TrustRadius: an HG Insights company

Save this comparison

Save this comparison

Add Product

Recommended Comparisons

    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    IBM Cognos Analytics

    Score7.7 out of 10
    N/AIBM Cognos is a full-featured business intelligence suite by IBM, designed for larger deployments. It comprises Query Studio, Reporting Studio, Analysis Studio and Event Studio, and Cognos Administration along with tools for Microsoft Office integration, full-text search, and dashboards.

    $11.25

    per month per user

    Treasure AI

    Score9 out of 10
    Mid-Size Companies (51-1,000 employees)
    Treasure AI is an enterprise customer data platform (CDP) that reclaims customer-centricity in the age of the digital customer. It does this by connecting all data and uniting teams and systems into one customer data platform to power purposeful engagements.N/A
    Pricing
    IBM Cognos AnalyticsTreasure AI
    Editions & Modules
    On Demand - Standard
    USD 11.25
    per month per user
    On Demand - Premium
    USD 44.90
    per month per user
    No answers on this topic
    Offerings
    Pricing Offerings
    IBM Cognos AnalyticsTreasure AI
    Free Trial
    YesNo
    Free/Freemium Version
    NoNo
    Premium Consulting/Integration Services
    YesNo
    Entry-level Setup FeeOptionalOptional
    Additional Details——
    More Pricing Information
    Community Pulse
    IBM Cognos AnalyticsTreasure AI
    Considered Both Products
    IBM
    No answer on this topic
    Treasure AI
    No answer on this topic
    Key User Insights
    Would buy again
    97%
    Would buy again
    92 Answers
    100%
    Would buy again
    10 Answers
    Delivers good value for the price
    94%
    Delivers good value for the price
    79 Answers
    100%
    Delivers good value for the price
    9 Answers
    Happy with the feature set
    96%
    Happy with the feature set
    91 Answers
    100%
    Happy with the feature set
    10 Answers
    Lived up to sales and marketing promises
    93%
    Lived up to sales and marketing promises
    55 Answers
    100%
    Lived up to sales and marketing promises
    8 Answers
    Implementation went as expected
    96%
    Implementation went as expected
    64 Answers
    100%
    Implementation went as expected
    9 Answers
    Features
    IBM Cognos AnalyticsTreasure AI
    BI Standard Reporting
    Comparison of BI Standard Reporting features of IBM Cognos Analytics and Treasure AI
    Feature
    IBM Cognos Analytics
    7.7
    138 Ratings
    6% below category average
    Treasure AI
    -
    Ratings
    Pixel Perfect reports7.6129 Ratings00 Ratings
    Customizable dashboards8.0136 Ratings00 Ratings
    Report Formatting Templates7.5131 Ratings00 Ratings
    Ad-hoc Reporting
    Comparison of Ad-hoc Reporting features of IBM Cognos Analytics and Treasure AI
    Feature
    IBM Cognos Analytics
    7.9
    138 Ratings
    1% below category average
    Treasure AI
    -
    Ratings
    Drill-down analysis7.4136 Ratings00 Ratings
    Formatting capabilities8.3139 Ratings00 Ratings
    Integration with R or other statistical packages7.397 Ratings00 Ratings
    Report sharing and collaboration8.6133 Ratings00 Ratings
    Report Output and Scheduling
    Comparison of Report Output and Scheduling features of IBM Cognos Analytics and Treasure AI
    Feature
    IBM Cognos Analytics
    9.2
    136 Ratings
    11% above category average
    Treasure AI
    -
    Ratings
    Publish to Web9.836 Ratings00 Ratings
    Publish to PDF8.2132 Ratings00 Ratings
    Report Versioning9.833 Ratings00 Ratings
    Report Delivery Scheduling8.2134 Ratings00 Ratings
    Delivery to Remote Servers9.918 Ratings00 Ratings
    Data Discovery and Visualization
    Comparison of Data Discovery and Visualization features of IBM Cognos Analytics and Treasure AI
    Feature
    IBM Cognos Analytics
    7.4
    124 Ratings
    8% below category average
    Treasure AI
    -
    Ratings
    Pre-built visualization formats (heatmaps, scatter plots etc.)7.9121 Ratings00 Ratings
    Location Analytics / Geographic Visualization8.0114 Ratings00 Ratings
    Predictive Analytics6.7110 Ratings00 Ratings
    Pattern Recognition and Data Mining6.947 Ratings00 Ratings
    Access Control and Security
    Comparison of Access Control and Security features of IBM Cognos Analytics and Treasure AI
    Feature
    IBM Cognos Analytics
    7.8
    130 Ratings
    8% below category average
    Treasure AI
    -
    Ratings
    Multi-User Support (named login)7.5129 Ratings00 Ratings
    Role-Based Security Model7.5127 Ratings00 Ratings
    Multiple Access Permission Levels (Create, Read, Delete)7.4127 Ratings00 Ratings
    Report-Level Access Control8.257 Ratings00 Ratings
