Data-focused initiatives remain a priority for IT leaders, as they should. About 55% of IT decision-makers recently surveyed expect increased investment in analytics capabilities over the next 12 to 18 months. This is up from 44% in last year’s study. This interesting topic came to us from CIO Dive in their article, “Data training, governance and quality top concerns as companies commit to analytics.”
Every business wants the advantages of data solutions. But analytics insights are only as good as the data – and the people – behind them.
Data quality analysis is the final step in the data understanding stage in which the quality of data is analyzed in the datasets and potential shortcomings, errors and issues are determined. These need to be resolved before analyzing the data further or starting modeling efforts.
To get the most out of investments in new and emerging data technologies, the majority of survey respondents prioritized self-service tools to facilitate better data access, and four in ten said they are looking to recruit talent with the skills to provide analytics training to non-technical staff.
It has never been more important to have the right people and technology. 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.
Melody K. Smith
| Data Harmony is an award-winning semantic suite that leverages explainable AI. |
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