Looker

What differentiates Looker from other similar products?

The best thing about Looker which acts as USP is that it never breakdown or slows down while working and is quite trusted by peers and users. The data visibility has improved significantly with looker insights due to its real time data refresh feature which provides optimum data visibility and gives real time embedded data analytics for decision making by organizations. It is one of the most stable and high performing insights delivering platform with wider peer recommendations and greater uses cases in public domain.

What is your favorite aspect of this product?

Data visualization experience has boosted significantly after introduction of Looker in our business ecosystem and now data analytics team feels confident and updated with data metrics and its performance real time. It helps in making better decision making practices amongst the decision makers. The LookML feature is the most talked about analytics function where data teams customize data feeds and manage the dashboards on their own with improved visibility and data insights give clear workable actionable.

What do you dislike most about this product?

No problem or issue is reported about the application so far and we are absolutely delighted with the working on the application and would continue with Looker for longer period of time owing to its real time data refresh functionality and providing data insights 24/7

What recommendations would you give to someone considering this product?

It is one of the most trusted applications offered by Google Cloud Platform with varied kinds of enormous real business use cases for enabling Bi modelling and improving data visualization and analysis. I would urge everyone to go for trial version of Looker first and understand the utility functions and used cases as per your business case scenario and fetch decision making insights

What differentiates Looker from other similar products?

Looker provides autonomy to your decisions having a variety if tools available to build your superior data analytics tool. It has all necessory engineering tools for you to access data and process it in reliable manner. I would say looker has centralised data governence all mesh in one place with combining with tools of efficient security and data leak prevention.

What is your favorite aspect of this product?

It is best for data visualisation and data exploration. Gives tools for embedded applications. It organically fit google data plex and have options for optimisation of consumed resources.

What do you dislike most about this product?

Nothing specifical all within expectations. Probably use of calculated fields and model templates creation.

What recommendations would you give to someone considering this product?

If you have infrastructure in Google the Looker Studio is organical choice for you to build your business intelligence, reporting and metrics set up as business approach.

What differentiates Looker from other similar products?

Our organization's management and strategy team needs to review the daily data on clicks, impressions, and buyer engagement to keep track of the GMV impact. We use Looker Studio to obtain this information on a daily basis.

What is your favorite aspect of this product?

The interface is user-friendly and flexible, allowing us to choose from a wide range of fonts and colors. Additionally, there are several options for presenting data visually, and it is easy to update information from various sources.

What do you dislike most about this product?

One of the drawbacks of Looker Studio is its limited capability to handle large datasets efficiently. When working with extensive data, the platform tends to slow down, which negatively affects productivity during crucial hours. As a performance marketer, I frequently need to work with substantial amounts of data, and this performance limitation significantly impacts my workflow.

What recommendations would you give to someone considering this product?

If you are dealing with large datasets, Looker can be a great tool to handle it. However, it is worth noting that if you have complex data models or require advanced analytics, you may want to test Looker's capabilities with your specific data. By doing so, you can ensure that it can deliver the expected results and meet your business needs. It is always a good practice to test any tool's capabilities before implementing it into your workflow to optimize your data analysis process.