erwin

JANUARY 17, 2020

Data modeling is a process that enables organizations to discover, design, visualize, standardize and deploy high-quality data assets through an intuitive, graphical interface. Data models provide visualization, create additional metadata and standardize data design across the enterprise. SQL or NoSQL?

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

erwin

DECEMBER 9, 2024

And do you have the transparency and data observability built into your data strategy to adequately support the AI teams building them? Will the new creative, diverse and scalable data pipelines you are building also incorporate the AI governance guardrails needed to manage and limit your organizational risk?

Metadata 52

Metadata Data Quality Sales Modeling 52

TDAN

NOVEMBER 15, 2022

At the recent InfoGovWorld conference, I had the opportunity to participate in a panel discussion about the future of Data Governance. Common themes were the growing importance of governance metadata, especially in the areas of business value, success measurement and reduction in operational and data risk.

Metadata 52

Metadata Management Data Governance Measurement 52

Alation

MARCH 14, 2023

Data gathering and use pervades almost every business function these days — and it’s widely acknowledged that businesses with a clear strategy around data are best placed to succeed in competitive, challenging markets such as defence. What is a data strategy? Why is a data strategy important?

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52

AWS Big Data

MARCH 26, 2024

A Gartner Marketing survey found only 14% of organizations have successfully implemented a C360 solution, due to lack of consensus on what a 360-degree view means, challenges with data quality, and lack of cross-functional governance structure for customer data. Then, you transform this data into a concise format.

Data Strategy 78

Data Strategy Strategy Data Warehouse Prescriptive Analytics 78

IBM Big Data Hub

JUNE 30, 2022

The rise of data strategy. There’s a renewed interest in reflecting on what can and should be done with data, how to accomplish those goals and how to check for data strategy alignment with business objectives. The evolution of a multi-everything landscape, and what that means for data strategy.

Data Strategy 56

Data Strategy Strategy Business Objectives Data-driven 56

Alation

APRIL 19, 2021

With a good plan and a modern data catalog, you can minimize the time and cost of cloud migration. Source: Webinar with data expert Ibby Rahmani: Emerging Trends in Data Architecture: What’s the Next Big Thing? Alation & Global Data Strategy). Data Strategy Drives Cloud Strategy.

Cost-Benefit 111

Cost-Benefit Strategy Enterprise Data Strategy 111

TDAN

APRIL 6, 2021

There are also emerging concerns about the ways that big data analytics potentially influence and bias automated decision-making. Individuals are starting to pay attention to organizational vulnerabilities that compound risks associated with managing, protecting, and enabling access […].

Risk Management 64

Risk Management Risk Management Big Data 64

Cloudera

JULY 20, 2021

Once companies are able to leverage their data they’re then able to fuel machine learning and analytics models, transforming their business by embedding AI into every aspect of their business. . Build your data strategy around the convergence of software and hardware. Airline schedules and pricing algorithms.

Manufacturing 106

Manufacturing Forecasting IoT Insurance 106

Cloudera

AUGUST 17, 2022

It is a simple, yet powerful, cloud service that will accelerate data science programs with built-in enterprise security and machine learning (ML). It also requires zero cloud, security, or monitoring operations staff for a dramatically lower TCO and reduced risk. . CDP One Built on Firsts. Secure single tenant cloud infrastructure.

Analytics 116

Analytics Data-driven Machine Learning Data Science 116

CIO Business Intelligence

DECEMBER 16, 2022

These included metadata design and development, quantitative analysis, regression analysis, continuous integration, data analytics, data strategy, identity and access management, machine learning, natural language processing, and more.

Testing 98

Testing Metadata Data Processing Machine Learning 98

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 discoverability Unlike structured data, which is managed in well-defined rows and columns, unstructured data is stored as objects.

Data Governance 109

Data Governance Unstructured Data Metadata Data Lake 109

Alation

DECEMBER 15, 2021

This uncovers actionable intelligence, maintains compliance with regulations, and mitigates risks. Let’s explore the key steps for building an effective data governance strategy. What is a Data Governance Strategy? At the same time, it enhances data security and compliance programs. Defensive vs Offensive.

