OSU Big Data Conference, Oklahoma City

Who am I? Why am I here? •  Passion for data visualization •  34 years in business •  8 years in consulting

Who are you? Why are you here? •  Data analyst •  Database expert •  Manager •  C-level

Your Reality •  Limited budget •  Constrained technical staff •  Increasing variety of data sources •  Increasing volume of requests •  Increasing velocity of change

Critical Needs •  Reporting / analysis / discovery •  Speed •  Security

Big Data? Variety is the challenge.

Data Visualization •  Why do it? •  How to deploy it •  How to secure it

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.

Why do it? Demonstration

Critical Needs Item #1 •  Reporting •  Analysis •  Discovery

Data visualization enhances all three

Desirable Qualities •  Easy to learn / use •  Connect to many data sources •  Deploy quickly •  Manage easily •  Scale securely

Your Challenges & Opportunities •  Accountability – moving to where it belongs •  Availability – data from a variety of sources •  Responsiveness – tech resources on demand

Critical Needs Item #2 •  Speed of deployment •  Speed of response •  Speed of analysis

Speed of Deployment •  Train everyone (technical staff in particular)

•  Pick a project (< 4 weeks)

•  Success builds enthusiasm / momentum

Why Training? •  What works in the old doesn’t in the new •  Non-technical users need help •  Ensure scalability

Why < 4 Week Project? •  Evolution is better than revolution

Small Projects Build Enthusiasm Quick wins provide the team with confidence and build an appetite for more success.

Speed of Response Restructure the IT group by creating a rapid-response team. Rapid = < 1 hour to immediate

Speed of Analysis •  Given end users accessible tools

•  Publishing in a browser (embeddable / flexible)

•  Creating a rapid-response team in IT

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.

Controlled Access •  Current tools do this well

Right Mindset •  Define what IT owns

•  Define what the creator owns

•  This isn’t a technology problem

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

Data Aware Storage: NAS

Secure Sync

Solution Review 1.  Reporting / analysis / discovery 2.  Speed 3.  Security

Your audience handout includes web links to blog posts that include more information.