Microsoft Power BI is a visualization and data discovery tool from Microsoft. It allows users to convert data into visuals and graphics, visually explore and analyze data, collaborate on interactive dashboards and reports, and scale across their organization with built-in governance and security.
N/A
Treasure Data
Score 9.0 out of 10
Mid-Size Companies (51-1,000 employees)
Treasure Data is an enterprise customer data platform (CDP) that reclaims customer-centricity in the age of the digital customer. It does this by connecting all data and uniting teams and systems into one customer data platform to power purposeful engagements.
All others apps are enablers and Microsoft Power BI is the visual that end user sees which often adds more value to the end user to make strategic decisions from this. All are equally great but Microsoft Power BI is the end result
Microsoft Power BI vs. Tableau Power BI cheaper and works well with Microsoft tools. Tableau has better visuals but is costly. Microsoft Power BII vs. Looker Looker is good for big data, but Microsoft Power BI is easier to use. Microsoft Power BI vs. Qlik Qlik is fast for big …
Microsoft Power BI provide a user friendly in many ways to analyse the data and visualization of the data .Stacking makes the works easier easily attach the table ,chart row and column through the various available tool ..it also reduces the work part and manpower mechanically …
Microsoft Power BI is more flexible and it requires less effort in order to create a working environment. The results have an attractive and customizable display. The model is a star schema therefore it do not require specific database adaptation. Excel and csv files could be …
Microsoft Power BI is free. If I didn't want to create a custom platform (i.e. my organization insisted on an existing platform that I *had* to use), I'd use Microsoft Power BI. For any start-up or SMB, I'd just use Claude & Grok to build it quickly, also for free. Would …
Microsoft Power BI is easier to learn, a lot of examples on YouTube, internet documentation books helps to the implementation and personalization of the dashboards easier to use than other platforms.
While excel can be useful for a very quick data dump, Microsoft Power BI is able to bring that data to life, and show trends and the actual story of what is happening. Microsoft Power BI is the ultimate display tool, and allows us to share information quickly to the CORRECT …
Compared to this tool, Microsoft Power BI doesn't involve heavy coding and provides user friendly interface to visualize data. Microsoft Power BI reports can be shared and published without exposing your source code. Also, the reports are interactive providing drill down …
Power BI is much simple to use, and more modern than BusinessObjects, which has now been discontinued. It costs much less to license than Tableau which is perhaps more niche and designed better. It is also much more powerful for data analysis than excel, smartsheet, airtable, …
Some of the strengths are 1. User-Friendliness 2. Self-Service BI (Caters to all levels of the employees 3. Cost-effective. 4. Easy integration with Microsoft Suits. 5. DAX Calculations 6. Familiar Interface like traditional Excel. 7. Easier Self-Service platform for …
It's got a larger user base and seems better supported. Personally it feels like alot more work getting comparable results from Tableau. Microsoft Power BI will be WAY easier to work with all your various data sources, if you are working in an environment with M365 already. …
After several years using Google Looker Studio and BigQuery, Microsoft Power BI is a step-up in terms of visualizations. It is also much more powerful, leading to less errors and has a more intuitive interface. Looker studio has a focus on google analytics whereas Microsoft …
NA - did not use any other software, yet. Happy with the services and features provided by Microsoft Power BI which helps us navigate through the client requests on a daily basis while also providing actionable insights / solutions with maximum efficiency and that too in a …
Each has a different function. I think Microsoft Power BI is easier to use than Tableau and cheaper but SQL and databricks have so much more versatility
I prefer Power BI because of its affordability and fewer complicated tools than Tableau. It's easy to use and compatible with other Microsoft products, which are mostly used in the IT industry. It's not limited to only one platform like Looker Studio, which is mostly used in …
Microsoft Power BI is more flexible and can also handle more complex reporting scenarios. While Microsoft Excel is a great tool for analyzing data building visuals is not what it is made for. It is complicated to create Excel reports that will be interactive as a use wants to …
Being Microsoft environment it is extremely easy to interconnect the application with other Microsoft tools, such as power point or excel. On top of that, also communication through Microsoft teams is enabled which can result in very good collaboration and exchange of feedback …
We actually chose both Power BI and Quantum Metric. We use them for different things, but they are very similar tools. Quantum does a good job of integrating with our website and app traffic, whereas we use Power BI for data analysis and importing data sets for further review. …
We have used Microsoft Power BI for almost seven years. When looking for a reporting platform, remember that you are about to make a long-term choice. Moving reports to another system isn't easy. If you have, for example, more than 100 reports, the move to a different platform …
Both Tealium and Evergage are mostly focused on online sources. They don't have as easy or robust data model capability to ingest CRM, e-commerce, or offline data. Bluevenn has good identity resolution like TD, but the Unify data processes/model are not exposed to the customer …
We selected Treasure Data because we felt they were the best fit for a publisher as diversified as Penske. Because we have so many lines of business and integrated systems, we needed a product that had an extensible framework and was not tied to concrete workflows.