Data Governance 52

Data Governance Strategy Metadata Data Strategy 52

AWS Big Data

JULY 14, 2023

Consumers prioritized data discoverability, fast data access, low latency, and high accuracy of data. These inputs reinforced the need of a unified data strategy across the FinOps teams. We decided to build a scalable data management product that is based on the best practices of modern data architecture.

Finance 90

Finance Metadata Big Data Recreation/Entertainment 90

Alation

AUGUST 26, 2021

What Is Data Intelligence? Data intelligence is a system to deliver trustworthy, reliable data. It includes intelligence about data, or metadata. IDC coined the term, stating, “data intelligence helps organizations answer six fundamental questions about data.” Yet finding data is just the beginning.

Metadata 64

Metadata Data Governance Dashboards Software 64

AWS Big Data

AUGUST 14, 2023

At the same time, unstructured approaches to data mesh management that don’t have a vision for what types of products should exist and how to ensure they are developed are at high risk of creating the same effect through simple neglect. When do new data products get created, and who is allowed to create them?

Management 86

Management Risk Measurement Optimization 86

Alation

OCTOBER 5, 2021

Yet, so many companies today are still failing miserably in implementing data strategy and governance protocols. Why is your data governance strategy failing? So, why is YOUR data governance strategy failing? Common data governance challenges. Top 3 Roadblocks to Successful Data Governance.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

AWS Big Data

DECEMBER 19, 2024

The business end-users were given a tool to discover data assets produced within the mesh and seamlessly self-serve on their data sharing needs. The integration of Databricks Delta tables into Amazon DataZone is done using the AWS Glue Data Catalog.

Data Governance 52

Data Governance Publishing Data-driven Metadata 52

AWS Big Data

JULY 28, 2023

Data dependencies – Personal data can be interconnected and intertwined with other data systems, making it challenging to remove specific data without impacting the integrity of functionality of other systems or processes. Ensuring the complete removal of data from all these copies and backups can be challenging.

Snapshot 90

Snapshot Metadata Measurement Data Warehouse 90

Alation

NOVEMBER 22, 2022

When using a data governance tool, like a data catalog , entities can find deprecated or outdated data, which is not fit for wider consumption or analysis. With data governance, public sector entities mitigate fraud risk by aggregating data across registers to ensure consistency. Reuse metadata productively.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52

Octopai

JUNE 9, 2024

This challenge is especially critical for executives responsible for data strategy and operations. Here’s how automated data lineage can transform these challenges into opportunities, as illustrated by the journey of a health services company we’ll call “HealthCo.” This is where Octopai excels.

IT 52

IT Data-driven Predictive Analytics Data Strategy 52

Alation

MAY 10, 2021

Folks who work with data face these challenges every day. A data catalog helps people find, understand, trust, and govern data. The catalog gathers metadata, (or data about data), to add context to every asset. In phase one, an enterprise must create a data strategy , which will inform later plans.

Strategy 80

Strategy Enterprise Data Strategy Data Governance 80

Alation

JULY 6, 2021

There are new ways to quickly and effectively overcome these data governance challenges. A person or team with influence must take responsibility for reducing data governance risks. They should have resources, tools for connectivity and integration, and insights into data usage and needs. Not all are data literate!

Data Governance 52

Data Governance Metadata Data Quality Risk 52

Alation

MAY 31, 2023

Ensure data security and compliance. Define data requirements and policies. Select and implement data tools and technologies. Collaborate on data strategy with business and IT leaders. Identify and address data issues. Lead or contribute to data-related projects and initiatives.

Data Governance 52

Data Governance Metadata Data Architecture Data Quality 52

IBM Big Data Hub

JUNE 8, 2022

Implementing the right data strategy spurs innovation and outstanding business outcomes by recognizing data as a critical asset that provides insights for better and more informed decision-making. Why you should automate data governance and how a data fabric architecture helps.

