Pyramid Analytics Reviews

My main use case for Pyramid Analytics, was when I served as a Medical Director. I was able to build internal reports that extract information from a larger centralized data warehouse and present it in a way that allowed me to evaluate my own internal programs and my designated region. I also took various data cubes and married them together for a cohesive report for our national CARF survey, which is an international rehab accreditation report to examine the metrics and analyze trends to make decisions about quality improvement projects.

A specific example of a report I created with Pyramid Analytics involved various metrics that had to be met for strategic planning, such as improving telehealth access. I used the code for our telehealth clinics and performed a type of "plug and play" by dragging various pivot tables to determine how many new versus existing patients utilized our telehealth services.

Pyramid Analytics allowed us to make data informed decisions without the manual sifting through of the data by staff.

Pyramid Analytics offers several best features, including an intuitive interface, especially the drag and drop features, which were probably the easiest to use once I became accustomed to them. Overall, I appreciated that it provided information to support data-driven decisions. Some challenges include issues with incorrect information that was input into the system, and those errors could persist in Pyramid Analytics and affect data purity. However, I primarily used it to examine trends.

Regarding the drag and drop features, they helped me in my daily work and was easy enough to be self-taught when building the specific reports I desired. It also allowed me to reach out to patients that needed closer follow up in the clinic.

To improve Pyramid Analytics, I suggest implementing a way to remove erroneous data entry from the reports and save them as personal files, allowing for more accurate analysis rather than solely relying on trend observation based on possibly flawed data.

I have been using Pyramid Analytics for approximately four to five years.

Prior to using Pyramid Analytics, I utilized manual Excel spreadsheets, and I found Pyramid Analytics much easier to use since the data is centralized and only requires extrapolation.

Pyramid Analytics positively impacted my organization by allowing data informed decisions to improve programs. It also enabled me to communicate effectively with my direct supervisor, who sometimes does not fully understand the scope of my program. I was able to demonstrate the data to showcase my contribution. As physicians, our value often relies on productivity frameworks and RVUs. When I can directly show that I provide good, cost-effective care, for example maintaining the lowest rates of re-amputation and revision surgeries, that value transcends mere appointment counts.

On a scale of one to ten, I would rate Pyramid Analytics an eight. Although I do not have extensive comparisons, I find it to be an extremely useful and user-friendly tool.

Regarding Pyramid Analytics's AI capabilities, I believe its effectiveness relies on the data it processes since accurate understanding of that data is essential. AI can be used to make further projections, but due to potential inaccuracies in diagnoses as one example, individuals may be incorrectly calculated into cohorts. As long as there is oversight to ensure the data's meaning is understood, AI algorithms may be potentially trained to improve access and education.

The accuracy and reliability of Pyramid Analytics's output depend on the questions posed. From an operational standpoint, it may be more efficacious than from a clinical standpoint, as data alone cannot capture all the things happening that influences one's health, but for operational efficiency, it can be quite beneficial.

My advice to others looking into using Pyramid Analytics is to remember that you are only as good as the data you measure. When data is collected, it needs to be understood to facilitate future processes, which may include improving data collection or ensuring the accuracy of the data in specific contexts to inform decision-making. I would rate Pyramid Analytics an eight on a scale of one to ten.

I used Pyramid Analytics approximately six to eight months ago on a past project. My main use cases for Pyramid Analytics included building dashboards, performing ETL tasks, building presentations, generating reports, and utilizing the Formulate feature, the Dashboard feature, the Report feature, and the Present feature. We created a financial use case for healthcare that performed very well on a solid platform.

I can share that we built an analytical trend line, developed quick KPIs, constructed analytical dashboards, and applied Formulates, though I cannot share client details.

The best features Pyramid Analytics offers that stand out to me include the Present feature, the dynamic reporting capability, Time Intelligence, and data modeling, all of which are excellent. My only concern is about the development time; having support from an AI chatbot that could assist me during development would be more helpful.

I have seen measurable outcomes such as developing dynamic reports, exporting, printing, and sharing, making it a very good feature. The Presentation and Report features are really commendable, and the model building feature is good as well.

Pyramid Analytics has positively impacted my organization as my company, a services company, used this tool for a project, and some colleagues and I learned to apply it; however, not much progress was made since most people did not know about it before, and after ServiceNow acquired it, we did not use it anymore.