    Single Sign-On (SSO)8.6111 Ratings00 Ratings
    Mobile Capabilities
    Comparison of Mobile Capabilities features of IBM Cognos Analytics and Treasure AI
    Feature
    IBM Cognos Analytics
    6.3
    109 Ratings
    20% below category average
    Treasure AI
    -
    Ratings
    Responsive Design for Web Access6.8104 Ratings00 Ratings
    Mobile Application6.390 Ratings00 Ratings
    Dashboard / Report / Visualization Interactivity on Mobile6.696 Ratings00 Ratings
    Application Program Interfaces (APIs) / Embedding
    Comparison of Application Program Interfaces (APIs) / Embedding features of IBM Cognos Analytics and Treasure AI
    Feature
    IBM Cognos Analytics
    9.2
    87 Ratings
    17% above category average
    Treasure AI
    -
    Ratings
    REST API7.683 Ratings00 Ratings
    Javascript API7.779 Ratings00 Ratings
    iFrames9.912 Ratings00 Ratings
    Java API10.013 Ratings00 Ratings
    Themeable User Interface (UI)9.915 Ratings00 Ratings
    Customizable Platform (Open Source)9.99 Ratings00 Ratings
    Best Alternatives
    IBM Cognos AnalyticsTreasure AI
    Small Businesses
    Cyfe
    Score4 out of 10
    Twilio Segment
    Score8.4 out of 10
    Medium-sized Companies
    Qlik Cloud Analytics (Qlik Sense)
    Score8.1 out of 10
    Adobe Real-Time CDP
    Score8.3 out of 10
    Enterprises
    Jaspersoft Community Edition
    Score7 out of 10
    Tealium Customer Data Hub
    Score8.7 out of 10
    All AlternativesView all alternativesView all alternatives
    User Ratings
    IBM Cognos AnalyticsTreasure AI
    Likelihood to Recommend
    8.0
    (158 ratings)
    9.0
    (89 ratings)
    Likelihood to Renew
    8.4
    (31 ratings)
    9.1
    (5 ratings)
    Usability
    7.3
    (10 ratings)
    8.0
    (4 ratings)
    Availability
    8.6
    (4 ratings)
    9.1
    (1 ratings)
    Performance
    9.0
    (5 ratings)
    8.2
    (1 ratings)
    Support Rating
    1.0
    (9 ratings)
    8.2
    (7 ratings)
    In-Person Training
    8.7
    (4 ratings)
    6.4
    (1 ratings)
    Online Training
    8.0
    (4 ratings)
    7.3
    (1 ratings)
    Implementation Rating
    7.0
    (7 ratings)
    6.4
    (2 ratings)
    Configurability
    7.0
    (3 ratings)
    7.3
    (1 ratings)
    Data Sharing and Collaboration
    8.6
    (40 ratings)
    -
    (0 ratings)
    Data Sources
    8.3
    (40 ratings)
    -
    (0 ratings)
    Ease of integration
    5.5
    (6 ratings)
    9.1
    (1 ratings)
    Product Scalability
    6.4
    (5 ratings)
    9.1
    (1 ratings)
    Vendor post-sale
    7.0
    (1 ratings)
    7.3
    (2 ratings)
    Vendor pre-sale
    7.0
    (1 ratings)
    7.4
    (2 ratings)
    User Testimonials
    IBM Cognos AnalyticsTreasure AI
    Likelihood to Recommend
    IBM
    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).
    Incentivized
    Read full review
    Treasure AI
    Treasure Data is well suited to integrating multiple data sources, including online and digital sources. It is also well suited to trigger audience activations to known customers based on their online activity, integrating 3rd party data, and activating target audiences to ad platforms.
    Incentivized
    Read full review
    Pros
    IBM
    • 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.
    Incentivized
    Read full review
    Treasure AI
    • CDP provides a unified view of data from all touchpoints in the customer journey until a single customer uses the service. This feature is very helpful in making service decisions and direction.
    • It provides a variety of extensions to bring your data together in one place and helps you do this easily.
    • Kits provided by Treasure Box provide basic but helpful methods for further development of services.
    Incentivized
    Read full review
    Cons
    IBM
    • 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.
    Incentivized
    Read full review
    Treasure AI
    • Documentation is not always fully update --> better off reaching to support for some topics that are not covered
    • Small bugs on the graphical user interface
    • If 2 people are editing on the same project simultaneously, the latter that saves the workflow overwrites the changes of the former one
    Incentivized
    Read full review
    Likelihood to Renew
    IBM
    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.
    Read full review
    Treasure AI
    I do think that we definitely will be renewing. We are putting major resources, time, and effort into Treasure Data becoming an extension of our organization, in many ways. We are working toward complete synergies with this product and leadership is very excited about the direction we are heading to be completely customer-centric.
