If you have ever searched for Big Data, chances are that Search Engines would throw up a random article on Dark Data and Deep Learning. Often, Big Data and Dark Data are used interchangeably and with unexplained ambiguity that only an expert analyst with advanced Big Data analytics could answer. In 2019, the concept of Dark Data is going to proliferate deeper into business operations, especially in Business Intelligence and Analytics.
Before we dive into the application of Dark Data and how it differs from those of Big Data analytics, you should know about Structured and Unstructured Data. Dark Data is the hidden lake within Unstructured Data pool sourced from various computer network operations. Unlike ‘tangible data’, the dark data can’t be used to derive information or make decisions. According to a leading data research academia, businesses are utilizing only 1% of their data— 99% remains hidden as Dark Data.
At Big Data conferences and events, you will hear a lot about how dark data analytics can illuminate thousands of opportunities hidden within unstructured data.
In the coming years, Dark Data analytics could increase your value in a business intelligence role.
Dark Data Knowledge Makes You Invincible
While the whole market is focused at Big Data analytics, here is your chance to go after the dark. When you work with only 1% of the data, you can expect very limited outcomes. However, when you are experimenting with Data Discovery tools to hunt down Dark Data, you can dig out mind boggling volumes of analytics and information that can help to build new paths into the future technologies.
The average salary package of Dark Data Analytics is 6-10 times higher than a traditional Big Data Analytics.
Top Ten Technologies Depend on Dark Data Exploration
New-age technologies like the Internet of Things (IoT), Connected Devices, Cloud Computing, Neural Networking, Conversational AI and autonomous vehicle engineering are all disrupting the current BI operations. They are all driven by current crop of Big Data analytics. However, their survival beyond 2025 could be periled if companies don’t leverage their existing data processing capabilities and explore Dark Data science.
By 2020, all top ten technologies would increase their investments by 76%, growing their Dark Data universe by a whopping 269 times of their current capabilities.
Dark Data Could Expose Data Privacy Infringements
If caught, major businesses could suffer billions of dollars as fines and penalties from data regulation agencies. For example, GDPR is the biggest challenge for all businesses dealing in customer service and software delivery operations. 80% of these companies have no clue about the kind of dark data that gets collected, even as they comply with GDPR regulations. If exposed, Dark Data analytics could help agencies find companies that infringe on GDPR standards. For companies willing to fully comply with GDPR, Dark Data analysts could save them hundreds of billions of dollars every year by helping hidden risks in collecting personal data.
In the next 12-18 months, Chief Information Officer (CIOs) would strategically look to hire only Dark Data Analytics to drive their explorations into the vast galaxy of unstructured and dark data. Grab your Big Data Analytics certification to leverage the growing opportunities in the Dark Data industry.