elemental links

brenda michelson's technology advisory practice

Visibility, Context, Correctness & Responsiveness — active information meets change-friendly

By

This week on active information, I offer some observations on the Pew Big Data report in the context of one of my top projects: evolving business-technology architecture and practices to accommodate continuous change. (a.k.a. change-friendly)

My change-friendly tenets:

  1. You can’t change what you can’t see (Visibility)
  2. Context is king (Context)
  3. Not every change is the right change (Correctness)
  4. Delay is the enemy of change (Responsiveness)

The post teaser: “Big data ushers in a new era of visibility, for good and evil. But, visibility without timely, intended action, isnt all that big.”

The post: Visibility, Context, Correctness & Responsiveness … – Input Output.

Lessons from Bechtel on making information valuable via APIs — active information

By

My latest active information post highlights Bechtel’s case study on implementing an API strategy to satisfy the needs of data consumers without all the heaviness of the current, data creation focused, applications.

It’s a great case, covering the use of APIs at Bechtel, the business and technology drivers, the benefits, the underlying technology, challenges and future plans.

The post: Lessons from Bechtel on making information valuabl… – Input Output.

3 Practices to turn Big Data aspirations into business value – Active Information

By

This week on Active Information, I highlighted research published in MIT Sloan on Finding Value in the Information Explosion. Jeanne Ross is a co-author, so you know it’s good stuff.

The good news is that IT organizations are stepping up to manage the data explosion.  The bad news is that these vast stockpiles of data aren’t generating a business return.

To turn Big Data aspirations into realized value, the research proposes three essential practices that BUSINESS leaders must embrace.

Read about these practices: Turn Big Data aspirations into business value – Input Output.

Data Gravity as Cloud Consideration – Input Output

By

This week on Active Information I wrote about Dave McCrory’s newly published Data Gravity formula. If you are unfamiliar with Data Gravity:

“McCrory’s premise is that as your data migrates to the cloud, say through the use of a CRM application, it will pull related, satellite applications and services into the cloud. As those satellite applications and services produce and consume additional data, your data mass grows, increasing the gravitational pull, which migrates more applications and services to the cloud, and the cycle continues.“

For the formula, and how I see it applied, check out the post: Data Gravity as Cloud Consideration – Input Output.

Big Data, ambiguity & the new era of Data R&D – active information

By

My active information post this week meanders from a case  on the creation of VinSpin — a wine recommendation app — to ambiguity, and lands in (potentially) a new branch of corporate R&D: Data R&D. And no, I wasn’t testing out the effectiveness of VinSpin while writing. I’m tangential naturally.

Check out the post: Big Data, ambiguity & the new era of Data R&D – Input Output. Let me know your thoughts.

Brenda M. Michelson

Brenda Michelson

Technology Architect.

Trusted Advisor.

(BIO)

Recent Posts

Recent Tweets