10.20.2005

The need for Data-driven Software Development

St Mary Axe, February 2015

10.20.2005

Software is Eating the World

3

Tech is Fragmenting

4

The CIO is the Last To Know

5

Language Rankings

6

Forking as a Good

7

Social Coding as Public Utility

8

Agile and Continuous Deployment

9

“The lumber industry sells what used to be waste — sawdust, chips, and shredded wood — for a pretty profit. Today you’ll find these by-products in synthetic fireplace logs, concrete, mulch, particle board, fuel, livestock and pet bedding, winter road traction, weed killing and more.”

Jason Fried, 37signals

10

“In contrast to most traditional survey methods, search data are collected as a by-product of normal activity”

- the Bank of England

11

Borrow from Web Companies

12

Data, Teams and Competitive Advantage

13

Wrapping Up

The business is demanding that you deliver more products to market faster.

response: Agile, DevOps, and Continuous Integration/Deployment

The War for Talent hasn't even started yet - use data for resource allocation and human resources.

Software development is an art but also science – data is a bridge.

Let developers do their jobs and make infrastructure choices, but measure the results.

Watch, don’t ask.

Agile wins, precisely because it is data-driven. Developers thrive on good data.

Break big problems and projects into smaller pieces run by smaller, more responsible, teams.

(At Netflix) the Developer is responsible if they break the build.

With large, legacy code bases, data allows you to find the best likely fix(er).

Use data to reduce organisational disagreements.

Open source is central to good software development engineering practice

Higher quality apps lower support costs.