Fuel Your Business with Cloud Business Intelligence: Harnessing the Power of Data for Breakthrough Results

We have heard enough that “Data is the new oil.” Data has become essential for making informed decisions and gaining a competitive edge. However, having data is not enough. The ability to analyze, extract insights, and visualize data is crucial for businesses to succeed. This is where Cloud Business Intelligence comes into play. In this blog, we’ll explore Cloud BI, why it’s necessary, the different deployment models available, and the advantages it offers. So let us dig deep into the future of data-driven decision-making!

• Techjury’s latest research indicates that the top three business intelligence trends of the moment are data visualization, data quality management, and self-service BI – so it’s worth keeping a close eye on these developments!
• The global market is set to skyrocket to a whopping $33.3 billion by 2025 with BI.
• While North America is leading the way in cloud BI usage, it seems that Europe has some catching up to do, currently trailing behind by 10%.
• A recent survey showed that 34% of organizations in North America, Mexico, Greenland, and Canada are fully or partially already using cloud BI, whereas 24% of businesses in Europe have adopted this cutting-edge technology so far.

As the statistics look promising so is the future. Let us see the how and why of Cloud Business Intelligence.

What is Cloud Business Intelligence?

Cloud BI combines two technologies – Business Intelligence (BI) and cloud computing. Business Intelligence refers to analyzing data to gain insights into business operations, while cloud computing is accessing and storing data remotely through the internet. By combining these two technologies, Cloud BI provides a powerful solution for businesses to analyze data and gain insights into their operations.

In Cloud BI, businesses use cloud-based software and tools to store, comprehend and analyze data, eliminating the need for on-premise data warehousing. This makes it cost-effective and a better alternative for sharing information. Businesses can access data from anywhere with an internet connection, making it a flexible and scalable solution. Additionally, some businesses hand over the responsibility of managing and maintaining the infrastructure to the cloud service providers, freeing businesses to focus on data analysis and decision-making.

As we are into 2023 and start looking towards this year, it’s a good time to reflect on some big data trends that will likely shape the industry in 2023. The potential applications of big data are endless, and as the technology continues to evolve, we can expect to see even more innovative and transformative uses in the coming years. We will explore some of the top big data trends for 2023 and how they shape the industry’s future. So, the future of big data is very bright, and it has a massive scope in every sector.

Need for Cloud BI: Why Cloud BI is a Game-Changer for Your Business:

There are several reasons why Cloud BI is essential for businesses. Here is why;

• Cost Savings: Businesses can save costs by eliminating the need for on-premise data warehousing with Cloud BI which is inexpensive in terms of hardware, software, and maintenance. With Cloud BI, businesses pay for what they need and can scale up or down as necessary. Making it a more cost-effective solution for businesses without incurring high upfront costs.
• Scalability: The cloud service provider manages the infrastructure for Cloud BI, enabling businesses to focus on their data analysis. As data volumes grow, businesses can quickly and easily expand their infrastructure, providing a scalable solution. Businesses can adapt to changes in data volume easily and ensure that they have the infrastructure to handle their data needs.
• Accessibility: Cloud BI enables remote access to data, making it easier for employees to collaborate and make informed decisions. Cloud-stored data eases accessibility from anywhere with an internet connection. The flexibility to work from anywhere, which is becoming increasingly important in today’s remote work environment comes in handy with Cloud BI.
• Collaboration: Cloud BI enables collaboration between different departments within a business. By providing employees with remote access to data, businesses can break down data silos and enable employees to work together. A better decision leads to better results.

No reason that businesses should not be interested in it. Right?

Choosing the Right Path: Exploring Deployment Models for Cloud Business Intelligence

Cloud Business Intelligence (Cloud BI) can be deployed using several models, including Public, Private, Hybrid, and Community.

• Public Cloud: In a Public Cloud deployment, the Cloud BI software is hosted on a cloud service provider’s servers, which are accessible to anyone with an internet connection. This is a cost-effective option, as businesses do not need to purchase their infrastructure or manage their servers. Just like Amazon Web Services and Microsoft Azure.
• Private Cloud: In a Private Cloud deployment, the Cloud BI software is hosted on a dedicated infrastructure that is exclusive to a single organization. This option provides more control over data security and infrastructure management. An example of a Private Cloud provider is Oracle Cloud.
• Hybrid Cloud: In a Hybrid Cloud deployment, the Cloud BI software is hosted on a combination of Public and Private Cloud infrastructure. This allows businesses to take advantage of the cost savings and scalability of the Public Cloud while maintaining control over their sensitive data with the Private cloud. An example of a Hybrid Cloud provider is IBM Cloud.
• Community Cloud: In a Community Cloud deployment, the Cloud BI software is hosted on a shared infrastructure that is accessible to a specific group of organizations. This option provides cost savings by sharing infrastructure and resources while maintaining data security. An example of a Community Cloud provider is Blackboard Learn.

Each deployment model has its benefits and drawbacks. Public Cloud is a cost-effective option but may not provide the level of control over infrastructure and data security that some businesses require. Private Cloud provides more control but can be more expensive. Hybrid Cloud provides a balance between cost and control, while Community Cloud is suitable for organizations with similar data requirements.

Businesses should consider their data security needs, cost constraints, and infrastructure requirements before selecting a deployment model.

Cloud BI Advantages:

Cloud Business Intelligence (Cloud BI) has several advantages over conventional on-premise solutions.

As we saw above, Cloud BI offers a cost-effective solution for businesses by eliminating expensive hardware and maintenance. Its scalability enables businesses to adapt to changes in data volume, while its accessibility and collaboration features enable employees to make informed decisions and work together across departments. Let us see what additionally it has to offer.

• Real-time Analytics: Cloud BI allows businesses to analyze and process data in real-time, enabling quick decision-making. Identifying trends and patterns and adjusting the strategies accordingly is easy with real-time analytics.
• Effortless Integration: Cloud BI solutions can easily blend with other cloud services, such as Customer Relationship Management (CRM) and Enterprise Resource Planning (ERP) software. Businesses can have a bird’s eye view of their tasks and take precise conclusions based on the data at hand.
• Lower Maintenance: Cloud BI solutions require less maintenance than traditional on-premise BI solutions. The cloud service provider manages the infrastructure, including updates, backups, and security, freeing up IT resources to focus on other tasks.

Cloud Business Intelligence (BI) can hence provide significant benefits to businesses, not only in decision-making but also in revenue growth.

With the ability to access data in real time from anywhere, cloud BI empowers businesses to make informed decisions faster. This means that they can quickly spot opportunities for growth or potential problems and take action accordingly.

For example, a retail company could use cloud BI to track sales data in real time across different locations, allowing them to adjust inventory levels, promotions, and pricing strategies in response to demand.

In addition, cloud BI enables businesses to gain insights into their operations and customer behavior that were not previously possible. By having data from multiple sources, businesses can gain a 360-degree view of their functions and clients, allowing them to identify patterns and opportunities that were previously hidden.

For example, an e-commerce business could use cloud BI to analyze customer data from numerous channels, such as social media and website visits, to skillfully understand their picks and behavior, and to create customized marketing drives that increase revenue.

Cloud BI is a powerful tool that can help businesses to acclimate fast to altering market situations.