- Continue to make your content better - try to maintain the Accuracy, Completeness, and Timeliness gap between proprietary content in captive repositories and the Free Content so that the upstarts stay at 80% solutions (or go down, not up)
- Innovate and deliver the world class applications and access points that consumers want. Incumbent information providers need to create rich mobile, always on, easy-to-use apps that make it easy to find, read, and contribute content from any device at any time that consumers like to use and promote to their friends. Rich User Experience, cutting edge software development.
- Open up your content repositories through APIs to get your content used by new innovators. Embedding your content in the largest social media applications, the new local apps, and every entrepreneur's crazy new idea gets your content in front of new users and new customers. By making it easy to use your content in new ways and new ideas, you also forestall the creation of even more competitive content sources and make your content the preferred choice for every new innovator.
- Overhaul your content supply chain. Make it nimble, make it flexible. New content sources, new content enrichment, new content integration. Faster, cheaper, and better.
Friday, March 4, 2011
Content Access Becomes King
Monday, January 11, 2010
Ten Steps to Agile Software Development Process Improvement
In a previous blog entry, I mentioned 10 Steps to Improve Software Development Process. If you read these and pause for a minute, you'll notice that many of these are actually principles of Agile development. I want to expand on a few of these thoughts here.
1. Focus on the top 20% of features:
This is one of the primary drivers of value in Agile custom application developmentpractices. By prioritizing and rank-ordering every item in the feature request backlogs, only the most important ones are developed. By focusing on these Top 20%, you can often satisfy 80% of what end users want, and they can start using the system sooner, to add to the profitability of your company. (If the most important 20% of the features do not add to your company profitability, you should probably cancel the project!)
2. Break things up into smaller projects:
Big projects turn in to huge projects. And miss deadlines. And run over budget. Reading the Standish Group CHAOS report figures on failed IT projects always makes me wonder why more people don't follow the simple advice to "not bite off more than you can chew"?
Again, the Agile concept of smaller, more frequent releases echoes through this item. Getting a working system in to the hands of users is always a good thing - that's why you are implementing the system to begin with! Giving an important and useful portion of functionality early is even better. This has many organization benefits - from psychological ones like proving that the overall program can work and the enthusiasm from a successful launch, to risk mitigation benefits like the ability to redirect spending on an investment after the first release if priorities change, to the practical one that it is a lot easier to notice a project in trouble if a specific release is over budget or late than if fuzzy 'milestones' are being missed.
5. Obtain user feedback
During the implementation process, keep the end users constantly in the picture. Show them early versions of the system - for instance at each Sprint Demonstration or at least with small, frequent releases. Let them give you feedback, and above all, let them change their minds without being punished. Trust your end users; they know what works and what does not - and they are the ones who are going to use the system every day! When they see working features, they may be able to better prioritize other changes or features to be able to complete an important business process or simplify many steps.
7. Mistakes are a way of learning
Remove the blame culture. Let people make mistakes quickly - failing early is much better than missing a delivery date. These so-called mistakes are part of the overall discovery process and will help lead and evolve to the eventual solution. If you blame people for mistakes (picking the wrong feature for a Sprint, not seeing a bug, very bad color choices) they will react to the blame and change their own behavior. Rather than being an active participant in making the project a success, they will become "followers", just doing what they are told - no way to get blamed there - and punching the clock. The good people will hate the blame culture enough to look for work somewhere better.
10. Something has to give in the Iron Pyramid (Quality, Time, Cost, Features)
The old Iron Triangle, which I've always thought should be an Iron Pyramid with Quality as an explicit dimension, still holds true today. In an agile development process you try to "bake in" high Quality by using unit tests, refactoring, engaged people, and frequent review processes. You fix the Time or at least the time cycles - every two weeks you have a Sprint release; and the Cost is essentially fixed based on the size and members of the team. The Features dimension is what gives - and that is where the prioritization comes in. By putting the most important features first, you complete as many in each Sprint as you can and know that you are achieving the most important features at any given time.
Over a longer time horizon, say a Release of 5 to 6 Sprints, you can adjust the Time and Cost dimensions, by letting the process run for more Sprints or deciding that enough Features are ready to stop this project.
I focus on the Iron Pyramid because we all know the truth. If you push people hard enough, they will relax some of the quality checks, and they will get one extra feature in. But you have lowered the quality level - maybe not enough to notice today, but you will pay for it in the future. Whether it is the performance testing that is skipped, leading to a slow web application, or "smelly code" that costs more and more to maintain over time you pay for the lapse in quality.
Thursday, December 24, 2009
Data Visualization and Web 2.0
I love data visualization techniques. From my early days as a operations data analyst and all of my software development career, finding patterns in data and finding an easy way to convey the pattern through a graph or other visualization has always been fun. Working on custom application development projects that provided a picture of how the business was doing, where customers were spending, etc is fun. Now working with our Business Information Services clients to help create innovative approaches to information discovery and data analysis is fun. It really is true that often "a picture is worth 1,000 words."
I vividly recall a stubborn memory leak my team had been trying to track down for several weeks. This was a long time ago, in the days of VB6 COM dll's running inside ASP web pages, and we were pretty sure our code was not leaking. The team had found memory leaks before, and tracked every single one of them down to circular references in our COM object model so that the automatic release never occurred. Historically, it had been easy to find a leak by running a simple load script, executing each page thousands of time in isolation and watch to see which page shows the memory leak. But not this time. We had run the load tests several times and never found the leak. We scanned the code thoroughly. We added as many "set obj = nothing" safety lines as we could. But still the production web servers kept leaking memory, and we were forced to move the automatic restarts of the servers from weekly to daily and hope our band-aid would hold.
One day, I had some down time and decided to see if I could find a correlation between the memory used and what pages were invoked on the production system. An hour or two later, I had pulled all the IIS log files, gotten dumps of memory traces from the systems team and started my analysis. A bit of awk, grep, Access, and other quick and dirty processes later to pull out the data I wanted, adjust for timezones, aggregate hits to cumulative 15 minute buckets and otherwise line up the datasets and I was ready to plot the data.
Instantly, the answer of where the leak was was obvious. The two lines, cumulative hits to a particular URL and memory in use were nearly on top of each other. The correlation jumped out, completely overwhelming the noise of other URL's, pages, etc. This is the power of a good visualization. (Of course, it turned out that the leak was coming from a web services API proxy URL, not a page in the website that everyone had focused on! Since the proxy was not 'in' the website it had been ignored for weeks as the team hunted for the answer.)
Recently, some colleagues and i were discussing what areas Alliance Global Services provides solutions to clients in. This is a pretty broad topic, and we talked about the types of industries we serve (including our focus on Business Information Services), the geographies we serve (mostly North East US, from about Virginia to Boston), the types of services we provide (Custom Software Development,Application Architecture Analysis). And we talked about the easiest way to visualize our coverage areas.
Well, today I had a little downtime before the holidays. So I took a list of our client locations used some simple geocoding tools, and put together two quick samples of mapping in the Web 2.0 world - one using a Yahoo! map through batchgeocode.com and the other using the Google visualization API.
Batchgeocode.com made it very easy to process the first set of data and create a map but then you were stopped. Google was a different story - getting the map running required coding, but then I had full control. To see the first map, visit this blog on Alliance Global Services.
Obviously it's not perfect, but lots of fun for a quick afternoon's work!