Data analytics - challenges of combining internal data with open data
Jinfo Article
7th November 2016
By Sue Jenkins
Abstract
The advent of "big data" blurs the distinction between internal and external information. Sensitive and confidential issues notwithstanding, the knowledge that can be obtained from breadth, depth and sheer volume of data, can be immeasurably more powerful than traditional, more linear methods. Sue Jenkins explains why information professionals continue to offer unmatched skills in this new era.
Content Access
Access to Jinfo Content and Community is available through a Jinfo Subscription.
Does your organisation have a Jinfo Subscription?
"Not yet"
Access to this article is available through a Jinfo Subscription, which will help your organisation:
- Save time and money
- Re-invent information services
- Define, measure and communicate information value.
"Don't know"
Contact us to find out if your organisation already has a Jinfo Subscription.
Or use the 'Text Chat' button at the bottom-right of this page for immediate assistance.
- Article title: Data analytics - challenges of combining internal data with open data
- Link to this page
- View printable version
- How to get involved in data analytics
Friday, 28th October 2016 - Key concepts in data analytics
Thursday, 27th October 2016 - Exploring citizen-derived geographic data
Wednesday, 26th October 2016
Vendor adoption of AI
Community session
23rd May 2024
AI prompting and AI-sourcing, US private companies, and Jinfo on YouTube
Blog posting
10th April 2024
April 2024 Update
YouTube video
10th April 2024
- AI prompting and AI-sourcing, US private companies, and Jinfo on YouTube
10th April 2024 - AI practical actions, prompting and outsourcing
6th March 2024 - GenAI and ESG wisdom of the Jinfo crowd
13th February 2024
- Jinfo Community session (TBC) (Community) 16th July 2024
- Jinfo Community session (TBC) (Community) 20th June 2024
- Vendor adoption of AI (Community) 23rd May 2024