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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Mediafly Intelligence360
Score 7.8 out of 10
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Mediafly Intelligence360, based on InsightSquared's solution acquired by Mediafly in 2021, is a sales analytics and development platform that also supports demand generation analytics and SaaS reporting. It is designed for providing insights into sales processes, closing rates, pipeline and revenue forecasts, calculating KPIs, and market hiring processes.
I do find Looker to be more user-friendly and the UI is really nice for sharing with others who are not data minded. It is very clean and easy to use. Though, it is very expensive which is a downside.
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).
InsightSquared has been a great tool for quick reference dashboards for the whole organization and teams within the sales org. It presents a standardized individual dashboard for all the reps on the team. It doesn't fare well when trying to deep dive things like campaign and lead source inquiries, as well as activities associated with that opportunity.
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
The dashboard is amazing: easily customize your view so you can view all the data that is most relevant to you at a glance
Sales metrics: see how you are comparing to your peers, from every possible angle. InsightSquared gathers all the data you need to know, want to know, and didn't even know you wanted!
Predictive statistics and the likelihood of a deal to fail or succeed is quite useful in a sales environment where time efficiency is key. Need to know what deals to focus on? You can see exactly what deals need more TLC, which ones are likely to close, and which ones to stop wasting time on.
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
I know this is something they have in process, but I would love to be able to customize reports myself. The support team is always super responsive and makes sure that we're taken care of. But, it would be great to just be able to log in and change the small things myself.
I recently downloaded the InsightSquared app to my phone, and I'd like to see more functionality there. Currently. You are only able to see dashboards that have a already been created.
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.
InsightSquared has been hugely beneficial to us, and to me in particular as someone outside of our sales team to gain insight into how our sales team and company is performing and how our overall health is. They offer fantastic customer support and have a great community to assist in your implementation of the product.
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.
InsightSquared is easy to use overall. Running reports and creating dashboards is quick and easy - drag and drop functionality. All reports have multi-filter options allowing you to drill down into your data. Scorecards for employees help show how quickly a rep can start selling after they join your team. Activity ratios provide insight into what it takes from a KPI standpoint to close a deal.
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.
InsightSquared has a very responsive team, and always willing to help with reporting needs which are not able to be completed in house. They do offer a professional services team at an additional cost, so if your reporting is very complex, or you have a team that is continuously changing the type of metrics they require as a business, their support team will be an invaluable asset for you.
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.
I was not involved in our purchasing of this platform, so comparing it is difficult. This being said, it's most similar to constantly running reports in Salesforce, probably. SFDC offers more flexibility, obviously, but InsightSquared offers better visualization, less report updating, and more features dedicated to making analytics more enjoyable. It's worth the cost of the platform to save your admin time in reporting.
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.
