A Data Governance Self-Assessment Test
TDAN
MARCH 16, 2021
The purpose of this article is to provide a model to conduct a self-assessment of your organization’s data environment when preparing to build your Data Governance program. Take the […].
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TDAN
MARCH 16, 2021
The purpose of this article is to provide a model to conduct a self-assessment of your organization’s data environment when preparing to build your Data Governance program. Take the […].
CIO Business Intelligence
FEBRUARY 6, 2025
As someone deeply involved in shaping data strategy, governance and analytics for organizations, Im constantly working on everything from defining data vision to building high-performing data teams. My work centers around enabling businesses to leverage data for better decision-making and driving impactful change.
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CIO Business Intelligence
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So end to end, our strategic priority has stood the test of time. On the enterprise data strategy: I am a self-admitted data geek. When you leverage internal data, you need governance around that data. That’s how data governance is critical to our organization and analytics are a way to unlock value.
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Alation
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We closed three of our own data centers and went entirely to the cloud with several providers, and we also assembled a new data strategy to completely restructure the company, from security and finance, to hospitality and a new website. You mentioned assembling a new data strategy to restructure the company.
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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.
Alation
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It asks much larger questions, which flesh out an organization’s relationship with data: Why do we have data? Why keep data at all? Answering these questions can improve operational efficiencies and inform a number of data intelligence use cases, which include data governance, self-service analytics, and more.
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They created satellite offices, used shadow IT and unwittingly put information governance at risk. The challenges of the coronavirus emergency and economic crunch has caused many organizations to go into survival mode.
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Our theme was, “ Alation Is the Treasure Map to You Data ,” but the real treasure was the people we met and the connections we made to move the industry forward. Our 3 main takeaways from the event were: Focus on data outcomes (and align them to your mission!). Embrace data governance. Focus on Data Outcomes.
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DECEMBER 9, 2024
But how can delivering an intelligent data foundation specifically increase your successful outcomes of AI models? And do you have the transparency and data observability built into your data strategy to adequately support the AI teams building them?
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JUNE 6, 2022
Alation has been working hard to help all Snowflake users get the most out of their Data Cloud. Data Governance for Every Workload. Alation helps everyone understand and leverage their data by making that data accessible to everyone. Knowing how to use the data is essential. And we have a lot to share.
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Paco Nathan ‘s latest column dives into data governance. This month’s article features updates from one of the early data conferences of the year, Strata Data Conference – which was held just last week in San Francisco. In particular, here’s my Strata SF talk “Overview of Data Governance” presented in article form.
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AWS Big Data
AUGUST 14, 2023
In the same way, overly restrictive data governance practices that either prevent data products from taking root at all, or pare them back too aggressively (deforestation), can over time create “data deserts” that drive both the producers and consumers of data within an organization to look elsewhere for their data needs.
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The gold standard in data modeling solutions for more than 30 years continues to evolve with its latest release, highlighted by: PostgreSQL 16.x More accessible Git integration enhances support for a structured approach to managing data models, which is crucial for effective data governance.
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SageMaker Lakehouse unified data connectivity provides a connection configuration template, support for standard authentication methods like basic authentication and OAuth 2.0, connection testing, metadata retrieval, and data preview.
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So, there’s a lot of data out there and it’s very hard to figure out what data to use. And so that process with curation or identifying which data potentially is a leading indicator and then test those leading indicators. But it’s not a real easy process.
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A new approach to wicked problems is taking root: data-sharing partnerships that accelerate the innovation of solutions for shared problems. In this article, we will explore how organizations can […].
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And even when it’s not required, monitoring can help keep data activities compliant with data protection policies (as with compliance monitoring ). Organizations can also use it to test the effectiveness of proposed security measures.
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Absent governance and trust, the risks are higher as organizations adopt increasingly sophisticated analytics. Without rock-solid data foundations, even the most advanced ML models merely provide artful analysis. Getting the right data governance significantly affects operational efficiency and risk as well.
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Specific solutions like IBM, K2view, Oracle and Informatica will revolutionize data masking by offering scale-based, real-time, context-aware masking. Unlike traditional masking methods, their solution ensures that the data remains usable for testing, analytics, and development without exposing the actual values.
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This post dives into the technical details, highlighting the robust data governance framework that enables ease of access to quality data using Amazon DataZone. The first section of this post discusses how we aligned the technical design of the data solution with the data strategy of Volkswagen Autoeuropa.
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Because core data has resided in LeeSar’s legacy system for more than a decade, “a fair amount of effort was required to ensure we were bringing clean data into the Oracle platform, so it has required an IT and functional team partnership to ensure the data is accurate as it is migrated.”
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The data mesh, built on Amazon DataZone , simplified data access, improved data quality, and established governance at scale to power analytics, reporting, AI, and machine learning (ML) use cases. After the right data for the use case was found, the IT team provided access to the data through manual configuration.
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