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Managing Software Development – The Debate Continues …

13 Sep

This post falls into the category of amusing stuff to do over morning coffee.

McKinsey wrote an article that is creating much discussion. I am sure this was written in good faith in an attempt to solve a management problem associated with software development teams. That article is here The response from Dave Farley – YouTube link below is pretty funny.

I no longer manage software teams, and when I last did, agile was just beginning. However, I love to keep track of all of the discussion about management techniques – generally those that are either trying to fix the mistakes of agile, or debunk it entirely. This is relevant from a data perspective, as data and applications are obviously tied together and any data project is going to get tied up into a DevSecOps or a DataOps discussion – both seeking to be agile in one form or another.

My high level take away from the McKinsey article was that they were trying to focus on the soft issues or capabilities – indeed this is the issue Farley had with the article – that the metrics were not measurable. This is typical McKinsey – they are a management consulting company after all. Farley argues that one can stick with established metrics and measures and do better. His point is that it is the production of the team that counts. However, still does not get at understanding the management challenge at the individual level. Nowadays, I would have to think that team productivity is impacted when people leave, and thus within the scope of the McKinsey discussion is the idea of retention – not a bad idea. Are you looking things as a manager – in which case retention matters, or as a developer – in which case quality and speed matter are what should be measured.

Either way, have a read and a look – amusing musings!

What am I doing…?

17 Nov

Someone asked the other day if I was still blogging – the answer is yes, but… During the summer I joined the teaching team at University of Maryland to teach a course in data governance and data quality in the Graduate Information Management Program. Between creating the course content and teaching the course, it has consumed all of the creative energy that I normally put into the blog articles.

Hang tight. I will be posting again soon.

The more things change, the more they stay the same…

16 Jun

Very amusing article – totally agree that the addition of a CDO if too broadly defined begins to confuse things. Is the CDO part of an integrated strategy to move things ahead, or a tactical band-aid response to an organizational problem?

 

Seven ways to use Big Data in Health Care

2 Jan

This article  summarizes a range of ways that health organizations are using big data in the post-ACA environment.

 

http://www.informationweek.com/healthcare/electronic-health-records/7-big-data-solutions-try-to-reshape-healthcare/d/d-id/1107893?page_number=2

 

It’s good reading for shedding light on the role of private companies in driving analytics innovations.

 

 

Primer on Big Data, Hadoop and “In-memory” Data Clouds

25 Aug

This is a good article. There have been a number of articles recently on the hype of big data, but the fact of the matter is that the technology related to what people are calling “big data” is here to stay, and it is going to change the way complex problems are handled. This article provides an overview. For those looking for products, this has a good set of links.

This is a good companion piece to the articles by Wayne Eckerson referenced in this post