ADP DataCloud vs. IBM Planning Analytics

It is highly suited in managing all programs that takes place using data that is integrated into our company. It offers insights that helps our team members to solve challenges that arise to our workforce teams. It easily monitors all activities that takes place within an organization and ensures that there is effective management of time.

Incentivized

IBM Planning Analytics is good for small to medium-size jobs or less complex projects. It can generate reasonably comfident results if input datasets are well prepared and cleaned. IBM Planning Analytics is not quite good when it comes to large-scale datasets, or datasets from various sources (for example data dumped from different databases.

Incentivized

• Monitoring human resources available in our company.
• Checking employee attendance and time of reporting to duty.

Incentivized

• Handle very large data volumes.
• Scale to a large number of users.
• Not having to compromise on business complexity.
• It can be run by business users.
• Availability of highly qualified consultants to support businesses.
• REST API allows for an open eco system and a variety of solutions to extend the product.
• Vast integration possibilities.
• AI-infused engine with IBM Watson.

Incentivized

• Better and easier implementation of the system
• Initial set up can be cumbersome, afterwards easy to use
• Configuring various features is a bit difficult

Incentivized

• IBM Planning Analytics was an upgrade from an older version of TM1 that is experiencing some growing pains, some functionality is harder to reach than it has been in the past
• It is easy to learn as a surface user with created reports, but it does require some technical skills to make advanced calculations and reports if there is no reliable consultant available, much like Excel

Incentivized

Since IBM Cognos Express is suitable only for medium data warehouse environment, we are not sure if this tool solves the long term need as the business keeps growing rapidly. So its a 50/50 ratio to renew Express license. But having said that, the components of IBM Cognos Express are also available in other Cognos BI suites like Cognos 10.x version. So we will probably upgrade our environment to IBM Cognos 10.x which comes with more new features.

For developers, admins and end users looking for flexibility, IBM Planning Analytics would rate very highly on usability. For example, a developer has access to a highly performant built-in ETL (Extract Translate Load) tool and scripting language called Turbo Integrator that can (among other things) bring in data via flat file or direct connection from many data sources, move data around Planning Analytics, perform batch calculations, export to files or other data stores. In the rare situation where limitations are encountered there is a well documented REST API. Admins and end users benefit from the intuitive PAW (Workspace) interface as well as the rich Excel integration through Planning Analytics for Excel (PAfE). Since flexibility inherently comes with a little more complexity, so an organization with simple and "cookie-cutter" requirements may rate Planning Analytics a little lower.

Incentivized

Although I find the IBM Planning analytics documentation quite time consuming, their support with email and call is something i can term as very considerate and patient, I have had few calls about the features and how i would want to implement them within my projects, and the teams have been super helpful to resolve my issues

Incentivized

ADP DataCloud has been more powerful as compared to other data management platform system that I have worked with. It has great and well developed dashboards that gives clear information on how the workflow processes are taking place. It is equipped with automated data services that gives us insights on time and controls any volume of data that enters into our company.

Incentivized

Anaplan does not handle sparsity; this is very problematic for large volume data sets (many 0's). There also are limitations to the number of dimensions that can be used in a module. If more dimensions are required, then separate modules need to be built and intertwined. IBM PA does not have these limitations.

Incentivized

• It has highly achieved most of our objectives contributing to faster ROI.

Incentivized

• One of the advantage is on its ability to ease budget and planning
• Secondly,the fact that it allows for forecasting means based on such insights means that organisations are able to prepare for future eventualities
• Thirdly, since it can accommodate data from multiple sources means that one is able to carry out best business practices like planning.

Incentivized