Apart from the better understanding on data, we need to pay more attention towards the basic statistics as it is the key concept of driving the data to develop interactive visualizations and convert tables into pictures.
The rapid rise of visualization tools such as Spotfire, Tableau, Qlikview and Zoomdata, has gained immense use of graphics in the media. These tools currently hold an ability to transform the data into meaningful information with proper standard level principles in the statistical visualization world. They are very helpful in translating the analysis into pixels when you are ready with the cleansed data/analysis.
It is quite often in everyday life, we get to see a massive amount of data crawling that is continuously increasing. Now the question is how to get better insights before making any decision for a business problem. Let us assume you are inclined towards a specific sector say sales (Or any other sector like finance, marketing & operations) that has billions of records and you want to draw a graphical layer on the data set for a better decision. Being a decision maker, you should probably think about a way to analyze the data, which is a data visualization Tool. Now the question arises on what data visualization is and why to adopt data visualization?
This blog post is about data visualization. It explains in detail on how to convert the massive volume databanks into statistical graphics in a pedagogically meaningful way.
Data Visualization in the Pharma Industry
Pharma industry faces unprecedented challenges that have an impact on development, production and marketing of the medical products.
It has been facing declined success rates in Research & development, patent expirations, global sales, medical bill review, reference based reimbursement system, drug testing/clinical trials, electronic trial master file, Hospital Food, drug and maintenance administration due to huge volume of databanks coupled with lack of decision making strategies where key element of cure is big data and the analytics that go with it. Big Data helps in organizing your data for future analysis and to derive new business logic from it. You can also change the current business logic as per the data trend to increase your business throughput.
http://www.infotrellis.com/interpreting-data-graphically/
No comments:
Post a Comment