Looker Data Visualization

Looker is distinguished from the various data visualization tools in the marketplace by allowing its users to create their graphics and visualizations. We can also create all sorts of templates for exploring and collaborating with a minimum of SQL knowledge while retaining key data distinctions. Looker can intelligently manage data on the web and handle various variations, such as Hive, Vertica, BigQuery, and Spark. In this post, let us know more about Looker data visualization.

Looker Data Visualization

Introduction to Data Visualization

Data Visualization means the graphical representation of information and data with the help of visual elements like graphs, maps, charts, and diagrams. Data Visualization tools will make us understand the data more easily and promptly, and it helps us to see and get a picture of new trends and patterns in data. With visual representation, it is easy to communicate information and can get our things faster. Data Visualization technologies and tools are essential in the fast-paced technological world to evaluate huge amounts of information.

This blog talks about Looker Data Visualization in great detail. It touches upon the basics of Looker as a Data Visualization tool, the different use cases of Looker Data Visualizations, and the steps involved in setting up a project in Looker. The article also covers the challenges faced by Looker Data Visualization.

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Types of Looker Data Visualizations 

Looker has many Visualizations which are used to describe your data. Every Visualization is different, and we can customise it according to our needs and styles. Data Visualizations make a huge impact on understanding data and help in making a clear decision. Looker Data Visualizations include bar charts, pie charts, line charts, tables, column histograms, heat maps, and box plots.

Looker has many Visualizations you can use to make sense of your data. Each type of Visualization has different settings that you can use to customise its appearance. The links below provide information about each Visualization and its settings.

Sunburst:

Sunburst charts are open-source tools used to showcase hierarchical data structures. They are visually fascinating charts, and the data is expressed in a good-looking way in the form of a radial representation.

Collapsible Tree Diagram: 

Collapsible Tree Diagram interactively visualises hierarchical data. It represents a tree and contains a root node with branches like other nodes, and nodes will enlarge and reduce according to our needs. It is an open-source tool. 

Liquid Fill Gauge: 

A Liquid Fill Gauge is an open-source tool used to determine the growth towards a goal. We can customise the font, gauge colour, animation of the waves and colour of the liquid. 

Chord Diagram: 

In a larger dataset, the connection between the two items can be efficiently visualised in the Chord Diagrams. It is also an open-source tool. In Chord Diagrams, we can characterise the movement from two different points. 

Looker Data Visualizations Use Cases

use cases

Thanks to eCommerce data analytics, businesses now can access more data than ever. Looker comes equipped with powerful tools that help discover profitable insights and can create opportunities to grow your business.

Looker Data Visualization: eCommerce

ecommerce

Thanks to eCommerce data analytics, businesses now can access more data than ever. Looker comes equipped with powerful tools that help identify economical insights and can create opportunities to grow your business.

  • eCommerce analysis 

Looker provides tools to track eCommerce KPIs (key performance indicators) like shopping, conversion rates, revenue and customer values. Tools help optimise sales performance, increase online sales with predictive modelling, identify customer trends, and update prices depending on demand and supply.

  • Customer trends & behaviour

Looker Data Visualization helps customers create profiles about their order history and shopping nature and learn about their behaviour and interest. It identifies repeat purchase patterns and frames out new promotions and marketing approaches that drive the business.

  • Category & brand management

With category performance, you can easily find out the top performers in different product categories, utilise the information, and take advantage of it in purchasing decisions. With BI data, you can increase profits by making promotions depending on when and where to run. It improves inventory management and provides real-time insights about inventory. In that way, you can't run out of stocks which are high in demand.

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Looker Data Visualization: Healthcare

healthcare

With Looker, you can Analyse claims with healthcare stakeholders, doctors, insurance companies and patients and increase efficiency in the above categories. It supports HIPAA compliance. Looker has gained an advantage in creating better developments to tackle COVID -19 like diseases.

  • Efficient planning with Qventus:

Qventus is an AI-enabled platform which assists hospital teams in making better functional decisions in real-time. Looker with AI software has customised the 'Post Acute Care Utilisation tool and PPE demand planner' to provide the best planning and patient care.  

  • Effective and proactive monitoring by Commonwealth Care Alliance (CCA)

CCA is a non-profit, community-based healthcare organisation that provides healthcare for high-needs individuals by maintaining quality and health outcomes while reducing overall costs. CAA uses Looker and Google Big Query to check and help patients suffering from COVID-19. CCA helped their members by providing the latest facts and guidance.

  • Improved Digital Care with Force Therapeutics: 

Therapeutics, an episode-based patient engagement research network and platform, enhances care by simplifying and strengthening the relation between patients, physicians and Care Teams. By providing specialised and secure insights to patients, surgeons and administrators, they worked on modifying care and made it a more effective process. Looker is equipped with embedded analytics in its products to deliver scalable and secure insights and enhance patient care.

  • Transition to Value-Based Care: 

Alternative Payment Models (APM) are transforming healthcare, but we must analyse the metrics and their performance. Using Looker's flexible data platform NewWave Telecom and Technologies, Inc. delivered metrics and dashboards for new APM in a short span of time. Doctors and administrators easily understand patient performance and detailed data with the help of the Centres For Medicare and Medicaid Services (CMS).  

