erwin

MAY 20, 2020

Data governance (DG) as a an “emergency service” may be one critical lesson learned coming out of the COVID-19 crisis. Organizations need to understand what the most critical operational activities are and the most impactful projects that need to proceed. Deploying a Data Governance Strategy.

Data Governance 144

Data Governance Metadata Risk Strategy 144

DataKitchen

SEPTEMBER 20, 2021

Data organizations don’t always have the budget or schedule required for DataOps when conceived as a top-to-bottom, enterprise-wide transformational change. DataOps can and should be implemented in small steps that complement and build upon existing workflows and data pipelines. Figure 1 shows the four phases of Lean DataOps.

Testing 246

Testing Metrics Measurement Dashboards 246

datapine

FEBRUARY 22, 2022

1) What Is A Business Intelligence Strategy? Over the past 5 years, big data and BI became more than just data science buzzwords. In response to this increasing need for data analytics, business intelligence software has flooded the market. What Is A Business Intelligence Strategy? Table of Contents.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

datapine

NOVEMBER 19, 2019

No matter if you need to conduct quick online data analysis or gather enormous volumes of data, this technology will make a significant impact in the future. The modern world is changing more and more quickly with each passing year. The solution? To keep abreast of current changes – at least at a level of basic understanding.

Technology 279

Technology Internet of Things IT IoT 279

erwin

FEBRUARY 13, 2020

When an organization’s data governance and metadata management programs work in harmony, then everything is easier. Data governance is a complex but critical practice. Data Governance Attitudes Are Shifting. Data Governance Attitudes Are Shifting. Metadata Management Takes Time.

Metadata 135

Metadata Data Governance Management Cost-Benefit 135

datapine

SEPTEMBER 29, 2022

1) What Is Data Quality Management? 4) Data Quality Best Practices. 5) How Do You Measure Data Quality? 6) Data Quality Metrics Examples. 7) Data Quality Control: Use Case. 8) The Consequences Of Bad Data Quality. 9) 3 Sources Of Low-Quality Data. 10) Data Quality Solutions: Key Attributes.

Data Quality 241

Data Quality Metrics Data-driven Management 241

Domino Data Lab

AUGUST 6, 2021

In the world of machine learning (ML) and artificial intelligence (AI), governance is a lifelong pursuit. As such, model governance needs to be applied to each model for as long as it’s being used. What Is Model Governance? What Is Model Governance? Purpose of Model Governance and Why It’s Important.

Machine Learning 145

Machine Learning Modeling Testing Data Science 145

erwin

DECEMBER 6, 2019

In the data-driven era, CIO’s need a solid understanding of data governance 2.0 … Data governance (DG) is no longer about just compliance or relegated to the confines of IT. Today, data governance needs to be a ubiquitous part of your organization’s culture. Collaborative Data Governance.

Data Governance 145

Data Governance Metadata Enterprise Data-driven 145

Smart Data Collective

OCTOBER 25, 2020

Machine learning and other big data technology has played an important role in the direction of the market. This blog discusses cryptocurrency transactions and whether or not they’re secure. Experts and governments have mentioned that cryptos are ideal ways of carrying out illegal activities. Can they be traced?

Machine Learning 145

Machine Learning Big Data Publishing Technology 145

datapine

MARCH 25, 2019

In our data-rich age, understanding how to analyze and extract true meaning from the digital insights available to our business is one of the primary drivers of success. Despite the colossal volume of data we create every day, a mere 0.5% is actually analyzed and used for data discovery , improvement, and intelligence.

Key Performance Indicator 217

Key Performance Indicator Statistics Big Data Visualization 217

erwin

FEBRUARY 6, 2020

As organizations deal with managing ever more data, the need to automate data management becomes clear. Last week erwin issued its 2020 State of Data Governance and Automation (DGA) Report. One piece of the research that stuck with me is that 70% of respondents spend 10 or more hours per week on data-related activities.

Management 144

Management Data Governance Cost-Benefit Metadata 144

erwin

SEPTEMBER 3, 2020

Why should you integrate data governance (DG) and enterprise architecture (EA)? Data governance provides time-sensitive, current-state architecture information with a high level of quality. Data governance provides time-sensitive, current-state architecture information with a high level of quality.

