erwin

OCTOBER 8, 2020

So if you’re going to move from your data from on-premise legacy data stores and warehouse systems to the cloud, you should do it right the first time. That means your cloud data assets must be available for use by the right people for the right purposes to maximize their security, quality and value.

Data Governance 145

Data Governance Metadata Testing Data Lake 145

AWS Big Data

APRIL 29, 2024

This post explores the deployment of Apache Ranger for permission management within the Hadoop ecosystem on Amazon EKS. We show how Ranger integrates with Hadoop components like Apache Hive, Spark, Trino, Yarn, and HDFS, providing secure and efficient data management in a cloud environment.

Management 92

Management Big Data Metadata Data Warehouse 92

Alation

AUGUST 9, 2022

On top of this, we’re living through the age of big data , where more information is being processed and stored by organisations that also have to manage regulations. But in the four years since it came into force, have companies reached their full potential for data integrity? What is data integrity?

Data Integration 52

Data Integration Data Quality Measurement Strategy 52

Data Virtualization

MARCH 7, 2024

Reading Time: 3 minutes As we move deeper into 2024, it is imperative for data management leaders to look in their rear-view mirrors to assess and, if needed, refine their data management strategies. One thing is clear; if data-centric organizations want to succeed in.

Management 59

Management Data Integration Strategy Data Lake 59

CIO Business Intelligence

APRIL 29, 2022

Despite soundings on this from leading thinkers such as Andrew Ng , the AI community remains largely oblivious to the important data management capabilities, practices, and – importantly – the tools that ensure the success of AI development and deployment. Recommendations for Data and AI Leaders. Addressing the Challenge.

Data Governance 144

Data Governance IT Risk Data Lake 144

Octopai

JUNE 26, 2020

In order to figure out why the numbers in the two reports didn’t match, Steve needed to understand everything about the data that made up those reports – when the report was created, who created it, any changes made to it, which system it was created in, etc. Enterprise data governance. Metadata in data governance.

Metadata 84

Metadata Data Governance Enterprise Reporting 84

Data Virtualization

JANUARY 25, 2024

Reading Time: 3 minutes As we head into 2024, it is imperative for data management leaders to look in their rear-view mirrors to assess and, if needed, refine their data management strategies.

Management 59

Management Data Integration Strategy Data Lake 59

IBM Big Data Hub

AUGUST 24, 2022

The only question is, how do you ensure effective ways of breaking down data silos and bringing data together for self-service access? It starts by modernizing your data integration capabilities – ensuring disparate data sources and cloud environments can come together to deliver data in real time and fuel AI initiatives.

Data Integration 86

Data Integration Metadata Data-driven Data Architecture 86

IBM Big Data Hub

JANUARY 5, 2023

Both approaches were typically monolithic and centralized architectures organized around mechanical functions of data ingestion, processing, cleansing, aggregation, and serving. Enhance trust in data by getting visibility into where data came from, how it has changed, and who is using it.

Data Quality 52

Data Quality Data Architecture Strategy Data Lake 52

Data Virtualization

DECEMBER 9, 2021

But do you wonder what the future of data strategy looks like? Data exploration and analysis can bring enormous value to a business. The post The Future of Data Strategy appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

Data Strategy 52

Data Strategy Strategy Data Integration Management 52

AWS Big Data

NOVEMBER 15, 2023

For organizations seeking to unlock innovation with data and AI, AWS re:Invent 2023 offers several opportunities. Attendees will discover services, strategies, and solutions for tackling any data challenge. million data points per second. You will leave inspired and equipped to use data like never before.

Broadcasting 111

Broadcasting Recreation/Entertainment Data Governance Strategy 111

Cloudera

DECEMBER 1, 2023

One notable example of a government initiative that has shaped the AI landscape is the United States’ federal AI strategy. Launched in 2019, this strategy aims to position the US as a leader in AI research, development, and deployment. This strategy has spurred a wave of AI innovation within the public sector.

