Showing posts with label value. Show all posts
Showing posts with label value. Show all posts

Sunday, May 14, 2017

Analytics Data Monetization: YouTube Edition

With so much analytics data being stored, companies are quickly realizing that they are sitting upon a potential money goldmine. Sure, they use the data within the business itself to make large decisions, plan ahead, improve in certain areas, and essentially grow the company, but others can use it too, and will pay for their analytics. Businesses recognize the importance of valuation of intangible properties such as the data, but not too many of them realize how significant their data is, and how imperative it can be to the success of its digital transformation process.


According to sloanreview.mit.edu, “companies can take three approaches to monetizing their data: (1) improving internal business processes and decisions, (2) wrapping information around core products and services, and (3) selling information offerings to new and existing markets.” Each of these approaches are diverse in their what they are capable of and the commitments they require, however all of them represent an important chance for a company to set itself apart in their market field.

In order for company leaders to monetize their data assets, it is important that they develop tactical monetization strategies. Additionally, they need to keep the strategies as important assets and consistently focus on not only how to stay on top of, but also improve. A monetization strategy can be defined as: “a plan to achieve one or more business goals through tactics or actions that have a quantified benefit” (retailcustomerexperience.com).

YouTuber’s Monetization
As someone who spends a large amount of time on the website YouTube watching videos or listening to music, I have always been fascinated about how the YouTube channels are making money, and how the advertisements, brand deals, or partnerships come into play. Recently an issue of advertisement monetization has sparked tremendous outrage within the YouTube community. Large channels with over millions of subscribers have noticed a dip in their wallets. YouTube had begun demonetizing several videos, thus leading to many angry, frustrated, and upset YouTubers.


Now you may be wondering how does YouTube demonetizing videos have anything to do with data analytics? The analytics from the YouTube channels specific to individuals were one of the first ones to take hard hits. Their data displayed that because they were losing on monetized videos, they were losing people, and losing people means losing money. YouTubers rely on their analytics to show brands, business partners, and companies that why they should invest their product, time, or services on them. There have been times where YouTubers have even admitted to selling their channel analytics data. The digital revolution has made it so that hundreds of thousands of individuals can take the entrepreneurial side of the career path. Through one channel developing thousands then subsequently millions of subscribers, it is only a matter of time before their “business” takes off. There are kids the age of 13 making millions of dollars a year through posting videos online. Their online following has led several companies to change their courses of spending their marketing budget. The analytics taken from a channel such as Logan Paul, goes further than just how many views his channels makes on a single video, but also how many people are purchasing his merchandise, following him on social media, interacting, etc. Because there are many potential revenue streams, Paul is able to form a business out of his channel. If he chooses to monetize his analytics data, companies will perhaps have more of an insight as to what they should do for their businesses.

Traditional companies are rapidly realizing the importance of watching, maintaining, and being receptive to their data analytics. Whether it is the data from their YouTube channel, or analytics from their website, if they choose to, they can take all the information they’ve gathered and make a profit.

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Monday, May 1, 2017

How Companies Find Value in Big Data


The main reason in which companies use big data is to reduce their costs. According to a survey conducted by the Harvard Business Review, 49.2% of companies who have started to use big data have seen value in utilizing it, while 27.4% have not even begun using it. The survey also showed that companies are not just focused on seeing the analytics and big data, but taking the information and developing strategies that will positively enhance the business. Companies are now able to leverage their future decisions to innovate as well as planning based on data results.


A section of the chart above that stands out to me is the fact that there is a very large percentage of companies who have not started using big data in order to transform their business for the future. The sooner companies recognize that analytics is indeed the future, the better they are able to tackle existing issues the business is facing as well as keeping up with their area in the market. Whether it is a large company such as General Electric or a small start-up, the future of their business relies heavily on knowing their space in the market inside-out for them to stay current.

https://hbr.org/2017/04/how-companies-say-theyre-using-big-data