Splunk DataSense Navigator - Data Quality and Use Case Discovery Engine

DataSense Navigator matches data quality with use case needs, distinguishing use cases ready for activation and pinpointing outstanding data needs, all while dynamically updating the validation criteria as your environment evolves. Embark on a simplified data management journey with the DataSense Navigator, a tool designed to bridge the gap between raw data and actionable insights within the Splunk environment. Traditionally, the journey from data onboarding to use case development is often disjointed. This fragmentation can lead to overlooked use case considerations, necessitating time-consuming adjustments later on. DataSense Navigator integrates the analysis of use case and data preparation requirements right from the start, reducing delays and avoiding the hassle of rework. The DataSense Navigator addresses the industry's evolving needs by offering a streamlined, data-centric approach that automates the identification of use case field and data model requirements, enhancing efficiency and accuracy significantly. It tackles various scenarios including: • Efficient Use Case Discovery: Speeds up the identification and recommendation of use cases based on existing data quality, aiding in future planning, especially when partial prerequisites are met. • Data Quality Validation: Conducts a thorough examination of event presence within vital data models for ES use cases, offering a clear insight into data quality. • Priority Setting for Data Quality Improvement: Pinpoints gaps in field extractions or configurations, aiding in precise effort planning and prioritization of data quality improvement tasks. • Post-Configuration Push Impact Analysis: Assesses the effect of configuration changes on use case coverage, helping to identify success or the need for further adjustments. • Structured Workflow Facilitation: Accommodates varying expertise levels with its structured yet interactive workflow design, guiding users to insightful conclusions regarding data and use case gaps. One distinguishing feature is its Event-Specific Subsampling Techniques, which moves away from the traditional approach of analyzing large data sets in aggregate, to examining each event on an individual basis. This feature, along with minimal configuration, automatic adaptation to all data models, and an integrated user-friendly workflow, not only addresses the identified problems but also serves as an educational tool, illuminating each stage of the analysis process. The current landscape of data onboarding and use case enablement faces scalability challenges leading to time-consuming processes, with existing tools falling short in unifying use case quality assessment and development. The DataSense Navigator emerges as a solution in this scenario, easing the transition to a more accessible, efficient, and insightful Splunk experience. Your journey towards an enhanced data management and analysis begins with with the DataSense Navigator.