Oracle Analytics Cloud Reviews

We used it to meet a client's requirements.

It's valuable feature is that it is user-friendly and doesn't require much time for understanding.

The learning curve should be improved, and I'm uncertain if tutorials are readily available or easily accessible. We may have resorted to looking on YouTube for such information. Having easily understandable documents or guides for new users would be beneficial. Quick references like these would encourage more users to explore and utilize the features effectively. AI integration would be an interesting feature to add in the next release.

We used this solution approximately a year ago.

The solution is stable.

The initial setup was straightforward. We have an IT team assisting the process. 

We have an expert IT team taking care of the implementation aspect.

My company's clients use Oracle Analytics Cloud for data warehousing purposes.

The most valuable features of the solution are dashboarding and data visualization.

Oracle needs to improve scheduling processes, especially the way Oracle defines global-level formatting. The improvements in the solution would also include the integration of data visualization since all the new visualizations are only visible with the DV Cloud. Since it is very difficult, you cannot use the new visualizations on the older historical data, like the answers and all that stuff. The aforementioned details can be considered for improvements.

I have been using Oracle Analytics Cloud for fifteen years. My company functions as a reseller and has a partnership with Oracle.

Stability-wise, I rate the solution a nine out of ten.

Scalability-wise, I rate the solution an eight out of ten.

The total number of users of the solution in my company ranges from 100 to 500.

My company mostly caters to enterprise-sized businesses.

I rate the technical support a nine out of ten.

Positive

I rate the initial setup a nine, considering an infrastructure with a single server on a scale of one to ten, where one is difficult, and ten is easy. The setup phase depends on what kind of setup a person asks for in their infrastructure. Suppose a person expects disaster recovery or multi-level redundancy when that person's server is in Europe, and the backup is in the data centers in the USA and India. In that case, it takes a longer time.

The solution is deployed on the open cloud or public cloud.

Considering all the instances, the deployment process takes a week, but it takes only a few hours for one instance.

As a part of the deployment process, you opt for the universal credit pricing to figure out the licenses required, or else you will have to bring your own license model. After speaking to Oracle's support team, you can create your user ID and password while ensuring that all the universal credits were a part of the process, following which you can give the name you want for your instance before connecting with Oracle's support team who will then carry on with the instance creation processes. Meanwhile, you will have to see where your database connectivity features, and if you want public connectivity, then you will have to whitelist some IPs while also having to take care of the firewall part. The aforementioned areas are usually taken care of by Oracle.

I rate the product's pricing a nine on a scale of one to ten, where one is cheap, and ten is expensive.

There are no hidden or redundant charges apart from the standard licensing costs.

Oracle Analytics Cloud is meant for enterprise users and is based on traditional data warehousing approaches. The product is probably meant to store over a thousand reports and dashboards. When you implement the product on a small scale, it doesn't generate any ROI.

I rate the overall solution an eight out of ten.

We use a solution incorporating machine learning and diction to word instructions for student appointments.

The solution is user-friendly.

The CLEAR report has room for improvement. 

The AI features can be improved.

I would like to have extra visualization such as geographical, more advanced org charts, and interactive charts and dashboards.

The scalability has room for improvement.

I have been using the solution for one year.

I give the scalability a six out of ten. The solution is not very scalable.

We have 20 people using the solution.

I give the initial setup a seven out of ten. I had some difficulty with the query and the report flush. The deployment took one month.

The implementation was completed in-house.

The solution is not very expensive. I give the cost an eight out of ten.

We pay on a monthly basis and it is $10 per user each month.

I give the solution an eight out of ten.

The maintenance requires one person.

Oracle Analytics Cloud is the gold standard, but new users need to also take into account the price.

I have been using it only for reporting. I am trying to conduct some usage regarding the self-service BI, however, I haven't been able to implement it in that way. What I have been using is only BI reporting.

Previous to using Oracle Analytics Cloud, we had several issues consolidating information in one report. Using this tool, we were able to forget about using Excel and keep using it as the only source of data.

