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

erwin

JANUARY 9, 2020

For decades, data modeling has been the optimal way to design and deploy new relational databases with high-quality data sources and support application development. Today’s data modeling is not your father’s data modeling software. So here’s why data modeling is so critical to data governance.

Data Governance 144

Data Governance Modeling Metadata Unstructured Data 144

Alation

FEBRUARY 14, 2023

And a data breach poses more than just a PR risk — by violating regulations like GDPR , a data leak can impact your bottom line, too. This is where successful data governance programs can act as a savior to many organizations. This begs the question: What makes data governance successful?

Data Governance 52

Data Governance ROI Metrics Cost-Benefit 52

IBM Big Data Hub

JANUARY 25, 2023

In our last blog , we introduced Data Governance: what it is and why it is so important. In this blog, we will explore the challenges that organizations face as they start their governance journey. Organizations have long struggled with data management and understanding data in a complex and ever-growing data landscape.

Data Governance 52

Data Governance Data-driven Strategy Management 52

Alation

FEBRUARY 10, 2021

The way enterprises implement data governance is changing. In the past, data governance either emphasized exercising tight control over data or fitting people into rigid roles and processes. With both approaches, data governance is a hurdle to productive data & analytics rather than an enabler.

Data Governance 52

Data Governance Data-driven Enterprise Risk 52

FineReport

MAY 31, 2023

Data Quality and Consistency : Maintaining data quality and consistency is essential for reliable financial insights. Inaccurate or inconsistent data can lead to erroneous conclusions and decisions. Data Security : Financial data is highly sensitive and requires robust security measures.

Dashboards 52

Dashboards Key Performance Indicator Metrics Visualization 52

Anmut

OCTOBER 29, 2020

Data governance - who's counting? The role of data governance. This large gap between reported figures raises tough questions on the reliability of COVID-19 tracking data. In dealing with situations like pandemic data, how important are aspects of data governance such as standardised definitions?

Data Governance 52

Data Governance Data Collection Data-driven Statistics 52

CDW Research Hub

MAY 29, 2019

Data governance helps organizations manage their information and answer questions about business performance, allowing them to better understand data, and govern it to mitigate compliance risks and empower information stakeholders. Checklist: Building an Enterprise Data Governance Program.

Data Governance 40

Data Governance Data Quality ROI Metadata 40

erwin

JANUARY 11, 2019

Organizations have spent a lot of time and money trying to harmonize data across diverse platforms , including cleansing, uploading metadata, converting code, defining business glossaries, tracking data transformations and so on. But the attempts to standardize data across the entire enterprise haven’t produced the desired results.

Data Governance 40

Data Governance Risk Metadata Management 40

erwin

DECEMBER 20, 2018

The driving factors behind data governance adoption vary. Whether implemented as preventative measures (risk management and regulation) or proactive endeavors (value creation and ROI), the benefits of a data governance initiative is becoming more apparent. Defining Data Governance. Data Governance 2.0

Data Governance 40

Data Governance ROI Risk Management Metadata 40

CIO Business Intelligence

JANUARY 24, 2024

At Vanguard, “data and analytics enable us to fulfill on our mission to provide investors with the best chance for investment success by enabling us to glean actionable insights to drive personalized client experiences, scale advice, optimize investment and business operations, and reduce risk,” Swann says.

Data Strategy 136

Data Strategy Strategy Unstructured Data Data Governance 136

CIO Business Intelligence

DECEMBER 19, 2023

Not surprisingly, nearly 50% of respondents identified data quality as the top challenge in realizing the potential of generative AI, which requires increasing the scope of dataops and data governance programs to include unstructured data sources and defining where to apply them in LLM experiments.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

erwin

DECEMBER 3, 2020

Ultra Mobile recently shared how it uses erwin Data Intelligence (erwin DI) as part of a modern, ongoing approach to data governance and therefore control versus chaos. To manage not only risk but also to grow and compete effectively requires the ability to deal with both planned and unplanned change.