    Incentivized
    Read full review
    Usability
    IBM
    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.
    Read full review
    Treasure AI
    It's a easy platform to use and give the user detailed logs about what is going on in the workflows, so someone that do not have a lot of experience can start to work with it. And also the master segment usability is awesome, as we can filter a lot of data the way we want.
    Incentivized
    Read full review
    Reliability and Availability
    IBM
    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
    Read full review
    Treasure AI
    As treasure data has a 24 hours support, every time we has big issues that impacts the zones, we do have immediatly support from the treasure data team, so I would say that we do not have any issues with availability
    Incentivized
    Read full review
    Performance
    IBM
    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.
    Read full review
    Treasure AI
    Since treasure data has started having a huge amount of data, sometimes we do have problems with the workflows logs because we generate a lot of then. But with integrations I have not to complain, its really easy to integrate with other platforms.
    Incentivized
    Read full review
    Support Rating
    IBM
    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.
    Incentivized
    Read full review
    Treasure AI
    The technical team has a good hold on the nuances of the data related to our organization. I have found the online technical support on their site quite responsive including the L1 support. In cases where the L1 team isn't able to resolve, I have found they are prompt in getting the product team's input to get a quick resolution.
    Incentivized
    Read full review
    In-Person Training
    IBM
    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.
    Read full review
    Treasure AI
    I was not here when treasure data was implemented to our company.
    Incentivized
    Read full review
    Online Training
    IBM
    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
    Read full review
    Treasure AI
    I wasnt here at the training in the start, but I had a few training with treasure data for a few functionalities, and they provided me god explanations and great documentations, eve if the project were in beta.
    Incentivized
    Read full review
    Implementation Rating
    IBM
    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.
    Read full review
    Treasure AI
    Implementation was quick and our developers had very few issues with the SDK.
    Incentivized
    Read full review
    Alternatives Considered
    IBM
    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.
    Incentivized
    Read full review
    Treasure AI
    We chose Treasure Data for the supreme customer service and lack of hidden costs. We don't need to manage any infrastructure or scale anything to meet customer demand. Treasure Data handles everything and makes it easy for us to integrate and focus on the tasks at hand. There may be cheaper options but we do not regret our decision to go with Treasure Data one bit.
    Incentivized
    Read full review
    Scalability
    IBM
    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.
    Incentivized
    Read full review
    Treasure AI
    In abi we do have a lot of data coming every day, so treasure data always give us god solutions and options that would fix the problem.
    Incentivized
    Read full review
    Return on Investment
    IBM
    • 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.
    Incentivized
    Read full review
    Treasure AI
    • We have built and supported our source of truth data tables using Treasure. This forms the foundation of our decision making.
    • Most of our Tableau data sources are created using a Treasure Data export which is executed by workflows on a daily basis which allows us to have visibility into day to day performance and communicate them to a wide variety of roles.
    • We load custom data into our Salesforce instance which allows us to trigger certain workflows and build accountability - i.e. a "Sale" will only count once a certain product driven event occurs which comes from data we pipe into Treasure and then into Salesforce.
    Incentivized
    Read full review
    ScreenShots

    IBM Cognos Analytics Screenshots

    Product screenshotProduct screenshotProduct screenshotProduct screenshotProduct screenshotProduct screenshot

    Treasure AI Screenshots

    Screenshot of some of the out of the box integrations across advertising, CRM, databases, eCommerce, machine learning and more.Screenshot of the query toolsScreenshot of the audience builder