Clear Analytics vs. IBM InfoSphere Information Server vs. Onspring

Clear Analytics has almost all the features which are mostly required by the organizations for their data analytics and transformation activities. Clear Analytics is built on the support of a parallel query engine which makes it handle large volume requests and also provides optimized results. However, every solution has some limitations, Clear Analytics lacks advanced features such as Predictive Analytics which is a very demanding feature in the market as most organizations are adopting AI/ML automation for their businesses. Also, it needs to add a lot of advanced visualizations so that the user has the choice of selection. Overall a good solution to be recommended.

Incentivized

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.

As an financial and consulting working professional we had many challenges related to being compliant with other financial and governmental regulations and standard. For that we need so many different process, business units and other interested parties to come on same table and work on every single control to get compliant with those regulations. In this case we have manage so many risks and work on timely remediation. Onspring worked well in this.

Incentivized

• Quick management of the data through Excel thanks to the tools Clear Analytics provides such as filtering different information for an easier view.
• Ability to add new KPIs to measure different areas of our business.
• Drag and drop tool which makes an easier usage of Excel.
• Cost-effective. I find Clear Analytics to be affordable considering the number of features added and the unlimited sharing and editing it provides.

Incentivized

• 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

Incentivized

• Findings
• Reporting
• Exceptions
• Policies
• Standard

Incentivized

• For Charts and Graphs , getting the Power Point Deck would be helpful. As of now we use the data from Excel Reports

Incentivized

• 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.

Incentivized

• Integration with other tools
• Risk Register management
• Asset and Process Management

Incentivized

• Scale of implementation
• IBM techsupport

Incentivized

I have really enjoyed working with Clear Analytics. This platform has contributed to increased production and reliable data control processes. It has flexible user interface that can be operated by any organization member. Reports are shared on simple and transparent way in the dashboard for easy access. Data analytics from all departments have created manageable working environment that have increased production.

Incentivized

I have had multiple scenarios where I had to reach out to the support team of Clear Analytics, be it access-related, general queries, during initial implementation, etc. My overall experience has always been good. I got the needed support every time without any delay. I can definitely recommend Clear Analytics simply on the basis of its excellent support team.

Incentivized

There are other great tools that are out there but Clear Analytics is reasonable for our business and provides a lot of features that we specifically needed

Incentivized

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

RSA Archer is also great tool but why I choose Onspring is because it is user friendly and easy UI on the other hand Archer is so lethal and complex system which sometimes lack behind in term performance and scalability.

Incentivized

• Super useful to get started immediately
• Didn't have to rely on migrating data
• Easy to add members
• Easy to learn and build charts

Incentivized

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

• Positive - Risk Management
• Positive - Findings Management
• Negative - Integration issue with some of tools

Incentivized