I have not used any kind of BI tools previously, so I cannot compare it, but I suggest that if there is some AI that could help developers, that would be beneficial since the documentation is very poor and the support from the team, after ServiceNow acquired it, has not been used much. A dev tool where I can chat with AI to resolve development doubts instead of modifying my existing dashboards or formulas directly would be really helpful.

I believe having a chatbot for developers to debug issues and help develop dashboards and Formulates would be valuable, improving the overall experience.

Aside from the mentioned improvements, I think it is a really good platform and is functioning well.

I have been working in my current field for approximately one and a half to two years.

I found Pyramid Analytics to have some reliability issues; there was a time when the service was down for about a week, impacting our development and client dashboards, which should not happen, as data products should always be operational.

Pyramid Analytics is not entirely stable in my experience; there have been issues such as unexpected downtime and crashes.

The scalability of Pyramid Analytics is great, and it can handle more users or data as our needs grow.

The customer support for Pyramid Analytics is very good, and I have had to reach out to them.

This is the first solution I have used to develop a BI solution, as I have only one and a half years of experience.

My company has a business relationship with this vendor as a partner, not a reseller.

I indeed see a return on investment from using Pyramid Analytics since it is a valuable and inexpensive BI tool.

As a junior, I can share developer perspective information, but I do not have information about pricing, setup costs, and licensing.

I did not evaluate other options before choosing Pyramid Analytics because my leadership provided this tool for me to learn and solve problems.

I would advise others looking into using Pyramid Analytics that it is cheaper than other options. My review rating for Pyramid Analytics is seven point five out of ten.

My main use case for Pyramid Analytics was that it was a new tool that the company had acquired for visualization, dashboarding, reporting, and similar tasks, which is what I was doing.

I worked on one report using Pyramid Analytics, where I had to get the data from an Oracle database, connect to it using PL/SQL, and perform all the transformations in the backend using SQL, and then load the data.

I wrote the query inside Pyramid Analytics, modeled the data inside the platform, and displayed a table as a report.

I believe the amount of features Pyramid Analytics offers is almost overwhelming.

The platform has a small ETL tool that is similar to Power BI query but a bit different, and it reminds me of SSIS, but I would not use it since the engine on Pyramid Analytics is more of a front-end based engine.

I would much rather do ETL transformations using SQL or another tool, but it is really nice for a beginner or maybe for quick transformations, and the modeling tools are also really nice.

I cannot accurately say how Pyramid Analytics impacted my organization positively, as I only used it for a few months before switching places, but the platform does have feature-rich visualization tools that allow you to visualize your data any way you want and build attractive dashboards.

I would not say Pyramid Analytics made reporting faster; it just offered more features compared to the previous tool, Sisense, which we used before switching to Pyramid Analytics, mainly because it also has a small ETL tool inside it.

Additionally, it has some machine learning features, but I did not get to use those.

I think Pyramid Analytics could be improved by making it less feature-rich, as too much choice and complex menus and sub-menus are a drawback.

I feel a visualization tool needs to be very simple.

Also, the calculations for measures are really complex, and the need to select checkboxes and navigate menus is frustrating.

I believe SQL or Python, which almost every developer can use, is much easier.

However, this is the tool that the company offers.

I have been working in my current field for four years and have been doing AI engineering for the past one and a half years.

Pyramid Analytics is stable in my experience.

I cannot answer how Pyramid Analytics's scalability is because during my time working with it, there were many data teams that each had access to Pyramid Analytics and could develop their projects.

Given that it was used in a bank with a massive infrastructure and servers, it seemed pretty stable and scalable, working perfectly fine.

Customer support was really good; they taught us how to use the tool, which was helpful since there is not much documentation available online because it is a fairly new startup with a small user base.

They brought in teams to assist us, and the customer support was awesome.

I previously used Power BI and worked with Tableau after Pyramid Analytics, as these were the tools provided by the respective companies I worked in, mainly for very basic reporting or basic dashboarding and simple visualizations.

My organization evaluated other options, including Power BI and Tableau.

We were using Sisense when I arrived and I worked with it for about a year before Pyramid Analytics was introduced and I used that for about three or four months until I left for a different company.

I liked that I could write my own query inside Pyramid Analytics and extract the data the way I wanted it, but I did not like that it was too complex to display just a simple report, with so many menus and sub-menus, and the calculations were a bit complex.

