business Intelligence

OCTOBER 23, 2024

But more than anything, the data platform is putting decision-making tools in the hands of our business so people can better manage their operations. How would you categorize the change management that needed to happen to build a new enterprise data platform? We thought about change in two ways.

Enterprise

DataKitchen

JULY 8, 2025

The Dual Challenge of Production and Development Testing Test coverage in data and analytics operates across two distinct but interconnected dimensions: production testing and development testing. Production test coverage ensures that data quality remains high and error rates remain low throughout the value pipeline during live operations.

Testing

AWS Big Data

DECEMBER 19, 2024

Data lakes were originally designed to store large volumes of raw, unstructured, or semi-structured data at a low cost, primarily serving big data and analytics use cases. By using features like Icebergs compaction, OTFs streamline maintenance, making it straightforward to manage object and metadata versioning at scale.

Data Lake

KDnuggets

JUNE 19, 2025

This readability becomes valuable when collaborating with domain experts who need to understand and validate your data transformations. Real-world data projects often involve integrating multiple data sources, handling different formats, and dealing with inconsistent data quality.

Experimentation

AWS Big Data

DECEMBER 4, 2024

Open table formats are emerging in the rapidly evolving domain of big data management, fundamentally altering the landscape of data storage and analysis. By providing a standardized framework for data representation, open table formats break down data silos, enhance data quality, and accelerate analytics at scale.

Snapshot

AWS Big Data

DECEMBER 9, 2024

As organizations process vast amounts of data, maintaining an accurate historical record is crucial. History management in data systems is fundamental for compliance, business intelligence, data quality, and time-based analysis. Financial systems use it for maintaining accurate transaction and balance histories.

Snapshot

AWS Big Data

JULY 15, 2025

Apache Iceberg, a high-performance open table format (OTF), has gained widespread adoption among organizations managing large scale analytic tables and data volumes. Parquet is one of the most common and fastest growing data types in Amazon S3. An EC2 instance c5.xlarge For more information, see Get started with Amazon EC2.

Optimization

CIO Business Intelligence

JULY 7, 2025

To streamline an operation with so many moving parts, the company has deployed Hertz Connected Fleet OS, an AI-enabled operating system for fleet management. He also didn’t ask for extra funding to put data architecture and data governance in place. The trick for us was don’t try to perfect all of it,” he said.

Management

AWS Big Data

JULY 7, 2025

These challenges are encountered by financial institutions worldwide, leading to a reassessment of traditional data management practices. EventBridge supports custom event buses for domain-specific events, enabling clear separation of concerns and improved manageability.

Data-driven

AWS Big Data

JULY 30, 2025

With data lineage captured at the table, column, and job level, data producers can conduct impact analysis of changes in their data pipelines and respond to data issues when needed, for example, when a column in the resulting dataset is missing the quality required by the business.

Metadata

AWS Big Data

JULY 10, 2025

Under the company motto of “making the invisible visible”, they’ve have expanded their business centered on marine sensing technology and are now extending into subscription-based data businesses using Internet of Things (IoT) data. Integrated risk management was also difficult.

Manufacturing

AWS Big Data

FEBRUARY 13, 2025

This plane drives users to engage in data-driven conversations with knowledge and insights shared across the organization. Through the product experience plane, data product owners can use automated workflows to capture data lineage and data quality metrics and oversee access controls.

Data Analytics

AWS Big Data

DECEMBER 9, 2024

Given the importance of data in the world today, organizations face the dual challenges of managing large-scale, continuously incoming data while vetting its quality and reliability. One of its key features is the ability to manage data using branches.

Data Quality

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

CIO Business Intelligence

AUGUST 11, 2025

Technically, things fall apart when: Data quality doesn’t scale. But in the real world, enterprise data is fragmented, stale and riddled with missing metadata. It takes more than data scientists to scale AI. They build strong data and tech foundations You can’t scale AI on broken plumbing.

Enterprise

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.

Metadata

CIO Business Intelligence

APRIL 17, 2025

Moreover, 68% of vice presidents in charge of AI or data management already see their companies making decisions based on bad data all or most of the time, versus 47% of C-level IT leaders. That emphasis can erode an organizations data foundation over time.

