Loading product reviews...
3.8 out of 5.0 (4 ratings)

Reviews Distribution

5 Stars
4 Stars
3 Stars
2 Stars
1 Star
We don't have any qualitative reviews for this vendor yet


View other vendors in this market
We have aggregated ratings data on IBM but all of our reviewers have opted out of sharing their qualitative review feedback. In certain cases we allow reviewers to withhold their qualitative review feedback from public view, in order to protect their confidentiality.
  • 4 out of 5.0, Reviewed

    Product(s): IBM SPSS Modeler

    Powerful, easy to use and offers multiple implementation options.

    Overall Comment

    There were some unexplained error messages generated that were not resolved efficiently.

    What one piece of advice would you give other prospective customers?

    Have a good vision of your end state.

    What do you like most about the product or service?

    very easy to use and understand.

    What do you dislike most about the product?

    documentation and help facility.

    What one thing do you wish the vendor did differently?

    better documentation and help facility.

    If you could start over, what would your organization do differently?

    Nothing.

    Integration & Deployment - Overall comment

    product was deployed as stand-alone application; not integrated

    1 of 1 peer(s) found this review helpful.


  • 5 out of 5.0, Reviewed

    Product(s): IBM SPSS,IBM SPSS Statistics

    SPSS is an easy to use tool providing for advanced statistical analysis.

    Overall Comment

    SPSS is a well accepted product liked by analysts who are averse to using SAS.

    What one piece of advice would you give other prospective customers?

    SPSS does not secure/protect the integrity of datasets as SAS does. That is a key design flaw.

    What do you like most about the product or service?

    Easy to use, easy data management.

    What do you dislike most about the product?

    Does not have some of the advanced statistical analysis methodologies (GEE) compared to SAS.

    What one thing do you wish the vendor did differently?

    No recommendations

    If you could start over, what would your organization do differently?

    We have several PC based licenses. I would coordinate all users to develop a community of users.


  • 2 out of 5.0, Reviewed

    Product(s): IBM SPSS Modeler,IBM SPSS Statistics,Other...

    Hype more than bite: IBM is acquiring analytics capabilities faster than they can swallow them.

    Overall Comment

    Good algorithmically, but not ready for prime time. Not priced effectively for the application.

    What one piece of advice would you give other prospective customers?

    Pay attention to deployment costs. Do not only pilot or "let's try this little project together to test outcomes". When we got to deployment, we found it was unaffordable.

    What do you like most about the product or service?

    Bleeding edge technology.

    What do you dislike most about the product?

    Not ready for prime time, more hype than reality.

    What one thing do you wish the vendor did differently?

    IBM is very disjoint in their analytics offerings. Too many acquisitions have not yet integrated or the integration roadmap has not been vetted. One IBM business area competes with another. Sales teams only know their stove pipes. Very frustrating to navigate the maze of IBM analytics offerings. They are more hype than deploy ready.

    If you could start over, what would your organization do differently?

    Do a broader market survey. In this case it was personal relationships at the executive levels that pushed us to work together.


Ratings Overview

1 2 3 4 5
Section
1

Evaluation & Contracting

Overall rating of product evaluation and contract negotiation

(3)
4.0

Ability to understand your organization's needs

(2)
4.5

Timely and complete response to product questions

(3)
4.3

Pricing and contract flexibility (pricing and terms)

(3)
3.0
1 2 3 4 5
Section
1

Integration & Deployment

Overall rating of integration and deployment

(3)
3.7

How long did your deployment take?

0 - 3 months (<3)

6 - 9 months (<9)


Availability of quality 3rd-party resources (integrators, service providers, etc.)

(2)
3.0

Ease of integration using standard APIs and tools

(2)
3.0

Quality and availability of end-user training

(4)
3.8

Ease of deployment

(4)
4.3
1 2 3 4 5
Section
1

Service & Support

Overall rating of service and support

(4)
3.8

Did you purchase a support package from vendor?

Yes

No


Timeliness of vendor's response

(3)
4.3

Quality of technical support

(3)
4.3

Quality of peer user community

(2)
3.5
1 2 3 4 5
Section
1

Product Capabilities

Overall rating of product capabilities

(4)
4.5

Data Access and Manipulation

(3)
4.7

Data Exploration and Visualization

(3)
4.0

Predictive Analytics

(4)
4.5

Forecasting

(2)
4.5

Optimization

(2)
4.0

Simulation

(1)
4.0

Delivery, Integration & Deployment

(3)
4.3

Platform and Project Management

(2)
4.5

Performance and Scalability

(3)
4.3

User Experience

(4)
4.8
1 2 3 4 5
Section
1

Additional Context

What was the nature of your involvement?

Executive Sponsor

Analytics User

Rollout and Install


Why did you purchase an Advanced Analytics Platforms Solution?

Product Development/R&D

Customers

Process or Operational Efficiency

Other...


What other vendors were considered? Multiple responses allowed.

SAS

Microsoft

RapidMiner

SAP

Other...


What were the key factors that drove your decision?

Alignment with existing data infrastructure investments

Vendor viability

Ability to maintain and manage large number of models

Alignment with existing enterprise application investments

Support for Open Source capabilities

Other...


In which region(s) did your deployment take place? Multiple responses allowed.

North America