IBM Event Automation Reviews & Insights

Critical within our sales process and tracking ROI for marketing advertisement campaigns. We use it to ensure our data is accurate and that the right employees can access the correct level of data to effectively do their job.

If you need to connect data across multiple sources say google analytics, sales force or trigger sales funnel events this is a great tool

It helps us pull reports across the finance and procurement organization. This way we are able to quickly access information without waiting on another person to provide.

I am very likely to recommend IBM. The program is very well suited for our line of work. We use it to help pull data in support of finance and procurement functionalities.

IBM Event Stream solved our real-time data streaming issues. Previously, there was a lot of lag in both the website and mobile app while fetching from backend, now that lag is removed and we have happy customers.

My organization is based on ethics and integrity, with management guided by our values and a rigorous system of corporate governance in how we conduct business and manage risk.IBM Event Streams help our organization using Apache ecosystem products and being an open source we can customize the platform as per the need of the customer and as and when the requirement changes. payment processing, fraud detection, anomaly detection, predictive maintenance, and IoT analytics all rely on immediate action on data. All of these use cases deal with data points in a continuous stream, each associated with a specific point in time.

Reporting and Monitoring of traffic and events and better user experience.IBM Event Streams Event-driven architectures and event streams can work in conjunction to give your business a better ability to react to events in real time. need expertise resources to use this efficiently. In using downstream, the minimal features and the rate of releases were slow, which makes us feel that there are no upgrades, and other than that there's poor marketing of the product. I hope it reaches more customers.

We used IBM Event stream as a part of data analysis pipeline. We would ingest data into Event stream and then fan out to different processors. Our team really loved the product as some of us were already familiar with Kafka and it was very easy to setup. The interface is very intuitive.

We felt that it's best for asynchronous processing of data. Managing a Kafka server is hard and time consuming, IBM cloud's Event stream is well suited for teams who don't want to manage their own server and use a fully managed solution instead. We didn't face any issue with our use case though.

Use for marketing purposes to leverage varied synergistic datapoints to enable event and data driven and triggered campaigns

organizations with data assets waiting to be resources

We have started using IBM Event Streams to solve multiple problems in our organizations, in which most important is fraud analytics, so whenever a customer files instant claims too many times or have unusual activity we instantly send it for scrutiny, before approving the claims and procedures. We are also analyzing traffic and events on app and web to pitch the most suitable product to customer. Apart from this for APIs, we use it as messaging bus to handle peak demands during the day and ensure all payments are timely and successful.

It is well suited for event architecture, when things and decisions are real time and those decisions have some serious impact, so to provide better customer experience, we can use this as we found using it more reliable and less downtime than our previous self developed architecture. It is able to handle load well and queue requests when system is not working.

We use IBM Event Streams at Call Copy to build smart apps for events. We also engage event streams to act as a buffer for connecting our data sources to their data pools. We have also integrated Event streams with IBM Cloud Pak to improve how we scale in the cloud.

We have used IBM Event Streams to connect to critical systems in our company. We have also utilized it to provide wider event streams connectivity for our clients. IBM Event Streams is very suitable for sending events from native environments to appliances and critical workloads seamlessly. Events streams is impressive because deployment is not only limited to IBM cloud but can also work on Red Hat.

IBM event streams help us to give an in-depth analysis of our traffic in real time. With the help of the IBM event stream, we can directly track the clicks on elements, text, and containers as well as on DOM. It helps us to manage huge amount of traffic on a daily basis and give us the option to create segments.

IBM event streams are so powerful software that manages our huge amount of traffic, not only with the help of IBM event streams we can create useful insight with the data and create our campaign strategy.

IBM Event Streams allows my cloud-focused team within my hosting-focused web development company to move an Apache Kafka-based pub/sub pattern from one of our pre-existing applications into the IBM cloud. It is being used within a single application at this time as a proof of concept and that application is consumed mostly by our team. The business problem that it addresses is hosting for our pub sub-app in the IBM Cloud. We had business reasons for using the IBM cloud in this case.

If you are running an application that requires pub/sub capabilities like Apache Kafka and you want to run the pub /sub in the IBM cloud, then I think that this may be an appropriate technology choice for you. As there are comparable products in other cloud providers, it is worthwhile to consider the business externalities of your choice of cloud providers and choose the one that makes the most sense from that perspective.