Dataman's Blog

It has been a while since artificial intelligence is being used by marketers for not one but many reasons. AI enables a highly personalized website experience for the customer and can help to display the apt kind of content for any visitor (Akter and Wamba, 2016) . AI-powered content is being used on a large scale by companies like Amazon (Amazon Go), Starbucks, Alibaba (New Retail), etc. (Brenner, 2018) . Content creation chat-bots have become a thing now. For example, Sephora, a cosmetic brand, have a chatbot that not only provides assistance to the customers but also helps in the research phase, which is like a new form of content marketing (8 Ways Intelligent Marketers Use Artificial Intelligence, 2017) . Businesses have started optimizing their return on investment with the help of AI by placing ads in front of viewers that are relevant (Hall, 2019) (Akter and Wamba, 2016) . These are the current trends in the field of AI which are used in marketing but the future holds a l...

Today, customer data is being generated at an unimaginable rate, which is being analyzed and put into use for marketing purposes. This data is used to create personas which can later possibly help in predicting consumer buying decisions. The data consists of: Identity Data – Name, Address, Contact, Email, Social network, Job information, etc. Quantitative Data – Online & Offline purchase information, inbound and outbound communication information, online activity, etc. Descriptive Data – Family details, Lifestyle details, Career details, etc. Qualitative Data – Information about attitude, opinion and purchase motivation information.                                                          ...

Today, marketing is one of the most significant departments for every company, no matter how big or small it is. Marketing is not only responsible for the conversion of sales but also has a huge impact on the amount of recognition a company gets from its customers. An effective marketing campaign can be a secret to any company’s way to prosperity. In order to have an effective marketing plan, it’s quite important for the marketing team to understand the market, competitors, customers and all other factors. Here’s where Big data comes into the picture. Big Data consists of information in massive amounts, be it related to the market or the customers or the competitors and can be used for strategizing a marketing plan which can possibly give the best results (Warner, 2019) . Following are the three ways how Big Data can add value to marketing: Understanding the Target Audience better: In order to achieve the goal of reaching out to the maximum audience and targeting the existi...

Big Data, which in simpler terms means data which is so large in amounts that the traditional techniques of computing cannot process. Hence, it isn’t really easy to process or/and understand such an enormous concept. But it can be simplified by understanding the 3 important characteristics of Big Data which are the VOLUME, VELOCITY & VARIETY. VOLUME: "HOW MUCH?" The first thing that comes to mind after looking at the term Big Data is how BIG it is, suggesting its VOLUME. Volume measures the huge quantity of data that is being generated on through websites, online applications and portals around the world. This data can either be in text, image and audio/video format. This data can be as small as some kilobytes to thousands of terabytes (maybe even more but not less) (WHISHWORKS, 2017). VELOCITY: "HOW OFTEN?" Big Data isn’t just enormously big but is also growing at a rapid rate. Even if we just consider social network platforms, there ...

The term BIG DATA has been under the limelight since quite a while now. It's definitely the next BIG thing as the name suggests but is also linked with a lot of misconceptions and controversies. In this post, I would try to explain what Big Data is in the simplest way I can. BIG DATA Big Data refers to enormous amounts of data which is so huge that it can't be stored or processed by traditional computing or database techniques, which later may even reveal trends, associations or patterns relating to human behavior if processed and analysed using right tools and systems  (Sagiroglu and Sinanc, 2013). CLASSIFICATION OF BIG DATA   (Shahzan, 2019) STRUCTURED DATA - Data that has a proper structure associated with it. Eg.: Excel sheets, CSV files, etc SEMI STRUCTURED DATA - Data that doesn't have a proper structure but contains semantic tags. Eg.; Data present within emails, log files, etc UNSTRUCTURED DATA - Data with no structure at all. Eg. : Ima...