I am using the solution for spend analytics and contract analytics. I'm specifically using it to understand if there's any contract leakage. In spend analytics, I'm using it specifically for category management. I design category strategies using multiple dimensions from the spend analysis. We also use it for improvements in supplier relationship management, such as on-time payment.
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A scalable data analytics and digital transformation tool that provides useful features and integrations
What is our primary use case?
What is most valuable?
The data sits in silos. DataStage allows me to connect to different data sources. It also allows me to do ETL or ELT. It has a good integration with data warehouses.
What needs improvement?
The product must improve its performance. We see typical cloud-related issues in the solution. IBM can still focus more on keeping the performance up and keeping it 100% available all the time.
For how long have I used the solution?
I have been using the solution for more than a year.
What do I think about the stability of the solution?
I rate the stability a seven out of ten.
What do I think about the scalability of the solution?
The tool is scalable. I rate the scalability an eight out of ten. More than 500 people are using the solution in our organization.
How are customer service and support?
The first line of support is strong enough. I do not have to put in additional effort.
What's my experience with pricing, setup cost, and licensing?
The solution is expensive. It must improve its costs.
What other advice do I have?
I was not fully part of the core team or implementation. The solution is suitable for data analytics and digital transformation. People considering the solution must decide their use case before exploring the tool’s functionalities or components. Typically, people use an IT-heavy approach, adopting functionalities first and then looking for use cases. I would advise them to do the exact opposite.
Whatever we do should be in line with the business purpose and the business vision. We must be mindful of the business model and the organization's maturity to consume the insights. These technologies are targeted towards delivering the right decision-making aids. We should not make it an IT agenda.
Overall, I rate the product a nine out of ten.
Offers powerful data preparation capabilities for creating and providing reliable data for accurate predictions
What is our primary use case?
The last project I worked on was for the World Bank. I was tasked with designing the architecture for an e-commerce system aimed at rural people in Mexico, enabling them to sell products. I handled all the requirements and design aspects. The main focus of the project was the implementation of artificial intelligence and effective data management. I proposed IBM Cloud Pak for Data and an update to the cloud platform.
Unfortunately, the project was not successful in terms of booking the final customer, as the required products were quite expensive. However, I designed the entire structure and architecture. That was one of my most recent projects. Another ongoing project with Cloud Pak is working on sales proposals for various customers in Mexico. The adoption of Cloud Pak for Data in Mexico is relatively slow compared to Data Station and Information Server, which is faster.
The main focus is on projecting sales and managing product renewals in the stores. That's more or less what I'm currently involved with regarding Cloud Pak for Data.
What is most valuable?
Its data preparation capabilities are highly valuable. You need to ensure that the data is properly created and provided in the most reliable format, especially for accurate predictions.
For instance, IBM offers numerous artificial intelligence algorithms that require the data to be in the correct form and with precise information. We need to ingest all the data into the artificial intelligence models. I believe this is one of the primary objectives of IBM Cloud Pak for Data.
What needs improvement?
There are several specific connectors that we need to use, such as the one for SAP or XML. These connectors are not fully integrated into Cloud Pak for Data. However, they are very useful in database and information services for many of the projects I've worked on.
Right now, the product is trying to be more maturity in terms of connectors. That, I believe, is an area where Cloud Pak can improve. Obviously, they are constantly working on refining the product. We are currently on version 4.5, and I have good relationships with some people at IBM.
They are actively striving to iterate and release new versions of the product. They are also focusing on improving Information Server and Rapid Stage 5.
In future releases, it would be beneficial to have more advanced data curation features. Specifically, I'm referring to data analysis and the quality dimensions associated with it. In my experience, this aspect is not as mature in Cloud Pak for Data compared to Information Server or database information analyzer, as they have been working more extensively on these areas.
They have been more focused on developing and enhancing those specific aspects. However, based on my research and discussions with my peers at IBM, I believe these features will be included in Cloud Pak in the near future.
For how long have I used the solution?
I have been using IBM Cloud Pak for Data for three years. The last version I worked with was 4.5.
What do I think about the stability of the solution?
I would rate the stability an eight out of ten. The solution have lot of issues right now.
What do I think about the scalability of the solution?
I would rate the scalability of this solution a nine out of ten.