The main functionality is great and everything is pretty standard and easy to use. 

It's great for consolidation and creating one source of truth. 

The initial setup is pretty straightforward. 

The user interaction with the solution could be better. It can be frustrating at times. Sometimes it depends on the database performance. When we have, for example, a table with low performance, we have several issues with drawing some graphics in the Oracle cloud.

I've been using the solution since 2018. it's been about four years now. 

The solution is stable. The only stuff I have some issues with was related to some communication with the database. I had some lack of communication that was an issue over there, however, most of the time, it was very stable.

It's not a scalable product. We have about 40 people using the solution and they are mostly data analysts. 

There is only one business area using the product and we have no plans to expand the usage.

We did not have a positive experience with technical support. 

Negative

We did assessments of other solutions. We were also trying to use Tableau and Power BI. The main difference was the self-service functionality. 

The solution is pretty straightforward and simple. I'd rate it a three out of five in terms of ease of setup. We did the full deployment twice and it took us about eight months. 

We had a team of six people who handled the deployment and maintenance tasks. 

We handled the implementation with our in-house team. We didn't use outside consultants or anyone like that. 

We have not yet witnessed any ROI. 

I cannot speak to the exact licensing costs of the solution. In previous experiences, however, I recall it being quite expensive. I would rate it five out of five in terms of the level of expense to expect. That said, beyond the licensing fee, there are no other add-on fees to expect. 

When I was onboarded for the project, I was told to use Oracle Analytics Cloud. The assessment of other options is being done right now.

We have a hybrid cloud deployment and use both AWS and Azure. I tried to use the Oracle cloud, however, I was unable to due to the budget.

I'd rate the solution two out of ten. It really isn't the best.

It's rather user-friendly.

The solution can scale.

The stability is good.

It's easy to set up.

The cost factor needs to be improved. When you want to scale up and improve the computing power, it becomes extremely costly. 

They could improve the ease of developing the dashboard and interacting with it.

They can also improve, quite critically, the user interface. It's not as intuitive as Qlik Sense.

There should be improvements in Auto ML, automated machine learning, and, if possible, even robotics process automation.

I've used Oracle Analytics Cloud for two years now. The company has been using it for close to five or six years now.

It's quite stable and quite sustainable. There are no bugs or glitches and it doesn't crash or freeze. 

While you can scale, it can get expensive.

When you want to scale it up, you eat resources in terms of computing power, storage, querying, and everything else. It becomes very expensive.

While It's possible to scale anytime upwards or downwards, the cost factor becomes an impediment.

While technical support is quite good, it's slow. We need to raise a ticket. After that, it can take up to two to three or four hours for them to respond. For Qlik Sense, in contrast, it's just direct. We just call them or we just email them or even Whatsapp them, and they will immediately respond, set up a call, and that's it. They solve it. 

We also are familiar with Qlik Sense. For Qlik Sense, we are proceeding to be ISA partners and have used it for six months.

The initial setup is straightforward. It's not overly complex. The deployment itself took about a year.

We have two people that are available to maintain the solution.

We handled the implementation completely in-house, without the assistance of any integrators or consultants. 

The pricing could be a bit lower. it's a bit expensive right now, especially as you scale up.

We pay $50,000 on a yearly basis.

We are an ISA partner.

We are using the latest version of the product.

If there is a simpler, faster, or cheaper solution, then a company should go for it. Look at the Gartner Quadrant, as, clearly, Oracle is not yet a leader. We have Microsoft, we have Qlik Sense. If a company can factor in other solutions first, it's best. The key advantage of Oracle is, that once you've got your account, at least you have access to the autonomous data warehouse and you have access to automated machine learning, (AutoML) and so on and so forth. Beyond that, it's just so expensive. I wouldn't advocate for somebody to go for it.

I'd rate the solution a six out of ten.

This product is used for reporting and visualization.

We are not using the latest version but rather, one version back.

