Informatica Cloud Data Quality vs. The Weather Company

We used Informatica Data Quality to measure the "Data Quality Score" of internal and external reports at my company. Business users set up data profiling and prepared detailed analysis documents for business analysts. and developers developed Data Quality Mapplets for other IT teams to import their Informatica Power Center repositories. Results are stored in a centralized data quality space and then reported and summarized to related business users in detailed ways. At the end of each project, we are now able to place a "Data Quality Score" watermark score on each report involved.

Incentivized

Well suited:

• Forecasting for severe weather events.
• Generating overall seasonal trends in upcoming weather patterns.
• Content is easy to read and understand.
• Great for business decision-makers, c-level executives.

Not well-suited:

• Year ahead forecasts.
• Data that can be trusted as finite days before a weather event. The data and forecasts can change often, so remaining up to date is key.

Incentivized

• Watch the data real time- After creating the job the data quality engine checks and run the custom rules creating a navigation window at the bottom for review and accessing the data right away.
• Character Set Mapping
• Makes sense of our own data, which in turn gives us confidence that we can provide to the end users. IDQ helped us with erroneous data in accounting and HR for accurate and immaculate reports

• Detailed forecasts.
• Hyper-local forecasts.
• Daily updated local and meaningful forecast for our business.

Incentivized

• Several partnerships diminishing the value of technologies
• Unable to get list of objects from Repository (like sources & targets) that don't have any dependency
• Scheduling: The built-in scheduling tool has many constraints such as handling Unix/VB scripts etc. Most enterprises use third party tools for this.

• Forecasts are not always accurate.
• Winter weather forecasts are now often now-casted which can be challenging for proactive planning.
• Would love to see more tips on how businesses can prepare for severe weather by the use of the Weather Company’s data.

Incentivized

I gave a rating of 8 due to the fact that we use Informatica for both our data quality product and ETL product. Having both integrated makes it so much easier. Microsoft had a similar product of finding duplicates, but at the time it didn't seem mature enough. The usability also in IDQ was pretty easy to navigate and use.

Easy to use not only for developers but also business users

Incentivized

The application works well except an occasional error out while using the system. It usually gets fixed when restarting the Infa server

Incentivized

Performance works just fine. It was able to load 200+ business terms, 150+ DQ automation, etc. very well.

Incentivized

Support for the Weather Company has not been an issue. The predictive analytics processes that they use allow them to remain a strong force in the world of weather patterns and forecasts. Brand recognition allows them to continue to grow and develop in a world that is not as crowded as other predictive analytics areas.

Incentivized

Informatica Data Quality has a wide range of cleansing features, that are detailed, professional, and accurate in scaling down the required database. Further, Informatica Data Quality ensures there is proper collaboration, and this fosters businesses to have the freedom of working closely with several programs. Finally, Informatica Data Quality design is authentic and allows personalization.

Incentivized

Insightful meteorologists that both understands the science of weather and also understands our business needs.

Incentivized

Scalability works as expected and it is truly an enterprise system.

Incentivized

• Integration with tools like PowerCenter helped faster delivery of product, and at the same time conversion
• Reduce overall project cost due to bad data , bad quality, exceptions identified nearing go-live and post production
• Employee efficiency is increased exponentially due to more automated, customized tool

• Plan ahead business support for our clients.
• Awareness of weather events, with enough time to pivot as needed.
• Determine the necessity of seasonal roles staffing needs based on seasonal forecasts.

Incentivized