Blockchain is a technology that allows information to be recorded while protecting data against tampering, thereby maintaining integrity. While blockchain records information like a database, it differs from a traditional database in that it stores data in blocks that are linked as chains and are theoretically immutable. Capabilities of Blockchain That Enable or Disable Data […]
DAS Slides: Data Governance — Aligning Technical and Business Approaches
Data Governance — Aligning Technical and Business Approaches from DATAVERSITY To view just the On Demand webinar of this presentation, click HERE>> About the Webinar Data Governance can have a varied definition, depending on the audience. To many, data governance consists of committee meetings and stewardship roles. To others, it focuses on technical data management and […]
DAS Webinar: Data Governance — Aligning Technical and Business Approaches
To view just the slides of this presentation, click HERE >> About the Webinar Data Governance can have a varied definition, depending on the audience. To many, data governance consists of committee meetings and stewardship roles. To others, it focuses on technical data management and controls. Holistic data governance combines both of these aspects, and a […]
Building a Grassroots Data Management and Data Governance Program
Many in enterprise Data Management know the challenges that rapid business growth can present. Whether through acquisition or organic growth, the amount of enterprise data coming into the organization can feel exponential as the business hires more people, opens new locations, and serves new customers. The enterprise IT team, in particular, plays a significant role […]
What Is Data Cleansing?
Data cleansing (aka data cleaning or data scrubbing) is the act of making system data ready for analysis by removing inaccuracies or errors. This process prevents questionable and costly business decisions based on messy data. Data volumes and sources have grown much bigger and are expected to scale up even quicker. Companies wish to access […]
Knowledge Graphs for Robust Data Governance
More data, more sources, more conflicts. More self-service reporting, more cross-functional analytics, more government and industry regulations. Without a way to govern all the data in their possession, businesses are not going to do well at creating reports or dashboards or building data consensus across departments. Nor will they feel confident that they’re not missing […]
RWDG Webinar: Convincing Stakeholders Data Governance Is Essential
To view just the slides of this presentation, click HERE>> About the Webinar Organizations are investing heavily in becoming data-centric. Data Governance practitioners must begin to deploy effective Data Governance techniques to support these investments. One of these techniques is to tackle the problem of convincing stakeholders that Data Governance is necessary. This webinar will help […]
RWDG Slides: Convincing Stakeholders Data Governance Is Essential
Convincing Stakeholders Data Governance Is Essential from DATAVERSITY To view just the On Demand webinar of this presentation, click HERE>> About the Webinar Organizations are investing heavily in becoming data-centric. Data Governance practitioners must begin to deploy effective Data Governance techniques to support these investments. One of these techniques is to tackle the problem of convincing […]
5 Common Data Governance Challenges (and How to Overcome Them)
It’s common for enterprises to run into challenges such as lack of data visibility, problems with data security, and low Data Quality. But despite the dangers of poor data ethics and management, many enterprises are failing to take the steps they need to overcome Data Governance challenges. Let’s break down some of today’s biggest Data Governance challenges […]
The Little Red Data Hen – A Cautionary Tale
Click to learn more about author Scott Taylor. The Data Rants video blog series begins with host Scott Taylor “The Data Whisperer.” The series covers some of the most prominent questions in Data Management, such as master data, the difference between master data and MDM, “truth” versus “meaning” in data, Data Quality, and so much more. […]