IBM InfoSphere Information Server vs. Oracle Analytics vs. Oracle Enterprise Data Quality

Information Server is extremely useful to replace manual developments that require a lot of coding effort. It significantly increases the productivity of the initial development and the future maintenance of the processes since it has a visual development environment with self-documentation.

Oracle Data Visualization is very effective if used in an enterprise context with huge volumes of data coming from different systems. It supports dashboard and reporting capabilities and is easy to scale. It also allows you to leverage machine learning capabilities to extract hidden data trends. Visualization capabilities are powerful but not so various if compared to other solutions on the market. If you want to present a dashboard to an executive audience and you want to make your dashboards beautiful you must adapt them through PowerPoint.

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When it comes to cleaning large data, for instance customer data, Oracle Enterprise Data Quality comes in handy and offers best features that makes it easy to clean data and visualize any flows

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• IIS best for ETL ,not ELT , and many and diffrent source systems.
• It also can process big data , unstuctured data
• It is not only DWH , you can use infosphere for analys and see the bigger architecture of your OLTP systems

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• Available without of the box connectors for Salesforce and oracle Saas Cloud. This is a huge plus for our business since we don't need another middleware solution just for this sake.
• We are able to connect to our on-prem SQL Server database where we have our RMA database and other applications seamlessly without writing custom APIs.
• OAC writes directly into ADW which is another advantage for loading Excel files into ADW after dataflow transformations.
• OAC allows replication of the database from fusion ERP and lets us create subject areas using the data modeler.

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• Ease of management within Oracle Data Integrator (ODI) and effectivity of EDQ Director
• Ease of installation with web based client.
• Data Quality issues solved quickly, easily and jobs are controlled within Oracle Data Integrator (ODI) seamlessly.
• Setup is straightforward. Java web application (OEDQ Director) helped us for not installing any client application.

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• I would be nice to have a new web development environment for DataStage.
• Connectivity Packs such as Pack for SAP Application are a little pricey.
• It is confusing for new developers the possibility of developing jobs using different execution engines such as Parallel or Server.

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• More AI but with human back up.
• Less mumbo jumbo so even IT guys/gals can more easily work.
• More statistics (math) and orientation for those not familiar with it.
• More live as well as virtual (live) show casing of real situations in business.

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• Oracle Data Quality requires a mobile version, which would apprehend many users.
• Oracle Data Quality has an inflexible UI, which should be more enhanced.
• Oracle Data Quality fails to revise prices, which are candid solutions in controlling the number of subscribers.

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• Scale of implementation
• IBM techsupport

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Scalability and rich integration capabilities. In the future, if we go with Hyperion for the Financial Consolidation and planning purposes -BI integration with Hyperion is going to be much simpler as it has native interface connectivity and even integration capabilities with well known CRM products (Siebel) and ERP Products (Oracle EBS, Peoplesoft, SAP) is going to be easy and straight forward.

Great, if you are limited to using it along with other Oracle products; sadly, not if you are integrating with other products, which can be a challenge. It is a great product with tons of functionality and great integration with other in-house platforms. Great visuals and customization for data and analytics to provide decision-making data and analysis.

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No problems, it's that simple.

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Other than anomalies or expected quirks, there were never any earth-shattering delays.

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Oracle Analytics Support team is very proactive and I have never had a situation where I had to wait for more than a day or two to get my issues resolved. This is a very big help for us and we appreciate Oracle and its team for guaranteeing that experience.

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Oracle University offers very in-depth training.

It was a private training site.

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A properly implemented Endeca solution performs extremely well on the largest of datasets and it positions your organization to immediately achieve your ROI.

DataStage is more robust and stable than ODI The ability to perform complex transformations or implement business rules is much more developed in DS

Oracle Analytics Cloud, is one of the most agile and secure data analysis platforms that according to the budget and the amount of use, you can use the resources you need under the cloud. The Oracle brand is also very well known in this field and can meet all the needs of an organization or industry in any sector.

I know of TDQ. We looked at the feature of TDQ and decided due to the license cost that we would use EDQ

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We have seen the results of this in our initial research and are not surprised that Oracle does this like it does soo many other things in this area, so well.

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• Productivity of the development of integration processes.
• Better documentation and governance.
• Reduce training costs of various technologies.

• We've used OBIEE (or it's previous named product) for over 13 years and it's still the most used tool for BI by the business.
• We moved our largest business system off of Business Object into OBI so we could gain improved performance, reliability, and easier management of metadata.

• OEDQ reduces a lot of the manual work to review bad addresses.
• OEDQ helps to validate similar records and make it easier to keep customer loyalty.

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