Likelihood to Recommend Quick dashboards from
Google Sheets - Easier to do the graphs than in
Google Sheets - Operational dashboards to be used in the day-to-day work - It is good both for retrospective data and to do a pulse check of the current status - Better for not giant amounts of data and not multiple data sources. - If you need a lot of graphs to be displayed on the same page, it can be a bit glitchy during configuration (then the use works fine).
Read full review If you're already using Office 365, Power BI for O365 is an easy choice. Start playing around with the free version and then easily add individual Pro licenses with little risk. However, if you anticipate using this with many users, it can get expensive quickly.
Read full review Pros Filtering - you can filter across different dimensions and metrics to get a more specific "cut" of data Refreshing - data automatically ingests into Looker which allows reports to be updated and backfilled in real time Conditional Reporting - you can leverage Looker's reporting features to flag when a given metric or KPI falls below or above a specified threshold. For example, if you had a daily sales benchmark in a SAAS organization, you could use Looker to flag whenever daily sales falls above or below the benchmark Read full review Easy to make visual dashboards from SQL queries. Previously we had to use a third party application that had to run on a web server that was so complex to setup and run. PowerBI removes all that. Ability to control who/which group has access to each dashboard or report. Ties in well with the rest of the Office 365 ecosystem. Has many connectors to allow pulling data from various systems, both onsite (via gateway) or external (via APIs), and join the data to create a report/dashboard. Ability to show data but also export the data, if permitted. Easy to show PowerBI dashboards on SharePoint or on other websites via embedded code. Read full review Cons Looker is less graphical or pictorial which makes it less attractive Consumes a lot of memory when there are multiple rows and columns, impacts performance too At times when we download huge chunks of raw data from Looker dashbords, the time taken to prepare the file is enormous - The user fails to understand if Looker has frozen or if the data is getting prepared in the background for downloading. In turn, user ends up triggering multiple downloads Read full review Licensing: Currently, Microsoft has a fixed pricing model for Office 365 users, regardless of role/function of the user. Most organizations have a small number of "power users" that create usable content and many more "consumers" that simply view/run reports created by power users. Microsoft does not differentiate between these users, and thus the pricing limits organizations from large deployments of the software. Version incompatibility: Excel 2010 and 2013 workbooks are compatible with each other. However, workbooks created in 2010 that include PowerPivot databases must be upgraded to 2013 format to run in 2013. Subsequently, you cannot open these upgraded PowerPivot workbooks in 2010. This requires ALL users to be on the same version. Visualization: Excel charting with PowerPivot workbooks is adequate for many users. Power View also contains a number of GREAT visualizations, including animated bubble charts and a very flexible dashboard/report design canvas. However, compared to some of the other self-service BI solutions, it is still limited in its visualization capabilities. Read full review Likelihood to Renew We've been very happy with Looker so far, and all teams in the organization are starting to see its value, and use it on a frequent basis. It has quickly become our accessible "source of truth" for all data/metrics.
Read full review I will continue to recommend this suite to folks looking for a reporting and analytics solution, as I find in MOST cases, it's great at meeting almost every requirement I've been given by a multitude of clients across a range of industries. I've built Capacity Planning solutions that allowed end user input which was then submitted to SharePoint, Executive Dashboards, custom applications, simple analytical tools for teams to easily slice and dice data, and super simple reports as well as some very complicated ones. If you haven't seen the demos online, do a search, and see for yourself - this is a great BI suite! (I do not work for Microsoft, although I do consult out there from time to time. I do occasionally make a recommendation for a different BI reporting tool, but in general, find Excel can accomplish quite a bit for less money and in less time.)
Read full review Usability Looker is relatively easy to use, even as it is set up. The customers for the front-end only have issues with the initial setup for looker ml creations. Other "looks" are relatively easy to set up, depending on the ETL and the data which is coming into Looker on a regular basis.
Read full review We are satisfied with the functionality and capabilities of Power BI. Product is cost effective and full-fill the reporting requirements of the organization. You can perform most of the report level complex analysis with the help of DAX which makes Power BI very powerful analytic tool. Power BI for Office 365 has gone away and Power BI is the next evolution of it. Power BI comes with your Office 365 E5 subscription or you can purchase licensing for it separately.
Read full review Support Rating Never had to work with support for issues. Any questions we had, they would respond promptly and clearly. The one-time setup was easy, by reading documentation. If the feature is not supported, they will add a feature request. In this case, LDAP support was requested over OKTA. They are looking into it.
Read full review as of now there is strong community for Power BI, you can get solution for most of your problems from there. Also you can send your error to Microsoft as well. After every 15 days they release updates to overcome all the issues of defects.
Read full review Alternatives Considered Looker is an off-the-shelf, free tool for Google business users. Other than the internal cost of time to build, we had no costs to set up what we needed to do. Knowledge sharing internally and using templates greatly reduced this cost, making the overall cost very low.
Read full review Oracle was nice, super expensive to implement if it's not in use already. JobDiva is choppy and heavy on the system while does not give great reports.
Salesforce is good; remote access is good however their support is terrible
Read full review Return on Investment Allowing others to self-serve their own analytics and connect it to Looker simply and easily has helped unblock the central data team so they can instead focus on validated dashboards whilst stakeholders manage their day-to-day analysis themselves. Countless engineering hours have been freed up by not having to manage every user permission for each BI tool; we have a BYOBI approach; Bring Your Own BI Creation and management of a semantic layer (LookML =Looker Modeling Language ) allows peoples sandboxes and production databases to become clutter free. Minor adjustments, conditional fields, and even some modelling can all be done in LookML which doesn't need oversight or governance from the central data team. LookML, specifying drilldown fields and their sub-queries, as well as generally creating dynamic parameters with Liquid are all great features, but can have a steep learning curve. it may take some time to understand how to create this middle layer correctly, or even pose a risk of inheriting complex code from another source which can be unmaintainable if it becomes too big. Some level of governance is recommended if Looker is used by a large number of editors. Read full review As a Microsoft Partner implementing Business Intelligence solutions, Power BI has removed the barrier for our clients to begin the "BI journey". So often, projects get hung up in that early phase of procuring and installing/configuring expensive hardware and software. Just simply getting started and designing a beginning solution has allowed our clients to see results in 1-2 weeks using their data that might have taken months to achieve otherwise. One significant ROI example is process improvement. In many cases, individuals or teams are spending days each month gathering data from multiple sources for reporting to their constituents. We are reducing these times to minutes by automating many of the data collection and integration processes that were previously manual. Read full review ScreenShots