An analytics platform is a unified solution that combines multiple functions, supporting the needs of analysts and business users across the end-to-end analytics lifecycle. An analytics platform manages all facets of the data analysis lifecycle, including data acquisition, preparation, enrichment, curation, collaboration, storage and analysis. It makes data readily available, enabling self-service access and supporting the full range of analytic and data science applications.
Why use an analytics platform?
Traditional solutions are costly and complex. In the past, organizations would typically develop an analytics capability in-house using several discrete purpose-built tools. For example, organizations might have used a data integration solution from one vendor, a data warehouse from another, and one or more business intelligence tools to access and visualize data. The problem with this traditional, bolt-on approach is that users find themselves in the integration business, managing and maintaining multiple complex software platforms. This traditional approach to deploying analytic environments results in replicated data, high costs, data governance challenges, multiple sources of truth, data delivery delays, extensive overhead to maintain, and difficulties obtaining accurate and up-to-date information.
Which analytics platform is right for your business?
Incorta’s Direct Data Platform™ is an example of this new breed of analytic platform. It delivers exceptional performance, connects to virtually any data source, including multiple data sources with varying data structures, and enables a wide variety of analytics and data science use cases. Better yet, as an all-in-one analytics platform, it enables organizations to avoid the need for costly and complex data warehouses, ETL environments, discrete BI tools, and the integration efforts associated with making them work. Unified analytic platforms such as Incorta empower everyone in the business by providing self-service access to actionable insights, faster time to value, and security without compromise. By combining data from various source systems in the organization in a common data environment, cross-functional teams can generate insights and collaborate from a complete, end-to-end view of business data and take action with confidence in data accuracy and lineage. And since the data is not aggregated, users have full fidelity to run analysis and new queries on 100% of business data down to the transaction-level details.