Data Governance 111

Data Governance Data-driven Strategy Data Architecture 111

erwin

JANUARY 3, 2019

With this in mind, the erwin team has compiled a list of the most valuable data governance, GDPR and Big data blogs and news sources for data management and data governance best practice advice from around the web. Big Data Batman (@BigDataBatman) January 29, 2019. The erwin Expert Network.

Data Governance 53

Data Governance Big Data Data-driven Data Processing 53

erwin

JANUARY 11, 2019

But the attempts to standardize data across the entire enterprise haven’t produced the desired results. 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.

Data Governance 40

Data Governance Risk Metadata Management 40

FineReport

APRIL 9, 2024

Challenges in Data Management Data Security and Compliance The protection of sensitive patient information and adherence to regulatory standards pose significant challenges in healthcare data management.

Digital Transformation 52

Digital Transformation Business Intelligence Data-driven Visualization 52

IBM Big Data Hub

MAY 9, 2022

A confluence of events in the data management and AI landscape is bearing down on companies, no matter their size, industry or geographical location. Some of these, such as the continued sprawl of data across multicloud environments have been looming for years, if not decades. Multicloud data integration.

Management 56

Management Data Quality Metadata Data Integration 56

Data Virtualization

FEBRUARY 29, 2024

The 2024 report evaluates Denodo and 14 other data fabric vendors in terms of their current offerings, strategy, and market presence.

Enterprise 52

Enterprise Data Integration Reporting Strategy 52

O'Reilly on Data

FEBRUARY 4, 2019

In a recent survey , we explored how companies were adjusting to the growing importance of machine learning and analytics, while also preparing for the explosion in the number of data sources. Data Platforms. Data Integration and Data Pipelines. Data preparation, data governance, and data lineage.

Machine Learning 277

Machine Learning Enterprise IoT Big Data 277

IBM Big Data Hub

JUNE 29, 2023

Integrated planning incorporates supply chain planning, demand planning, and demand forecasts so the company can quickly assess the impact on inventory levels, supply chain logistics, production plans, and customer service capacity. Strategic planning Integrated Business Planning starts with strategic planning.

Key Performance Indicator 83

Key Performance Indicator Forecasting Data Integration Sales 83

Octopai

MAY 15, 2023

How can you save your organizational data management and hosting cost using automated data lineage. Do you think you did everything already to save organizational data management costs? What kind of costs organization has that data lineage can help with? Well, you probably haven’t done this yet!

Data Quality 52

Data Quality Data Governance Data Integration Risk 52

CIO Business Intelligence

NOVEMBER 21, 2023

Ask IT leaders about their challenges with shadow IT, and most will cite the kinds of security, operational, and integration risks that give shadow IT its bad rep. That’s where an IT strategy that frames shadow IT as an opportunity for improved collaboration can have a profound impact.

IT 133

IT Risk Cost-Benefit Risk Management 133

CIO Business Intelligence

JANUARY 5, 2024

Until then, the IT part of Radisson was considered a cost center, but thanks to that plan, it became a central pillar of the group’s strategy. Also during the pandemic, we completely restructured and created every IT element the company needed: new ERP, purchasing systems, hotel management systems, and HR systems, for example.

IT 108

IT Finance Cost-Benefit Strategy 108

CIO Business Intelligence

AUGUST 2, 2023

A data and analytics capability cannot emerge from an IT or business strategy alone. With both technology and business organization deeply involved in the what, why, and how of data, companies need to create cross-functional data teams to get the most out of it. That strategy is doomed to fail. What are the layers?

Manufacturing 87

Manufacturing Data Architecture Strategy Data Strategy 87

erwin

JANUARY 17, 2020

In the modern context, data modeling is a function of data governance. While data modeling has always been the best way to understand complex data sources and automate design standards, modern data modeling goes well beyond these domains to accelerate and ensure the overall success of data governance in any organization.

Data-driven 138

Data-driven Modeling Metadata Data Governance 138

FineReport

APRIL 9, 2024

Additionally, BI tools enable organizations to adopt a data-driven approach to strategy formulation, leading to more informed decision-making at all levels. Data Integration : One of the fundamental aspects to consider is the ability of BI platforms to seamlessly integrate data from various sources.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

IBM Big Data Hub

NOVEMBER 4, 2022

However, data quality and consistency are one of the top barriers faced by organizations in their quest to become more data-driven. So, it is imperative to have a clear data quality strategy that relies on proactive data quality management as data moves from producers to consumers. Data Governance.

