Data Warehousing

Data warehousing can be of great value to a company as it can improve data consistency, minimize risks and all in all increase efficiency. However it is an expensive and complicated solution since the quantity of data is constantly growing and it has to be updated in real time. Moreover, legacy systems need to be accessed and consequently specialist skills are required for their processing. Another problem that might arise is the reliability of data, which, if it’s not guaranteed, can cause sluggish or partly adoption.

Still, many organizations choose to reconcile their data in data warehouses, data marts and operational data stores because the benefits – like the improved consistency, the reduced risk and the improvements in the time needed to complete the project and increase its value – can be more important than the drawbacks.

This is especially true when using Transformation Manager (TM), a single platform that can meet those challenges and has ensured that companies will be able to deliver their large amounts of data in data warehouses successfully and of course within budget restrains. TM offers a fully scalable and flexible solution that stands out for its:

• Traceability features that allow for full audit trail analysis.
• Automatic documentation to ensure transparency and reliability.
• Scalability that ensures high performance even when processing bulky volumes of data.
• Wizards that guarantee exploitation of TM’s abilities and results quickly and efficiently no matter how often changes might occur.