Are you matching your strengths to your opportunities or are you just being ideological … interested only in following your own ideas even when they won’t get you any results?
Here is a situation that illustrates the challenges of being ideological versus being results oriented. It is a situation that illustrates the challenges of learning an enterprise software like Oracle compared to a poor man’s database like Microsoft Access.
With the ever-increasing focus on setting up an online presence or the increasing competitiveness of online businesses, there is a need for web data analysts who can help web-based business succeed or thrive online.
A web data analyst researches the activities of users as they interact with a website, identifies the measures critical to the survival of the web business and recommends actions in the form of web analytics reports for web managers, online marketing teams or business owners.
Data Analysts have the opportunity to work in several different domains or sectors, for example as banking data analysts, retail data analysts, telecommunications data analysts and as marketing data analysts.
The marketing data analyst role is one of the more common ones and a marketing analyst may be found analyzing databases of prospects, leads and customers for the marketing department.
In this post, we will take a peak into the day of a marketing data analyst…
Many database professionals have a hard time writing complex, complicated or advanced SQL queries for the following reasons.
In a healthcare database project that I consulted on, I had to write fairly complicated and efficient SQL queries for physicians at several practices because of their specialized reporting requirements.
The real problem was not the complexity of the physicians database but it’s poor suitability to the physicians reporting needs.
The Microsoft Access Relational Database has been around for a while and it is used in many businesses, Information Technology (IT) Teams and organizations.
Microsoft Access is commonly used in building desktop software applications, data analysis programs and corporate databases where the number of records are as few as 2 billion records or the number of users who access the system at any one time are as few as ten concurrent users.