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.

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.

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 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.

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 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.