Overall, Control Towers offer a comprehensive solution for managing the complexities of the supply chain. With real-time visibility and advanced analytics, companies can make informed decisions, respond to disruptions proactively, and optimize their operations for maximum efficiency and success. 5. Analytical Apps for Actions and Recommendations - CSApps ConverSight builds analytical apps using an inbuilt feature called CSApps. These apps use the sophisticated platform and models to convey information visually and also helps in creating specific call to action capabilities. The framework's breadth allows for nearly unlimited application types. CSApps enables enterprises to easily access data analytics and machine learning Insights, and helps in creating quick deployable actions. This enhances decision-making, engagement, and competitiveness by making data more impactful and meaningful. With CSApps, organizations can create custom and brand-reflective apps for internal use, stakeholders, or public consumption, helping them to understand and interact with data, make informed decisions, and improve their overall performance. The Launchpad in ConverSight is a central area from which users can access all subscription-to resources. It provides a centralized location for launching the diverse tools, apps, and resources required to do various tasks. The Launchpad serves as a dashboard from which users may access the required resources without having to wade through multiple menus and submenus. It provides a simple and intuitive interface that enables users to quickly and efficiently access the required resources. Launchpad resources may include analytical apps, data visualization tools, and business intelligence dashboards in addition to process automation tools and collaboration platforms. The Launchpad is intended to give users with an effective means of accessing the resources they require to complete their task, thereby streamlining the process and enhancing Ill. ConverSight for Data Engineers 1. Data Ingestion Data Ingestion is an important step in the machine learning and analytics workflow, and it is essential for a successful outcome. In an automated ML studio like ConverSight, the process of data ingestion is streamlined and efficient. The following is a step-by-step guide to the data ingestion and preparation process in ConverSight: Data Connectors www.conversight.ai In the first step, data connectors are created to connect to various data sources. ConverSight supports a wide range of data sources including Excel, SQL, Oracle, Fishbowl, Shopify, SAP, HubSpot, Snowflake, and many others. Users can create connectors by specifying the connection details and authentication credentials for the data source. This is done by providing the necessary connection details such as server name, port, username, and password.