Charlotte Kramer's Colleagues at InAppBI
Charlotte Kramer's Contact Details
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Washington, District of Columbia, United States
InAppBI
Charlotte Kramer's Company Details
InAppBI enables quick and easy integration of data analytics to your applications. Its ease of use helps your users to turn your application data into smart, insightful analytics, increase your application value, and create new revenue streams.Our Mission We want to empower SaaS applications with affordable analytics.Quick and Easy to Set Up InAppBI is easy to integrate with your application and white label it according to your needs. You can connect to a multitude of data sources (including Relational, No SQL, Big Data and APIs). Once set up, you can query and transform data using SQL and full scripting support, create compelling visualizations and build custom dashboards. Avoid expensive ETL by querying directly from the single source of truth or your existing data warehouse without needing any support from the IT teams.InAppBI can be used for on-prem installation as well as on all major cloud platforms (AWS, Azure and Google Cloud).AffordableOur pricing models are simple and straight forward based on number of applications you want to use instead of number of users or number of servers.EmbeddableInAppBI is easily embeddable and has a customizable security model to support your multi-tenancy architecture. It provides row-level data security based on your application security model. The data models can adapt based on the user or tenant. Further, you can embed whole InAppBI or specific visualizations according to your needs.White-labelCustomize look and feel of InAppBI and visualizations created using InAppBI to make them look like part of your applicationCode Your OwnDeliver the insights your customers are asking for within minutes using our unique 'Code Your Own' feature of InAppBI. It lets you write complex queries or scripts to mash data from multiple sources and present them on the fly. Supports writing code in JavaScript, SQL, and native queries when connecting to BigData databases like MongoDB, ElasticSearch, BigQuery, etc.