Recent studies revealed about 40% of enterprise data is either inaccurate, incomplete, or unavailable, which results in businesses failing to achieve their data-driven goals. Venture Beat brought this interesting information to our attention in their article, “4 tips for using analytics and data to drive growth and profits.”
How do major organizations use data and analytics to inform strategic and operational decisions? The answer lies in big data analytics.
The key to analytics success is learning how to have a business approach to picking the right projects that will drive maximum impact among the thousands of analytical tasks that might come up during the year. In a world of fierce competition, especially for startups, a goal-driven approach is often the only difference between success and failure.
Data plays an increasingly important role in our lives. Everything from our healthcare to our entertainment is driven by information produced by millions of people worldwide. As we continue to create data in greater volumes and on a larger scale, the data industry is growing.
At the end of the day, that data needs to be accessible and searchable to produce findability. Findability emerges through a strong, standards-based taxonomy. Access Innovations is one of a very small number of companies able to help its clients generate ANSI/ISO/W3C-compliant taxonomies and associated rule bases for machine-assisted indexing.
Melody K. Smith
| Data Harmony is an award-winning semantic suite that leverages explainable AI. |
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Sponsored by Access Innovations, the intelligence and the technology behind world-class explainable AI solutions.