Treasure Data is a leader in the CDP space with a very easy-to-use platform for engineers, the ability to customize, customer success and investment in our business, and the ability to provide value and return on investment.
Treasure Data seems to be more flexible and scalable compared to Lytics at that time (early 2019). Our possibilities to adapt the platform to suit better our complex business environment (global, multi country, multi brand) were also a positive point. And finally, their …
We chose Treasure Data for the supreme customer service and lack of hidden costs. We don't need to manage any infrastructure or scale anything to meet customer demand. Treasure Data handles everything and makes it easy for us to integrate and focus on the tasks at hand. There …
Treasure is a more centralized and focused platform than Salesforce. Salesforce has many solutions that they seem to piece together in order to create your desired stack. Treasure integrates very well with other 3rd party technologies and you also get a more personalized …
Customer Data Platform powered by TD provides details on customer journey & individual mapping as well. GA provided aggregate level data and not the customer details. We can focus in unknown customers as well using cookie data using CDP. Custom attribution model can be created …
This is the first big data environment that I have used for marketing purposes. But Treasure Data's infrastructure could allow any kind of business to be managed in this platform--that's why this is very interesting. It's not only a consumer data platform, it's a big data …
More flexible in terms of capability, better DEVOPS (though still not ideal), large and better out of the box features/connectors, better UI, cost, integrated audience studio and active data layer (real time access data)
I did/do think that Adobe Analytics is a good tool that helps bring in all data. I really think the big point with the tool is for metrics and de-duping across media campaigns. Treasure Data is definitely much more than that. You do get to see how all of your campaigns 'play' …
Unfortunately, I was not apart of the decision to onboard Treasure Data. I was very new to this space when I inherited this tool and initiative on my team.
Based on my experience, the most striking difference between the two platforms are the way their data models are organized. Agilone (now part of Acquia) has a very hard/strict requirement for integration with the source systems as we need to conform/adhere to their …
There is a limited amount of human resource in the market who has knowledge in CDP. Treasure Data is simple and easy to navigate so that a newbie might find it easy to grasp its working concepts and initiate performing on the same. Whereas Tealium is more suited for a person …
Treasure Data was also chosen before I arrived at the organization. Also, I'm not person who's in charge or writing the queries which means that I let someone know what I need to use the software for and they let me know if Treasure Data is best suited. However, that being …
Microsoft Power BI is great for sales tracking, financial reporting, and real-time operations monitoring. It integrates data from multiple sources, creating interactive dashboards for better decision-making. However, it's less ideal for real-time big data processing, offline access, or when deep customization is needed. It works best for structured reporting but struggles with highly complex data models.
Any time you need to process and store very large volumes of data at scale, Treasure Data will aways be at the forefront of my mind. Especially if the data being handled is constantly changing or evolving, rigid schemas just wont do. Treasure Data has the ability to adapt as your product needs change over time. Having the storage and processing flexibility is a huge win.
