Showing posts with label decision support systems. Show all posts
Showing posts with label decision support systems. Show all posts

August 12, 2011

To Follow Or Not To Follow


Twitter is a great streaming feed for news and information, but what you get depends on who you follow.

While Twitter does provide suggestions based on whether they are "promoted" or who you already follow (i.e. follow Joe because they are "followed by" Julia), it doesn't tell you a lot of information about them except their Twitter handle, short profile, location, basic stats, etc.

A new service called Twtrland helps you decide who to follow by providing lot's more information and displaying it in an organized fashion--simply plug in the Twitter handle you are interested in knowing more about and you get the following:

1) Basic Info--Picture, profile, stats on follow/follower/tweets

2) Top Followers--Let's you know who else (from the who's who) is following this person.

3) Advanced Stats--Provides measures on how often he/she gets retweeted, tweets per day, retweets, etc.

4) Graph of Content Type--Displays in pie chart format the type of content the person puts out there: plain tweets, links, pictures, retweets, replies and more.

5) Samples of Content by Category--Examples of this persons tweets are provided by category such as: famous words, plains tweets, pictures, links, retweets, and mentions.

I like the concept and execution of Twtrland in organizing and displaying tweeters information. However, I cannot really see people routinely taking the time to put in each Twitter handle to get this information. Making a decision a who to follow is not generally a research before you follow event. The cost-benefit equation doesn't really make sense, since it doesn't cost you anything to follow someone and if you don't like their tweets, you can always change your mind later and unfollow them if you want.

Overall, I see Twtrland more as a profiling tool (for research or interest) by getting a handy snapshot of what people are doing/saying online in the world of micro-blogging, rather than a decision support system for whether I should add someone to my follow list or not.

(Source Photo: Twtrland Profile of Sylvester Stallone, Rocky!)


September 3, 2007

Business Intelligence and Enterprise Architecture

“Business intelligence (BI) refers to applications and technologies that are used to gather, provide access to, and analyze data and information about company operations. Business intelligence systems can help companies have a more comprehensive knowledge of the factors affecting their business, such as metrics on sales, production, internal operations, and they can help companies to make better business decisions.” (Wikipedia)

Business intelligence includes warehousing data and mining data (sorting large amounts of data to find relevant information). Metadata (data about data) aids in the mining of useful nuggets of information. The warehousing and mining of data for business intelligence is often referred to as a decision support system.

User-centric EA is business (and technology) intelligence!

  • EA is a knowledge base and warehouse of information: BI warehouses date for decision support applications in the organization. Similarly, EA synthesizes and stores business and technical information across the enterprise to enable better decision making. EA uses applications like Systems Architect, DOORS, Metis, Rationale, and others to capture information in a relational database repository and model business, data, and systems. The intent is to develop a knowledge base for the capture, mining and analysis of data to enhance IT planning and governance.
  • EA provides for mining, querying, and reporting: BI tools use online analytical processing (OLAP) tools like Cognos, BusinessObjects, Hyperion, and SAS that utilize multi-dimensional database cubes for manipulating data into different views, and provides for analysis and reporting. Similarly, User-centric EA provides for analysis and reporting of performance measures, business functions, information requirements, applications systems, technology products and standards, and security measures. While EA tools are more limited than general BI tools in terms of OLAP capabilities like online queries, I believe that these tools will move in this direction in the future.
  • EA uses information visualization to communicate effectively: BI tools provide executive dashboard capabilities for displaying executive information in a user-friendly GUI format. Like an executive dashboard, EA often displays business and technology information in profiles and models that make extensive use of information visualization to communicate effectively and at strategic, high-level views to decision makers.

In is the role of the chief enterprise architect to sponsor, communicate, and educate on the use of EA for business and technology intelligence in the organization.