Data Transformers Podcast
How To Measure, Manage, and Monetize Information As An Asset
Play Episode
Pause Episode
Mute/Unmute Episode
Rewind 10 Seconds
1x
Fast Forward 30 seconds
00:00
/
00:22:25
Apple Podcasts
Google Podcasts
Spotify
Stitcher
RSS Feed
Share
Link
Embed
How To Measure, Manage, and Monetize Information As An Asset
‘
/>
Apple Podcasts
Google Podcasts
Spotify
Stitcher
Episode Title : How To Measure, Manage, and Monetize Information As An Asset
Episode Summary: It has become a cliche to say data is an asset. If an organization is not making an attempt to measure, manage, and monetize, information can’t be an asset. Doug Laney is one of the foremost thought leaders who has been espousing Infonomics and the need for organizations to monetize their data. Doug was also the leader who came up with 3 Vs to describe Big Data and the one who came up with 4 types of analytics namely Descriptive, Diagnostic, Predictive, and Prescriptive. Doug’s assertion is that leading organizations focus on reaping the benefits by implementing the last 3 types of analytics. To enable any type of analytics though, leaders in organizations have to ensure that data literacy and data culture are pervasive.
01:30: Origin of Infonomics. Coincided with the 2001 terror attack and how companies lost their data.
03:00: Insurance companies excluded data and accounting bodies didn’t allow data to be recorded as an asset.
05:00: Monetize, Managing, Measuring the data. Reason for re-ordering the book to start with Monetizing as an inspiration.
06:00: You can’t manage anything that you can’t measure. So organizations should start with measuring their data.
08:00: Monetization has been the big impact of the book. There has been concerted efforts by companies and government
09:00: Usually CDOs responsibility is to manage
10:30: Data initiatives failures. Probably not measuring the value of the project. If analytics are not being used, it is considered a failure
11:00: Data literacy and data culture are also key. Data science and analytics projects are research projects and often fail.
13:30: Relevance of 3Vs today.
15:45: Self-organizing data. Application of AI and ML to facilitate self-organizing data.
17:30: How organizations could move up higher levels of analytics.
18:00 to 19:55 (Headliner) 500+ ways organizations are high value; 95% of high-value analytics are diagnostic, predictive and prescriptive types of analytics.
20:15 : Looking at data holistically. Advocating separating managing data analytics from data itself.
Resources mentioned in this episode:
Podcast website: https://DataTransformersPodcast.Com
Data Transformers Podcast
Join Peggy and Ramesh as they explore the exciting world of Data Management, Data Analytics, Data Governance, Data Privacy, Data Security, Artificial Intelligence, Cloud Computing, Internet Of Things.
Data Transformers Podcast Combining the passions of Data and Teaching with Laura Ellis Play Episode Pause Episode Mute/Unmute Episode Rewind 10 Seconds 1x Fast...
Data Transformers Podcast Building a 24 hour Data Science Community with Danielle Oberdier of Dikayo Data Play Episode Pause Episode Mute/Unmute Episode Rewind 10...
Data Transformers Podcast Deep Dive on Data strategy, Data management, Data Governance with Jay Zaidi 1x 00:00 / 00:31:43 Subscribe Share Apple Podcasts Google...
