Notes about Cutting-Edge Technologies and Everything

Data preparation tools have matured from initially being self-service-focused to now supporting data integration, analytics and data science use cases in production. Data and analytics leaders must use this research to understand the dynamics of and popular vendors in this rapidly evolving market. Key Findings The market for data preparation tools has evolved from being able to support only self-service use cases. Modern data preparation tools now enable data and analytics teams to build agile datasets at an enterprise scale, for a range of distributed content authors. The market for data preparation tools remains crowded and complex. The choices range from stand-alone specialists to vendors that embed data preparation — as a key capability — into their broader analytics/BI, data science or data integration tools. While most data preparation tool capabilities have been maturing at a steady state, organizations continue to cite “operationalization” — the ability to promote ...

The Five Use Cases and 15 Critical Capabilities of an Analytics and BI Platform We define and assess product capabilities across the following five use cases: Agile, centralized BI provisioning: Supports an agile IT-enabled workflow, from data to centrally delivered and managed analytic content, using the platform’s self-contained data management capabilities. Decentralized analytics: Supports a workflow from data to self-service analytics, and includes analytics for individual business units and users. Governed data discovery: Supports a workflow from data to self-service analytics to system of record (SOR), IT-managed content with governance, reusability and promotability of user-generated content to certified data and analytics content. OEM or embedded analytics: Supports a workflow from data to embedded BI content in a process or application. Extranet deployment: Supports a workflow similar to agile, centralized BI provisioning for the external customer or, in the pu...

Modern analytics and business intelligence platforms represent mainstream buying, with deployments increasingly cloud-based. Data and analytics leaders are upgrading traditional solutions as well as expanding portfolios with new vendors as the market innovates on ease of use and augmented analytics. Details >>   (Provided by Looker here )