Pega Platform
by Pegasystems
Pega Platform runs case-based work for organizations such as banks, insurers and public agencies, and the Pega API returns cases with their type, stage and status, assignments with goals and deadlines, work queues, data views and attachments. Analyzing that in your own Lake shows where cases wait, which queues run late, and how operational workload compares with staffing, customer and financial data held elsewhere.
- Category
- Developer Tools
- Type
- Low-code
- Interface
- REST API
- Built with
- Connect Any API
- Credentials
- OAuth 2.0, Username and password
02Data
What you can sync.
- Cases
- Assignments
- Data views
- Work queues
- Attachments
Report on Pega Platform cases in DataPrism BI and let an AI Mind answer delivery questions in plain words.
Need more? Name any other Pega Platform data the API returns, and the AI adds it to the connector.
03Credentials
Credentials you will need.
- OAuth 2.0 (client ID, client secret, refresh token)
- A username and password
Pega Platform uses OAuth 2.0 (client ID, client secret, refresh token) or a username and password. You add the credentials once, when the AI asks for them, and it tells you where to create them in Pegasystems if you need help.
04Questions
Questions you can answer.
Once Pega Platform data is in your Lake, ask an AI Mind in plain words or build the answer in DataPrism BI.
- What is the median time from case creation to resolution by case type?
- Which work queues hold assignments past their deadline, and how many?
- In which stage do cases of each type spend more than half their life?
- How many assignments does each operator complete per day, and how does that vary by queue?
- Which case types carry more attachments, hinting at manual document work?
05How it works
How it works in DataMind.
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Pick Pega Platform.
Open Lake, pick Pega Platform in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Pega Platform API docs.
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Answer a few questions.
The AI reads the Pega Platform documentation, then asks which credentials you will use, which data to sync (for example cases and assignments), whether you want a one-time load or a recurring sync, and which accounts or filters apply.
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Your data lands in Lake.
It builds the connector, tests it and shows you sample rows. Then Pega Platform data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.
06Pairs
Works well with Pega Platform.
Sources teams join with Pega Platform in the Warehouse, each one connected the same way.