Data Governance 144

Data Governance Enterprise Risk Data Lake 144

DataKitchen

FEBRUARY 2, 2023

We’ve read many predictions for 2023 in the data field: they cover excellent topics like data mesh, observability, governance, lakehouses, LLMs, etc. What will the world of data tools be like at the end of 2025? What will exist at the end of 2025? ’ They are data enabling vs. value delivery.

Metadata 130

Metadata Testing Data Science Risk 130

DataKitchen

JANUARY 5, 2021

Remote working has revealed the inconsistency and fragility of workflow processes in many data organizations. The data teams share a common objective; to create analytics for the (internal or external) customer. Data Science Workflow – Kubeflow, Python, R. Data Engineering Workflow – Airflow, ETL.

Testing 147

Testing Data Governance Metadata Visualization 147

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

Alation

JANUARY 19, 2023

The words “ data governance ” and “fun” are seldom spoken together. The term data governance conjures images of restrictions and control that result in an uphill challenge for most programs and organizations from the beginning. Or they are spending too much time preparing the data for proper use.

Data Governance 94

Data Governance IT Metadata Recreation/Entertainment 94

Smart Data Collective

SEPTEMBER 8, 2021

More and more businesses and organizations treat data as an essential asset. The importance of managing and leveraging data cannot be overestimated. The problem is that data can easily take enormous proportions. Thus, finding and isolating relevant data is a daunting task. AI-Powered Tools Can Speed Up Data Analytics.

Data-driven 141

Data-driven Data Analytics Analytics Marketing 141

erwin

MARCH 4, 2021

Modern data governance is a strategic, ongoing and collaborative practice that enables organizations to discover and track their data, understand what it means within a business context, and maximize its security, quality and value. The What: Data Governance Defined. Where is it?

Data Governance 122

Data Governance Digital Transformation Data-driven Cost-Benefit 122

Alation

JUNE 17, 2021

We’re so proud to join this growing community of leaders in data, where we plan to deliver more value to our joint customers for years to come. Leading companies like Cisco, Nielsen, and Finnair turn to Alation + Snowflake for data governance and analytics. Data migration , too, is much easier with both platforms.

Data Governance 98

Data Governance Data Lake Insurance Enterprise 98

erwin

MARCH 25, 2021

erwin recently hosted the second in its six-part webinar series on the practice of data governance and how to proactively deal with its complexities. Led by Frank Pörschmann of iDIGMA GmbH, an IT industry veteran and data governance strategist, the second webinar focused on “ The Value of Data Governance & How to Quantify It.”.

Data Governance 109

Data Governance Cost-Benefit IT Risk 109

Alation

JULY 19, 2021

What Is Metadata? Metadata is information about data. An asset alone is just the tip of the iceberg; metadata tells you “what lies beneath.”. An asset alone is just the tip of the iceberg; metadata tells you “what lies beneath.”. Chris Bulock, co-author of Knowledge and Dignity in the Era of “Big Data”.

Metadata 105

Metadata Management Data Governance Machine Learning 105

Alation

JUNE 14, 2021

The Role of Catalog in Data Security. Recently, I dug in with CIOs on the topic of data security. Recently, I dug in with CIOs on the topic of data security. What came as no surprise was the importance CIOs place on taking a broader approach to data protection. The Role of the CISO in Data Governance and Security.

Data Governance 97

Data Governance Recreation/Entertainment Data Lake Metadata 97

IBM Big Data Hub

MAY 31, 2024

Recent research commissioned by IBM® indicates that as many as 42% of surveyed enterprise-scale businesses have actively deployed AI, while an additional 40% are actively exploring the use of AI technology. But tax agencies must adopt AI tools with adequate oversight and governance to mitigate risks and build public trust.

Cost-Benefit 98

Cost-Benefit Risk Risk Management Reporting 98

IBM Big Data Hub

MARCH 25, 2022

To simplify data access and empower users to leverage trusted information, organizations need a better approach that provides better insights and business outcomes faster, without sacrificing data access controls. There are many different approaches, but you’ll want an architecture that can be used regardless of your data estate.

