By Scott Lythgoe, CEO, Causaility
Our industry has been talking about dark data for a long time. And it’s widely recognized there are substantial amounts of hidden information that could be harvested through analytics. Why is that? Because most organizations are using only about 30% of their data assets. So, when you think about it, there’s a lot of data not being integrated into analytical processing.
For the last 20+ years, we’ve been wrestling with this enormous challenge of data integration. This is especially true when your data is fragmented by departments, where this siloed data hinders analysis. Specifically, from an analytical perspective, what this means is there’s a lot of hidden data that you’re not doing anything with, and this data holds keys to new insights that can drive discovery and innovation. The efficient use of your data assets is essential to be successful in today’s highly competitive business environments.
Dark data is not a negative reference, it is information collected, processed and stored on a daily basis, but rarely — if ever — used for any business purpose. By being proactive and investing in tools such as Causaility’s flagship AI solution, Causaition™, your research teams can explore and exploit this hidden and highly valuable but underutilized asset. Our AI solution allows your SMEs (Subject Matter Expert(s)) to model problems in the way they are performing in a real-world environment. Causaition enables you to leverage your investment in computing infrastructure while enhancing the performance of existing AI tools.
According to McKinsey, data-driven organizations are 23 times more likely to acquire customers and 19 times more likely to be profitable. Gartner compares dark data to dark matter in physics while Forrester calls digital insights the new currency of business. In our view, enhanced knowledge from your data assets leads to improved performance and satisfaction because data driven decisions matter now more than ever.
Closing the loop and linking business actions back to dark data discovery, and testing the insights gained for actionable intelligence, can be challenging. Transforming dark data to gain new discoveries means it must be acquired, shared and analyzed within its own development cycle. Unfortunately, to make their outcomes reliable, researchers spend a significant amount of time ensuring the data first is cleansed. This process often involves guessing about the meaning of the data and inferring gaps which can inadvertently lead to discarding potentially valuable knowledge assets. Our Causaition AI solution removes this need to cleanse, normalize, or integrate your data assets to deliver groundbreaking and insightful results. We remove the challenges of multiple data formats while increasing efficiencies and mitigating bias, saving time and money while moving to a “real-world” environment. Causaition’s dark data discovery generates new insights enhancing business efficiencies through dynamic unbiased exploration of options and tradeoffs with evidence traceability.
At Causaility, we believe in the transformative power of AI — and that it can only reach its full potential when it is paired with human expertise and ingenuity. Causaition is a biomimetic AI engine that employs an advanced digital twin ecosystem with a decision analysis workbench containing expert knowledge insights. This multi-disciplinary approach follows a set of principles rather than deterministic code.