Modernizing Enterprise Data Ecosystem with Looker BI (Google Cloud Platform)
Looker BI modernizes enterprise data ecosystems by providing intuitive and real-time data analysis, allowing organizations to gain valuable insights and make informed decisions. With Jade’s Looker BI services, you can take Google data analytics to the next level.
Business intelligence (BI) is becoming increasingly important for organizations to make data-driven decisions and gain a competitive advantage. The BI landscape of companies can vary depending on the industry, size, and organization goals. However, common elements can be found in many BI landscapes, including data sources, data warehouses, BI tools, analytics capabilities, data governance, and business users.
This blog post will provide an overview of the BI landscape in companies and how Looker BI of the Google Cloud Platform can be utilized to modernize data ecosystems, enhance customer experience, and undertake a multi-year migration effort.
Why should You Choose Looker BI for Your Data Modernization
Looker BI is a business intelligence and data analytics platform that allows organizations to easily explore and analyze their data. It provides a user-friendly interface that allows users to create reports and dashboards, and perform ad-hoc analysis on their data. Looker BI was acquired by Google in 2020 and is now part of the Google Cloud Platform.
Looker BI help modernize data ecosystems by connecting all data sources, defining a data model, creating customized dashboards and reports, sharing data and insights, monitoring data and performance, and continuously improving data ecosystems. In this blog we will also discuss how Looker BI can help organizations make data-driven decisions to enhance customer experience. Also, we will try to understand how Looker BI helps in creating personalized experiences. Lastly, Looker BI can be used for a multi-year migration effort, including lift and shift or process reengineering approaches to minimize disruptions and ensure a smooth transition.
Overview of the Business Intelligence Landscape in Companies
The general business intelligence (BI) landscape of companies can vary depending on the industry, the size of the company, and the specific needs and goals of the organization. However, some common elements can be found in many BI landscapes:
Data sources
Companies typically have a variety of data sources, such as transactional systems, social media platforms, and customer feedback, which they use to collect and store data.
Data warehouse
To support BI activities, companies often have a data warehouse, a centralized repository that stores data from multiple sources in a format optimized for querying and analysis.
BI tools
Companies use various BI tools to analyze and visualize data, such as dashboards, reports, and scorecards. These tools can help business users to gain insights from the data and make informed decisions.
Analytics capabilities
Companies may also have advanced analytics capabilities, such as predictive modeling and machine learning, which can help them to identify patterns and trends in the data.
Data governance
Companies must establish policies and procedures to ensure data is accurate, consistent, and secure. This includes data quality, metadata management, and access control.
Business users
Finally, companies need skilled business users to interpret and use the data to make informed decisions. These users may include analysts, managers, and executives.
Overall, the BI landscape of companies is constantly evolving as new technologies and trends emerge. Companies that can effectively leverage their data assets and use BI tools to gain insights will be better positioned to succeed in their respective markets.
How to Modernize Data Ecosystem with Looker BI
Modernizing a data ecosystem involves updating the tools and processes used to collect, store, analyze, and visualize data. Looker BI is a business intelligence tool that can help modernize a data ecosystem by providing a centralized data analysis and visualization platform. Here are some steps to modernize your data ecosystem using Looker BI:
Connect all your data sources
Looker can connect to various data sources, including databases, spreadsheets, and cloud storage. Connect all your data sources to Looker to create a single source of truth.
Define a data model
Looker allows you to create a model that defines how your data is organized and connected. This will make it easier to create reports and dashboards later on.
Create dashboards and reports
Use Looker to create customized dashboards and reports that provide insights into your data. Looker’s drag-and-drop interface allows you to easily create charts, graphs, and tables tailored to your needs.
Share data and insights
Looker makes sharing your data and insights with others in your organization easy. You can share dashboards, reports, and even individual visualizations with others.
Monitor data and performance
Looker’s monitoring capabilities allow you to track data and performance in real-time. You can set up alerts when certain metrics reach a certain threshold or when data is updated.
