You're making urgent business decisions. How do you maintain data accuracy and integrity for quick analysis?

Dentre as melhores capacidades de garantir o total uso de dados está o saneamento e estruturação de todas as informações presentes nos sistemas. No Brasil é comum a utilização de vários sistemas com linguagens distintas serem utilizados por uma mesma corporação para controle de suas cadeias produtivas. ERP’s, CRM’s, EHR’s, PACs, Prontuários eletrônicos, são geralmente utilizados em saúde de maneira conjunta proveniente de distribuidores diferentes. Para que as informações produzidas possam gerar insights adequados esses dados precisam ser padronizados para evitar redundâncias que podem levar a erros e principalmente falhas de processos. A Horuss AI é a única ferramenta no país que atualmente unificando qualquer tipo de informação.

Right Sampling of data , its volume , frequency , validity and timing plays very important role in data accuracy and integrity.

To ensure data accuracy in urgent business decisions, I prioritize real-time data validation to identify errors instantly. Leveraging trusted sources and automating data entry minimizes human error and enhances reliability. Additionally, I establish regular backup protocols to safeguard against data loss and maintain consistency across platforms. By integrating these strategies, I can quickly access accurate information, enabling informed decision-making under tight timelines. Continuous monitoring and auditing of data processes further reinforce accuracy and integrity, ensuring that decisions are based on trustworthy insights.

Data accuracy is crucial in understanding the underlaying issues in the problem. Also it helps us in bringing the most recurring issues to the limelight. This can be facilitated through various Business Intelligence softwares like Power BI which brings out real time data analysis through interactive dashboards.

In fast-paced business environments, data accuracy is crucial for timely decision-making. For eg, during the COVID-19 pandemic, many organizations relied on real-time data analytics to navigate rapidly changing market conditions. Companies like Zoom thrived by using live metrics to adapt their services based on user demand. To ensure data integrity, implementing frameworks such as the Data Governance Framework can help establish clear data management policies. Utilizing tools like ETL processes automates data collection, reducing manual errors. Also, fostering a collaborative culture encourages teams to verify data insights collectively, leading to informed, agile decisions. Prioritizing these enhances responsiveness and drives success.