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Data Collection & Management
Data Analytics & Reporting
I discovered Google Analytics when I made a Redbubble account and started uploading my work. I wanted to keep track of how many visitors my page had, saw my content, know which of those contents was the most popular.. overall statistics about my page and how to manage it.I found this platform to be very user-friendly and tried it with my portfolio, it was the best decision I've made. I can now see how many people come to my site, what they do when they're there, how much time they spend on a tab and which of my posts are more popular.
SAS (Statistical Analysis System) is one of the leaders in the statistical software industry. It offers various statistical functions and an amazing support but also charges a price for its features and service. It can be seamlessly integrated with other technologies like SQL and R by writing user defined functions called macros. This means one can easily transfer data to and fro from SAS to R or SQL. This is a great feature as it lets the organization to have the best of multiple technologies. For example, SQL is way better than SAS in extracting and manipulating large data while SAS is better in applying statistical functions. So, with the ability to connect with SQL, one can use SQL to fetch and maneuver the data and various statistical functions can be applied to the data by importing the data in SAS environment.
SAS is easy to learn for people who have a programming background in any language. It provides a SQL procedure PROC SQL which is very useful for people who know SQL and have to work in SAS environment for certain reasons. A lot of documentation, tutorials and support are available over the web to learn about SAS. It also has cloud offerings which make it easy for employees to access SAS over the web from any device without the tedious process of connecting through a VPN. The ability to have user defined functions called macros which can be reused is a great asset to SAS. SAS itself provides a large number of functions but at times, due to certain business requirements, one need to write their own functions which can be compiled and later used as an inbuilt SAS functions.
One of the major drawbacks I have faced with SAS is that various procedures cannot handle more than 20 Mn rows of data. One can argue that 20 Mn is a lot of data but for the industries like Retail and Insurance churn out that many rows are a normal phenomenon. It is very expensive as well and small organizations and startups cannot afford it.
Monday 30 September 2013
Google Analytics is a free service and is arguably one of the most powerful tools you'll ever use in order to develop your website. It links with all of your other Google account information allowing you to access everything from a single connection. The charts are appealing and the information is greatly accurate. Since bots can appear seemingly random, it's a welcome change to not have to include those inorganic numbers if you are trying to gauge your site's popularity.More about Google Analytics
Monday 11 November 2013
One manager (who asked to remain anonymous) said his team was now fielding more requests to get data into SAS Visual Analytics than running down the questions. The tool makes it so easy to interact with the data and the managers are really exploring the data and asking for more. The organization is moving down the BI Maturity path.More about SAS Analytics Pro
Sunday 15 January 2012
Google Analytics offers users an amazing amount of data about their website visitors. Primarily geared toward e-commerce, some of the functionality of Google Analytics isn’t relevant to libraries. More importantly, the data is given without context, allowing users to see how website visitors are behaving but not why. In light of this, Google Analytics is most powerful as a tool for gathering information to complement and inform other library assessment efforts.More about Google Analytics
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