Data-driven

CIO Business Intelligence

JUNE 3, 2025

As the world embraces artificial intelligence (AI), data has emerged as the most critical asset in driving innovation and efficiency. But true AI readiness starts with data readiness. The AI Data Lake Solution also supported the pathology AI model to cut diagnosis and report generation to just 15 seconds, he says.

Data Lake

Data Virtualization

JANUARY 21, 2025

However, companies are still struggling to manage data effectively, to implement GenAI applications that deliver proven business value. Gartner predicts that by the end of this year, 30%.

Management

Teradata

MAY 30, 2025

May 30, 2025 6 min read Doug Mbaya Jimmy Hayes In this article, we'll explore how to build a data mesh architecture using Teradata VantageCloud Lake as the core data platform on Amazon Web Services (AWS). This emphasis on simplicity and ease of use in workload management simplifies operations and minimizes complexity.

Machine Learning

CIO Business Intelligence

MAY 14, 2025

The EA function (usually managed by IT) has not only struggled to adapt to outcome-driven business dynamics but has also unwittingly created its own existential crisis in the 21st-century enterprise. AI initiatives often need centralized data lakes, while domain-driven models emphasize decentralized ownership.

Enterprise

CIO Business Intelligence

JUNE 16, 2025

It’s important to build that architecture and infrastructure — to understand the data source, to generate the data, and to build a single data platform,” Jayadev says. A decade and more ago when big data burst onto the scene, data lakes emerged to accommodate unstructured data as a source of analytic insights.

Data Warehouse

CIO Business Intelligence

MAY 29, 2025

AI in the enterprise has become a strategic imperative for every organization, but for it to be truly effective, CIOs need to manage the data layer in a way that can support the evolutionary breakthroughs in large language models and frameworks. These issues are resolved by the current lakehouse evolution. Modern unified catalogs (e.g.,

Metadata

CIO Business Intelligence

MAY 6, 2025

There are several consistent patterns Ive observed across transformation programs, and they often fall into one of four categories: data quality, data silos, governance gaps and cloud cost sprawl. Whats worse, poor quality undermines trust, and once thats gone, its hard to win back stakeholders.

Prescriptive Analytics

Jet Global

JANUARY 30, 2025

Its distributed architecture empowers organizations to query massive datasets across databases, data lakes, and cloud platforms with speed and reliability. Optimizing coordinators and workers ensures efficient query management, while intelligent load balancing prevents performance bottlenecks.

Data Lake

CIO Business Intelligence

APRIL 23, 2025

Many still rely on legacy platforms , such as on-premises warehouses or siloed data systems. These environments often consist of multiple disconnected systems, each managing distinct functions policy administration, claims processing, billing and customer relationship management all generating exponentially growing data as businesses scale.

Insurance

CIO Business Intelligence

JUNE 4, 2025

However, the underlying data sources remain distinct and can therefore be managed in whichever way is most appropriate on a case-by-case basis. Data mesh solves the challenge of forcing all of an organizations data into a single, inflexible location. The data is already cataloged and available through the data mesh.

Enterprise

CIO Business Intelligence

FEBRUARY 18, 2025

Lets follow that journey from the ground up and look at positioning AI in the modern enterprise in manageable, prioritized chunks of capabilities and incremental investment. Start with data as an AI foundation Data quality is the first and most critical investment priority for any viable enterprise AI strategy.

Machine Learning

CIO Business Intelligence

JULY 30, 2025

However, the results were initially challenging—accuracy rates started at just 55%—but through focused data quality improvements, including humans in the loop, and enhanced search capabilities, the system now delivers 80-90% accuracy on technical responses.

Sales

CIO Business Intelligence

APRIL 16, 2025

Customer service agents are paid for their time on the phone, so we carefully measure first call resolution and time tracking to SLA management. We used to need structured data because our machine learning models expected field-level information. What matters is the data is ingestible and has longevity.

ROI

BI-Survey

FEBRUARY 27, 2025

First, data catalog vendors have been integrating ML algorithms for years to automate tasks such as tagging and data classification, reducing manual effort and improving metadata management. AI Model Governance As laid out earlier, the scope of data governance is expanding as AI governance has become an additional requirement.

Unstructured Data

David Menninger's Analyst Perspectives

MAY 13, 2021

Everyone talks about data quality, as they should. Our research shows that improving the quality of information is the top benefit of data preparation activities. Data quality efforts are focused on clean data. Yes, clean data is important. but so is bad data.

Data Lake

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