IBM Cloud Pak for Data

Formerly IBM Cloud Private for Data

IBM Cloud Pak for Data enabled our organization to shrink the time it took to validate a product idea from months to days by removing the bottleneck within our analytics team to meet the surging demand for big data analysis across the company. We use it to audit our various data sources, allowing us to identify where we have data quality issues and gaps so we can quickly address them so as not to impact the user experience.

We advise many of our clients on the best ways to process ETL and Analytics, quickly, and efficiently. CP4D has been around for many years and we have implemented this for many organizations. It solves most bottlenecks clients have for processing in a very cost effective and reliable environment. Clients can also process jobs within seconds where it would previously take days. This offers a platform to organizations allowing them to change their business models. For example, a large financial institution in Canada would normally score their customers in 45 hours. With CP4D with Netezza, the same scoring job completes in 15 seconds. Now customers can be scored daily. This same story can be seen at hundreds of other clients we support. There is nothing else like it on the market at such a competitive price on premise or in the cloud.

This cloud-based tool is excellent for visualizing and managing all data across networks, also fulfilling fuzzy data storage, making it less complex and completely improving productivity in the organization; so everything will be managed in multiple environments without any problem. That's why since IBM Cloud Pak for Data has been implemented everything is better organized and managed across all departments with no hassle.

With my user experience IBM cloud Pak for Data it's simple and doesn't require any specialized training to use, or operate this top tool. Cloud Pak for Data fosters productivity within the first days of production by enabling users to find existing data easily. I really like the first-rate service for integrating data across multiple cloud simultaneously with automation in hand. Because of its adaptability and scalability this cloud-based solution for displaying and managing all data across network and data storage is excellent. This enables us to spend less time finding data and more using it effectively.

IBM Cloud Pak for Data has been around my organization for years now and it's been very exceptional offering top-notch services. I like how we've benefited through the automation and embedded AI, it helps data to be easily identified and thus boost our business data-driven decisions. IBM running on Kubernetes allows us to bring any kind of process or tool into the cluster with some work.
The IBM support is really unrelieved, proactive and very user-friendly.

The best thing with IBM Cloud Pak for Data is how the UI is very user-friendly and easy to navigate general even for the new users, it's also very simple, intuitive and highly customizable making users experience very phenomenal and exceptional. As an Engineer I rely on this tool more because of the truly advanced AI-powered data management capabilities which allows me to manage and keep tabs on data from a variety of different sources and different divisions all from a single interface. I also like how this tool secure and connect multiple cloud apps with robust APIs, which makes integration and operations transparent for a better and streamlined workflow. Overall IBM cutting-edge AI/ML technologies provides access to massive amounts of data and error-free processes while maintaining a simple intuitive that allows any of our employees no matter their experience to work with this tool easily and comfortably.

My primary use case with IBM cloud Pak for data is to organize all our data in a central repository which makes it very easy to analyze them later. One of the best things with IBM cloud Pak is that it connects various siloed data across cloud landscapes and makes it very easy for us to work on those data. Additionally, the overall computational errors have been reduced, and containerization has become very crucial.

We have deployed IBM Cloud Pak for Data in my organization to manage and govern data across diffuse data clouds and stores. In our department, we use it to process router data without transferring it to a central store house. We use it to integrate data across our multi-cloud environments. It helps us integrate AI in network environments specifically for network switches enabling end to end AI workflows for easy model deployments.