How are customer service and support?
The customer service and support are good. It is one of the main part of the solution.
How would you rate customer service and support?
Positive
How was the initial setup?
It depends because the IT infrastructure for Cloud Pak for Data is in the cloud. The implementation process is different from traditional system deployments. So, I would say it depends.
I come from many years of working with Data Station and Information Server, which follow a classic implementation approach. However, implementing Cloud Pak is somewhat different. The vision or the concept behind it needs to be approached differently.
What's my experience with pricing, setup cost, and licensing?
It's quite expensive. Small companies cannot afford such a product. It's mainly targeted towards larger companies.
The pricing is very high.
What other advice do I have?
You need to have sufficient funds and experienced personnel because it is a highly technical solution. It's not something that can be easily implemented without proper knowledge and expertise.
For management, I would suggest taking smaller steps and gradually adapting the product within the company. Starting with smaller projects rather than diving into a major implementation.
The solution has a lot of potential, so I would rate it a nine out of ten.
Cloud Native solution to effectively put your data to work
What do you like best about the product?
Data visualization is one of the strong point. Solution is quite interactive and developers can start working with minimum training
What do you dislike about the product?
Large data set handling needs improvement. Integration with Desktop applications is complex and time consuming
What problems is the product solving and how is that benefiting you?
We generate lot of client data on daily basis so this solution provides quick and effective way of integrating various sources for data analysis and visualization
Good Product to use
What do you like best about the product?
The best feature would have to be the Watson Studio. Its a great tool to create more groups and to write code. It is very helpful for machine learning and data science use cases.
What do you dislike about the product?
The most difficult issue faced is the native features being decommissioned. When many changes are made like this it requires the team to come up with alternative ways to do things.
What problems is the product solving and how is that benefiting you?
Helps solve the problem of developing models by using graphical approaches where you can connect to multiple sources.
Wonderful for managing and deploying applications on the IBM Cloud platform.
What do you like best about the product?
The IBM Cloud Pack software is known for its flexibility and scalability, allowing users to easily manage and deploy applications on the IBM Cloud platform. Additionally, it offers a wide range of tools and services that can help businesses and organizations optimize their operations and improve their performance.
What do you dislike about the product?
Some users have reported that the IBM Cloud Pack software can be complex and difficult to navigate, particularly for those who are not familiar with the IBM Cloud platform. Additionally, the software may not be well-suited for small businesses or individuals with limited technical expertise. Some users also find the pricing and subscription model to be somewhat inflexible. Overall, it may not be the best fit for every organization or user.
What problems is the product solving and how is that benefiting you?
The IBM Cloud Pack software offers several benefits for businesses and organizations that use it, including:
Flexibility: The software allows users to easily manage and deploy applications on the IBM Cloud platform, which can help businesses and organizations to quickly and easily adapt to changing business needs and demands.
Scalability: IBM Cloud Pack enables businesses to scale their applications and infrastructure as their needs grow, providing the ability to handle increasing traffic and usage.
Wide range of tools and services: IBM Cloud Pack offers a wide range of tools and services, such as analytics, security, and artificial intelligence, that can help businesses and organizations to optimize their operations and improve their performance.
Integration: IBM Cloud Pack integrates with other IBM software and services, such as IBM Watson, to provide a cohesive and robust platform for businesses.
Global Support: IBM is a global company, which means businesses can rely on IBM Cloud Pack support to be available in most regions and countries.
Flexibility: The software allows users to easily manage and deploy applications on the IBM Cloud platform, which can help businesses and organizations to quickly and easily adapt to changing business needs and demands.
Scalability: IBM Cloud Pack enables businesses to scale their applications and infrastructure as their needs grow, providing the ability to handle increasing traffic and usage.
Wide range of tools and services: IBM Cloud Pack offers a wide range of tools and services, such as analytics, security, and artificial intelligence, that can help businesses and organizations to optimize their operations and improve their performance.
Integration: IBM Cloud Pack integrates with other IBM software and services, such as IBM Watson, to provide a cohesive and robust platform for businesses.
Global Support: IBM is a global company, which means businesses can rely on IBM Cloud Pack support to be available in most regions and countries.
Secure organiser for AWS cloud
What do you like best about the product?
