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• Online Analytical Process: OLAP implements the multidimensional analysis process that enables users to easily and selectively extract and query data in overdose it from different point points.
• Corporate Performance Management:CPM is a subset of Business Intelligence that involves monitor and managing the business intelligence of a company according to key performance indicators.
• Real-Time Business Intelligence: RTB is the combination of data analyzing and data processing with accurate time.
• Data Ware Housing:A data warehouse is a database that is designed for storing and analyzing huge volumes of data. Data warehouses are used by businesses to store their data in a single location so that it can easily be accessed and analyzed.
• Data Sources:In general databases are the most traditional type of data source in business intelligence, like MS Access, Oracle, DB2, SQL, MYSQL, Amazon sample database, etc. In some other cases, organizations may use an ETL tool to collect data from their traditional databases, then transform them for business intelligence and load them into the warehouse or data mart.

BI Architecture:

It also helps to understand the Business Intelligence architecture before understanding Cloud Business Intelligence (Cloud BI) deployment.

A Business Intelligence architecture is a blueprint that provides short instructions onyou’re your organization will work its BI initiatives. In other words, BI architecture defines the technology quality, data management, and analytics practices which support your business’ BI efforts, as well as the platforms and tools that will be deployed. The BI architecture is important to prevent gaps in BI implementation as your enterprise tries to utilize data better.

This is a typical Business Architecture diagram for Business Intelligence (BI):

• Data Management: Data management means how data is collected, stored, and accessed. It occurs at all levels of the organization, like data collected by seniors and then entered into databases by employees. The goal of data management is to ensure that data is accurate data secure, scalable, and easily accessible to those who need it.
• Data Analytics: Data analytics is the process of transforming data into insights. By using this any organization can gain a better understanding of their employees, their customers, performances, and trends that are shaping their industry.There are three types of data analytics;
  • Descriptive: What happened in the past? It describes past events and trends.
  • Predictive: What will happen? It predicts future events and trends.
  • Prescriptive: What action do we need to take? It prescribes what your company should do to improve business performance.
• Technology: To do data management technology is required. By using technology we can also share our insights with other organizations.
  • Data Warehouses: A data warehouse is a database that is designed for storing and analyzing huge volumes of data. Data warehouses are used by businesses to store their data in a single location so that it can easily be accessed and analyzed.
  • Data Lakes: Data Lake is a repository that can be used for storage and analysis. Data lakes are often used by businesses to store unstructured or structured data.

• Public Cloud: A public cloud expenditure is affordable Cloud BI because the cost of the infrastructure of cloud bi is split into various cloud tenants.
• Private Cloud: A private cloud is the most expensive deployment model but has enough storage and computing resources as needed. It is used for organizations that have data security and regulatory compliance.
• If you’re a business user with low coding knowledge, No-code low-code (LC/NC) platforms will offer you an opportunity to make changes in applications developed using this method. In this respect, the most potent use you can make of applications developed using LC/NC is to easily automate your business processes. Composite applications can also be developed with the help of NCLC platforms.
• Hybrid Cloud: Some organizations use a hybrid model. They may have certain data which is strict regulations and other data is not. The hybrid model allows the most sensitive data to store and analyse in a private cloud and work with the rest of other data in the public cloud.

• Easy to Deploy: We know that Cloud BI solutions are based on the internet, so they can install quickly and are simple enough for the team because they don’t need to depend on IT experts.
• PIntuitive Design: Cloud BI dashboards are easy to use; by this, any stakeholder can navigate data insights and make appropriate decisions.
• Automatic Updates: Cloud BI has a feature to update software automatically and then implement new features. It doesn’t need any physical hardware updating. So, by this latest and greatest features then & there available to the users.
• Mobile Access: Since rising of remote work, it’s impossible to have longer access to on-site and desktop computers for stakeholders. By using their BI solutions, like DOMO, they can easily access from anywhere to any device.
• Cost Savings: Very few on-site servers and IT staff are needed to maintain and manage the BI process, Cloud BI uses to reduce cost.
• Scalable Resources: Cloud BI can scale up & down as per the organization’s requirements. It is easy to handle huge amounts of data. It can compute too.
• Stay Competitive: Cloud BI is affordable means that any size of company can access the features of better business intelligence.
• Share Securely: By using of cloud bi proper data can share secure insights with team members.
• More Accurate Data: Cloud BI tools can process and as well as recheck data anytime.