If you want to Explore more about Looker? then read our updated article - Looker Tutorial

Looker Data Visualization: Gaming

Looker Data Visualization helps you to develop games and gain accurate insights. You can have this by understanding game analytics and boosting your revenue. 

  • Grow your gameplay metrics

With gaming analytics, you can track your KPIs, find important key insights, and be able to make better decisions. You can optimise campaigns and have a different look at campaigns in a creative way. The main key metric for gaming is Ad revenue, and automated bidding will optimise instals and increase your revenue. Find out the stability between retention and monetisation, which is required for better player engagement.

gaming

  • Gameplay Experience Optimisation

If you identify simple retention metrics like reducing churn will optimise gameplay and decrease quits. Monitor your KPIs for insights that balance difficulty and the game economy and content improve user experience in gameplay by analysing user behaviour and regularly updating the games.

  • Unlock customer insights

Create sustainable growth by being outlandish in the market and finding your customer base. Mix up all the revenue sources and get a birds-eye view of every player's lifetime value (LTV) at any point of their lifecycle. Prepare a cohort analysis which shows updated trends so that you can make changes in the game to improve the gameplay.

Related Article: Looker Analytics

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Looker Data Visualization: Retail

retail

Looker is a Cloud-Native Enterprise BI Platform where retail relies on data to optimise their decision-making process. Data can affect inventory control, trend forecasting, and marketing strategy and influence customer behaviour mainly in the progressive digital space of eCom.

  • increase the customer lifetime value (LTV)

With the help of Looker's customer support analytics, we can improve customer satisfaction by providing quality customer service, response time and results. Looker assists businesses in carefully forecasting and nullifying potential issues, ultimately decreasing service problems and improving brand loyalty. Retail analytics will identify losses and upsell opportunities.

  • Develop an omnichannel merchandising strategy

With Looker's customer-centric platform, we can create a unified shopping experience, get a clear picture of customer behaviour, and improve the shopping experience. We can understand purchasing patterns in various channels. By using built-in technology in Looker, retailers can understand customer purchasing behaviour. We can maximise sales by making multiple data points across different channels into a centralised location and compiling them into actionable insights to drive business.

  • improve operations and supply chains

With Looker's tracking merchandise movements, retailers can track their products from source to customer. You can gain operational efficiency by delving into minute-to-minute insights. By tying customer feedback with supply chain issues, you can enhance customer feedback and make profitability

Challenges of Building Visualizations in Looker

In the article, you have gained some basic knowledge of Looker's Data Visualization in various sectors. Looker Data analytics and Business Intelligence tool has created a benchmark in the industry. Looker faces some challenges but has created its place; some of the challenges are:

  • It requires a lot of effort to maintain on-premise servers
  • Looker's API face issues like authentication and is a complex tool to use
  • Datasets in Looker are huge and consume time while processing data.

 Top 30 frequently asked Looker Interview Questions !

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Conclusion

In this blog, we provided necessary information about Data Visualization, from basics to tools. Hope you get an idea about Looker. At HKR Trainings, we provide quality and standard information to our readers. We provide online Training for Looker Data Visualization at a discounted price, check out and enroll in a trending course and enhance your career.

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Gayathri
Gayathri
Research Analyst
As a senior Technical Content Writer for HKR Trainings, Gayathri has a good comprehension of the present technical innovations, which incorporates perspectives like Business Intelligence and Analytics. She conveys advanced technical ideas precisely and vividly, as conceivable to the target group, guaranteeing that the content is available to clients. She writes qualitative content in the field of Data Warehousing & ETL, Big Data Analytics, and ERP Tools. Connect me on LinkedIn.

Looker Data Visualization FAQ'S

To create Visualizations in Looker, follow the steps.

  • Create and run your query.
  • Click on the Visualization tab.
  • Select the type of Visualization that is needed for your data
  • Click on edit to configure the Visualization option settings like choosing positions, naming, type of each data series, arranging chart axes, and modifying the chart colour.

Looker is a powerful (BI) tool which helps businesses to develop insightful Visualizations. It offers a user-friendly workflow, is completely browser-based (eliminating the need for desktop software), and facilitates dashboard collaboration. Among other benefits, users can create interactive and dynamic dashboards, schedule and automate the distribution of reports, set custom parameters to receive alerts, and utilise embedded analytics.

A Looker dashboard is a collection of queries displayed as Visualizations on a screen. Users can apply alerts to tiles, set up dashboard delivery schedules, alter filters on dashboards, and download a dashboard’s data, among other things.

Step 1 :Click option Explore and select the gear menu.

Step 2: Choose Save.

Step 3: Select As a Look to open the Save Look menu.

Step 4 : In the Title field, enter a new title

Step 5: In the Description field, you can enter a description of the Look.

Step 6 : In the Folder field, check whether the current folder is the desired destination, If you want to save to a different folder, navigate to the folder where you want to save your Look

Step 7: Save your Look. in two ways

To save your Look and return to the Explore page, select Save.

To save and view your Look, select Save & View Look.

 

Looker is a business intelligence (BI) software and big data analytics platform which helps you to analyse, explore and share real-time business analytics with ease.

Looker is one of the best data Visualization tools where you can work upon. Currently we are offering a discount on Looker, get enrolled now and learn things from well knowledged trainers where you can learn everything from bottom to high end in a simplified way.