be most effective, however, a culture of analytics and digital empowerment must be fostered among employees.”
Harnessing the power of data also aligns with customer demands. “Customers in the public sector are progressively seeking solutions that offer automated analytics capabilities to derive insights and tackle challenges more efficiently,” says Steve. “Analysts within the sector are crying out for self-service platforms that facilitate collaborative working on analytic workflows and applications across organisations. “There is a particular focus within the public sector on compliance, data security and enhanced encryption measures. Compliance on these fronts increases the scalability of self-service data analytics platforms within the public sector – boasting visibility, control and audibility to make analytic governance more achievable. Resellers selling into the public sector should be conscious of these requirements and seek out the right data analytics solutions to meet them.” Reseller solutions This is just one of considerations that resellers should have when selling to public sector organisations. “Resellers should offer solutions that align with stringent security principles and compliance standards as mandated by central bodies,” says Steve. “Data analytics products for the public sector should be AI-ready and future- proof platforms with the data quality, data security and governance mechanisms that IT needs while providing the accessible AI and NLP interface to enable everyone to utilise data quality checks that identify potential data preparation anomalies, easily transform and standardise data based on data quality rules, and confidently deliver the insights. Putting human ingenuity front and centre as they work alongside machines to amplify intelligence and solve problems the business needs will enable quick, confident and data-driven decisions making.” Andy adds that resellers should offer a comprehensive, unified data platform approach. “This encompasses four core components: data management, data intelligence, data governance and data integration,” he notes. “It’s important that these solutions are not only robust but also align with the public sector’s intricate
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