IBM Big Data Hub

DECEMBER 19, 2023

Rapidly deploying applications to cloud requires not just development acceleration with continuous integration, deployment and testing (CI/CD/CT), It also requires supply chain lifecycle acceleration, which involves multiple other groups such as governance risk and compliance (GRC), change management, operations, resiliency and reliability.

Data-driven 72

Data-driven Software Enterprise Testing 72

erwin

JUNE 26, 2020

These fragmented data environments make data governance a challenge since business stakeholders, data analysts and other users are unable to discover data or run queries across an entire data set. Managing a remote workforce creates new challenges and risks. Free Cloud App for Remote Workforce Management & Compliance.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

erwin

APRIL 2, 2021

Organizations are managing more data than ever. With more companies increasingly migrating their data to the cloud to ensure availability and scalability, the risks associated with data management and protection also are growing. Data is a valuable asset used to operate, manage and grow a business. erwin Data Intelligence.

Data Governance 106

Data Governance Cost-Benefit Risk Metadata 106

erwin

MAY 14, 2020

It is an ideal way to manage and track work in progress. Free eBook: Enterprise Architecture & Innovation Management. His goal was to make information and processes transparent to everybody and not just the management team – starting to see the relevance to enterprise architecture? Agility and Collaboration.

Enterprise 93

Enterprise Visualization Manufacturing ROI 93

IBM Big Data Hub

AUGUST 16, 2023

It is poised to transform businesses and industries, revolutionize how employees and other stakeholders collaborate, and drive digital transformation initiatives. With the right guidance and cost management approach, a cloud migration can and should decrease overall IT costs , while increasing operational efficiency and improving IT services.

Cost-Benefit 69

Cost-Benefit Data Processing Optimization Software 69

datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? However, with all good things comes many challenges and businesses often struggle with managing their information in the correct way. Enters data quality management. What Is Data Quality Management (DQM)? Why Do You Need Data Quality Management? Table of Contents.

Data Quality 241

Data Quality Metrics Data-driven Management 241

DataRobot

MARCH 10, 2021

In this blog post, I will focus on the use of the word autonomous , the dangers of using it with stakeholders, and, in the context of customer experience, the inaccurate perception that all things can be automated, eliminating the need for interactions between employees and customers. I quickly tagged that match as a false positive.

Experimentation 145

Experimentation Machine Learning Key Performance Indicator Reporting 145

erwin

APRIL 11, 2019

But starting position aside, every data-driven organization should strive for a better standard of data management — and not just for compliance sake. Effective compliance with new data protection regulations requires a robust understanding of the “what, where and who” in terms of data and the stakeholders with access to it (i.e.,

Insurance 100

Insurance Data-driven Data Governance Metadata 100

erwin

DECEMBER 12, 2019

So most early-stage data governance managers kick off a series of projects to profile data, make inferences about data element structure and format, and store the presumptive metadata in some metadata repository. Managing metadata should not be a sub-goal of data governance. What Is Metadata? Giving Metadata Meaning.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

AWS Big Data

JUNE 6, 2023

This is a guest blog post by Mira Daniels and Sean Whitfield from SumUp. We used the existing Google BigQuery Connector for Glue following parts of this blog post. We made sure to add appropriate tags for cost monitoring. We then check if the glue job already exists.

Analytics 55

Analytics Data Lake Testing Optimization 55

Alation

OCTOBER 5, 2021

For organizations to succeed in monitoring, managing, and optimizing their data resources, they must always keep the importance of their data-driven initiatives at the top of all strategic planning agendas. Management essentially talks the talk without walking the walk. Lack of commitment. Improper priorities. Incomplete data.

Data Governance 96

Data Governance Strategy Data Quality Metrics 96

erwin

DECEMBER 12, 2019

So most early-stage data governance managers kick off a series of projects to profile data, make inferences about data element structure and format, and store the presumptive metadata in some metadata repository. Managing metadata should not be a sub-goal of data governance. What Is Metadata? Giving Metadata Meaning.

Metadata 52

Metadata Data Governance Digital Transformation Data Quality 52

erwin

JANUARY 11, 2019

A company can’t effectively implement data governance – documenting and applying business rules and processes, analyzing the impact of changes and conducting audits – if it fails at data management. The problem usually starts by relying on manual integration methods for data preparation and mapping. Creating a High-Quality Data Pipeline.

