Analysis

Project Management in Virtual Teams {10}

by Kevin F
Introduction

In the scope of most corporate IT departments, one will find a plethora of projects that are being proposed, currently in progress, and being monitored for their ROI.  This is due to the fact that IT system design and implementation is unique to the needs and priorities of each situation.  As a result, PM, or project management, is an essential skill for anyone who is considering a career in IT.  The emergence of an increasing number of virtual team environments challenges the traditional PM approach, which has initiated an array of new research projects aimed at addressing this issue. read more...

Description or Design: Which is Better for Data Modeling? {Comments Off on Description or Design: Which is Better for Data Modeling?}

by Katheryn T
The article I read about was focusing on the question of how data modeling is characterized. Specifically, is it design or is it description?  In the article, there were hundreds of people surveyed to find out what they thought. Questions spanned from asking what data modelers believe is the scope of the design process to will different data modelers produce different conceptional data models for the same scenario (Simsion, Milton, & Shanks, 2012)? Over the course of the surveys, the researchers discovered that many data modelers view database modeling as design, and other subjects, such as the business problem, were more descriptive than creative. The contributors that felt problems can be handled with design found that businesses don’t really knowing what they want. This was an opportunity for creative and new perspectives to be introduced. Over all, the researchers discovered that challenging business requirements where split between design and descriptive, data modeling was considered a creative activity, and that data modeling does not have one single right answer (Simsion, Milton, & Shanks, 2012). read more...

Big Data joined by Nodeable {1}

by Rudy P
I chose to read the article, “Twitter’s Open Source Big Data Tool Comes to the Cloud Courtesy of Nodeable” by Klint Finley. This article gives details of a new Big Data analysis software by Nodeable called StreamReduce. This software is based on a software created by a Twitter owned company called storm. Finley goes on to state, “StreamReduce is essentially Storm hosted in the cloud, with a few extras such as connectors to Apache Hadoop” (Finley, 2012). Nodeable began as a company which developed software for both data management and analysis, however due to market demand they have shifted their attention to analysis. Nodeable is joining an increasingly competitive market where companies such as HStreaming already exists, and possible companies such as Amazon may join in the near future. read more...

Psychic smartphones ??? {2}

by Abel R
For this week, I came across an article titled “Your smartphone knows you better than you do” in infoworld.com. As a smartphone owner/ user this caught my interest because it involves with how companies can use what I presumed was private information to their advantage. In this article, researchers are studying how smartphones can be used to predict human behavior. Researches have accomplished this by studying patterns of how and when people use their smartphones. This article also reveals how this kind of research can be used in the business world, for example: Wireless carriers can use this data analysis to determine who’s more likely to jump carriers (Cringely, 2011). read more...

Data Mining and Predictive Analytics {1}

by Hassib K
The article talked about data and how it is currently being used to provide real time answers.  Businesses are using their available data to make decisions every day.  One example includes how credit bearau’s use your credit history to assign you a current credit score.  This score is for today and depending on the circumstances of your credit history, it could change tomorrow, or next week.  Aside from business, it’s also used in healthcare, where they try to predict the length of hospital stay for people, which helps them better manage the facility and patient health.  It goes on to outline the process involved, such as acquiring data, organizing, and using for predictive analysis.  A business’s success in the present and future depends heavily on their ability to predict and forecast using the data they have available. read more...

Analyzing Geographical Data with Relational Databases {Comments Off on Analyzing Geographical Data with Relational Databases}

by Joe C
Summary:

This article talks about the use of relational databases to analyze the geographical data between multiple profiles. Many databases are currently not utilizing this type of information correctly, as they do not have the correct software needed. With the right software, it can potentially calculate customer base density of an area, the distance between multiple customers, and other spatial information analysis. To start off, geocoding data is data on the locational points on earth. When customers provide this information, the database will know exactly where each customer is coming from. By cross-referencing this data between multiple customers, users can figure out multitudes of information through both simple and complex algorithms. Examples of geocoding data customers usually provide include street address, city, ZIP, and state. Latitude/Longitude coordinates may be given directly by the customers or retrieved with the previously listed data. As for relational databases, there needs to be unified formats such as choosing between degree-minute-second or decimal degree formats. In addition, performance becomes a great issue once the amount of data scales to large numbers so that even the simplest calculations being iterated millions of times becomes a great workload to watch out for. read more...