erwin

JULY 12, 2019

In light of recent, high-profile data breaches, it’s past-time we re-examined strategic data governance and its role in managing regulatory requirements. for alleged violations of the European Union’s General Data Protection Regulation (GDPR). Strengthen data security. How erwin Can Help. How erwin Can Help.

Data Governance 110

Data Governance Management Metadata Risk Management 110

Alation

NOVEMBER 22, 2022

What Is Data Governance In The Public Sector? Effective data governance for the public sector enables entities to ensure data quality, enhance security, protect privacy, and meet compliance requirements. With so much focus on compliance, democratizing data for self-service analytics can present a challenge.

Data Governance 52

Data Governance Metadata Data-driven Unstructured Data 52

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

Alation

OCTOBER 4, 2022

The foundation of insurance is data and analytics. Actuaries and their mathematical models enable insurers to calculate risk to determine premiums. Today, the rise of digital insurance companies and the changing risk landscape together drive the industry’s digital transformation. How is Data Management Useful In Insurance?

Insurance 52

Insurance Data Governance Risk Strategy 52

Alation

JUNE 7, 2021

Data governance helps business users make faster, more informed business decisions. But data governance can be difficult without the right tools and processes. One must answer core questions, like, What is data? The classic governance conundrum is one of balance. Regulatory Risk versus Data Democratization.

Data Governance 52

Data Governance Risk Metadata Enterprise 52

Alation

JUNE 17, 2021

Leading companies like Cisco, Nielsen, and Finnair turn to Alation + Snowflake for data governance and analytics. By joining forces, we can build more potent, tailored solutions that leverage data governance as a competitive asset. Lastly, active data governance simplifies stewardship tasks of all kinds.

Data Governance 98

Data Governance Data Lake Insurance Enterprise 98

O'Reilly on Data

APRIL 12, 2019

Balancing risk and reward is a necessary tension we'll need to understand as we continue our journey into the age of data. The Strata Data Conference in San Francisco was filled with speakers talking about opportunity. Machine learning grows out of your current data practices. What about the risks?

Risk 130

Risk Machine Learning Sales Data Governance 130

erwin

NOVEMBER 6, 2020

Prashant Parikh, erwin’s Senior Vice President of Software Engineering, talks about erwin’s vision to automate every aspect of the data governance journey to increase speed to insights. Although AI and ML are massive fields with tremendous value, erwin’s approach to data governance automation is much broader.

Data Governance 97

Data Governance Metadata Data-driven Visualization 97

Cloudera

AUGUST 4, 2021

And if data security tops IT concerns, data governance should be their second priority. Not only is it critical to protect data, but data governance is also the foundation for data-driven businesses and maximizing value from data analytics. But it’s still not easy. But it’s still not easy.

Data Governance 85

Data Governance Metadata Data-driven Enterprise 85

Alation

NOVEMBER 11, 2021

As IT leaders oversee migration, it’s critical they do not overlook data governance. Data governance is essential because it ensures people can access useful, high-quality data. Therefore, the question is not if a business should implement cloud data management and governance, but which framework is best for them.

Data Governance 52

Data Governance Data Quality Metrics Metadata 52

Alation

APRIL 6, 2023

Data governance is traditionally applied to structured data assets that are most often found in databases and information systems. Spreadsheets are not typically developed and managed for enterprise use, which opens the door to risk from malicious actors, as well as human errors.

Data Governance 52

Data Governance Metadata Cost-Benefit Structured Data 52

erwin

JANUARY 24, 2019

They need their data mappings to fall under governance and audit controls, with instant access to dynamic impact analysis and lineage. With an automation framework, data professionals can meet these needs at a fraction of the cost of the traditional manual way. Benefits of an Automation Framework for Data Governance.

Data Governance 71

Data Governance Metadata Data-driven Cost-Benefit 71

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

Octopai

JUNE 24, 2019

There are a number of scenarios that necessitate data governance tools. Businesses operating within strict industry regulations, utilizing analytics software, and/or regularly consolidating data in key subject areas will find themselves looking into data governance tools to help them achieve their goals.

Data Governance 42

Data Governance Metadata Unstructured Data Software 42

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

Cloudera

MARCH 14, 2023

They are being asked to deliver not just theoretical data strategies, but to roll up their sleeves and solve for the very real problems of disparate, heterogenous, and rapidly expanding data sources that make it a challenge to meet increasing business demand for data — and do it all while managing costs and ensuring security and data governance.

Cost-Benefit 78

Cost-Benefit Data-driven Risk Data Governance 78

erwin

JULY 22, 2020

Recently, I co-hosted a webinar with our client E.ON , a global energy company that reinvented how it conducts business from branding to customer engagement – with data as the conduit. There’s no doubt E.ON, based in Essen, Germany, has established one of the most comprehensive and successful data governance programs in modern business.

Data-driven 136

Data-driven Data Governance Digital Transformation Enterprise 136

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. Data Governance Is Not Just About Compliance.

Management 82

Management Data Governance Metadata Risk 82

IBM Big Data Hub

FEBRUARY 26, 2024

The financial services industry has been in the process of modernizing its data governance for more than a decade. But as we inch closer to global economic downturn, the need for top-notch governance has become increasingly urgent. Trust and data governance Data governance isn’t new, especially in the financial world.

