Cloud Business Intelligence: Architecture, Benefits, and Salaries

Business intelligence is helping companies of all sizes. BI involves people, processes, tools, and applications that help you organize, enable access to data, and analyze information. 

In 2022, the global cloud BI market was valued at $15.5 billion. The market will rise 20.3% from 2022 to 2028. The largest cloud BI market is North America, followed by Europe and Asia Pacific. The most popular cloud BI platforms are Microsoft Power BI, Qlik Sense, and Tableau.

By defining the goals, objectives, and policies of a company, BI helps you make better strategic, tactical, and operational decisions. However, most organizations find it difficult to make the financial investment in technology and human resources required to acquire a traditional on-premises BI solution.

What is Cloud Business Intelligence?

Cloud business intelligence (BI) is the hottest topic of conversation in every industry and gives organizations of all sizes a unique edge. The combined power of cloud computing and BI technology makes cloud BI a viable proposition. 

All cloud BI solutions typically reside in a cutting-edge, highly secure data center that uses BI technology to enable remote access to data and performance monitoring for businesses. There are three unique advantages that Cloud BI offers over traditional on-premise BI solutions. 

1. Cloud services are cost effective because they are subscription based, which means paying a monthly rental fee that includes all the underlying hardware infrastructure and software technology.
2. We can deploy Cloud BI in a short period of time, thus allowing users to quickly start analyzing their business performance and get a faster return on investment. 
3. Cloud BI does not require a huge investment, thus reducing the financial risk associated with a failed implementation, and offers significant rewards, thus making it a winning strategy for organizations that want to harness the power of BI.

Organizations of all sizes can now gain a competitive advantage by quickly and cost-effectively deploying business intelligence with the simplicity of the cloud.

Cloud Business Intelligence Architecture

The Cloud  business intelligence architecture has three tiers: 

1. tier 1 is operational systems and external data, called a tile. 
2. tier 2 is data warehouse and ETL tools
3. tier 3 is individual databases like logistic, marketing, performance evaluation, etc. 

These tiers do precise business intelligence activities and provide decision-making analyses.

Tier 1

We’ll take each one now. The first is operational with external data. It’s a data source, therefore, it gathers client data from diverse data systems. Internet, books, newspapers, article-type blogs, etc. Data is extracted for business insight. This heterogeneous data comes from operational sources, emails, or extension files.

Tier 2

 Second, Tier 2 is a data warehouse and data mart, where we organize heterogeneous data from Tier 1 and offer it to the decision-maker. So, suppose you go to a supermarket. When you enter the store, all the products are well placed, so you don’t need to ask any personnel where they are. To avoid rushing, each product will be appropriately placed. The ETL (ETL full form: Extraction Transformation Loading ) tool—extraction, transformation, and loading—can complete the process. 

First, we extract, convert, and load the data for use. For business intelligence decisions, AI tools store heterogeneous data from different sources in a database. We use an appropriate approach, model analysis method, or analysis methodology to make a choice in business intelligence. We can make an accurate decision using structured data.

Methodology follows. This bar has each component in a bottom-up order, starting with operational data, documents, or external data. The second layer receives data in data warehouse or data mart format. We could acquire the data in a multi-dimensional queue format and arrange it according to our methods.

Tier 3

In the third layer, we use statistical analysis and visualization to examine the data, determine what is needed, what parameters we have, what we can do with it, how we can visualize it, etc.

Data mining involves a data-learning model. Optimizing at the fifth level allows us to find alternatives like this. If this is not a fact, then this can be done if this is not possible, so we may discover various options to take a proper analysis, and the last layer, which is the topmost layer, will give you the perfect business intelligence conclusion.

The business intelligence model follows this pyramid. Business intelligence departments follow. What are our departments? Our supplier will provide enterprise resource planning data. The customer receives the data after we format it.

Before delivering customer data, you must execute logistical, accounting, and cell marketing controls. The business intelligence analysis cycle follows. Business analysis is a never-ending loop. 

First, we study the data inside the data and decide. We examine, analyze, work with, and decide on data. We’ll go through each business intelligence cycle. Analyze first. Clarify the issue during analysis. We can pinpoint your data issue through analysis.

It enhances the decision-maker’s casual understanding of the issue. The third phase converts internal information into choices and actions. In the fourth step of the business intelligence cycle, performance majors evaluate decisions to determine accuracy.

Benefits of Cloud Business Intelligence

• Informed Decision-Making:- BI enables organizations to access timely and accurate insights, empowering decision-makers to make data-driven decisions that align with business goals and strategies.
• Improved Operational Efficiency:- BI helps identify inefficiencies, bottlenecks, and areas of improvement within business processes, leading to increased operational efficiency and cost savings.
• Enhanced Customer Understanding:- BI enables organizations to gain a deep understanding of customer behavior, preferences, and needs, facilitating personalized marketing campaigns, targeted offerings, and improved customer satisfaction.
• Competitive Advantage:- By harnessing BI, businesses can gain a competitive edge by identifying market trends, monitoring competitors, and making proactive strategic decisions.
• Agility and Adaptability:- BI enables organizations to quickly respond to changing market dynamics, identify emerging opportunities, and adapt their strategies accordingly.

Salaries in Cloud Business Intelligence Roles at Amazon

Business intelligence engineer Amazon salary and business intelligence analyst salary in the table below:

Here is a more thorough table that breaks down the average base salary by level of experience for each role:

The total compensation package for a Business Intelligence role at Amazon can vary significantly depending on the individual’s skills and experience.

Conclusion

Cloud Business Intelligence has revolutionized the way organizations leverage data for informed decision-making. By implementing a robust architecture that integrates cloud storage, data integration, data warehousing, and powerful BI platforms, businesses can unlock the full potential of their data assets. 

The benefits of Business intelligence make it a critical tool for success in today’s competitive landscape. Additionally, pursuing a career in Business Intelligence, such as that of a Business Intelligence Engineer or Analyst, can offer promising opportunities, with companies like Amazon offering competitive salaries to professionals in these roles.