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Vendor Landscape Plus: Data Integration Tools

Integration is the name of the game.

More Details

Your Challenge

  • Current integrations are a series of hand-coded, point-to-point integrations with little consistency on the tool or approach used.
  • Multiple tools and approaches are costly in terms of licensing, skill development, maintenance, and longer project time lines, but it's difficult to justify the cost of a data integration tool.
  • This solution set will help quantify the cost of internal development, costs of building vs. buying data integration tools, and help select the right tool.

Our Advice

Critical Insight
  • At some point data integration tools become required for business growth. They improve operations, marketing, and customer experience.
  • Data integration tools typically reduce development times by 60-75% and improve efficiency and operational success. If a tool can take one developer off your payroll, it has probably paid for itself.
  • Choose your solution very carefully as products evaluated offer a tremendous range of functionality and target vastly different needs. Tool effectiveness is highly vendor-dependent as many tools don’t actually reduce necessary hand-coding.
  • Platform standardization doesn’t lock you in with that vendor for tools; looking elsewhere is often more cost-effective.
  • Prioritize integration; start with the mission critical, especially legacy systems.
Impact and Result
  • Data integration tools decimate workloads; thirty-day processes can be done in twenty minutes!
  • On completion of the work outlined in this solution set, you will be able to make a rational and informed vendor selection for a data integration solution, and dramatically improve your integration process.

Get to Action

  1. Evaluate data integration needs and tools

    Pick the best enterprise data integration solution.

  2. Determine if the enterprise could benefit from DI tools

    Continue with selection process or DIY.

  3. Use requirements to set evaluation priorities

    Develop a custom shortlist based on the criteria most important to the enterprise.

  4. Identify vendors and solicit information

    Harvest apples-to-apples comparisons of DI tools.

  5. Evaluate RFP responses to establish a shortlist

    Move forward with only applicable solutions.

  6. Test potential DI solutions

    Identify the solutions that best meet enterprise needs.

Related Solution Sets

Develop an Application Integration Strategy

Application Integration: new concepts in a time-honored field.

Vendor Landscape: Application Integration Middleware

Essential plumbing for your applications.

Get the Complete Storyboard

See how all the steps you need to take come together, with tools and advice to help with each task on your list.

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Integration is the name of the game.

Solution Road Map

Other Solution Sets in Data Integration & Data Management
1. Move From Chaos to a Realistic Data Integration Strategy
Find a balance between a hopelessly tangled web of integration structures and expensive, impractical utopia.
2. Vendor Landscape Plus: Data Integration Tools
Integration is the name of the game.
3. Tackle Data Quality Issues
Low-quality data saps time and money. Stop bad data in its tracks by developing a comprehensive strategy for cleaning your data – and keeping it clean.
4. Implement a Master Data Management Strategy
Manage the truth, the whole truth, and nothing but the truth with an MDM strategy.
5. Implement a Data Integration Strategy in the Cloud
Don't let your data drift away.
View the full Solution Road Map