Dark data is something I am thinking about a lot especially as we transfer to remote work. Dark data is generally is referred to as raw data or information buried in the text, tables, figures that organizations acquire in various business operations and store it but, is unused to derive insights and for decision making in business.
However, I believe some of the most crucial dark data comes from the conversations we have with ourselves, our team members, prospective customers, customers, stakeholders, investors and more. Human communication is a cornerstone of success and that’s why we’ve been working hard to build systems to better capture, extract insights from, and manage it.
A few notes from some of the links I’ve included in the article:
- The dark analytics market is anticipated to register a CAGR 21.7% of over during the forecast period (2020 – 2025).
- This un-analyzed data contains undiscovered, essential insights, and represents a loss of opportunity. IBM estimates that dark data will account for 93% of all data generated by 2020.
- The International Digital Corporation predicts that organizations that can analyze all relevant data and deliver actionable information could achieve an additional USD 430 billion in productivity gains over their peers by 2020.
What You Need To Know About Dark Data
What is the importance of Dark Data in Big Data world?
What Your Data Isn’t Telling You: Dark Data Presents Problems And Opportunities For Big Businesses
Dark Analytics Market Research Report: Market size, Industry outlook, Market Forecast, Demand Analysis,Market Share, Market Report 2018-2023
Dark Analytics Market Size, Trends, Analysis, Forecast (2020 – 2025)
This is part of my live-learning work. Please forgive any inaccuracies or incomplete thoughts. I will be back 😊
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