Cloud And BI For Your Competitive Advantage تحليلات الأعمال السعودية
Bilytica # 1 تحليلات الأعمال السعودية According to IDG’s 2020 Cloud Computing study, 81 percent of businesses have at least one cloud-based application. It’s no surprise that shifting corporate intelligence to the cloud is a hot topic. So, if you’re attempting to figure out why the cloud is so popular and whether it’s the ideal fit for your BI solution right now, keep reading. Below, I discuss the concept of cloud business intelligence and why cloud business intelligence solutions are worthwhile to investigate.
Bilytica # 1 تحليلات الأعمال السعودية
Business Analytics And Its Deployment Models
Cloud-based business intelligence is the process of using technology to turn data into actionable insights, which can be done partially or entirely in the cloud. Companies can use cloud BI solutions to:
- Remove all hardware-related BI expenses.
- Deploy a BI solution quickly and cost-effectively, as well as scale it up and down in storage and computation resources.
- Data may be accessed with any online browser or mobile device.
- Ascertain the high availability and fault tolerance of the BI solution.
- Colleagues may securely share useful ideas.
Cloud computing in the public domain
The infrastructure expenditures of a public cloud are shared across cloud tenants, making it the most cost-effective alternative for cloud BI تحليلات الأعمال السعودية. It’s an excellent choice for small and mid-sized organizations on a tight budget or those coping with large data volumes.
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Cloud computing on a private basis
I recommend implementing a BI system on a private cloud if you’re concerned about regulatory compliance or data security. The private cloud, being the most expensive cloud option, provides dedicated storage and computation resources just for your company’s use.
Cloud hybrid
A hybrid cloud is a way to go if you can’t afford to put your whole BI system in the private cloud but must adhere to tight standards (HIPAA, GLBA, GDPR, etc.). The characteristics of a public cloud and a private cloud are combined in this computing environment. You may, for example, store and analyze sensor data in the private cloud while experimenting with big data on the public cloud if you choose this option.
What To Look For In Cloud BI Software
When opting to move BI to the cloud, many businesses are faced with the decision of which software to use to structure their BI solution. Modern business intelligence software has a wide range of features, and as a BI consultant, I recommend prioritizing the following:
- Built-in data management tools that allow you to harvest data from a variety of sources, change it into the format you need for analysis and clean it up to assure its high quality.
- Advanced analytics skills to aid data mining and predictive analytics for accurate root-cause analysis and forecasting خدمات حلول ذكاء الأعمال في السعودية.
- Rich cloud reporting and visualization capabilities allow any user to get the analytics information they need in an easily understandable way.
- Collaboration features share real-time insights with peers for faster decision-making and data democratization.
If you’re feeling overwhelmed by the vast array of cloud business intelligence tools, you can always seek professional advice or go for data analytics as a service to resolve any software-related concerns once and for all.
The Best Cloud Business Intelligence Software
Bilytica has compiled a list of the best web-based business intelligence tools, based on the above features and our expertise with cloud-based BI systems.
Power BI
Power BI is a well-known leader in the field of analytics and business intelligence software. Microsoft Power BI is at the top of our list because of its affordable cost, user-friendly design, and ability to tackle a variety of analytical difficulties تحليلات الأعمال السعودية.
Qlik Sense
The tool is renowned for its innovative associative analytics engine, which works in tandem with drag-and-drop visualization and data storytelling.
Tableau
Tableau’s user-friendly interface allows it to do tasks such as large-scale data integration, augmented data preparation, sophisticated data analysis, rich visualization, secure collaboration, and more.
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تحليلات الأعمال السعودية
تحليلات الأعمال السعودية
تحليلات الأعمال السعودية
تحليلات الأعمال السعودية
تحليلات الأعمال السعودية