• SAP Business Object: SAP business intelligence is a centralized platform that offers comprehensive reporting, analysis, and interactive data visualization.
• Data Pine: Data pine was founded in 2012. It is an all-in-one business intelligence platform that empowers everyone to explore, visualize, and facilitate, complex processes of data analytics and share data even with non-technical users.
• Micro strategy: It is an example of a business intelligence tool. It is the enterprise analytics platform built for powerful dashboards, cloud solutions, and hyperintelligence.
• SAS Business Intelligence: SAS business intelligence is an advanced predictive analytics platform that is a cloud-based enterprise that allows users to manage interactive reports and track merits.
• Yellowfin Business Intelligence: Yellowfin is an end-to-end analytics platform. From connecting to preparing your data to building dashboards and preparing reports.
• Scalable Resources: Cloud BI can scale up & down as per the organization’s requirements. It is easy to handle huge amounts of data. It can compute too.
• Stay Competitive: Cloud BI is affordable means that any size of company can access the features of better business intelligence.
• Share Securely: By using of cloud bi proper data can share secure insights with team members.
• More Accurate Data: Cloud BI tools can process and as well as recheck data anytime.

• Enhanced capacity: Microsoft Excel can’t handle complex operations effectively. If you’re working on a spreadsheet file with too much information, the document won’t open or will come up with error messaging. Alternatively, BI software can merge huge quantities of data which can’t be opened in Excel.
• Opportunity for collaboration:: Because Microsoft Excel is designed for use on a personal computer, it doesn’t offer multi-user capabilities, making it challenging for employees to work on one spreadsheet. However, BI software will allow for collective input, which means real-time input and modifications. Employees can even access the software from mobile devices with automatic alerts.
• Task automation: Modern BI software will automatically collaborate and refresh data which means there is no need to be dedicated to this task. This is great at minimizing human error which is common in Microsoft Excel, leading to massive financial implications.
• Integration with cloud services: While Microsoft Excel integrates with other Microsoft technologies, it is limited beyond this reach. However, BI software – because it is cloud-based – can merge with various other software solutions, extracting pertinent data and leveraging better business insights.
• Yellowfin Business Intelligence: Yellowfin is an end-to-end analytics platform. From connecting to preparing your data to building dashboards and preparing reports.
• Complex visuals: Microsoft Excel is bound to visualization, and making visuals takes a lot of time and effort. BI software will easily extract relevant data and automate unbelievable reports and visualizations in a minimal amount of time. It can combine the data onto a centralized dashboard, for ease of use.
• Customised content: BI software can make live dashboards with interactive reports customized to your particular business. In addition, BI software offers users a QA feature that allows for the quick search of common phrases using general language code.
• Trends and forecasting: Software BI allows for the easy analysis of trends from huge amounts of business data. This can then be used for predictive business forecasting according to a weekly, monthly, or annual estimate.
• Increased security: Most BI software will provide you with superior security features that grant limited access to certain elements of the software. Because of the value associated with business data, superior security must be combined with advanced access control.

• Saving BI time:
  Updating existing data, dashboards, and reports, and building new ones is one part of it. Another part of it is interpreting the data, spotting trends, raising red flags, etc. With a dashboard set to perform automatic updates, the BI team spends far less time producing and maintaining the dashboard. They can then utilize the time saved on other projects or analyze data more.
• Empowering end users:
  There is another aspect of time-saving benefits connected to dashboards. In addition to improving the productivity of those building dashboards, BI dashboards can help increase the productivity of end users. A BI tool as simplified and clear as a dashboard empowers end users to manipulate data and get answers more efficiently.
• Improved efficiency enabled by BI software:
  Depending on which BI software a business uses, it can reap benefits from any extra features it may have. This is particularly useful when the features provide more efficiency.
• Bringing data together:
  Typically, BI dashboards benefit businesses by tracking processes from beginning to end. This holistic approach means dashboards often rely on data from different locations. Dashboards are a good place to bring together all available data sources. This way, organizations can establish relationships between the data they collect and analyze it all as one.
• Focusing on KPIs: Dashboards are built to provide quick insights into some of the most important business processes. Dashboards work best if the information they contain is to the point and instantly visible. The dashboard-building process begins with determining its purpose and the key performance indicators involved. KPIs are crucial metrics for the evaluation of a business process.
• Improving the decision-making process:
  Simply put, the purpose of BI is to answer two main questions. First, "How well are we doing?" and second, "What do we do next?" These questions can be about the business as a whole or segments of it. "What do we do next?" is always followed by a decision. This is precisely the purpose of a dashboard. It is meant to provide answers to numerous questions with the single goal of making an informed decision.
• Telling trends:
  With the requirements set and met, a dashboard gives insight into the well-being of a business. It is a form of quick business news for an organization.


We’d like to end this blog with a few brilliant BI dashboard examples from various industries and verticals.
BI, especially Cloud BI, is truly a universal business tool for extracting the most out of business data. Find out how Cloud BI can be integrated into your organization’s existing processes and tools by setting up a free consultation with AchieveX’s experienced team of data scientists and data analysts.