SubmitCore VS Looker

• Comprehensive Service Offering
  SubmitCore provides a wide range of digital marketing services including SEO, link building, and content writing, allowing businesses to consolidate their needs with one provider.
• Expertise and Experience
  The company has several years of experience in the digital marketing industry, which can benefit clients looking for knowledgeable and skilled service providers.
• Customizable Packages
  SubmitCore offers flexible packages and solutions tailored to the specific needs of different businesses, offering scalability and adaptability.
• Good Track Record
  Many clients have reported positive results from using SubmitCore's services, indicating a successful track record in improving online visibility and performance.
• Transparent Reporting
  SubmitCore emphasizes transparent reporting, providing clients with detailed insights into the progress and results of their SEO strategies.

Possible disadvantages

• Pricing Concerns
  Some clients might find the pricing of SubmitCore's services to be on the higher side, which could be a barrier for small businesses or startups with limited budgets.
• Customer Support
  A few users have reported that customer support could be more responsive, which can be a disadvantage when immediate assistance or problem resolution is necessary.
• Varied Results
  Like many SEO services, results can vary significantly between clients, sometimes not meeting the expectations of every business.
• Dependency on External Factors
  As with any SEO-focused service, the effectiveness of SubmitCore's strategies may be affected by changes in search engine algorithms and other external factors beyond the company's control.

• Powerful Data Modeling
  Looker uses LookML, a proprietary modeling language, making it possible to transform raw data into meaningful metrics and dimensions, providing deep insights without needing SQL expertise.
• Ease of Use
  Its intuitive user interface enables non-technical users to create visualizations and reports with relative ease, reducing the workload on data teams.
• Customization
  Looker offers extensive customization options for data exploration and visualization, allowing dashboards and reports to be tailored to specific user needs.
• Embedded Analytics
  Provides robust capabilities for embedding analytics into applications or portals, broadening the scope of data-driven decision-making throughout the organization.
• Real-time Data
  Supports real-time data analytics by querying live data, which ensures up-to-date insights and helps in making timely decisions.
• Integrations
  Looker integrates seamlessly with a wide range of databases and cloud data warehouses, including Google BigQuery, Amazon Redshift, and Snowflake.

Possible disadvantages

• Learning Curve
  LookML, while powerful, can be complex for beginners who are not already familiar with data modeling or SQL, resulting in a steep learning curve.
• Cost
  Looker can be expensive, especially for small businesses, as pricing is typically based on the number of users and the data volume processed.
• Performance
  Query performance can sometimes be slow, especially with complex data models and large data sets, which may impact the user experience.
• Customization Constraints
  While Looker offers great customization, certain advanced customizations may require significant expertise and time, posing a potential barrier.
• Limited Offline Capabilities
  Looker is primarily designed for online use, so it lacks robust offline capabilities, which can be a limitation for users who need access to data in situations without internet connectivity.

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Tracking SubmitCore since Mar 2021.

• edit home page to add folder section

  Then in the "foldername" you can have 5 folders, each one for each of the groups. This means that when group1 enters looker.com, his default page will be the "foldername", which contains group1folder (he cannot see the rest of the... Source: over 3 years ago

• Stars, tables, and activities: How do we model the real world?

  Even if you want to make Wide Tables, combining fact and dimensions is often the easiest way to create them, so why not make them available? Looker, for example, is well suited to dimensional models because it takes care of the joins... - Source: dev.to / almost 4 years ago

• dbt for Data Quality Testing & Alerting at FINN

  We take daily snapshots of test results, aggregate them, and send Looker dashboards to the appropriate teams. - Source: dev.to / over 4 years ago

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