Looker is a BI application with an analytics-oriented application server that sits on top of relational data stores. It includes an end-user interface for exploring data, a reusable development paradigm for data discovery, and an API for supporting data in other systems.
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Zendesk Explore
Score 7.8 out of 10
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Zendesk offers Explore, a business intelligence and customer analytics tool which integrates with the Zendesk suite featuring ticket analytics, custom fields, dashboards, and other features. Zendesk is migrating customers of the BIME analytics product, which is approaching end of support, to Zendesk Explore in 2019.
I selected Zendesk Explore only to provide an easy and quick access for my managers and supervisors regading metrics and volume trends. Is not the most flexible nor complete data visualization tool, but works well for day-to-day follow ups. You need to use another tool if you …
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).
Compared to other analytics functions of other Ticket Management System, Zendesk Explore is the easiest to learn. Moreover, the learning curve is high. Once you pick up the fundamentals, you will be able to create all types of analytic reports. In addition, if you know basic coding or SQL, you can create your own metrics and attributes to capture extremely specific elements such as the tickets that contain a certain word or etc.
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
As with most "suite" products, if you already use other Zendesk features (Chat, Talk, etc), then Zendesk Explore adds an extra facet to the customer experience. The more we know about our clientele, the better we can understand/anticipate their needs.
I like that we can get as in-depth as we feel is necessary. For example, is just one customer having an issue? Or are many experiencing a similar problem? We can better rack this type of trend using Explore.
Our team can dive deep into the data based on exactly what we're looking for. If the marketing team wants a certain kind of segment, we can give them that info. If we want to sort by date or another set of parameters, we can do that as well.
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
Flexibility: the platform is somewhat limited for the creation of "non-standard" metrics
It is complicated to create dashboards with no previous Zendesk Explore knowledge
The reliability of Zendesk Explore has not been great: we had at least 5 situations when the dashboard was not showing data and had to approach Customer service for support
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.
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.
As previously mentioned, Zendesk Explore is easy to use. There are lots of materials in Zendesk Community. In addition, the live support will also help a lot in learning Zendesk Explore, especially for beginners. Zendesk Explore might be difficult at first to learn, but anyone could learn it in just 7 days. Once the fundamentals are locked in, moving from that place to becoming an amateur at Zendesk Explore is extremely easy. Lastly, if you know basic coding and SQL, you can be a pro at it already.
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.
Support for all of Zendesk has exceeding my expectations. This company will always get a 10 out of 10 in my book. Any question you have they make sure you have the answer plus a step-by-step guide on how to do each step so you are set up for success!
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.
Zendesk Explore is more user friendly and the software plus maintenance cost is less. The report section is more detailed and no lag while creating report for a large data source. The report segments and formats are editable which make it more convenient to make a report according to a requirement for an individual.
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.
