Clear Analytics vs. IBM Cognos Analytics vs. IBM InfoSphere Information Server

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.

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For Transaction monitoring, we build reports for executive management, providing insights into the number of alerts, the types or categories of detection scenarios, the risk profile, and a snapshot of high- or urgent-priority cases to be reported to AUSTRAC. Congos helps to build the report by ingesting alert data exported from SAS datasets. It joins with other data from Teradata and Customer Hub (Oracle).

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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.

• 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.

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• Enterprise reporting - Create, customise, and run reports on sales trends, consumer sentiment, etc.
• Dashboard creation and data exploration & analysis - Using drag and drop feature to create ad-hoc visualisation. Additionally, using AI powered natural language query feature for data analysis and dashboard input (formation of pie, bar, line charts). It's useful for no-technical person to put queries around the spreadsheet data to get quick answers.
• Building insights for accurate decision making - Package reports with data backed insights for stakeholders in pdf, and Excel format to support business ad-hoc cases, forecasting and strategic recommendations on relevant asks.

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

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• IBM Cognos Analytics enables customer data segmentation, which is essential for marketing, improving and streamlining purchasing behavior and preferences. This helps companies create more targeted and effective marketing campaigns.
• Our clients Through data analysis, we can identify and observe trends in the behavior of other clients, allowing us to anticipate needs and adjust strategies to avoid consequences.

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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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For an existing solution, renewing licenses does provide a good return on investment. Additionally, while rolling out scorecards and dashboards with little adhoc capabilities, to end users, cognos is very easily scalable. It also allows to create a solution that has a mix of OLAP and relational data-sources, which is a limitation with other tools. Synchronizing with existing security setup is easy too.

• Scale of implementation
• IBM techsupport

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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.

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We have a strong user base (3500 users) that are highly utilizing this tool. Basic users are able to consume content within the applied security model. We have a set of advanced users that really push the limits of Cognos with Report and Query Studio. These users have created a lot of personal content and stored it in 'My Reports'. Users enjoy this flexibility.

Reports can typically be viewed through any browser that can access the server, so the availability is ultimately up to what the company utilizing it is comfortable with allowing, though report development tends to be more picky about browsers and settings as mentioned above. It also has an optional iPad app and general mobile browsing support, but dashboards lack the mobile compatibility. What keeps it from getting a higher score is the desktop tools that are vital to the development process. The compatibility with only Windows when the server has a wide range of compatibility can be a real sore point for a company that outfits its employees exclusively with Mac or Linux machines. Of course, if they are planning on outsourcing the development anyways, it's a rather moot point

Overall no major complaints but it doesn't handle DMR (Dimensionally Modeled for Relational) very well. DMR modelling is a capability that IBM Cognos Framework Manager provides allowing you to specify dimensional information for relational metadata and allows for OLAP-style queries. However, the capability is not very efficient and, for example, if I'm using only 2 columns on a 20-column model, the software is not smart enough to exclude 18 columns and the query side gets progressively larger and larger until it's effectively unusable.

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.

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Why is their web application not working as fast as you think it should? They never know, and it is always a a bunch of shots in the dark to find out. Trying to download software from them is like trying to find a book at the library before computers were invented.

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Onsite training provided by IBM Cognos was effective and as expected. They did not perform training with our data which was a bit difficult for our end-users.

The online courses they offer are thorough and presented in such a way that someone who isn't already familiar with the general design methodologies used in this field will be capable of making a good design. The training environments are provided as a fully self contained virtual machine with everything needed already to create the environments. We've had some persisting issues with the environments becoming unavailable, but support has been responsive when these issues arise and straightening them out for us

Make sure that any custom tables that you have, are built into your metadata packages. You can still access them via SQL queries in Cognos, but it is much easier to have them as a part of the available metadata packages.

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

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Power BI is stronger for quick ad-hoc analysis and dashboards, but IBM Cognos Analytics is better when consistency, precision, and mass distribution matter. Tableau is best for interactive analysis, while IBM Cognos Analytics is better for standardized, repeatable enterprise reporting. Sigma shines for customizable dashboards and drill-down analysis while IBM Cognos Analytics holds an edge in data discovery and visualization.

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

We rate IBM Cognos Analytics a 9 out of 10 for overall scalability. The platform handles large numbers of users, reports, and analytical workloads very reliably. We have experienced strong performance even in demanding enterprise environments with substantial data volumes. Its architecture provides sufficient flexibility to scale resources according to demand, making it well suited for large, business-critical deployments.

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

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• The platform can be pretty pricey.
• Convoluted contracts and they fine you for any breach during audits.
• Things are changed between releases without any warning and break.
• It is second to none at being able to customize list and crosstab type reports.
• You can easily set up a report to be emailed out every day and even have it export the report to a shared folder.
• On-prem environments can be scaled up pretty much as much as you would like.

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