Likelihood to Recommend We have to calculate most all Lab / Pilot / Proposals sizing and results. The automated calculations in [Excel4apps] is awesome, as once you are familiar with them, it is easy to quickly implement them when needed.
Read full review 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 Pros Easy to install and maintain. After the initial installation, there is little involvement by the technical administrators. Cloning production to a test environment does not require any additional setups unlike Oracle EBS which does. Loading data and reporting on this data is handled via EXCEL spreadsheets which is the "language" of our financial users. Read full review 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 Cons It is possible but difficult to retrieve data or set criteria from different module into a single report or retrieve. If it is more user friendly instead of having to create a complex formula to retrieve the data, this function will be utilized more often. It will be nice to have visual (graphs, etc.) report template available It is helpful if we can retrieve data for a range of date, instead of just YTD, PTD etc. and multi-year data all at once for comparison too. Read full review 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 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 Usability I am not a power user of Excel. So I find Exel4apps a friendlier version of the things that I could do on Excel and making it easier with a magic wand.
Read full review 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 Support Rating I have not needed support yet
Read full review 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 Alternatives Considered Excel4apps is more user friendly and can retrieve data much easier and in a nicer format than Jaspersoft.
Qlik Sense is useful and have more visual reporting and dashboard. However, it is usually used for higher level of analyses and review. Yardi is used for specific purpose, which is different than Excel4apps. Excel4apps can pull all the financial data from Oracle, including billing and collections.
Read full review 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 Return on Investment Increase team transparency Increased reporting Read full review 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 ScreenShots