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I'm a system integrator implementing the product for other companies. Typical use cases involve improving interactions with customers in service environments. This could be either a call center setup or using field service agents to service products on-site.

It is straightforward to integrate Service Cloud with third-party tools or other systems.

In most cases, we use MuleSoft as the integration technology when a direct API  integration is needed.

I'm seeing more investment in real-time intelligence. This utilizes data, AI technologies like bots, and solutions like Customer 360 to interpret data in real time. This helps agents resolve customer interactions faster rather than having to navigate through multiple applications.

There are a few areas of improvement. 

1. One area for improvement could be in the speed and accuracy of analytics, particularly around resolving cases. There's room to enhance SLA (Service Level Agreement) management as well. 
2. Secondly, the Knowledge Management platform could use some intelligence improvements. Data mining techniques for recommending the most relevant knowledge articles would be beneficial. Currently, that selection process is more administrative. AI could be used here.
3.  Finally, within Field Service, it would be great to see better asset and inventory management capabilities built directly into the application.

I have been using it for seven to eight years. 

It is a stable product. It has been in the market for quite some time, so it is a stable product. 

I would rate the scalability a nine out of ten. It is pretty easy to scale. 

It is suitable for medium and enterprise-level businesses. 

The customer service and support are pretty responsive. The processes are quite established. So, I didn't face any challenges with the support. 

There is ServiceNow. People think it is cheaper. But it is suitable for small organizations. 

Large organizations prefer Salesforce. 

The initial setup is very easy. 

I would rate the pricing a five out of ten. The licensing is flexible. Companies pay for what they use. 

However, a company with very small needs might find it difficult to justify the cost. Overall, it's in the medium price range.

Overall, I would rate the solution an eight out of ten. I would recommend it to other users. 

We use the Splunk Enterprise Platform for logging and monitoring purposes. If users log into different databases and do something, we onboard database logs and other AWS logs to Splunk. Then, we create a dashboard alert report, and based on those dashboard alerts, we monitor users' actions. If they perform suspicious activities, we also send alerts. We use the solution to create dashboard alerts, reports, and some query language.

The most valuable features of the solution are the load balancing technique, the forwarding technique, and SSL certification.

Sometimes, queries don't give proper results, and the indexes go down.

I have been using Splunk Enterprise Platform for seven years.

I rate the solution an eight out of ten for stability.

I rate the solution’s scalability a nine out of ten.

The solution’s technical support is good.

The solution’s initial setup is easy.

I have heard from my managers that Splunk Enterprise Platform is an expensive solution.

The solution has helped us with our security information and event management. If someone performs deletion operations, we get an automated alert informing us that a privileged activity has been performed. We forward the logs in real-time. We are ingesting 10GB of data into the solution daily. We have some input filters in the solution's dashboard.

Overall, I rate the solution an eight out of ten.