CDP provides a unified view of data from all touchpoints in the customer journey until a single customer uses the service. This feature is very helpful in making service decisions and direction.
It provides a variety of extensions to bring your data together in one place and helps you do this easily.
Kits provided by Treasure Box provide basic but helpful methods for further development of services.
Pricing is a bit of a black box. We are currently priced on split hour usage and some spikes come out of nowhere and leave us seeking answers (and sometimes finding unsatisfactory ones).
Some jobs will fail, causing workflows to be interrupted due to a product change or a one-time product related issue. We usually contact Support in these cases, and while they are incredibly responsive and helpful, it would be great to have more proactive communication.
Treasure's UI leaves us wanting more in terms of organization and controls, especially as we scale and grow the number of data sources, queries, and workflows.
Microsoft Power BI is an excellent and scalable tool. It has a learning curve, but once you get past that, the sky is the limit and you can build from the most simple to the most complex dashboards. I have built everything from simple reports with only a few data points to complex reports with many pages and advanced filtering.
Because treasure data is a great platform with a great support team behind, it's a scalable solution that deals well with huge amounts of data every day and has a huge catalog of integrations that can be easily use to download data from several platforms, like aws s3, redshift, google bigquery.
Takes a little bit to get used to it. Not natively intuitive but fairly straight forward to pick up. Also docking it a few points because you can create a really clean, simple UI in Claude very quickly that's faster than building all of this yourself in Microsoft Power BI.
If you are a data person, you will likely understand the product and how to use it well. We did find that some of our queries run into memory issues though. If you are a marketer and want to build easy audience segments, I am not sure how easy it will be for you. We are still working through this.
As treasure data has a 24 hours support, every time we has big issues that impacts the zones, we do have immediatly support from the treasure data team, so I would say that we do not have any issues with availability
Since treasure data has started having a huge amount of data, sometimes we do have problems with the workflows logs because we generate a lot of then. But with integrations I have not to complain, its really easy to integrate with other platforms.
It is a fantastic tool, you can do almost everything related with data and reports, it is a perfect substitutive of Power Point and Excel with a high evolution and flexibility, and also it is very friendly and easy to share. I think all companies should have Power BI (or other BI tool) in their software package and if they are in the MS Suite, for sure Power BI should be the one due to all the benefits of the MS ecosystem.
The technical team has a good hold on the nuances of the data related to our organization. I have found the online technical support on their site quite responsive including the L1 support. In cases where the L1 team isn't able to resolve, I have found they are prompt in getting the product team's input to get a quick resolution.
I wasnt here at the training in the start, but I had a few training with treasure data for a few functionalities, and they provided me god explanations and great documentations, eve if the project were in beta.
All others apps are enablers and Microsoft Power BI is the visual that end user sees which often adds more value to the end user to make strategic decisions from this. All are equally great but Microsoft Power BI is the end result
Both Tealium and Evergage are mostly focused on online sources. They don't have as easy or robust data model capability to ingest CRM, e-commerce, or offline data. Bluevenn has good identity resolution like TD, but the Unify data processes/model are not exposed to the customer to modify or develop data load workflows.
We're still early in the adoption process at this company, but we've illustrated how bad data keeps us from being more productive. ~25% of a team's work week was dedicated to effectively cleaning up entries, but it was always seen as a normal to them.
When there are Treasure Data updates, there might be old functions that are deprecated or existing functions which no longer work as before --> this may have impact on existing workflows/queries
As many developers are working on the same environment, the jobs are queued because there is a limited amount of computation cores available --> if we want to increase it, our client needs to pay for more cores
As data are increasing, some workflows are too expensive and need to be rethought / made more efficient --> this means re-designing existing workflows and also requires constant support from Treasure Data which analyzes the queries and identifies points of improvement that allows client to pay less