Data Quality 56

Data Quality Metadata Data Governance Data-driven 56

CIO Business Intelligence

MAY 2, 2022

Srinivasan will share Petco’s ongoing data journey at CIO’s Future of Data Summit , taking place virtually May 10-11. Focusing on creating the intelligent organization, the event will gather technology executives to discuss both strategy and concrete implementation tactics.

Advertising 87

Advertising Data Governance Insurance Strategy 87

IBM Big Data Hub

JUNE 12, 2023

People analytics is at the center of human resources (HR) strategy and planning. Companies rely heavily on data and analytics to find and retain talent, drive engagement, improve productivity and more across enterprise talent management. Data quality is also critical for data governance.

Data Quality 68

Data Quality Data Governance People Analytics Data-driven 68

CIO Business Intelligence

FEBRUARY 16, 2023

My vision is that I can give the keys to my businesses to manage their data and run their data on their own, as opposed to the Data & Tech team being at the center and helping them out,” says Iyengar, director of Data & Tech at Straumann Group North America. The offensive side?

Unstructured Data 103

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 103

erwin

DECEMBER 12, 2019

Metadata is an important part of data governance, and as a result, most nascent data governance programs are rife with project plans for assessing and documenting metadata. But in many scenarios, it seems that the underlying driver of metadata collection projects is that it’s just something you do for data governance.

Metadata 84

Metadata Data Governance Digital Transformation Data Quality 84

Data Virtualization

AUGUST 4, 2022

Reading Time: 3 minutes Last month, IDC announced that LeasePlan, a car-as-a-service company, was the winner of IDC’s European Data Strategy and Innovation awards, in the category of Data Management Excellence, for LeasePlan’s logical data fabric. This is a testament to the maturity of.

Data Strategy 52

Data Strategy Data Integration Strategy Management 52

IBM Big Data Hub

JULY 13, 2022

This data proliferation has made it harder than ever before to trust your data: knowing where it came from, how it has changed, and who is using it. Data provenance is a complexity facing many clients engaged in data governance-related use cases. What’s next?

Metadata 64

Metadata Data Governance Data Quality Data Integration 64

FineReport

MAY 31, 2023

The balance sheet plays a vital role in internal management, helping companies fine-tune their business strategies and prevent misuse. By comparing the current ratio, quick ratio, and cash flow ratio, companies can assess their current operational status and determine necessary actions to align with their business strategies.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

Octopai

JANUARY 31, 2021

Data lineage is an essential tool that among other benefits, can transform insights, help BI teams understand the root cause of an issue, as well as help achieve and maintain compliance. Through the use of data lineage, companies can better understand their data and its journey. Data Engineering Podcast. A-Team Insight.

Data Governance 57

Data Governance Data Processing Data Quality Metadata 57

Timo Elliott

MAY 17, 2023

They manage renowned apparel brands such as Hanes and Champion. The company is currently implementing a strategy named “Full Potential.” This strategy is grounded in a comprehensive technology transformation. Coparaju mentioned several tools and strategies they have utilized in partnership with SAP.

Manufacturing 105

Manufacturing Recreation/Entertainment Technology Strategy 105

Alation

JUNE 2, 2022

In part one of this series, I discussed how data management challenges have evolved and how data governance and security have to play in such challenges, with an eye to cloud migration and drift over time. Governing and Tracking ML/AI: The Rise of XAI. However, governance processes are equally important.

Modeling 52

Modeling Data Governance Statistics Unstructured Data 52

CDW Research Hub

JANUARY 28, 2022

In today’s data-driven world, your storage architecture must be able to store, protect and manage all sources and types of data while scaling to manage the exponential growth of data created by IoT, videos, photos, files, and apps. Rely on data classification.

Digital Transformation 86

Digital Transformation Data-driven IoT Optimization 86