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. Implementing robust data governance is challenging. In a data mesh architecture, this complexity is amplified by the organizations decentralized nature.

Data Governance 52

Data Governance Publishing Data-driven Metadata 52

CIO Business Intelligence

FEBRUARY 6, 2025

Imagine generating complex narratives from data visualizations or using conversational BI tools that respond to your queries in real time. In retail, they can personalize recommendations and optimize marketing campaigns. Sustainable IT is about optimizing resource use, minimizing waste and choosing the right-sized solution.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

David Menninger's Analyst Perspectives

JUNE 22, 2022

Organizations are constantly trying to streamline and optimize business data to solve complex problems and identify opportunities to increase revenue and accelerate business growth.

Analytics 246

Analytics Data Governance Optimization IT 246

CIO Business Intelligence

DECEMBER 20, 2024

Invest in core functions that perform data curation such as modeling important relationships, cleansing raw data, and curating key dimensions and measures. Optimize data flows for agility. Limit the times data must be moved to reduce cost, increase data freshness, and optimize enterprise agility.

Data Architecture 122

Data Architecture Management Consulting Internet of Things 122

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 Risk Data Lake 145

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

Alation

OCTOBER 5, 2021

What is data governance and how do you measure success? Data governance is a system for answering core questions about data. It begins with establishing key parameters: What is data, who can use it, how can they use it, and why? Why is your data governance strategy failing?

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

Alation

MAY 27, 2021

For data-driven enterprises, data governance is no longer an option; it’s a necessity. Businesses are growing more dependent on data governance to manage data policies, compliance, and quality. For these reasons, a business’ data governance approach is essential. Data Democratization.

Data Governance 98

Data Governance Data Quality Enterprise 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

TDAN

DECEMBER 5, 2023

Determining the optimal administrative placement for a data governance program, and specifically a Non-Invasive Data Governance program, is a pivotal decision that can significantly influence its success.

Data Governance 83

Data Governance Optimization Technology IT 83

AWS Big Data

JANUARY 15, 2025

For container terminal operators, data-driven decision-making and efficient data sharing are vital to optimizing operations and boosting supply chain efficiency. 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

erwin

MAY 17, 2021

erwin by Quest just released the “2021 State of Data Governance and Empowerment” report. This past year also saw a major shift as the silos between data governance, data operations and data protection diminished, with enterprises seeking to understand their data and the systems they use and secure to empower smarter decision-making.

Data Governance 99

Data Governance Data Quality Snapshot Reporting 99

CIO Business Intelligence

NOVEMBER 21, 2024

This is done through its broad portfolio of AI-optimized infrastructure, products, and services. Credit: Dell Technologies Fuel the AI factory with data : The success of any AI initiative begins with the quality of data. Behind the Dell AI Factory How does the Dell AI Factory support businesses’ growing AI ambitions?

IT 111

IT Cost-Benefit Optimization Manufacturing 111

erwin

FEBRUARY 4, 2021

Better decision-making has now topped compliance as the primary driver of data governance. However, organizations still encounter a number of bottlenecks that may hold them back from fully realizing the value of their data in producing timely and relevant business insights. Data Governance Bottlenecks. Regulations.

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89

BI-Survey

FEBRUARY 17, 2020

With the growing interconnectedness of people, companies and devices, we are now accumulating increasing amounts of data from a growing variety of channels. New data (or combinations of data) enable innovative use cases and assist in optimizing internal processes. However, effectively using data needs to be learned.

Data Governance 89

Data Governance Data Warehouse Data Quality Data Strategy 89

AWS Big Data

NOVEMBER 22, 2024

For example, instead of processing an entire dataset daily, dbt can be configured to transform only the data ingested in the last 24 hours, making data operations more efficient and cost-effective. Cost management and optimization – Because Athena charges based on the amount of data scanned by each query, cost optimization is critical.

Data Lake 83

Data Lake Data Warehouse Cost-Benefit Data Transformation 83

DataKitchen

APRIL 13, 2021

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. . Monte Carlo Data — Data reliability delivered. Data breaks. Process Analytics. Meta-Orchestration .

Testing 300

Testing Machine Learning Consulting Data Science 300

CIO Business Intelligence

NOVEMBER 29, 2022

Given the volume of data most organizations have, they need agile technologies that can provide a vast array of services to streamline content management and compliance, leverage automation to simplify data governance, and identify and optimize all of their company’s valuable data.

Data Governance 98

Data Governance Digital Transformation Forecasting Software 98

Cloudera

AUGUST 4, 2021

And if data security tops IT concerns, data governance should be their second priority. Not only is it critical to protect data, but data governance is also the foundation for data-driven businesses and maximizing value from data analytics. But it’s still not easy. But it’s still not easy.

Data Governance 86

Data Governance Metadata Data-driven Enterprise 86

AWS Big Data

OCTOBER 30, 2024

This new JDBC connectivity feature enables our governed data to flow seamlessly into these tools, supporting productivity across our teams.” Use case Amazon DataZone addresses your data sharing challenges and optimizes data availability. Follow him on LinkedIn.