In the report itself, in the visual itself, it was pretty good and nice, but nothing special.

I have also used Tableau and Power BI for comparison, and while Tableau is much easier to work on, it lacks the ETL transformation features found in Power BI and Pyramid Analytics.

Overall, I think Pyramid Analytics is the top visualization tool because it is easier to work with, and it has lots of features, which depends on how you are going to use it.

If you are just going for very basic reporting and transformations, it is a good fit, but for more complex needs, I prefer a different tool for ETLs, while using Pyramid Analytics primarily for visualization.

I would rate Pyramid Analytics a seven as the more conservative option.

I choose seven specifically because I think this tool is really good for people who are not developers.

As a developer, I work a lot with Python or SQL, which makes it easier to extract data and perform calculations, but if you are not a developer, it is easier to use checkboxes and if-then conditions.

The problem arises for developers who are frustrated when using those features.

Therefore, it serves more as a use case, and someone not versed in development would likely enjoy it and find it effective for analytics, while developers might find it cumbersome, leading me to rate it a seven.

I did not know Pyramid Analytics has AI capabilities; perhaps it is a new feature that was added after I used it.

I have no experience with Pyramid Analytics' AI capabilities, specifically regarding its accuracy and reliability of outputs, so I would rather not answer that and potentially provide incorrect information.

I would advise that if the user is a developer, they should use Pyramid Analytics as a visualization tool, managing the logic themselves and just loading the data, modeling it by connecting tables to display the data.

If the user is not a developer, I would recommend getting deeper into learning how to use the tool properly, as it can be a bit cumbersome yet allows for a lot of functionalities.

My overall rating for Pyramid Analytics is seven.

My main use case for Pyramid Analytics involves creating dashboards on top of our dimension and fact tables for our insurance domain, which includes policies, claims, and quotes.

We have connected Pyramid Analytics to our Snowflake environment where our data warehouse is hosted. Initially, we were using password-based authentication in Snowflake, but Snowflake informed us that this would be retiring soon, so we moved to key-pair authentication. We have changed all our connections in Pyramid Analytics to key-pair authentication, and it is versatile to use. Pyramid Analytics is also versatile because our ETL tool is Informatica IICS, and Pyramid Analytics is versatile enough to have all schedules called by API. As soon as our ETL completes, we call the Pyramid Analytics API using the PA token, schedule ID, and URL to refresh the dashboard so that our Snowflake credits are not wasted.

We have created dashboards based on book month, book year, net incurred losses, earned premium, and net written premium.

Pyramid Analytics has the capability of AI, which was available much before ChatGPT and other tools came into the picture. We can write our use case and click on the query tool, and it generates a query for us. This was useful for us from the beginning, and that is why we chose Pyramid Analytics at a quite early stage.

The best features Pyramid Analytics offers include its no-code ability, so we do not have to code much. It is basically drag-and-drop. We are creating action facts and measures, and we are now adding details. The AI-assisted features allow us to have many dashboards, and we can leverage all our connections with the latest technologies. These are the best use cases we can have.

The more important features we have mainly used regarding Pyramid Analytics include access control, business logic, and auditing. We have trained staff on model building, deployment, and Python support. These are features we want to explore further, but we have not done so yet.

Getting accustomed to the latest AI technologies is something I feel Pyramid Analytics should be able to address.

Minimal input and maximum output is what I would recommend regarding needed improvements for Pyramid Analytics.

I have been using Pyramid Analytics for around four years.

Pyramid Analytics has been stable in my experience.

Pyramid Analytics's scalability is quite good.

The customer support for Pyramid Analytics is fine. We raise cases and receive support in adequate time.

I did use a different solution before Pyramid Analytics, and it was in a greenfield organization.

Before choosing Pyramid Analytics, we did not evaluate other options. We used Pyramid Analytics as the first tool only.

All our folks at the offshore side work in ETL and did not have any prior knowledge of Pyramid Analytics, but they are very comfortable using it. In a day or two, they become accustomed to it, so it is very useful for us. They can always check how the data is looking in the database and how the data appears in Pyramid Analytics. When doing any deployments, we always take this as a baseline by comparing the pre-dashboard with the after-dashboard. If they are the same, our deployment is successful because when we are changing the data, it should not have any negative impact.

Pyramid Analytics also releases updates frequently, so we have to become accustomed to new versions. Sometimes we have encountered some issues, but they were manageable.

