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Checklist: Adding value to your applications with real-time analytics

Is your organization ready to take advantage of the convergence of applications and analytics to drive greater business value?

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Organizations are integrating analytics with enterprise applications. This integration improves overall enterprise efficiencies and provides insights into customer service and transactions.

For years, enterprise applications and data analytics have existed as disparate functions, mostly for architectural reasons. But that is changing. Organizations are integrating analytics with enterprise applications. This integration improves overall enterprise efficiencies and provides insights into customer service and transactions.

Follow this application readiness checklist to prepare your organization for the convergence of enterprise applications and data analytics:

Establish business priorities

  • Meet with your functional counterparts and determine which data could improve critical business processes or user interaction. For example: What if you had real-time analysis of a person’s credit history while talking to them on the phone about a loan application?
  • Determine how this information could improve the process or customer engagement.
  • Prioritize which business processes you should enhance with real-time analytic insights.
  • Determine which data would provide the most positive business impact.

Identify data sources to improve those business processes

  • Inventory the data you currently have available.
  • Identify information that is missing and plan to integrate it.
  • Identify the types of analytics you would run on that data.
  • Define the quality of the data required, determining the impact of bad data on your business process.
  • Define the data “freshness” your organization requires, determining the impact of out-of-date data.

Plan for ongoing data management

  • Define a process for ongoing data quality management. A best practice is to have scorecards to quickly show if the data quality is meeting the goals that you have established.
  • Make sure that your business counterparts either are actively engaged with or own the governance of your data. Their input on the business context of the data is essential to success.

Plan for the future

  • Define a data management architecture that will last. Run your data management as an automated system with sharable and reusable logic. Avoid a series of one-off integrations that will be inflexible and brittle when changes are required.
  • Consider that the data architecture for your applications may very well be a hybrid of data warehouse and big data environments for your analytics.
  • Meet regularly with your business counterparts to prioritize additional areas where analytics may provide business value to enterprise applications.
  • Adapt this checklist to your organization’s priorities and culture.

Find out more on how to keep your enterprise applications synchronized with the best and most trusted data.

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