Continuously improve
Looker provides insights into how your data is used and your reports and dashboards are performing. This information helps you improve your data ecosystem and make better data-driven decisions continuously.
Overall, Looker BI can help modernize your data ecosystem by providing a centralized data analysis and visualization platform, allowing you to create customized dashboards and reports, share data and insights, monitor data and performance, and continuously improve your data ecosystem.
Enhanced Customer Experience with Looker BI
Looker BI helps enterprises with data-driven decision-making to enhance the customer experience in the following ways:
Collect and organize customer data
Looker can integrate with various data sources such as CRM, customer feedback tools, and social media to collect customer data. This data can be organized into a single source of truth through Looker’s data modeling capabilities.
Analyze customer behavior
Use Looker to analyze customer behavior and identify patterns and trends. This can help you understand how customers use your product or service, what they like and dislike, and what factors influence their decision-making.
Create customer personas
With Looker, you can create customer personas based on demographics, behavior, & preferences. This can help you tailor your products and services to meet the needs of different customer segments.
Track customer satisfaction
Use Looker to track customer satisfaction metrics such as Net Promoter Score (NPS) and Customer Satisfaction Score (CSAT). This will help you understand how customers perceive your product or service and identify areas for improvement.
Monitor customer feedback
Looker can integrate with customer feedback tools such as surveys and social media monitoring tools to monitor customer feedback in real time. This can help you identify emerging trends and respond to customer issues quickly.
Create personalized experiences
Looker’s analytics capabilities can be used to create personalized customer experiences. For example, by analyzing customer behavior and preferences, you can recommend products or services tailored to their needs.
Looker BI can help organizations make data-driven decisions to enhance customer experience by collecting and organizing customer data, tracking customer satisfaction, and monitoring customer feedback. Based on that, they can analyze customer behavior, create customer personas, and provide personalized experiences.
Lift Shift and Process Reengineering for a Multi-Year Migration Effort with Looker BI
Organizations may consider the lift and shift approach or process reengineering approach to minimize disruptions and ensure a smooth transition when undertaking a multi-year migration effort with Looker BI. Here’s a breakdown of both approaches:
Lift and shift approach
This approach involves moving the existing data ecosystem and Looker environment to the cloud without significantly changing the existing processes. This can be a quicker and less risky option since it doesn’t require extensive changes to existing processes but may not take full advantage of the benefits of the cloud. To implement this approach, the following steps can be followed:
- Assess the current data ecosystem and Looker environment to determine what components can be migrated as-is to the cloud.
- Identify changes that need to be made to the existing components to ensure compatibility with the cloud environment.
- Migrate the existing data ecosystem and Looker environment to the cloud using a phased approach, testing each phase before/while moving on to the next.
Process re-engineering approach
This approach involves reengineering the existing processes to take advantage of the cloud and Looker BI. This approach can be more time-consuming and require more resources but can result in more significant benefits in the long term. To implement this approach, the following steps can be followed:
- Analyze existing processes to identify areas that can be optimized for the cloud and Looker BI
- Develop a plan to reengineer processes and update existing components to align with the new processes
- Migrate the reengineered processes and updated components to the cloud using a phased approach, testing each phase before moving on to the next
Both approaches have advantages and disadvantages; their choice ultimately depends on the organization’s needs and goals. In either case, working closely with BI Looker Experts and cloud migration specialists is essential to ensure a successful migration effort.
Conclusion
With the evolving BI landscape, organizations that can effectively leverage their data assets and use BI tools to gain insights will be better positioned to compete and succeed in their respective markets.
Looker BI is a powerful tool that can help organizations modernize their data ecosystems, enhance customer experience, and undertake a multi-year migration effort. By leveraging Looker BI’s capabilities, organizations can gain insights into customer needs and preferences and use this information to create products and services that meet their expectations.
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