Cost has been reduced because we previously tried Tableau, but one of our clients did not agree to use Pyramid Analytics. Initially, we purchased Pyramid Analytics, and the costing is fine.

We have a variety of insurance customers, and we track metrics such as incurred losses, written premium, and insurable objects on a line of business. Pyramid Analytics has positively impacted our organization in these areas.

We highly recommend Pyramid Analytics. We recommend it to our clients from day one. It is quite reliable, and we are recommending it to everyone. I rate this review as an eight out of ten.

It is mainly used by finance users in the Financial Planning and Analysis department. It works as a front-end application that enables access and analysis of finance data from various sources such as VIP and SAP. The interface has access to a specific multidimensional cube developed internally. The cube is built using MSAS. It allows users to explore financial data at a granular level and enables them to drill down or drill through to queue-based reports, providing better insights and analysis.

It proved to be a very powerful and useful tool due to its breakdown capabilities, easy reporting features, flexibility in building custom calculations, and the ability to integrate them into reports. Its web-based nature ensures no client installation is required, making it easily accessible for users. The application also complies with fax regulations, requiring necessary approvals before adding users. The user-friendly interface, look, and feel of the application further contributes to its success in the organization.

Its ability to access different applications and offer development functionalities, along with the valuable feature of drill-down reports, enhances its usefulness in financial analysis and reporting.

When developing multidimensional IMDS models in Pyramid Analytics, there is a need for better features to maintain and analyze data. The application currently lacks the ability to easily track the original physical table and field names, making it challenging to relate them to business names. It would be desirable to have the possibility to generate a data dictionary, detailing the original physical tables, renamed fields, and derived fields. Such features would simplify documentation, facilitate understanding of how calculations depend on physical fields and aid in explaining the development process to others. Having this lineage and easy-to-generate data dictionary would greatly enhance the usability of Pyramid Analytics for developers.

I have been working with it for five years.

It offers good stability. We didn't face any issues regarding it due to our multi-server environment with redundant task engines and downtime engines to ensure continuous operation. We have also upgraded our hardware configuration with more RAM and higher CPUs to enhance performance.

It is scalable, although we have not utilized all of its features. We faced some initial issues when integrating with Snowflake, but those were resolved in subsequent versions, leading to better performance. We developed direct query models instead of storing data internally within the application, which aids in dealing with larger volumes of data in the back end.

They provide a high level of customer service and support. I would rate it eight out of ten.

Positive

I was previously working with ProClarity, but they announced its retirement and lack of support for future versions. They had various issues and bugs, prompting the need for a more robust and supported solution.

We followed a set process of developing in dev, testing in QA, and conducting UAT before exporting and importing the model into production. Initially, we had to learn about the application from scratch and it took a couple of months to set up users, access, and familiarize with Pyramid Analytics. The finance teams were previously working with ProClarity and it took time to correlate their previous processes with the new tool. The main goal was to make users comfortable and provide support throughout the transition.

Finance teams appreciate Pyramid Analytics and have a positive opinion of the application in general.

The licensing cost is not excessively expensive, but it does increase with the addition of new features and modules. We only renewed our existing standard licenses and did not purchase any additional modules. The cost could be seen as reasonable, but it restricts access to only finance users. If expertise is required for developing and delivering solutions within Pyramid Analytics, consulting services may need to be hired, resulting in additional costs for the company. I would rate it seven out of ten.

It is a versatile and easy-to-maintain tool with connectivity to various databases. If the environment is highly secure and restrictive, configuring connections to systems like SAP or SharePoint may require overcoming network security restrictions and opening ports. There is no clear guidance on how to resolve these issues yet, so admin support is necessary for troubleshooting and analyzing logs or errors. I would rate it eight out of ten.

Pyramid Analytics is a great tool for digging into data from different angles. It is like a supercharged version of Power BI, offering a smart way to analyze information over time and other dimensions. With Pyramid, you can easily create detailed reports that provide timely and intelligent insights. It is a user-friendly platform that makes data exploration and decision-making easy.

At my previous job, we used Pyramid Analytics for a healthcare client, and it made a big impact. They wanted to predict patient visits using machine learning. With Pyramid, we analyzed five years of clinical assessment data and forecasted how often patients would visit each site. After six months, our regular analysis showed that Pyramid accurately predicted visits around 80% of the time. This was a huge benefit in implementing the healthcare plan, providing valuable insights for better planning and resource allocation.

