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Automation, data collection, machine learning, and artificial intelligence was developed to make humanity more efficient. But in many ways, the complete opposite happens.\\xa0

When companies prioritize setting up multiple streams of data over investing in data management or data analytics, then the flood of data will eventually become overwhelming. It is crucial that businesses have a system and process for collecting, using, and managing data.\\xa0

IT and HR departments, in particular, face this issue the most. Plenty of teams do not have the expertise in data analytics to make the most out of the data being collected. There are so many tools for data collection, but the true utility of data is out of reach in many cases.

Join Alexander and Jason as they question modern data collection methods, and how it can be improved to create a win-win situation for both businesses and their target audience.

Is \\u201cToo Much Data\\u201d a Possibility?

Imagine having data collection software that could track employee behavior, keystrokes, morale, and employee sentiments. Or having companies tap into Fitbits and Apple Watches so they can monitor your health and keep wellness costs done.

Aside from the fact that this sounds like something out of George Orwell\\u2019s 1984, your target audience would want to know, at the very least, that all the data that\\u2019s being collected is being treated with dignity and respect.\\xa0

Today, data is an extension of an individual\\u2019s identity. It has information on personal habits, whereabouts, and relationships. Individuals must hold businesses, applications, and institutions to a higher level of accountability when it comes to managing personal data. On the other side of the coin, businesses need to invest in tools and platforms that respect the digital identity of their target audience.\\xa0

Treating Data With Respect

Data analytics isn\\u2019t something that you should do on your own and it definitely isn\\u2019t something you should shoehorn into your HR or IT department. Instead of ingesting multiple streams at once and then cramming for solutions to overcome the flood, TARTLE gives businesses an avenue to go directly to the individuals who create these data streams and buy their information from them.\\xa0

TARTLE was built to give companies they need to source ethical data. There is no need to invest in third party programs and backdoor applications that disenfranchise either you or your audience. On TARTLE, everybody gets the compensation they deserve for working on their data.

What\\u2019s your data worth?

Sign up for TARTLE through this link here.

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