This document discusses using data visualization to address business analytics challenges. It outlines critical needs like reporting, analysis, discovery, speed, and security. Data visualization is presented as a solution that enhances reporting, analysis, and discovery while also providing speed benefits. The document recommends training users, quick pilot projects, and a rapid response IT team to improve speed, as well as data governance policies and new technologies to track unstructured data for security. Overall it promotes data visualization for addressing variety in data sources and meeting critical business analytics needs.
8. Data Visualization
The lingua franca of data.
!
!A language that is adopted as a common
language between speakers whose native
languages are different.
As a means for dealing with variety.
10. Critical needs Item #1
• Reporting
• Analysis
• Discovery
Data visualization enhances all three
11. Desirable Qualities
• Easy to learn/use
• Connect to many data sources
• Deploy quickly
• Manage easily
• Scale securely
12. Your Challenges & Opportunities
• Accountability – moving it to where it belongs
• Availability – data from a variety of sources
• Responsiveness – tech resources on demand
13. Critical Needs Item #2
• Speed of deployment
• Speed of response
• Speed of analysis
14. Speed of Deployment
• Train everyone (technical staff in particular)
• Pick a project (< 4 weeks)
• Success builds enthusiasm/momentum
!
15. Why Training?
• What works in the old doesn’t in the new
• Non-technical users need help
• Ensure scalability
16. Why < 4 Week Project?
Evolution is better than revolution.
17. Quick wins provide the team with
confidence and build an appetite for
more success.
Small projects build enthusiasm
19. Speed of Analysis
• Given end users accessible tools
• Publishing in a browser (embeddable/flexible)
• Creating a rapid-response team in IT
20. Critical Needs Item #3
• Controlled access (security/governance)
• Right mindset in IT & end users
• Means for tracking unstructured data
Holistic data governance policies that place accountability where it belongs
and leverage emerging technology to track data lineage.
22. Right Mindset
• Define what IT owns
• Define what the creator owns
• This isn’t a technology problem
23. Tracking Unstructured Data
• Hard to do with existing methods/technology
• Data aware storage is part of the answer
• Populating the NAS (network attached storage)
NAS = Network Aware Storage
25. Solution Review
1. Reporting/analysis/discovery
2. Speed
3. Security
Your audience handout includes web links to blog posts that include more information.
Contact Information
Dan Murray
Twitter: dgm885
Email: dan.murray@interworks.com
Available in the show bookstore