33 Sticks Daily – October 5, 2015

The One Person The CMO Can’t Live Without According to IBM, over the next 3-5 years most CMOs plan to focus on the integration of cross-channel touch-points. While 83% will focus on analytics to capture customer insights to help fuel their campaigns, very few of them know exactly how to prepare to meet the data deluge. Read the Full Article: Forbes Welcome Amazon Web Services to add analytics tool to its arsenal The WSJ report also reveals that the new services is code named Space Needle and it is expected to include a faster method for transferring or copying data to AWS. In cases of massively large amounts of data, Amazon would supply a storage device that customers can send back filled with data — all this at a monthly subscription fee. With this venture, Amazon is entering into a domain that favoured by software giants and start-ups alike and if it finds the sweet spot, it can make a mark in the analytics market — that is yet to hit maturity. Read the Full Article: Amazon Web Services to add analytics tool to its arsenal    33 Sticks Daily is a hand curated publication that brings you opinions, insights, and valuable content relating to digital analytics, optimization, and data intelligence – every morning.  ...

33 Sticks Daily – October 2, 2015

Bad User Experiences: How Analytics Can Improve App Testing Because of analytics, Amazon knows what you want before you know it. So does Target. But: Analytics is not only something used for point of sale experiences. Sometimes, “conversion” means something other than getting someone to buy something.   Sometimes it simply means that someone likes using your application. Sometimes it means creating something that makes it easier for your employees to do their jobs. Sometimes conversion means that someone did what you wanted them to do, like use a knowledge base to answer their question (cheap) instead of calling your global help line (expensive).   Read the Full Article: Bad User Experiences: How Analytics Can Improve App Testing – InformationWeek The One Big Mistake To Avoid With Big Data Analytics One of the most common mistakes I’ve seen organizations make as they try to incorporate big data into their analytics processes is that they consider big data as having a completely separate and distinct set of capabilities. Many companies are setting up internal processes and organizational features to focus specifically and only on big data. Read the Full Article: TeradataVoice: The One Big Mistake To Avoid With Big Data Analytics Three #business uses of predictive analytics Every day, human beings create 2.5 quintillion bytes of data, according to IBM. It comes from an array of sources as diverse as environmental sensors, social media, smartphones, digital images and videos, records of transactions and so on. For any data to be useful it has to be accessed, collected, stored and analysed. Valuable insights can now be gained by businesses deploying innovative analytics...