November 15, 2012

Open MIKE Podcast — Episode 07

November 15, 2012/ Jim Harris

Method for an Integrated Knowledge Environment (MIKE2.0) is an open source delivery framework for Enterprise Information Management, which provides a comprehensive methodology that can be applied across a number of different projects within the Information Management space. For more information, click on this link: openmethodology.org/wiki/What_is_MIKE2.0

The Open MIKE Podcast is a video podcast show, hosted by Jim Harris, which discusses aspects of the MIKE2.0 framework, and features content contributed to MIKE 2.0 Wiki Articles, Blog Posts, and Discussion Forums.

Episode 07: Guiding Principles for the Open Semantic Enterprise

If you’re having trouble viewing this video, you can watch it on Vimeo by clicking on this link: Open MIKE Podcast on Vimeo

MIKE2.0 Content Featured in or Related to this Podcast

Semantic Enterprise Guiding Principles: openmethodology.org/wiki/Guiding_Principles_for_the_Open_Semantic_Enterprise *

* Based on Mike Bergman’s article: mkbergman.com/859/seven-pillars-of-the-open-semantic-enterprise

Semantic Enterprise Composite Offering: openmethodology.org/wiki/Semantic_Enterprise_Composite_Offering

Semantic Enterprise Wiki Category: openmethodology.org/wiki/Category:Semantic_Enterprise

You can also find the videos and blog post summaries for every episode of the Open MIKE Podcast at: ocdqblog.com/MIKE

Open MIKE Podcast — Episode 04: Metadata Management

You Say Potato and I Say Tater Tot

The Metadata Continuum

The Metadata Crisis

DQ-View: MetaData makes BettahMusic

Metadata, Data Quality, and the Stroop Test

Data Quality and the Q Test

Data and its Relationships with Quality

What’s the Meta with your Data?

Let’s Meta a Data

Listen to Peter Benson discuss Metadata, Data, and Information on the Knights of the Data Roundtable

October 31, 2012

Open MIKE Podcast — Episode 06

October 31, 2012/ Jim Harris

Episode 06: Getting to Know NoSQL

If you’re having trouble viewing this video, you can watch it on Vimeo by clicking on this link: Open MIKE Podcast on Vimeo

MIKE2.0 Content Featured in or Related to this Podcast

Big Data Solution Offering: openmethodology.org/wiki/Big_Data_Solution_Offering

Preparing for NoSQL: openmethodology.org/wiki/Preparing_for_NoSQL

Hadoop and the Enterprise Debates: openmethodology.org/wiki/Hadoop_and_the_Enterprise_Debates

Big Data Definition: openmethodology.org/wiki/Big_Data_Definition

Big Sensor Data: openmethodology.org/wiki/Big_sensor_data

You can also find the videos and blog post summaries for every episode of the Open MIKE Podcast at: ocdqblog.com/MIKE

Data Management: The Next Generation

Is DW before BI going Bye-Bye?

Our Increasingly Data-Constructed World

Dot Collectors and Dot Connectors

HoardaBytes and the Big Data Lebowski

OCDQ Radio - Data Quality and Big Data

Exercise Better Data Management

A Tale of Two Datas

Big Data Lessons from Orbitz

The Graystone Effects of Big Data

Will Big Data be Blinded by Data Science?

Magic Elephants, Data Psychics, and Invisible Gorillas

Big Data el Memorioso

Information Overload Revisited

Finding a Needle in a Needle Stack

Darth Vader, Big Data, and Predictive Analytics

Swimming in Big Data

The Big Data Theory

Big Data: Structure and Quality

Sometimes it’s Okay to be Shallow

October 18, 2012

Open MIKE Podcast — Episode 05

October 18, 2012/ Jim Harris

Episode 05: Defining Big Data

If you’re having trouble viewing this video, you can watch it on Vimeo by clicking on this link: Open MIKE Podcast on Vimeo

MIKE2.0 Content Featured in or Related to this Podcast

Big Data Definition: openmethodology.org/wiki/Big_Data_Definition

Big Sensor Data: openmethodology.org/wiki/Big_sensor_data

Hadoop and the Enterprise Debates: openmethodology.org/wiki/Hadoop_and_the_Enterprise_Debates

Preparing for NoSQL: openmethodology.org/wiki/Preparing_for_NoSQL

Big Data Solution Offering: openmethodology.org/wiki/Big_Data_Solution_Offering

You can also find the videos and blog post summaries for every episode of the Open MIKE Podcast at: ocdqblog.com/MIKE

Our Increasingly Data-Constructed World

Dot Collectors and Dot Connectors

HoardaBytes and the Big Data Lebowski

OCDQ Radio - Data Quality and Big Data

Exercise Better Data Management

A Tale of Two Datas

Big Data Lessons from Orbitz

The Graystone Effects of Big Data

Will Big Data be Blinded by Data Science?

Magic Elephants, Data Psychics, and Invisible Gorillas

Big Data el Memorioso

Information Overload Revisited

Finding a Needle in a Needle Stack

Darth Vader, Big Data, and Predictive Analytics

Why Can’t We Predict the Weather?

