Solutions

Company

DataMind Universe

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The whole OS. Two months. Free.

Every app, on your own servers, with your own data.

  • Your data stays on your servers On your servers
  • Installed in about 20 minutes 20-minute install
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Cloud & Data Platforms

Connect Control-M to DataMind OS.

Sync job runs, job status and job logs from Control-M into your Lake, on your own servers. The AI reads the Control-M API docs, asks you a few questions and builds the connector.

Control-M

by BMC Software

Control-M schedules the batch work that banks, insurers and retailers depend on, from file transfers to mainframe jobs. Its Automation API returns job runs, status, logs, outputs and alerts. With that history in the Lake, operations teams can measure SLA misses, find jobs that fail at month end, and tie delays to the reports and customers they touch.

Type
Orchestration
Interface
REST API
Built with
Connect Any API
Credentials
API key, Access token

02Data

What you can sync.

  • Job runs
  • Job status
  • Job logs
  • Job outputs
  • Alerts

Load Control-M job runs into your Lake and model it in the Warehouse with the rest of your stack.

Need more? Name any other Control-M data the API returns, and the AI adds it to the connector.

03Credentials

Credentials you will need.

  • An API key
  • An access token

Control-M uses an API key or an access token. You add the credentials once, when the AI asks for them, and it tells you where to create them in BMC Software if you need help.

04Questions

Questions you can answer.

Once Control-M data is in your Lake, ask an AI Mind in plain words or build the answer in DataPrism BI.

  1. Which jobs missed their SLA most often last quarter?
  2. How does runtime of the end-of-day batch change around month end?
  3. Which alerts were raised for the same job more than three times this month?
  4. How long does it take from a job failure alert to a successful rerun?

05How it works

How it works in DataMind.

  1. Pick Control-M.

    Open Lake, pick Control-M in the source picker and name the connection. Connect Any API opens with a ready prompt that points the AI at the Control-M API docs.

  2. Answer a few questions.

    The AI reads the Control-M documentation, then asks which credentials you will use, which data to sync (for example job runs and job status), whether you want a one-time load or a recurring sync, and which accounts or filters apply.

  3. Your data lands in Lake.

    It builds the connector, tests it and shows you sample rows. Then Control-M data loads into your Lake on your schedule, ready for the Warehouse, DataPrism BI and AI Minds.

06Pairs

Works well with Control-M.

Sources teams join with Control-M in the Warehouse, each one connected the same way.

Your move.

Connect Control-M and every other source on your own servers. Two months, free.