Data Governance 40

Data Governance Risk Metadata Management 40

AWS Big Data

JUNE 29, 2023

Amazon Redshift is a fully managed, petabyte-scale data warehouse service in the cloud that delivers powerful and secure insights on all your data with the best price-performance. Conclusion Amazon Redshift is a powerful, fully managed data warehouse that can offer significantly increased performance and lower cost in the cloud.

Data Warehouse 59

Data Warehouse Dashboards Testing Visualization 59

IBM Big Data Hub

JULY 5, 2023

Asset lifecycle management (ALM) is a data-driven approach that many companies use to care for their assets, maximize their efficiency and increase their profitability. What is asset lifecycle management (ALM)? ALM is a strategic approach to managing physical assets that helps companies extract the most value from them over time.

Strategy 57

Strategy Management IoT Cost-Benefit 57

erwin

FEBRUARY 19, 2021

Metadata management is key to wringing all the value possible from data assets. Metadata management is the administration of data that describes other data, with an emphasis on associations and lineage. Identify and interrogate metadata from various data management silos. The Benefits of Metadata Management. Harvest data.

Metadata 110

Metadata Management Data Quality Cost-Benefit 110

IBM Big Data Hub

SEPTEMBER 13, 2023

Internal and external stakeholders need fast and accurate information at their fingertips to plan, manage and direct supply chains. They get contextual information as well as factual data (PDFs, visual images, RFID tags information). A question from a supply chain manager (“Where do I have excess inventory?”)

Visualization 74

Visualization Unstructured Data Interactive Technology 74

IBM Big Data Hub

JULY 13, 2023

Data quality and integrity are vital to a data-driven organization that employs analytics for business decisions, offers self-service data access for internal stakeholders and provides data offerings to customers. Collaboration and decision-making among stakeholders are improved because they all rely on the same data.

Data Quality 68

Data Quality Data Integration Metadata Cost-Benefit 68

IBM Big Data Hub

JANUARY 17, 2023

In 2023, we have four entry points aligned to common data & AI stakeholder challenges. The data governance capability of a data fabric focuses on the collection, management and automation of an organization’s data. We are also introducing IBM Cloud Park for Data Express. Start a trial. AI governance. Start a trial.

Data-driven 57

Data-driven Enterprise Data Governance Prescriptive Analytics 57

erwin

APRIL 21, 2020

By combining physical system catalogs, critical data elements, and key performance measures with clearly defined product and sales goals, you can manage the effectiveness of your business and ensure you understand what critical systems are for business continuity and measuring corporate performance. Put border controls in place.

Measurement 97

Measurement Sales Data Governance Metadata 97

erwin

APRIL 21, 2020

As COVID-19 continues to spread, organizations are evaluating and adjusting their operations in terms of both risk management and business continuity. So one of the biggest lessons we’re learning from COVID-19 is the need for data collection, management and governance. Managing a remote workforce creates new challenges and risks.

Measurement 96

Measurement Sales Data Governance Metadata 96

erwin

MARCH 18, 2021

The e-guide takes a deep dive into the evolving role of CDOs at financial organizations, tapping into the minds of 100+ financial global financial leaders and C-suite executives to look at the latest trends and provide a roadmap for developing an offensive data management strategy. COVID’s Impact on Data Management.

Management 82

Management Data Governance Metadata Risk 82

erwin

MARCH 18, 2021

The e-guide takes a deep dive into the evolving role of CDOs at financial organizations, tapping into the minds of 100+ financial global financial leaders and C-suite executives to look at the latest trends and provide a roadmap for developing an offensive data management strategy. COVID’s Impact on Data Management.

Management 64

Management Data Governance Metadata Risk 64

Alation

AUGUST 20, 2021

Today, businesses are learning they can scale data governance and management efforts using the cloud. Data Lineage by Tagging. Data lineage by tagging is sometimes called self-contained data lineage. Subscribe to Alation's Blog. And, as businesses migrate to the cloud, new capabilities emerge.

