Businesses are gathering critical insights on their data to improve business performance. Those tapped to gather these data insights generally come with two types of expertise. Everything is done either by a data analyst or a data scientist. While data analysts and data scientists both work with data, they each do distinct things with it.

Data analysts examine large data sets to identify trends and create charts and visual presentations, helping businesses make more strategic decisions. Data scientists, on the other hand, design and construct new processes for data modeling and production using prototypes, algorithms, predictive models, and custom analysis.

In this world of big data, basic data literacy—the ability to analyze, interpret, and question data—is an increasingly valuable skill.

How can businesses know that their digital performance improvements are good enough to keep ahead of the competition? Too much data, imperfect data, and lack of access to data are all challenges that hide the insight and intelligence needed.

Data integrity is of paramount importance in various aspects of business and decision-making. Data integrity builds trust and credibility among stakeholders, including customers, partners, investors, and regulatory bodies. When organizations can demonstrate the accuracy and reliability of their data, it enhances their reputation and strengthens relationships with key stakeholders.

Fundamentally, the information assets within an organization are what drive the potential for that organization to succeed. How we produce the highest quality information and how we assess information quality comes down to the workflow – the process by which we move information from generation to dissemination.

Every industry utilizes technology to varying degrees. Even with the digital transformation being realized everywhere, there are still some areas that need to reprioritize their technological approaches.

Data has depth and layers. Its value, meaning, and protection requirements shift depending on the circumstances in which it is obtained and used. At the end of the day, however, data is only as valuable as the insights that can be extracted from it.

Making data accessible is something we know. Whatever the search, it is important to have a comprehensive search feature and quality indexing against a standards-based taxonomy. Choose the right partner in technology, especially when your content is in their hands. Access Innovations is known as a leader in database production, standards development, and creating and applying taxonomies.

Melody K. Smith

Data Harmony is an award-winning semantic suite that leverages explainable AI.

Sponsored by Access Innovations, changing search to found.