Swimming in Big Data

The Big Data Theory

Big Data: Structure and Quality

Sometimes it’s Okay to be Shallow

Small Data and VRM

September 27, 2012

Open MIKE Podcast — Episode 04

September 27, 2012/ Jim Harris

Episode 04: Metadata Management

If you’re having trouble viewing this video, you can watch it on Vimeo by clicking on this link: Open MIKE Podcast on Vimeo

MIKE2.0 Content Featured in or Related to this Podcast

Information Asset Management: openmethodology.org/wiki/Information_Asset_Management_Offering_Group

Metadata Management Solution Offering: openmethodology.org/wiki/Metadata_Management_Solution_Offering

You can also find the videos and blog post summaries for every episode of the Open MIKE Podcast at: ocdqblog.com/MIKE

You Say Potato and I Say Tater Tot

The Metadata Continuum

The Metadata Crisis

DQ-View: MetaData makes BettahMusic

Metadata, Data Quality, and the Stroop Test

Data Quality and the Q Test

Data and its Relationships with Quality

What’s the Meta with your Data?

Let’s Meta a Data

Listen to Peter Benson discuss Metadata, Data, and Information on the Knights of the Data Roundtable

September 13, 2012

Open MIKE Podcast — Episode 03

September 13, 2012/ Jim Harris

Episode 03: Data Quality Improvement and Data Investigation

If you’re having trouble viewing this video, you can watch it on Vimeo by clicking on this link: Open MIKE Podcast on Vimeo

MIKE2.0 Content Featured in or Related to this Podcast

Enterprise Data Management: openmethodology.org/wiki/Enterprise_Data_Management_Offering_Group

Data Quality Improvement: openmethodology.org/wiki/Data_Quality_Improvement_Solution_Offering

Data Investigation: openmethodology.org/wiki/Category:Data_Investigation_and_Re-Engineering

You can also find the videos and blog post summaries for every episode of the Open MIKE Podcast at: ocdqblog.com/MIKE

August 30, 2012

Open MIKE Podcast — Episode 02

August 30, 2012/ Jim Harris

Episode 02: Information Governance and Distributing Power

If you’re having trouble viewing this video, you can watch it on Vimeo by clicking on this link: Open MIKE Podcast on Vimeo

MIKE2.0 Content Featured in or Related to this Podcast

Information Governance: openmethodology.org/wiki/Information_Governance_Solution_Offering

Governance 2.0: openmethodology.org/wiki/Governance_2.0_Solution_Offering

You can also find the videos and blog post summaries for every episode of the Open MIKE Podcast at: ocdqblog.com/MIKE

August 16, 2012

Open MIKE Podcast — Episode 01

August 16, 2012/ Jim Harris

Episode 01: Information Management Principles

If you’re having trouble viewing this video, you can watch it on Vimeo by clicking on this link: Open MIKE Podcast on Vimeo

MIKE2.0 Content Featured in or Related to this Podcast

Information Management Principles: openmethodology.org/wiki/Economic_Value_of_Information

Information Economics: openmethodology.org/wiki/Information_Economics

You can also find the videos and blog post summaries for every episode of the Open MIKE Podcast at: ocdqblog.com/MIKE

August 07, 2012

Demystifying Social Media

August 07, 2012/ Jim Harris

In this eight-minute video, I attempt to demystify social media, which is often over-identified with the technology that enables it, when, in fact, we have always been social, and we have always used media, because social media is about human communication, about humans communicating in the same ways they have always communicated, by sharing images, memories, stories, words, and more often nowadays, we are communicating by sharing photographs, videos, and messages via social media status updates.

This video briefly discusses the three social media services used by my local Toastmasters club — Pinterest, Vimeo, and Twitter — and concludes with an analogy inspired by The Emerald City and The Yellow Brick Road from The Wizard of Oz:

If you are having trouble viewing this video, then you can watch it on Vimeo by clicking on this link: Demystifying Social Media

You can also watch a regularly updated page of my videos by clicking on this link: OCDQ Videos

Social Karma Blog Series

Social Karma (Part 1) – Series Introduction

Social Karma (Part 2) – Social Media Preparation

Social Karma (Part 3) – Listening Stations, Home Base, and Outposts

Social Karma (Part 4) – Blogging Best Practices

Social Karma (Part 5) – Connection, Engagement, and ROI Basics

Social Karma (Part 6) – Social Media Books

Social Karma (Part 7) – Twitter

Social Karma (Part 8) – Social Karma Presentation

DQ-View: The Five Stages of Data Quality

July 17, 2012/ Jim Harris

Data Quality (DQ) View is an OCDQ regular segment. Each DQ-View is a brief video discussion of a data quality key concept.

In my experience, all organizations cycle through five stages while coming to terms with the daunting challenges of data quality, which are somewhat similar to The Five Stages of Grief. So, in this short video, I explain The Five Stages of Data Quality:

Denial — Our organization is well-managed and highly profitable. We consistently meet, or exceed, our business goals. We obviously understand the importance of high-quality data. Data quality issues can’t possibly be happening to us.
Anger — We’re now in the midst of a financial reporting scandal, and facing considerable fines in the wake of a regulatory compliance failure. How can this be happening to us? Why do we have data quality issues? Who is to blame for this?
Bargaining — Okay, we may have just overreacted a little bit. We’ll purchase a data quality tool, approve a data cleansing project, implement defect prevention, and initiate data governance. That will fix all of our data quality issues — right?
Depression — Why, oh why, do we keep having data quality issues? Why does this keep happening to us? Maybe we should just give up, accept our doomed fate, and not bother doing anything at all about data quality and data governance.
Acceptance — We can’t fight the truth anymore. We accept that we have to do the hard daily work of continuously improving our data quality and continuously implementing our data governance principles, policies, and procedures.