Organizations are becoming increasingly more reliant on data to make effective, evidence-based decisions to drive business outcomes. Whether this be assessing market conditions and improving customer experience, ensuring application uptime, or securing an organization, data from multiple sources — including consumers and internal systems — is critical to day-to-day operations.
This data-driven approach requires organizations to collect, store, and analyze mountainous volumes of data at speed for timely decision making. Often this means performing correlation and analysis across multiple sources and formats of varying degrees of complexity at scale.
Elasticsearch® provides the scalability and flexibility to ingest, store, and search these data sets to find relevant and actionable insights from a business, observability, and security lens. However, as more and more data is ingested, it can become unwieldy and expensive if consideration is not given to taking advantage of data architecture and structures made possible by the Elasticsearch platform.
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