Cost-Benefit 94

Cost-Benefit Metadata Data Governance Reporting 94

Laminar Security

JULY 19, 2023

By extending its support to include BigQuery, Laminar ensures that organizations can maintain a consistent and robust security posture while harnessing the power of data analytics. The Risk of “Shadow” Data While these tools offer immense possibilities, they also introduce certain risks.

Data Warehouse 91

Data Warehouse Data-driven Data Governance Risk 91

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. Data Governance Is Not Just About Compliance.

Management 64

Management Data Governance Metadata Risk 64

AWS Big Data

APRIL 29, 2024

This system simplifies managing user access, saves time for data security administrators, and minimizes the risk of configuration errors. Effective permission management helps tackle these challenges by controlling how data is accessed and used, providing data integrity and minimizing the risk of data breaches.

Management 98

Management Big Data Metadata Data Warehouse 98

erwin

APRIL 29, 2020

For example, capital markets trading firms must understand their data’s origins and history to support risk management, data governance and reporting for various regulations such as BCBS 239 and MiFID II. Data lineage offers proof that the data provided is reflected accurately. Data Governance.

Metadata 111

Metadata Data Governance Key Performance Indicator Data Quality 111

erwin

AUGUST 6, 2020

Good Data = Good Decisions. Without good data, it’s difficult to make good decisions. Data access, literacy and knowledge leads to sound decision-making and that’s key to data governance and any other data-driven effort. Data literacy enables collaboration and innovation.

Contextual Data 135

Contextual Data Data Governance Digital Transformation Metadata 135

IBM Big Data Hub

JUNE 29, 2023

By integrating financial planning with strategic and operational planning, organizations can evaluate financial profitability, identify potential gaps or risks, and make necessary adjustments to achieve financial targets. These tools enable the extraction, transformation, and loading (ETL) of data from various sources.

Key Performance Indicator 79

Key Performance Indicator Forecasting Data Integration Sales 79

Jet Global

FEBRUARY 29, 2024

Additionally, the manual nature of the approval process increases the risk of delays and inaccuracies, further complicating the budgeting workflow. 3) Data Fragmentation and Inconsistency Large organizations often grapple with disparate, ungoverned data sets scattered across various spreadsheets and systems.

Forecasting 52

Forecasting Reporting Data-driven Software 52

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

erwin

APRIL 9, 2020

As someone who works in data governance and intelligence , I’d like to look at three aspects of disaster planning and business continuity in particular. As a mitigation for this risk, my family has discussed how we will reunite should a disaster occur when we are outside the home. So how do businesses adapt to survive?

Metadata 132

Metadata Risk Data Governance IT 132

erwin

SEPTEMBER 6, 2021

No matter the percentage, dark data inhibits strategic and daily operational decision-making, increases organizational risk, reduces employee efficiency and lengthens the timelines of critical initiatives. To combat dark data and shine a light on available data, many organizations are turning to data intelligence software.

Enterprise 52

Enterprise Data Governance Dashboards Visualization 52

DataRobot

JANUARY 20, 2022

Specialized teams from DataRobot and Snowflake will enable ICSs to mitigate data governance and model bias risk with confidence. Public sector data sharing. ICSs can reduce the time taken to build population health registries and predictive models by up to 90 percent. Technology Alliance.

Data-driven 145

Data-driven Experimentation Modeling Predictive Modeling 145

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

AWS Big Data

JUNE 29, 2023

Therefore, over time, multiple Data Definition Language (DDL) or Data Control Language (DCL) queries, such as CREATE, ALTER, DROP, GRANT, or REVOKE SQL queries, are run on the Amazon Redshift data warehouse, which are sensitive in nature because they could lead to dropping tables or deleting data, causing disruptions or outages.

Data Warehouse 61

Data Warehouse Dashboards Testing Visualization 61

Alation

MARCH 24, 2022

Is your data protected? Both data privacy and data security are critical to mitigate financial, reputational, and compliance risks for enterprises. Understanding the similarities and differences between data security and data privacy is key to establishing a more robust compliance program. Compliance.

Data Governance 52

Data Governance Risk Data-driven Measurement 52

Alation

DECEMBER 9, 2021

Then, we’ll dive into the strategies that form a successful and efficient cloud transformation strategy, including aligning on business goals, establishing analytics for monitoring and optimization, and leveraging a robust data governance solution. Leverage a Data Governance Solution. What is Cloud Transformation?

Cost-Benefit 52

Cost-Benefit Data Governance Optimization Data Processing 52

DataRobot

DECEMBER 6, 2021

Meanwhile, clearly identified as an ongoing work in progress, the Government of Canada uses an Algorithmic Impact Assessment Tool. This mandatory risk assessment application is designed to help government departments and agencies better understand and manage the risks associated with automated decision systems.

Data-driven 52

Data-driven Risk Publishing Risk Management 52

Alation

FEBRUARY 10, 2022

Data classification is necessary for leveraging data effectively and efficiently. Effective data classification helps mitigate risk, maintain governance and compliance, improve efficiencies, and help businesses understand and better use data. Mitigate Security Risk.

Data Governance 52

Data Governance Risk Insurance Strategy 52

Alation

SEPTEMBER 29, 2021

The report found that, for organizations that aren’t great at using data, only 44% reported that they were at a moderate to significant risk of disruption by competitors who are better able to use data. On the other hand, for organizations with top-tier data cultures, 73% were aware of this critical, competitive risk.

Reporting 69

Reporting Uncertainty Data-driven Data Governance 69