The most valuable feature of Pyramid Analytics, outshining even top-tier platforms like Power BI, is its robust support for DAX queries. This capability enhances data analysis significantly, making Pyramid a versatile and powerful tool for deriving insights from complex datasets.

Pyramid Analytics could improve by speeding up data refresh, especially for large datasets. While it is currently an in-memory tool, efforts are underway to enhance direct connections to source systems and potentially move to the cloud for faster reporting. There is also room for improvement in supporting additional reporting formats like D3.js and web reports.

I have been working with Pyramid Analytics for five years.

I would rate the stability of Pyramid Analytics at around a six out of ten. While it is not exceptionally stable currently, there is ongoing improvement as the tool evolves at a faster pace.

I would rate the scalability as a nine out of ten. Currently, we have around 30 to 50 end users in our organization, with seven developers working on various business modules. Initially, we started with 15 users and have developed around 100 to 150 reports. While our current usage is at a maximum of 50 end users, we anticipate potential increases in the future, especially if there are any acquisitions.

I would rate their tech support as a ten out of ten.

Positive

I used Power BI, Tableau, and a bit of Click before switching to Pyramid Analytics. I made the switch because Pyramid has a more user-friendly interface with better features. It also supports multi-dimensional models, which was a key factor, something Tableau doesn't offer.

Deploying Pyramid Analytics was quite straightforward. The deployment involved a small admin team of two to three people, while the overall team size was around 15 to 20, including seven business intelligence specialists. In terms of maintenance, it is minimal, typically requiring only a patch upgrade every six months. Overall, it is a low-maintenance solution once it is up and running.

We have seen a significant return on investment with Pyramid Analytics. For instance, in forecasting patient visits to urgent care facilities, we achieved an 80% accuracy, allowing providers to plan and allocate resources more effectively. 

I find the price of Pyramid Analytics to be quite reasonable, especially when compared to other tools in the industry. It is a cost-effective choice, particularly for mid-sized or larger companies with a three-tier or higher structure. It meets the needs well within budget.

My advice to anyone considering Pyramid Analytics would be that if you are a smaller organization with budget constraints but still need robust reporting metrics, Pyramid's mode could be the perfect fit. It offers all the necessary features and solid technical support at a more affordable cost. On the other hand, if you are a larger organization with a bigger budget, you might want to explore Power BI. While both platforms are similar, Power BI, being integrated with Microsoft, has the added advantage of seamless connectivity to Microsoft systems. They serve the same purpose, but Power BI is hosted by Microsoft. Overall, I would rate Pyramid Analytics as an eight out of ten.

The solution is used for high level reporting. 

Pyramid has a wide level of uses, as it's a complete ETL process and has a good level of connecting to a lot of data sources. 

Even though the solution has a functionality for every step, it's not so well- defined. That needs to be improved. 

I have been using Pyramid Analytics over three years. 

It is a stable solution. Sometimes there are bugs but most of the time, it is stable.

It is a scalable solution. Presently, 200 to 300 users are using the solution. 

The technical team is very responsive. 

The installation is done by third party vendors. 

I have seen a return on investment.

There is a yearly cost which is between ten to twenty thousand per year. 

The company decided on Pyramid Analytics because the pricing is good and we were in need of a BI platform. Plus it has a customer code and AI. 

I rate the overall solution an eight out of ten. 

It is a versatile business intelligence and analytics platform that can be used for various purposes including creating medical services dashboards, supply chain dashboards, and leveraging AI capabilities. It allows connecting and analyzing data from multiple sources, creating models and visualizations, and collaborating with others. 

It offers a unique and powerful feature called ''swapping'' which allows users to easily switch between columns and rows, and the platform automatically recalculates all the relevant measures accordingly. It provides extensive self-service capabilities, enabling users to customize visuals such as changing bars to circles. It offers a wide range of analytics options including statistics and visualizations, as well as prediction capabilities, allowing users to make forecasts based on the latest data.

The platform has encountered several bugs during programming. Their support team collaborated with us to find solutions, even if the bugs were new to them as well. While they managed to eventually resolve issues, it is acknowledged that there may be some bugs that they did not anticipate, especially in regions where the platform is less commonly used. There is room for improvement in terms of the user interface, particularly when it comes to modifying connections between filters and visual components in a dashboard. The process currently requires making changes one by one, which can be tedious. The platform developers are aware of this limitation and they have been working to enhance the user experience and provide more efficient ways of modifying dashboards.

