Big Data

There have been a total of 20 users to this blog with 89 sessions and 343 page views. The average session on the blog has been for 1 minute and 56 seconds. The blog initially set out with 3 users from feb 2nd to fed 8th. By the third week of february the number of users went up to 6 and in the fourth week the number of users where 14. The Blog has had 261 unique page views and the an average of 41 seconds spent on a page with a bounce and exit rate of 43.96% and 26.45% respectively. Out of the total visitors to the blog, 41.9% of the users are returning visitors.  The highest number of visitors or users to the blog are aged between 25-34 which constitutes 33.50% of the total users. This is followed by 27.50% of the users aged between 18-24. People aged above 55 constitute a total of 11% of the visitors to the blog.  Out of the total users, 54.15% are male and 45.85% are female. Out of the total number of users, 5 users used Android mobile phon...

AI marketing is a way of using technology to improve and simplify the customer journey. Return of investment (ROI) of marketing campaigns can be vastly increased using AI. Using Big Data analysis, machine learning, and other processes it is possible to gain insights of a specific target audience and accomplish the goal that was set. These insights provide an effective way of getting touch with customers view. Be it email marketing or customer support, AI removes most of the guess work involved with customer interactions. On a greater scale, Content generations, PPC ads, Web design are possible applications of AI in marketing. AI and Digital Marketing Although to truly connect with a customer, a human touch is needed, AI programs can help generate reports using nothing but data. Emotions like empathy, compassion are things that machines cannot simulate, at least not yet. But since AI is not bound by human limitations, there is no way to know for sure what AI will be able to do i...

Collecting customer data in marketing has its advantages such as - catering to customers preferences, ensuring proper communication and predicting needs in a convenient way. However, there are challenges like privacy concerns, data usage restrictions etc. Benefits of collecting customer data Customer Segmentation - Collecting and segmenting customer data allows companies to better engage with existing customers and create efficient models for the customers journey. Stay in line with customers interests - When done right, the use of customer data can be used to make sure companies use this data to satisfy the customer needs and align with their interests.  Reducing the bad elements of customer data collection  Disclosure Drudgeries - The best example would be the way marketers place terms and conditions pages and privacy disclosure notices. Consumers hate reviewing and going through all the details before getting to the thing they are actually looking for. For ...

Operational analysis, Customer analytics, Fraud compliance, New product and service innovation and Data warehouse optimization are few of the most notable Big Data use cases in marketing. There are 5 ways in which the value of Big Data is revolutionizing sales and marketing Differentiating pricing strategies at the customer-product level and optimizing pricing using big data. Research shows that McKinsey's revenue comes from standard products(75%) and almost 30% of all pricing decisions throughout the year fail to deliver the best price. Increase in price by 1% translating into 8.7% increase in operating profits, given that theres no loss of volume , pricing has a significant potential to improve profits. Big Data is revolutionizing how companies attain greater customer responsiveness and gain greater customer insights. A study shows that 44% of B2C marketers are using Big Data to strengthen and increase responsiveness to 36% and are using it to gain greater insights and form...

VOLUME In relation to social media, Volume refers to the amount of data generated through websites, portals and applications. According to B2C businesses, volume enlarges the available data that is out there and it needs to be assessed for relevance. Facebook has 2 billion users, Youtube has 1 billion users, Twitter has 350 million users and Instagram has 700 million users. Each day users contribute billions of posts, pictures, videos, tweets etc and an insanely large amount or volume of data is generated every minute of the day. VELOCITY Velocity refers to the speed at which data is being generated. Everyday 900 million photos are uploaded on Facebook, 500 million tweets are posted on Twitter, 0.4 million hours of video are uploaded on Youtube and 3.5 billion searches are performed in Google. Such a huge amount of data is like a nuclear data explosion. Big data helps the companies to accept the incoming flow of data and process it fast so that it doesnt create a bottlenec...

Big data is a term used to describe a huge collection of data which grows exponentially with time. Such data is so large and complex that traditional data management tools arent able to store and process it efficiently. Few examples of Big Data  1. The New York Stock Exchange generates nearly one terabyte of new trade data per day. 2. Facebook gets 500+ terabytes of new data ingested into their database everyday. Those data are mainly generated in terms of images, videos uploads, messages and comments. 3. A jet engine can generate 10+ terabytes  of data during a flight time of just 30 minutes. With thousands of flights per day, the generation of data goes upto many petabytes. Three types of Big Data Structured Data that can be stored, accessed and processed in any form of a fixed format is called a structured data. An employee table with details such as employee id, name, gender, department, salary etc is a form of structured data. Unstructured Data with an...