It is quite easy to use as it comes with a dashboard that can be customized with any of the underlying cloud services.
What do you dislike about the product?
Like any other IBM offering the enterprise version is quite costly.
What problems is the product solving and how is that benefiting you?
I am using it to manage my various amount of sources datasets
Not just handling of Data, its more than that!!
What do you like best about the product?
It provides multiple components and integrations to handle data, provides key insights around it. This AI platform makes all data available for analytics on any cloud.
What do you dislike about the product?
UI is not so user friendly and not well documented.
What problems is the product solving and how is that benefiting you?
AI powered Data Analytics improves the operational efficiency. Decision making has become easier because it provides great insights around the data.
IBM's Cloud Pak for Data is among the best data and AI platforms on the market.
What do you like best about the product?
- What is most helpful about IBM Cloud Pak for Data?
The platform's UI is very simple, intuitive and customizable making the overall user experience quite exceptional.
- What are the upsides of using IBM Cloud Pak for Data?
If you are a Chief Data Officer or a leader of Data and AI initiatives, then this platform is for you because it is built on the integration of several services designed to run wherever OpenShift is in place.
If your objective is to achieve Data Fabric while ensuring data privacy and compliance with regulations, then services such as Data Virtualization, Data Integration and Watson Knowledge Catalog are key to reaching such a goal.
The platform's UI is very simple, intuitive and customizable making the overall user experience quite exceptional.
- What are the upsides of using IBM Cloud Pak for Data?
If you are a Chief Data Officer or a leader of Data and AI initiatives, then this platform is for you because it is built on the integration of several services designed to run wherever OpenShift is in place.
If your objective is to achieve Data Fabric while ensuring data privacy and compliance with regulations, then services such as Data Virtualization, Data Integration and Watson Knowledge Catalog are key to reaching such a goal.
What do you dislike about the product?
One of the big issues with the current release of Cloud Pak for Data (4.5.x) is the lack of connectors allowing business users and data citizens to connect to MANTA and leverage Business Data Lineage features. However, the product management of Cloud Pak for Data and Connectivity teams are working on delivering more connectors to allow for more integration with MANTA.
What problems is the product solving and how is that benefiting you?
IBM Cloud Pak for Data is a multifaceted solution that deals with many business challenges around data and AI. These use cases include, but are not limited to:
- Achieving Data Fabric thanks to Data Virtualization, Data Integration and Data Access services.
- Data Governance and Data Privacy thanks to Watson Knowledge Catalog, IBM Guardium and Truata Anonymization.
- Operationalizing and Infusing AI with services for no code (AutoAI), low code (SPSS Modeler, Decision Optimization) or pure coding using Notebooks with languages such as Python, Scala and Java.
- Delivering exceptional customer care through conversational AI with Watson Assistant, Watson Discovery, Watson Tone Analyzer, Watson Text-To-Speech and Speech-To-Text and many other services from the catalog.
- Achieving Data Fabric thanks to Data Virtualization, Data Integration and Data Access services.
- Data Governance and Data Privacy thanks to Watson Knowledge Catalog, IBM Guardium and Truata Anonymization.
- Operationalizing and Infusing AI with services for no code (AutoAI), low code (SPSS Modeler, Decision Optimization) or pure coding using Notebooks with languages such as Python, Scala and Java.
- Delivering exceptional customer care through conversational AI with Watson Assistant, Watson Discovery, Watson Tone Analyzer, Watson Text-To-Speech and Speech-To-Text and many other services from the catalog.
Secure way to cloud solution
What do you like best about the product?
It is high performance computing solution which used for common platform across the cloud.
What do you dislike about the product?
It doesn't allow to start with small infrastructure which is drawback of it.
What problems is the product solving and how is that benefiting you?
It helps us to providd on-prem cloud solution to our . It help to utilize the resources well.
Competing solution in AI powered cloud native solution
What do you like best about the product?
Scalability, Quick deployment, solution integration with public cloud.
What do you dislike about the product?
Local backup solution like snapshots for DB.
What problems is the product solving and how is that benefiting you?
Various customer have their operation running in a hybrid model and heterogeneous work models like my medical client are able to manage lesser work intensive but require AI-powered compute to IBM's solution
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