erwin Data Modeler vs. ObservePoint

I have had a chance to use few other data modeling tools from Quest and Oracle, but I am most comfortable using erwin Data Modeler. They understand your data modeling needs and have designed the software to give you a feeling of completeness when you are designing a data model.

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ObservePoint is a great tool for automating page testing and standardizing campaigns to observe accurate customer insights. You can identify customer mapping journey. They also help in data protection and insights which are very important and essential these days. They should work more on easy interface designs. Overall, it is the best.

• Reverse Engineering: I love the way we can import an SQL file containing schema meta data and generate ER diagram out of it. This is specifically useful if you are implementing erwin Data Modeler for an existing database.
• Forward Engineering: We use this feature very frequently. Where we do database changes in our physical and logical data models and then generate deployment scripts for the changes made.
• Physical vs Logical Models: I like to have my database model split into physical and logical models and at the same time still linked to each other. Any changes you make to logical model or physical model shows up in the other.

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• The UI for ObservePoint is intuitive and robust. This makes training new engineers and using the product easy and productive.
• All Audit exports are formatted as tab delimited text files making the data easy to analyze and manipulate in a Spreadsheet or database.
• The list of tag vendors that are discoverable is comprehensive making it easy to interrogate most any tagging implementation.
• Standard reporting within the UI is robust and easy to consume.

• Cost is the single largest barrier to entry with this tool.
• Would like to see a greater variety of export options available for use outside of the tool, for example as a vector graphic.
• Support has been uneven at times.

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• Page details, although interesting, are not very useful as the data is too granular and not possible to integrate with other analytics data for insights.
• Some of the custom tagging may be a little complicated, so sometimes we need an engineer or an ObservePoint tech to help us out.

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ObservePoint has a robust solution that is well supported and is continually innovating to meet new business and technology needs.

I had a lot of experience using erwin Data Modeler for designing data models. I think it's pretty intuitive and easy to use. It has enough features to represent your database requirements in form of a model.

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It's easy to navigate and learn. The reporting and output are intuitive and robust features for finding and identifying actionable insight.

I've only experienced one system availability issue in the 3 years we've been using it.

Sometimes it can get a bit slow when auditing particularly huge sites but recent upgrades in infrastructure have done a lot to mitigate this behavior.

CA customer support and our account manager have been able to support us with any issues that we have had, from managing our serial keys to issues we logged tickets to resolve. There are aspects of key management that have made it difficult over the years but support usually has worked with us.

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Support is very strong indeed and has been consistent over the last 4 years. They are also friendly and tag nerds like me!

Instructor was knowledgeable and delivered the content well.

It's easy to find the information you need when you need it and it is easy to consume.

Start with small audits until you have determined what you might want to filter out.

Not listed, but I've only used alternatives built into something like the Squirrel SQL editor. That one is semi-functional but lacking many features and, in some instances, just plain wrong. The only pro there is that it's freely available and works over ODBC. I've tried some of the other free ones like Creately but didn't have much success.

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I have not used any other product other than ObservePoint for my requirements. there are a number of features for which it has proved helpful. Technology Governance ensures our data collection tools and processes are executing as planned, so our organization can make better decisions based on better data and so on

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I have not reached an unreasonable product limitation as of yet.

• It is difficult to assign a monetary value to it. The initial learning curve was fairly long.
• It allows us to have better support documentation.
• It allows ease of communications between functional units.

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• ObservePoint has helped us quickly (within minutes) catch when a process or pathing on the website breaks, which allows us to fix it quickly. Whether technical/dev or analytics issues, without ObservePoint, they could have been undetected for weeks.

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info