Data Verification and Alert Mechanism

Data Verification and Alert Mechanism

Application UseCases:

1. Metadata Modeling - In this you can manage application specific knowledge with intelligent search mechanism - You can search against key words across application. For Example, User types “Sync” to get various details about Sync mechanism available as a part of Application Services

1. Data Verification and Administration - In this phase, analyst set rules based on application and domain knowledge. For example, null checks on various fields of data.Here user can author rules like “Client ID cannot be null” or “ClientID null % < 10 % of total data “. Rules would be written in simple language and would get translated later on by the application.

1. Alerting Mechanism - Analyst can set alert based on a business KPI. Let say if a KPI increases by threshold percentage, it would send alert. Later on we can build a Inference Models, where the model can send alert if some KPI’s goes out of sync. As an example “If unique user for particular region is becoming less than average send alert”.

This application would have rich user interface where analyst can author rules using simple language construct. He can also search based on Application from the application repository.

It would also have a administrator interface where admin can feed domain metadata in the system to enhance the search and also schedule Rules as authored by Analyst.