Analytics 103

Analytics Visualization Data Governance Data-driven 103

CIO Business Intelligence

DECEMBER 5, 2024

Instead of overhauling entire systems, insurers can assess their API infrastructure to ensure efficient data flow, identify critical data types, and define clear schemas for structured and unstructured data. Incorporating custom knowledge graphs, enriched with domain expertise, further optimizes data consolidation.

Enterprise 105

Enterprise Insurance Unstructured Data Business Intelligence 105

Cloudera

NOVEMBER 13, 2024

Founded in 2016, Octopai offers automated solutions for data lineage, data discovery, data catalog, mapping, and impact analysis across complex data environments. It allows users to mitigate risks, increase efficiency, and make data strategy more actionable than ever before.

Metadata 90

Metadata Management Data Governance Data-driven 90

CIO Business Intelligence

MARCH 19, 2025

Yet, while businesses increasingly rely on data-driven decision-making, the role of chief data officers (CDOs) in sustainability remains underdeveloped and underutilized. Additionally, 97% of CDOs struggle to demonstrate business value from sustainability-focused AI initiatives.

IT 59

IT Data Governance Data-driven Metrics 59

Cloudera

SEPTEMBER 8, 2022

The management of data assets in multiple clouds is introducing new data governance requirements, and it is both useful and instructive to have a view from the TM Forum to help navigate the changes. . What’s new in data governance for telco? In the past, infrastructure was simply that — infrastructure.

Data Governance 79

Data Governance B2B Data Architecture IoT 79

CIO Business Intelligence

NOVEMBER 4, 2024

However, enterprise cloud computing still faces similar challenges in achieving efficiency and simplicity, particularly in managing diverse cloud resources and optimizing data management. A new cloud operating model Rising demand and increased choice require a new operational approach.

Finance 89

Finance Sales Reporting Optimization 89

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

O'Reilly on Data

MAY 21, 2019

You also need solutions that let you understand what data you have and who can access it. About a third of the respondents in the survey indicated they are interested in data governance systems and data catalogs. Marquez (WeWork) and Databook (Uber). How much model inference is involved in specific applications?

Machine Learning 279

Machine Learning Technology Deep Learning Data Science 279

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. This feature also supports metadata enforcement for subscription requests of a data product. For instructions on how to set this up, refer to Amazon DataZone data products.

Metadata 75

Metadata Data Governance Metrics Marketing 75

Cloudera

OCTOBER 19, 2022

For example, concerns about compliance with volatile data protection regulations, the need for multi-cloud capabilities, and the demands of enterprise customers (especially the government) require data architecture options. 2- AI capability drives data monetization. 3- Security and data governance are still the priority.

Optimization 78

Optimization Data Architecture Data Governance B2B 78

Cloudera

DECEMBER 20, 2022

Effective use of data can have a direct impact on the cash flow of wind and solar generation companies in areas such as real-time decision making. With the right insights, energy production from renewable assets can be optimized and better predict the future of supply and demand. Towards a better customer experience.

Optimization 81

Optimization Data Analytics Analytics Cost-Benefit 81

Cloudera

DECEMBER 17, 2024

High-velocity workloads like network data are best managed on-premises, where operators have more control and can optimize costs. Carriers need tools that enable them to monitor performance, optimize workload distribution, and ensure data governance across both on-premises and cloud environments.

Enterprise 62

Enterprise Data Architecture Data-driven Optimization 62

TDAN

JANUARY 31, 2023

Data inventory optimization is about efficiently solving the right problem. In this column, we will return to the idea of lean manufacturing and explore the critical area of inventory management on the factory floor.

Optimization 87

Optimization Manufacturing Management Metadata 87

erwin

SEPTEMBER 10, 2020

Not Documenting End-to-End Data Lineage Is Risky Busines – Understanding your data’s origins is key to successful data governance. Not everyone understands what end-to-end data lineage is or why it is important. Data Lineage Tells an Important Origin Story.

Data Governance 131

Data Governance Key Performance Indicator Metadata Digital Transformation 131

DataKitchen

NOVEMBER 18, 2021

In our survey, data engineers cited the following as causes of burnout: The relentless flow of errors. Restrictive data governance Policies. For see the entire results of the data engineering survey, please visit “ 2021 Data Engineering Survey: Burned-Out Data Engineers are Calling for DataOps.”.

Testing 246

Testing Data Governance Measurement Software 246

TDAN

NOVEMBER 20, 2024

A systems thinking approach to process control and optimization demands continual data quality feedback loops. Data quality approaches not utilizing these loops will fail to achieve the desired results, often worsening the problem. Data Governance is about gaining trust and […]

Data Governance 52

Data Governance Data Quality Optimization 52

datapine

DECEMBER 11, 2019

AI optimizes business processes, increasing productivity and efficiency while automating repetitive tasks and supporting human capabilities. More software providers will adopt a mobile-first mentality, optimizing their offerings to suit a host of mobile devices. 2) Vertical SaaS.

Software 314

Software Cost-Benefit Data-driven Data Processing 314

O'Reilly on Data

APRIL 2, 2019

So, why is this new open source project resonating with data scientists and machine learning engineers? Recall the following key attributes of a machine learning project: Unlike traditional software where the goal is to meet a functional specification , in ML the goal is to optimize a metric.

Machine Learning 260

Machine Learning Modeling Data Science Software 260