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Upcoming Research:
Implement a Data Integration Strategy with the Implications of the Cloud

Don't let your data drift away.

More Details
CAUTION: This content has been retired, and is no longer being maintained. It may contain information or links that are out of date and/or broken. Please use this solution set with caution.

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Your Challenge

The growing adoption of Cloud-based services has created a wide range of data integration and quality issues. Organizations who took advantage of SaaS offerings to get around IT obstacles are flocking back with inaccurate reports and unusable customer data. Info-Tech's solution set on Data Integration Strategy with the Implications of the Cloud will help customers take advantage of Cloud agility while retaining quality data.

Related Content

Note

Vendor Landscape Plus Storyboard: Data Integration Tools

Hand-coded point-to-point integration solutions offer little consistency, require constant rework, produce data quality issues, and can actually hinder enterprise growth. Use this research to get a handle on how you can best integrate diverse source data, and which software vendors will help you manage your data.

Note

Storyboard: Move from Chaos to a Realistic Data Management Strategy

Many mid-sized organizations live in a state of data chaos. While it's not a conscious decision, many sink themselves further into a messy data architecture by using insufficient tools, methods and processes. Understand the basics of data integration, methods of setting up an architecture, and the options for moving from chaos to control, and eventually to optimization.

Note

Storyboard: Tackle Data Quality Issues

Despite the costs and headaches associated with having poor data, most organizations struggle to define and implement a strategy for effectively improving data quality.

Tags

SaaS, Data management, Data integration, data quality, Cloud

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  5. Implement a Data Integration Strategy in the Cloud
Don't let your data drift away.

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