Do you approach answering questions on your territory alignment issues like the blind squirrel? Flukes will not get you the sustained business success given the highly complex life sciences environment that now confronts senior executives and operational leaders. With an ultimate goal of making the life sciences companies better and smarter in an increasingly complex world, we have written this white paper which provides concise answers to key questions on sales operation process that links sales force strategy outcomes to execution in the field – territory alignment.
With the advancements in the field of science and technology, more and more appliances have integrated systems capable of storing and reporting streams of data. Under the field of telematics, various devices are being used to extract, store and transform information related to vehicles and their usage. The data provided by these devices also contains information regarding various aspects of the driver including the driving patterns.
Amazon Redshift is a fast, fully managed, petabyte-scale Data Warehouse (DWH) solution. It is a columnar Database and facilitates massive parallel processing (MPP). In any DWH solution, we always have facts, Dimensions, Xref, etc. types of datasets which vary significantly in size. Hence, It is not wise to use default redshift setting for all sizes of datasets.
To design an efficient redshift based DWH solution one need to be aware of various Static and dynamic variables which control the size and performance of the environment.