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Obsessive-Compulsive Data Quality (OCDQ) Radio
Podcast

Obsessive-Compulsive Data Quality (OCDQ) Radio

20
5

Obsessive-Compulsive Data Quality (OCDQ) Radio is a vendor-neutral podcast about data quality and its related disciplines, including data governance, master data management, and business intelligence. This podcast is the audio complement to ocdqblog.com and provides a platform for recorded discussions with great folks working in the data management industry. OCDQ Radio is produced and hosted by Jim Harris.

Obsessive-Compulsive Data Quality (OCDQ) Radio is a vendor-neutral podcast about data quality and its related disciplines, including data governance, master data management, and business intelligence. This podcast is the audio complement to ocdqblog.com and provides a platform for recorded discussions with great folks working in the data management industry. OCDQ Radio is produced and hosted by Jim Harris.

20
5

2014 International Data Quality Summit

Conference co-chairs Joy Medved of IAIDQ and Melissa Hildebrand of ECCMA discuss the 2014 International Data Quality Summit (idqsummit.org) being held October 6-9 in historic Richmond, Virginia.
Internet and technology 11 years
0
0
3
26:56

The Visual Organization

During this episode, special guest Phil Simon discusses concepts from his book "The Visual Organization: Data Visualization, Big Data, and the Quest for Better Decisions"
Internet and technology 11 years
0
0
2
29:45

What is Metadata?

During this short episode, special guest John Owens discusses the difference between metadata and data, explaining that metadata describes the context, structure, and format, whereas data describes the values.
Internet and technology 11 years
0
0
1
13:53

Gaining a Competitive Advantage with Data

Special guest William McKnight discusses concepts from his book "Information Management: Strategies for Gaining a Competitive Advantage with Data", including how every business is in the business of information, information management is the continuous activity of architecture, data quality is the absence of intolerable defects, and good information management will not take the place of the skills and experience of the people involved.
Internet and technology 12 years
0
0
1
31:16

Spatial Data Quality

Special guest Clarence Hempfield discusses aspects of spatial data quality, including the three types of spatial data types (points, lines, and polygons), data quality issues that can affect them, business applications of spatial data for enterprise location intelligence, and how mobile devices are driving the consumerization of geographic information systems (GIS).
Internet and technology 12 years
0
0
1
35:36

Total Information Risk Management

Special guest Dr. Alexander Borek, the inventor of Total Information Risk Management (TIRM) and the leading expert on how to apply risk management principles to data management, discusses his book "Total Information Risk Management: Maximizing the Value of Data and Information Assets."
Internet and technology 12 years
0
0
1
35:27

Data Quality Project Management

Special guest Adam Cox discusses data quality project management, avoiding data quality becoming an afterthought on data integration and data migration projects, the difference and relationship between data ownership and data stewardship, regulatory requirements for data quality, and the importance of getting buy-in from business stakeholders.
Internet and technology 12 years
0
0
2
19:59

Measuring Data Quality for Ongoing Improvement

Special guest Laura Sebastian-Coleman, author of the book "Measuring Data Quality for Ongoing Improvement: A Data Quality Assessment Framework," discusses bringing together a better understanding of what is represented in data, and how it is represented, with the expectations for use in order to improve the overall quality of data.
Internet and technology 12 years
0
0
1
36:02

Too Big to Ignore

Special guest Phil Simon, author of "Too Big to Ignore: The Business Case for Big Data," shares his sage advice for getting started with big data, including the importance of having a data-oriented mindset, that ambitious long-term goals should give way to more reasonable and attainable short-term objectives, and always remembering that big data is just another means toward solving business problems.
Internet and technology 12 years
0
0
0
20:13

Doing Data Governance

Special guest John Ladley, the author of the book “Data Governance: How to Design, Deploy and Sustain an Effective Data Governance Program,” discusses the difference and relationship between data governance and information management, the importance of establishing principles before creating policies, data stewardship, and three critical success factors for data governance.
Internet and technology 12 years
0
0
4
34:59

Demystifying Data Science

Special guest Dr. Melinda Thielbar, a Ph.D. Statistician, explains what a data scientist does, including the requisite skills involved, bridging the communication gap between data scientists and business leaders, delivering data products business users can use on their own, and providing a straightforward explanation of key concepts such as signal-to-noise ratio, uncertainty, experimentation, and correlation.
Internet and technology 12 years
0
0
7
48:17

Open Source Business Intelligence

Special guest Lyndsay Wise, author of the book “Using Open Source Platforms for Business Intelligence”, discusses the considerations for evaluating whether open source business intelligence (OSBI) is the right choice for your organization.
Internet and technology 13 years
0
0
4
25:54

The Evolution of Enterprise Security

Special guest Bill Laberis discusses the evolution of enterprise security in the era of cloud computing and mobile devices, including the myths and realities of cloud computing, leveraging existing security best practices, defining BYOD policies, and striking a balance between convenience and security.
Internet and technology 13 years
0
0
0
24:02

Cloud Computing for Midsize Businesses

Special guest Ed Abrams (Vice President of Marketing, IBM Midmarket) discusses aspects of the recently launched IBM global initiatives to help Managed Service Providers (MSP) deliver cloud-based service offerings.
Internet and technology 13 years
0
0
0
16:44

Social Media for Midsize Businesses

Special guest Paul Gillin discusses social media for midsize businesses, including how the less marketing you do, the more effective you will be with social media marketing, the war of generosity, where the more you give, the more you get, and the importance of the trust equation, which means the more people trust you, the more they will want to do business with you.
Internet and technology 13 years
0
0
0
24:10

Demystifying Master Data Management

Special guest John Owens discusses the three types of data (Transaction, Domain, Master) and the four master data entities (Party, Product, Location, Asset), as well as, and perhaps the most important concept of all, the Party-Role Relationship, which is where we find many of the terms commonly used to describe the Party master data entity (e.g., Customer, Supplier, Employee).
Internet and technology 13 years
0
0
0
26:46

Saving Private Data

Special guest Daragh O Brien discusses the data privacy and data protection implications of social media, cloud computing, and big data.
Internet and technology 13 years
0
0
0
18:56

Solvency II and Data Quality

Special guest Ken O’Connor discusses the Solvency II standards for data quality, and how its European insurance regulatory requirement of “complete, appropriate, and accurate” data represents common sense standards for all businesses.
Internet and technology 13 years
0
0
0
30:16

The Data Governance Imperative

Special guest Steve Sarsfield discusses concepts from his book “The Data Governance Imperative” including the characteristics of a data champion and creating effective data quality scorecards.
Internet and technology 13 years
0
0
0
21:59

Data Quality and Big Data

Special guest Dr. Thomas C. Redman (the “Data Doc”) discusses data quality and big data, including if data quality matters less in larger data sets, and if statistical outliers represent business insights or data quality issues.
Internet and technology 13 years
0
0
0
30:37
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