Oracle Analytics Cloud Reviews

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.

Our primary use case for Oracle Analytics Cloud is for management reporting purposes within our organization.

The primary benefit of using Oracle Analytics Cloud is the ease of access to data, which enables users to retrieve and utilize data more efficiently. Another key benefit is the ability to share data across different departments seamlessly.

The product's most beneficial feature is the ease of use for data analysis.

The product could benefit from increased flexibility compared to other vendors like Power BI and Tableau. Currently, it can be quite complex for end users to navigate. Enhancing flexibility and ease of use would enable users to create reports more effortlessly with just a few clicks.

We have been using Oracle Analytics Cloud for more than 15 years.

The platform is relatively stable now, particularly considering its newer features. However, the platform continues to evolve, and there is room for improvement.

We manage the operations for five Oracle Analytics Cloud customers. I rate the scalability a nine out of ten.

Technical support services could be more user-friendly, knowledgeable, and fast.

We are implementing Power BI and Tableau. At the moment, they seem better than Oracle Analytics Cloud. They're more user-friendly and support flexibility. For example, if you don't have the required charts for that product, you can download them from chart markets. So it is quite easy. But for Oracle, it's still not possible now.

Oracle Analytics Cloud's pricing is generally higher than that of Tableau and Power BI. I rate pricing a nine out of ten.

The integration of machine learning algorithms has significantly improved our analytics capabilities. It now provides quick insights into the data by leveraging machine learning algorithms. Users can input their queries or preferences, such as nearby products, and the system uses these algorithms to generate valuable insights. It supports data governance and security requirements.

Before implementing, I advise understanding the product's pros, cons, and features. Without a solid foundation, a gap between the product and expectations could occur, making management challenging.

It addresses the trend of self-service and managed analytics well. The ability to quickly search for and access relevant data is crucial.

I rate it a six out of ten.

I use the solution for the dashboards and basic reporting. 

Oracle Analytics Cloud's most valuable feature is its visualization. 

The product should improve its user interface. It should be welcoming and modern. Developers should also find it easier to build data models. Oracle Analytics Cloud needs to have better visualizations and more options in the marketplace. 

I have been using the product for three years. 

I rate the product's stability a nine out of ten. 

I rate the tool's scalability an eight out of ten. 

I used Tableau before Oracle Analytics Cloud. We switched to Oracle Analytics Cloud due to company decision. 

Oracle Analytics Cloud's deployment is straightforward. You need to create connections and ensure that proper syntax is made. Also, proper configuration is needed to be made in OCI. 

The tool's pricing is not unreasonable or non-competitive. 

You need to overcome a learning curve to utilize the tool's benefits. I rate it a seven 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.

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.

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.

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.

It's really an enterprise solution. It has a dashboard, like standard dashboarding functionality. It also has reporting capabilities for producing pixel-perfect reports, bursting large volumes of a document if you need to.

It has interactive data discovery functionality, which you would use to explore your data, bring your own data, and merge it with maybe the data from an enterprise data warehouse to get new insights from the pre-existing data. 

It has machine learning embedded in the solution. If you're new to machine learning, it's a really good way to get into it, because it's all within this platform, and it's really easy to use.

As with most BI tools, the visualizations can be made much nicer. Currently, it has standard visualizations. They've been adding new visualizations, but we see animated visualizations from other vendors. It would be nice to have similar visualizations, such as the swarming visualizations, which are fairly new and very popular at the moment. I haven't seen that with Oracle. That would be nice.

I have been using this solution for about a year. We are using the most current version. 

I find the stability of this solution excellent. I haven't encountered any problems, but that would be my expectation. 

It's excellent. Its scalability is really what makes it stand out. You can on the fly increase the processing capacity of your instance for as long as you need it and then bring it back to whatever minimum setting you had. It's done on the fly with no downtime. That is very impressive. I love this.

It's very easy to set up. It's extremely easy because it's in the cloud. You spin up your instance, which takes two minutes. You can also natively connect to an autonomous data warehouse.

I've given some thought to Power BI because it's so widely used, but my area of expertise is really around or has always been around Oracle. So, it was more of a natural choice for me.

It really has everything that I want and need. It's very easy.

I would rate this solution a nine out of ten. It would be nice to see swarming kind of visualizations. Other than that, it's a complete product.