Metadata 141

Metadata Data Governance Data-driven Digital Transformation 141

CIO Business Intelligence

MAY 10, 2023

Access to artificial intelligence ( AI ) and the drive for adoption by organizations is more prevalent now than it’s ever been, yet many companies are struggling with how to manage data and the overall process. The concept of AI model training relies on clean data which can be enforced through governance of the underlying data set.

Metadata 98

Metadata Data Governance Modeling Technology 98

erwin

AUGUST 6, 2020

With your employees connected and armed with data that paints a clear picture of the business, your organization is better prepared to turn its attention to whatever your strategic priority may be – i.e. digital transformation, customer experience, or withstanding this current (or future) crisis. So, what is data literacy?

Contextual Data 135

Contextual Data Data Governance Digital Transformation Metadata 135

Alation

JULY 15, 2022

I recently led an online session, Data Monetisation and Governance , looking at the evolution of data governance , defining data ethics (from the Turing Institute ), and touching on the balancing act between using data to monetise (by increasing revenue, decreasing spend, or mitigating risk) and meeting ethical obligations.

Cost-Benefit 89

Cost-Benefit Data Governance ROI Risk 89

erwin

OCTOBER 17, 2019

At erwin, we’re definitely witnessing this EA evolution as more and more as organizations undertake digital transformation initiatives, including rearchitecting their business models and value streams, as well as responding to increasing regulatory pressures. The Regulatory Rationale for Integrating Data Management & Data Governance.

Enterprise 106

Enterprise Digital Transformation Data Governance Risk Management 106

Cloudera

JANUARY 28, 2022

Then there are the more extensive discussions – scrutiny of the overarching, data strategy questions related to privacy, security, data governance /access and regulatory oversight. These are not straightforward decisions, especially when data breaches always hit the top of the news headlines.

Slice and Dice 114

Slice and Dice Cost-Benefit Risk Data Governance 114

CIO Business Intelligence

MARCH 4, 2024

Harmonizing these data sets with centralized enterprise data faces increasing challenges as shifts to data definitions, schema, and architecture require constant central data team efforts. These domain data leaders often cite the diminishing returns and significant effort of central data team engagement.

Insurance 98

Insurance Strategy Data Governance Data Integration 98

Alation

JUNE 14, 2021

And third is what factors CIOs and CISOs should consider when evaluating a catalog – especially one used for data governance. The Role of the CISO in Data Governance and Security. They want CISOs putting in place the data governance needed to actively protect data. So CISOs must protect data.

Data Governance 97

Data Governance Recreation/Entertainment Data Lake Digital Transformation 97

CIO Business Intelligence

MAY 10, 2023

We could do all that mapping and validation with you, but if the underlying data isn’t accurate, it has nothing to do with the mechanism which provides that. On data governance: We have 17 different ERP systems, and Novanta is a very acquisitive company, so it’s an ongoing challenge. It’s the clean-up effort.

Data-driven 120

Data-driven IT Digital Transformation Data Governance 120

CIO Business Intelligence

AUGUST 24, 2023

Gen AI has the potential to magnify existing risks around data privacy laws that govern how sensitive data is collected, used, shared, and stored. We’re getting bombarded with questions and inquiries from clients and potential clients about the risks of AI.” The risk is too high.”

Uncertainty 98

Uncertainty Risk Testing Enterprise 98

Cloudera

AUGUST 3, 2021

Advanced analytics empower risk reduction . Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. .

Analytics 111

Analytics Digital Transformation Forecasting Risk 111

Alation

OCTOBER 26, 2021

Although operations and sales departments tend to champion the use of data for business insight 3 , we’ve found that finance departments are often the first adopters of the Alation Data Catalog within an organization. This is because accurate data is “table stakes” for finance teams.

Finance 52

Finance Data Transformation Enterprise Metrics 52

CIO Business Intelligence

AUGUST 23, 2023

On delivering digitally: We can get incredibly prescriptive around narrow or broad definitions of digital as it pertains to our businesses. Some had a very precise definition, some had looser interpretations, and everything in between so we decided on four major areas where digital should deliver on business outcomes.