I have been using it for one year.

The stability is inconsistent, as sometimes it presents alerts upon opening a dashboard, but these alerts may disappear upon reopening. The stability depends on the complexity of the functions implemented in the dashboard. If sophisticated functions are used, there may be instances where the system encounters errors or struggles to determine the cause of the alert.

We obtained two hundred licenses, but we have only thirty to forty people who use Pyramid dashboard. It is a scalable solution.

Our experience with their customer support services is highly satisfactory. They have offices here, in Tel Aviv, and when I called them to report certain issues, they scheduled a meeting with me in their offices. During the meeting, I had the opportunity to discuss the issues encountered and provide necessary information. The bugs reported were promptly addressed and resolved within a week or two, with the support team conducting collaborative meetings to ensure efficient communication. 

The initial setup was done easily and promptly.

After we evaluated several options like Power BI and Tableau, we decided to choose Pyramid Analytics. While Power BI is strong in cloud-based solutions, it lacks frequent updates for on-premises versions. As a result, Pyramid Analytics becomes the preferred choice as it offers robust features and frequent updates for on-premises data analytics.

When working on-premises, Pyramid Analytics offers several advantages over Power BI and Tableau. Despite some limitations in terms of programming, it offers extensive self-service capabilities and functions that cater to end-users needs. I would rate it eight out of ten.

I use it to create reports for my clients. These reports focus on traditional business topics like market share, share difference, and sales difference over different time periods. It helps us analyze and present data in a structured way.

The features I find most valuable are 'Discover,' 'Formulate,' and 'Model.' I use them regularly to build logic and create reports for my job.

There is room for improvement in terms of documentation and examples, especially for newcomers like me who are learning both business intelligence and Pyramid. I have occasionally struggled with understanding the syntax, so more extensive documentation with practical examples would be really helpful. Additionally, I have encountered challenges with loading large amounts of data into memory. While working in the cloud is fine, managing and processing data in memory has been a struggle. I have had to raise technical support tickets to address these issues.

I have been using Pyramid Analytics daily for about eight months.

On a scale of one to ten, I would rate the stability as a six. I have experienced an issue where I lost a lot of work, and it was frustrating. While it doesn't happen regularly, there have been instances of work being lost, including by a partner in Germany.

The scalability of Pyramid Analytics is quite high, I would rate it eight out of ten. At my company, six people use the solution, and we have about 100 clients who use it as well. We are considerably expanding the usage of the solution.

My experience with the support team has been positive. I have reached out for help with various issues, and I think they are attentive, supportive, and responsive. Overall, I find their support to be good.

We didn't use a different solution before Pyramid Analytics. We chose Pyramid primarily because it was the preferred choice of our major client.

The solution is not cheap, but its pricing is comparable to other BI tools on the market.

My advice for newcomers is to try to separate your work from understanding other data as much as possible. Start with public datasets or your own familiar data, like sports analytics, to learn the tool and its capabilities. This way, you can stretch yourself and explore various aspects of the tool without being limited by client expectations. Overall, I would rate the solution a seven out of ten. 

Our primary use case is user safety. 

I think the most valuable Pyramid Analytics feature is the solution's ability to drill down and dice in the loop. I think it is better than InExcel or Power BI. Online analytics is described all up. The users really can analyze the data online.

I think the graphic number of charts and components could be higher, at least comparable to Brain Power BI. 

I have been using this solution for about three years.

I would rate the stability of this solution a seven, on a scale from one to 10, with one being the worst and 10 being the best.

I would rate the scalability of this solution a five, on a scale from one to 10, with one being the worst and 10 being the best.

I would rate their technical support an eight, on a scale from one to 10, with one being the worst and 10 being the best.

Positive

Previously, we used a product called Clarity and we chose Pyramid Analytics because of its repository. 

We switched solutions because Clarity was bought by Microsoft and no longer available on the market.

This initial setup was straightforward. I would rate it a nine, on a scale from one to 10, with one being the worst and 10 being the best. The deployment took a couple of days.

Overall, I would rate this solution an eight, on a scale from one to 10, with one being the worst and 10 being the best. The reason for this score is their online analytics and modeling, which enables users to model new things. I also appreciate the simplicity of the new dashboards.