Strategy can be challenging for many organizations and leaders. When it comes to data strategy, it gets even more ambiguous. This interesting and important subject came to us from CIO DIVE in their article, “5 uncomfortable questions to improve enterprise data culture.”

Information management and technology leaders need to find the gaps in their data strategy if they want to actively shape a data culture that enables data-driven decision-making.

Intuition and gut instinct can bring some value to making important business decisions. But they aren’t reliable ways to make informed decisions. Following a hunch without using a data-driven approach is often risky. This is especially true in high-stakes decisions at a large organization.

A data-driven strategy is based on collecting and analyzing data. It demands that your organization take a systematic approach. 

Without a systematic approach to analyzing data, it’s easy to give in to unseen biases or assumptions. Data Harmony is a fully customizable suite of software products designed to maximize precise, efficient information management and retrieval. Our suite includes tools for taxonomy and thesaurus construction, machine aided indexing, database management, information retrieval and explainable artificial intelligence (AI).

Melody K. Smith

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

Sponsored by Access Innovations, changing search to found.