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 desire to 'empower' employees to create or edit their own reports, Noetix is a great tool, though I am not particularly an 'empowerment' person. In my experience most people have enough work of their own, so to tell them they now have to create their own reports can cause problems. If someone is available, like I am, to create the reports based on user requirements, then the report can be shared with the user and they can make changes as needed. I have several users who use the same report over and over for slightly different applications, and they are happy to make the small alterations, but creating whole new reports can seem like a daunting task. I tell my users I don't want them to become frustrated. If they want to try on their own, fine, but don't waste more than half an hour, and if you start to get frustrated, stop and IM me. Ninety-nine times out of 100 I already have a report that will give them exactly what they need. I've done extensive training, and find it's quite easy for users to pick up
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 Noetix makes reporting easy. Users can combine vtables (the Noetix term for its views), add or delete columns, add filters or parameters, sort, add totals to columns, all from an easy to use interface. It comes with a very large number of already written reports for all areas of Oracle reporting, but it also allows for custom vtables to be written, for Oracle or any database, to expand the number of available reports. Noetix has an Excel add-in that is marvelous. It eliminates the need to run a report in the web application and export to Excel. The add-in can run very large reports, up to a million lines. Once a report is run in Excel, it can be saved, and then refreshed whenever needed. It's a really good tool. Noetix is flexible. Joins can be added to existing Noetix vtables and also to custom vtables, to give users a large amount of data configurations to choose from. It also allows users to create calculated fields to any report. Noetix is easy to administer. Users can be added or removed and grouped by the level of permission. Although, in our case, it validates against Oracle, the level of security is dictated by Noetix. 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 I like the fact that the output is standard, but I would like to be able to move columns around on the output screen, rather than having to go back to the editing screen, move the columns, then rerun the report. Drag and drop of columns would be nice on the edit screen. Currently if you add a column to a report, it automatically goes to the bottom. Relocation of the column has to be done a line at a time. I would prefer to be able to grab the field I want from those available, and drop it into the report where I want it. When adding a filter (or parameter), the available fields automatically come up in alphabetical order, but on the columns screen, they don't. They come up in the order they actually are in the query. That means, when creating custom vtables, to have the fields in alphabetical order, one must put them that way. It would be nice if Noetix put the fields in alphabetical order for the user. 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 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 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 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 I believe Noetix is much easier to use than either Crystal Reports or InfoMaker. When I worked with InfoMaker I used to say it took 5 minutes to get the data and 5 hours (and sometimes days) to make it look good. The same can be true for Crystal Reports. Noetix has a standard format, and most people export to Excel anyway. Who prints reports? So formatting is not all that important.
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 ScreenShots