We all thought Fitbit was the fitness wave of the future. From the bright colors to the cool, sleek design, we saw this product as the next big fitness craze. However, this has not been the case. Not even close, and it has nothing to do with the device, but it’s the flawed data that’s the culprit. People want value for the products they buy, and data was the key ingredient that got people to make the purchase. Whether you are looking at counting steps or something more complex like a medical device that measures brain waves for sleep studies, accurate data is the key to success. It’s hard to imagine that, when this product was invented, it was not made a priority. Maybe they thought no one would verify the data or maybe it was just too expensive for the accuracy. One thing is for sure; this should be a wakeup call for other companies trying to get into the big data market.
Smart watches play a critical role in our lives, from Fitbits to Apple watches, they consume the vast amount of big data around to deliver a better lifestyle. Smart watches are an ingenious example of integrating technology and personal data that drives the Internet of Things(IoT) by creating big data. There is a lot of data generated that is being traced and monitored to obtain desired outcomes. Finding the appropriate data and arriving at accurate results is the key ingredient for any company trying to get a firm foothold in the big data smart gadgets segment.
The deluge of big data opens a whole new window in the field of big data analytics. It brings out patterns, correlations, trends, and preferences allowing companies to take better decisions about their products and the value it delivers. Companies dealing with smart wearables must ensure that the applications they use to track and monitor are flawless and at par with the latest in technology. All smart devices contribute to the internet of things that ultimately leads to the big data boom. Such massive volumes of data generated from smart devices are analyzed to make sense and to determine the type of data that is relevant to obtain the expected results.
This is the kind of data that Fitbit messed up with which is the cause for its low rating. Any flawed data could have a potentially negative impact on your whereabouts, be it your fitness condition, preferences or advertisements targeted towards you. There is also an issue of privacy that plagues the big data as you may not want any third party to use your private data for marketing purpose.
During all this, the trend is that smarter watch sensors will bombard the marketplace driving the internet of things. With more data, available for analysis companies can get a better insight into consumer preferences. We are yet to see if Fitbit will work to improve on their flawed updates and prove the exactness of their data in the coming days, so as to stay upfront in this competitive marketplace.