From a financial or bank perspective, this product is secure enough.

The dashboards, analytics, visualizations, and different reports are valuable for business analytics.

The AI/ML enablement is useful, as many reporting tools do not offer machine learning models as of now, without writing customized code.

This product does not support custom charts in the visualization.

At this time, dataflows cannot be shared, but I think that this should be enhanced.

There are a couple of other limitations. For example, many reporting tools offer good features and oracle should learn from that.

There should be tool tech enhancements.

We have been using Oracle Analytics Cloud for approximately three years.

This is a stable solution and we plan to continue using it for at least another year.

I believe that this is a scalable product.

We have been in contact with Oracle technical support and we are satisfied with it.

I have worked with many reporting tools including SAS Visual Analytics, Spotfire, and Activu.

There was no specific reason for switching to Oracle Analytics Cloud. This was a decision driven by the priorities of the moment.

The time required for deployment is almost an hour.

Deployment requires a small team of people. One from admin, another from the development team, and one more.

I would rate this solution an eight out of ten.

I am a software designer and a part of the technical team and we create the dataflows for the end-user.

The features that I find to be the most valuable are the BAS (Business Analytics), the Narrate feature, and the auto-visualization.

Sharing dataflows is not possible at this time, and the custom chart functionality is not available. 

I would like to see making abbreviations as per the user's needs.

Oracle Analytics Cloud is stable.

It's a scalable product.

The technical support that we are getting from Oracle is pretty good.

Previously, I worked with Tableau, Spotfire, and SAS VA. Tableau and Spotfire are a little advanced when comparing with OACs (Oracle Analytics Cloud). The customizations and making the licenses to suit your needs is pretty easy.

The price is reasonable; it's quite a bit lower than Tableau and Spotfire.

Depending on the needs of business to business, but as far a visualizations are concerned, this is a good product. Anyone can update for Business Intelligence.

I would rate Oracle Analytics Cloud an eight out of ten.

We use Analytics Cloud to generate reports about data other Oracle solutions produce. 

Analytics Cloud generates reports that drive the company's strategic decision-making. 

Analytics Cloud allows you to merge various data types and structure data from multiple sources.

Analytics Cloud is highly stable

I rate Oracle Analytics Cloud 10 out of 10 for scalability.

Oracle customer service is perfect. 

Positive

Setting up Analytics Cloud was straightforward because I got help from Oracle. 

Oracle is expensive compared to tools by AWS and other cloud providers.

I rate Oracle Analytics Cloud 10 out of 10. 

I think the solution is great as is.

It is expensive so the cost could be better.

We used this solution for about one year. Oracle Analytics Cloud is more refined compared to the on-premises version of OBIEE. It's simpler to use and takes very minimal effort to set up compared to OBIEE.

It is a stable solution.

It is a scalable solution.

The technical support is excellent, and they respond quickly.

I do not know the exact costs, but enterprise customers shy away from purchasing Oracle Analytics Cloud and prefer competing solutions from Tableau and Microsoft.

I rate the solution an eight out of ten. Regarding advice, consider doing a very detailed proof of concept before purchasing.

We have Oracle EBS and HR analytics, and we are using it for reporting.

Mobility is the most valuable feature for us. All employees can access it from anywhere. It is a big advantage for us.

For HR, Analytics Cloud is the most viable solution.

Its machine learning and visualization capabilities can be improved. There should be more visualization options.

In our company, we have been using it for the last six months.

It is stable.

It is easy to scale. We have about 1,000 users. We are a software company, and our developers and our finance people are using its reporting capabilities.

I have not interacted with them.

It was quite easy. I would rate it a five out of five in terms of the ease of setup.

It was implemented in-house.

I don't know the exact cost, but its pricing was good. Its pricing was competitive. I would rate it a three out of five in terms of pricing.

I didn't deeply analyze and compare it with others.

If the data is in Oracle, Oracle Analytics Cloud is a very good option.

I would rate this solution a seven out of ten.