Data Strategy 98

Data Strategy Strategy B2B Digital Transformation 98

erwin

JUNE 26, 2020

It’s no surprise that most organizations’ data is often fragmented and siloed across numerous sources (e.g., legacy systems, data warehouses, flat files stored on individual desktops and laptops, and modern, cloud-based repositories.). This also diminishes the value of data as an asset.

Metadata 132

Metadata Cost-Benefit Measurement Data-driven 132

erwin

MARCH 30, 2020

It also will come from HL7 hospital data, claims administration systems, care management systems, the Medicaid Management Information System, etc. These numerous data types and data sources most definitely weren’t designed to work together. As a result, the data may be compromised, rendering faulty analyses and insights.

Metadata 122

Metadata IT Data Governance Data Quality 122

datapine

SEPTEMBER 29, 2022

Reporting being part of an effective DQM, we will also go through some data quality metrics examples you can use to assess your efforts in the matter. But first, let’s define what data quality actually is. What is the definition of data quality? This is also the point where data quality rules should be reviewed again.

Data Quality 241

Data Quality Metrics Data-driven Management 241

IBM Big Data Hub

FEBRUARY 23, 2024

Children’s data cannot be processed without parental consent, and organizations need mechanisms to verify the ages of data subjects and the identities of their parents. Each EEA state sets its own definition of “child” under the GDPR. Companies must be prepared to comply with these varying definitions.

Measurement 75

Measurement Risk Data Collection Data Processing 75

Alation

APRIL 18, 2023

For any data user in an enterprise today, data profiling is a key tool for resolving data quality issues and building new data solutions. In this blog, we’ll cover the definition of data profiling, top use cases, and share important techniques and best practices for data profiling today.

IT 52

IT Metadata Data Quality Data Governance 52

Cloudera

JUNE 7, 2023

By now, almost everyone across the tech landscape has heard of the Zero Trust (ZT) security model, which assumes that every device, application, or user attempting to access a network is not to be trusted (see NIST definitions below). But as models go, the idea is easier than the execution. How does Cloudera support the evolution to optimal?

Metadata 82

Metadata Data Lake Optimization Modeling 82

Alation

MARCH 8, 2022

They either can’t wait for someone else to find it or can’t explain exactly what they need, so they set off to search and dig and waste time looking for that data needle in the proverbial haystack. But they then risk using the wrong data, pulling others away from more important jobs, or making bad decisions based on bad data.

Analytics 52

Analytics Data Governance Data-driven Data Science 52

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

erwin

JUNE 19, 2020

Evaluating risks and the impacts of change and creating a roadmap with such evaluations considered. As part of the wider erwin Enterprise Data Governance Experience (EDGE), erwin Evolve lets organizations synergize their enterprise architecture with their data governance and management strategies.

Enterprise 130

Enterprise Data Architecture Strategy Data Governance 130

IBM Big Data Hub

JANUARY 22, 2024

Schools, hospitals and government agencies all fall under GDPR authority. The only data processing activities exempt from the GDPR are national security or law enforcement activities and purely personal uses of data. Useful definitions The GDPR uses some specific terminology.

Measurement 80

Measurement Risk Data Processing Data Collection 80

CIO Business Intelligence

APRIL 4, 2022

Several of these are highly regulated, have exacting data governance mandates and deal with huge and growing volumes of data essential to their daily and long-term business operations. These include annual risk assessments, regular penetration testing, maintaining proper logs and more.

Internet of Things 102

Internet of Things Risk Metrics Digital Transformation 102

CIO Business Intelligence

FEBRUARY 14, 2024

As the cost of data storage has fallen, many organizations are keeping unnecessary data, or cleaning up data that’s out of date or no longer useful after a migration or reorganization. But in other areas, IT teams will look to increase budgets and spending. But by 2027, the analyst firm expects that to rise to at least 40%.

IT 143

IT Metadata Data-driven Management 143