Metadata 104

Metadata Data Quality Data Governance Data Integration 104

erwin

MARCH 19, 2020

What Makes Up An Enterprise Architecture Framework? Usually, an overarching enterprise architecture process, composed of phases, breaks into lower-level processes composed of finer grained activities. A process is defined by its objectives, inputs, phases (steps or activities) and outputs.

Enterprise 145

Enterprise Visualization Digital Transformation Management 145

DataRobot Blog

JULY 22, 2022

You need to know where your deployed models are, what they do, the data they use, the results they produce, and who relies upon their results. That requires a good model governance framework. They may not have been documented, tested, or actively monitored and maintained. Future Models. Using DataRobot MLOps. White Paper.

Modeling 105

Modeling Risk Management Testing Machine Learning 105

erwin

SEPTEMBER 17, 2020

Replace manual and recurring tasks for fast, reliable data lineage and overall data governance. It’s paramount that organizations understand the benefits of automating end-to-end data lineage. The importance of end-to-end data lineage is widely understood and ignoring it is risky business.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

DataKitchen

JUNE 7, 2021

If you are a CDO or a VP, you have the power to institute broad change, but what if you are an individual contributor? What can you do? This is a common question that we hear from our conversations with data scientists, engineers and analysts. There are over 70 vendors that would be happy to assist in your DataOps initiative.

Testing 130

Testing IT Data-driven Measurement 130

Cloudera

FEBRUARY 11, 2022

However, to understand what Ethical AI is, we need to have at least a basic understanding of ML, ML models and the data science lifecycle and how they are related. This blog post hopes to provide this foundational understanding. What is Machine Learning. Instead, they are learned by training a model on data.

Machine Learning 97

Machine Learning Sales Data Science Deep Learning 97

Cloudera

MAY 27, 2021

This blog post was written by Pedro Pereira as a guest author for Cloudera. . Big data and AI amplify the problem. “If Big data algorithms are smart, but not smart enough to solve inherently human problems. Right now, someone somewhere is writing the next fake news story or editing a deepfake video. Transparency is key.

Machine Learning 119

Machine Learning Big Data Consulting Technology 119

Cloudera

AUGUST 5, 2021

In our previous blog, we talked about the four paths to Cloudera Data Platform. . If you haven’t read that yet, we invite you to take a moment and run through the scenarios in that blog. As we touched on in the previous blog, the decision to upgrade or migrate may seem difficult to evaluate at first glance.

Testing 119

Testing Risk Finance Reporting 119

datapine

MAY 2, 2019

Modern dashboard software makes it simpler than ever to merge and visualize data in a way that’s as inspiring as it is accessible. Knowing who your audience is will help you to determine what data you need. Knowing what story you want to tell (analyzing the data) tells you which data visualization type to use.

Visualization 173

Visualization Dashboards Sales Data-driven 173

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 Security Starts with Data Governance. Who is authorized to use it and how?

Data Governance 106

Data Governance Cost-Benefit Metadata Risk 106

Alation

FEBRUARY 3, 2022

What do all these disciplines have in common? What Is Continuous Improvement? The goal of DataOps is to create predictable delivery and change management of data and all data-related artifacts. So how does data governance relate to DataOps? Data governance is a key data management process.

Data Governance 98

Data Governance Measurement Metadata Testing 98

Cloudera

OCTOBER 7, 2021

In this blog, I will demonstrate the value of Cloudera DataFlow (CDF) , the edge-to-cloud streaming data platform available on the Cloudera Data Platform (CDP) , as a Data integration and Democratization fabric. Introduction to the Data Mesh Architecture and its Required Capabilities. Components of a Data Mesh.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

Sisense

JULY 6, 2020

We live in a world of data: there’s more of it than ever before, in a ceaselessly expanding array of forms and locations. Dealing with Data is your window into the ways Data Teams are tackling the challenges of this new world to help their companies and their customers thrive. Employing Enterprise Data Management (EDM).

Enterprise 98

Enterprise Management Data Architecture Data-driven 98

Cloudera

SEPTEMBER 29, 2020

Performance is one of the key, if not the most important deciding criterion, in choosing a Cloud Data Warehouse service. In today’s fast changing world, enterprises have to make data driven decisions quickly and for that they rely heavily on their data warehouse service. . Cloudera Data Warehouse vs HDInsight.

Data Warehouse 120

Data Warehouse Metadata Data-driven Machine Learning 120