Metadata 52

Metadata Data Quality Data Governance Data-driven 52

IBM Big Data Hub

APRIL 21, 2023

It values sustainability metrics alongside environmental performance, paying particular attention to the “S” in ESG by looking at matters such as employee health, human rights, bribery, anti-corruption and diversity across management. Without a solid data foundation, managing and reporting such data can be challenging.

Reporting 44

Reporting Metrics Risk Strategy 44

DataRobot Blog

FEBRUARY 15, 2023

It is possible to manage the end-to-end AI lifecycle in one solution. The DataRobot AI catalog fosters collaboration by providing users a system of record for datasets, the ability to publish and share datasets with colleagues, tag datasets, and manage the lineage of the dataset throughout the entire project.

Modeling 52

Modeling Machine Learning Cost-Benefit Metrics 52

Occam's Razor

JANUARY 30, 2012

Nourish yourself with the "info snacks" the tool's engineers and product managers cooked up. So why is it that we don't spend time creating customized ones for our stakeholders? of the people who visit the Digital Marketing section of the blog do the same. Produce built-in visualization magic. But only 1.9%

Analytics 145

Analytics Dashboards Metrics Key Performance Indicator 145

Cloudera

OCTOBER 11, 2021

The platform converges data cataloging, data ingestion, data profiling, data tagging, data discovery, and data exploration into a unified platform, driven by metadata. Cloudera Data Engineering within CDP provides : Fully managed Spark-on-Kubernetes service that hides the complexity running production DE workloads at scale.

Data Lake 90

Data Lake Cost-Benefit Data-driven Dashboards 90

Laminar Security

OCTOBER 17, 2023

And unfortunately, you can’t protect or manage data you don’t know exists. Data Classification: Sometimes referred to as “tagging” or “labeling” the data, this process helps you determine what data you have and its sensitivity. Instead, we see CIOs, CISOs, and CPOs sharing this responsibility.

IT 94

IT Risk Cost-Benefit Dashboards 94

Alation

MARCH 24, 2022

In this blog, we’ll compare and contrast data privacy and security, and make the case that both are essential and complementary for an effective data governance program. In response, local and federal regulatory bodies have established data protection and privacy laws that require organizations to protect and properly manage PII.

Data Governance 52

Data Governance Risk Data-driven Measurement 52

erwin

NOVEMBER 6, 2020

Data Cataloging: Catalog and sync metadata with data management and governance artifacts according to business requirements in real time. Business Glossary Management: Curate, associate and govern data assets so all stakeholders can find data relevant to their roles and understand it within a business context.

Data Governance 97

Data Governance Metadata Data-driven Visualization 97

Alation

OCTOBER 4, 2022

How is Data Management Useful In Insurance? From a business perspective, insurers’ data management ensures data completeness and accuracy. Business insights : By supporting a deeper understanding of customers and prospects, leaders can make smarter, data-driven decisions about products, marketing, renewals, and claims management.

Insurance 52

Insurance Data Governance Risk Strategy 52

Alation

AUGUST 26, 2021

Search metadata: Supports tagging and keywords to help people find relevant data. Processing metadata: Describes transformations and derivations applied as data is managed through its lifecycle. In this way, active metadata fuels data intelligence within an enterprise and supports better data management. Master data management.

Metadata 64

Metadata Data Governance Dashboards Software 64

Alation

JANUARY 27, 2022

Large volumes of data have led to the development of data lakes , data warehouses, and data management systems. By controlling the management of data assets, businesses can ensure that data meets precise business rules and standards as it is entered into a system. Data governance forms the backbone of a good data management plan.

Data Governance 52

Data Governance Analytics Cost-Benefit Data-driven 52

Jet Global

SEPTEMBER 1, 2023

Economic fluctuations, regulatory shifts, and market volatility will impact financial results and necessitate thorough explanations in disclosures to provide context for stakeholders. Everything is managed across multiple locations, resulting in multiple copies of the same information.

Management 52

Management Finance Reporting Uncertainty 52

Jet Global

MARCH 4, 2024

Read our blog for more details information on CSRD requirement timelines. Many companies are investing in ESG reporting software to comply with regulations and stakeholder demands. Streamlined Data Management Feeling overwhelmed by the complexity of managing disparate ESG data sources for your CSRD compliance?

Reporting 52

Reporting Data-driven Software Risk 52