Showing posts with the label teradata

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The Quick and Easy Way to Analyze Numpy Arrays

The quickest and easiest way to analyze NumPy arrays is by using the numpy.array() method. This method allows you to quickly and easily analyze the values contained in a numpy array. This method can also be used to find the sum, mean, standard deviation, max, min, and other useful analysis of the value contained within a numpy array. Sum You can find the sum of Numpy arrays using the np.sum() function.  For example:  import numpy as np  a = np.array([1,2,3,4,5])  b = np.array([6,7,8,9,10])  result = np.sum([a,b])  print(result)  # Output will be 55 Mean You can find the mean of a Numpy array using the np.mean() function. This function takes in an array as an argument and returns the mean of all the values in the array.  For example, the mean of a Numpy array of [1,2,3,4,5] would be  result = np.mean([1,2,3,4,5])  print(result)  #Output: 3.0 Standard Deviation To find the standard deviation of a Numpy array, you can use the NumPy std() function. This function takes in an array as a par

Teradata: Key Role in Telecommunication Analytics

Teradata, a US analytics solutions and applications provider, has said that there is a growing market for next-generation analytics in India amid intense competition among telcos and growing mobile phone penetration. Insights Carriers with increasing consumer focus require next-generation analytics to unify data from both the traditional and Big Data environments and transform it into meaningful insights - on how subscribers are consuming their services and in turn how they can improve their marketing tactics for upselling, customer retention, and loyalty. And ever since mobile number portability ( MNP) - a facility that allows subscribers to retain their numbers despite switching operators - was introduced late 2010 in India, customer retention has become a key imperative for service operators such as Vodafone India, Idea Cellular, and Bharti Airtel. Telecom Analytics "With rising teledensity, ensuing competition, and falling average revenue-per-user, telcos will have to look b