Data-driven 56

Data-driven Enterprise Data Governance Data Lake 56

TDAN

JANUARY 19, 2021

In October 2020, the Office of the Comptroller of the Currency (OCC) announced a $400 million civil monetary penalty against Citibank for deficiencies in enterprise-wide risk management, compliance risk management, data governance, and internal controls.

Data Governance 80

Data Governance Risk Management Risk Management 80

Alation

MARCH 28, 2023

With data becoming more prevalent in every industry, organisations have to determine how to not only manage it but also drive value from it. The MoD identify three key issues: firstly, that ‘Defence data operates in contractual, technical and behavioural silos’. The defence industry is no exception.

Metadata 52

Metadata Data Strategy Data Quality Strategy 52

AWS Big Data

APRIL 3, 2024

They recognize the importance of accurate, complete, and timely data in enabling informed decision-making and fostering trust in their analytics and reporting processes. Amazon DataZone data assets can be updated at varying frequencies. You can also update an existing data source to enable data quality.

Data Quality 103

Data Quality Visualization Metadata Metrics 103

AWS Big Data

APRIL 26, 2023

Having an accurate and up-to-date inventory of all technical assets helps an organization ensure it can keep track of all its resources with metadata information such as their assigned oners, last updated date, used by whom, how frequently and more. This is a guest blog post co-written with Corey Johnson from Huron.

Metadata 52

Metadata Dashboards Visualization Consulting 52

Domino Data Lab

APRIL 3, 2019

Data governance shows up as the fourth-most-popular kind of solution that enterprise teams were adopting or evaluating during 2019. That’s a lot of priorities – especially when you group together closely related items such as data lineage and metadata management which rank nearby. for DG adoption in the enterprise.

Machine Learning 84

Machine Learning Data Governance Metadata Data Science 84

IBM Big Data Hub

MARCH 14, 2024

This involves unifying and sharing a single copy of data and metadata across IBM® watsonx.data ™, IBM® Db2 ®, IBM® Db2® Warehouse and IBM® Netezza ®, using native integrations and supporting open formats, all without the need for migration or recataloging.

Cost-Benefit 75

Cost-Benefit Metadata Optimization Management 75

AWS Big Data

JULY 16, 2024

Priority 2 logs, such as operating system security logs, firewall, identity provider (IdP), email metadata, and AWS CloudTrail , are ingested into Amazon OpenSearch Service to enable the following capabilities. She currently serves as the Global Head of Cyber Data Management at Zurich Group.

Insurance 123

Insurance Management Cost-Benefit Optimization 123

Ontotext

MAY 2, 2024

They are expected to understand the entire data landscape and generate business-moving insights while facing the voracious needs of different teams and the constraints of technology architecture and compliance. Evolution of data approaches The data strategies we’ve had so far have led to a lot of challenges and pain points.

Metadata 52

Metadata Data Lake Data-driven Enterprise 52

Alation

DECEMBER 8, 2022

It’s true that data governance is related to compliance and access controls, supporting privacy and protection regulations such as HIPAA, GDPR, and CCPA. Yet data governance is also vital for leveraging data to make business decisions. The Data Governance Market: Evolution and Dynamics. Data privacy and protection.

Data Governance 52

Data Governance Data-driven Reporting Strategy 52

Alation

NOVEMBER 11, 2021

This framework maintains compliance and democratizes data. It enables collaboration, even as your data landscape grows larger and more complex. Active data governance improves efficiency, minimizes security risks, and improves the quality and usability of data. Data Sovereignty and Cross?Border

Data Governance 52

Data Governance Data Quality Metrics Metadata 52

TDAN

JUNE 6, 2023

While these technologies have immense potential to benefit organisations and society, they also bring with them an equal, if not greater, risk of […]

Risk 75

Risk Modeling Technology Metadata 75

Cloudera

JANUARY 5, 2023

What is certain is that having an enterprise data strategy aligned to the organization’s cloud strategy and business priorities will help the organization drive greater business value by improving operational efficiencies and unlocking new revenue streams.

Cost-Benefit 52

Cost-Benefit Business Objectives Machine Learning Data Architecture 52