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Limitations of Power BI

Home > Blogs > Limitations of Power BI – Are They Riskey?

Limitations of Power BI – Are They Risky?

May 21, 2021

Global Data 365 is composed of highly skilled professionals who specialize in streamlining the data and automate the reporting process through the utilization of various business intelligence tools.

Limitations of Power BI

If your business is considering implementing Microsoft’s Power BI analytics framework, you must understand the level of complexity involved in successful integration. Power BI is a many-month software project based on a complex mix of technology elements, not just a device you install and customize. To get it right, you’ll need a lot of preparation and the highest level of management skills. So what is Power BI?

Power BI

Microsoft’s Power BI is a cloud-based business intelligence service package. It uses insightful visualizations and tables to transform raw data into usable information. Data can be processed and used to make strategic business decisions in a short amount of time. Power BI is a set of business intelligence and data visualization tools that includes software services, applications, and data connectors. Power BI is a user-friendly tool with versatile drag-and-drop design and self-service capabilities. Power BI can be used on both on premise and cloud systems.

So what are the limitations of Power BI that you can avoid?

Complexity Involved with Power BI

Most of us have become used to applications that can be downloaded in minutes or even hours in the case of more advanced systems. That’s a fairly straightforward scenario. At the other side of the curve are items that entail some configuration and are designed and implemented by a team of specialized experts. A full Power BI implementation must solve a slew of design issues. The answers to those questions will affect efficiency, productivity, and adaptability in the long run. Some of the major differences between a Power BI cloud deployment and an on premise deployment. For instance:

– What features should you run, where should they run, and how will they all interact?

– What level (or levels) of security do you incorporate?

– Will you be using SQL Server Analysis Services to model your results, or will you use the Power BI desktop tool?

– Should you use Power BI’s Direct Query function or import data?

– Will a gateway component be needed, and if so, where will it be installed?

All these are really technical questions, but the solutions have long-term consequences, and it’s always difficult to make adjustments later. This level of complexity necessitates upkeep, which entails additional costs and disruption.

Power BI: Toolset not a Complete Solution

There are no reports included with Power BI out of the box. In fact, Power BI reporting necessitates a substantial upfront expenditure, not just in terms of constructing the technological infrastructure, but also in terms of deciding how you access the data, how and when data must be converted or pre-processed, where you archive them, and so on. After you have answered those design considerations, you will need to put in a lot of time to set up the data access and data flow.

Data access is becoming more complex in this age of cloud computing. This is particularly true of Microsoft Dynamics 365 products, which no more require unlimited reporting access. Microsoft has suggested some possible workarounds, but all of them require major compromises. Microsoft has introduced an indirect layer of “data entities” in Microsoft Dynamics 365 Finance & Supply Chain Management (D365 F&SCM), for instance, that developers can use to obtain entry to ERP data. Personalizing Power BI can be very costly. Since every company is different and has its own set of requirements, customization is unavoidable. Recurring costs arise from the ongoing maintenance of such customizations.

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Power BI as a Dashboard Visualization Tool

Power BI was developed to be used as a dashboard visualization tool. It does an adequate job of producing conventional tabular reports, lists of individual records with several columns and subtotal, and it does a great job of providing an insightful visual analysis of what is happening in the market. Traditional banking statements are not generated by Power BI because they are somewhat different from other forms of reports. Filtering, masking, or grouping GL sums by account column, for example, is commonly required when creating a P&L statement. This is often done in different ways for each row in the report.

Columns in the report may be sorted by organizational agency or division, or they can be used to reflect various time spans, budget vs. real, or variance amounts or percentages. Since Power BI has a little method of controlling such distinctions, having it generate a comparatively straightforward P&L is a very costly custom programming activity.

Power BI without the Limitations

Global Data 365 offers self-service, user-friendly analytics and reporting tools, as well as collaboration with Power BI and Excel. With the help of Jet Analytics, we hold the guesswork out of Power BI by automating the process of developing a data warehouse with pre-built connectors for over 140 different ERP systems, allowing business leaders and analysts to have the data they demand, when they need it, without any need for specific commands or the complexity of the entire Power BI stack.

Need to overcome the limitations of Power BI, opt for our Power BI Training program today.

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Why-Power-BI-Is-a-Better-Choice-than-Excel-for-Analytics

Home > Blogs > Why Power BI is a Better Choice than Excel for Analytics

Why Power BI is a Better Choice than Excel for Analytics

April 21, 2021

Global Data 365 is composed of highly skilled professionals who specialize in streamlining the data and automate the reporting process through the utilization of various business intelligence tools.

Why-Power-BI-Is-a-Better-Choice-than-Excel-for-Analytics

Modern businesses depend on data, and we’re producing more of it than ever before. However, accumulating volumes of digital data is useless unless companies can make use of it. Business intelligence tools can help with this. Are you planning to introduce a platform to assist you in extracting valuable, actionable insight from your data? You have arrived at the right place.

We will go over the fundamentals of Microsoft’s flagship BI app, Power BI, in this article, like what it can do, what it costs, and what changes it can provide to your company.

Characteristics of Power BI Desktop

– Can link to several different data sources. With the Auto-Refresh option, you can keep this data up to date.

– It aids in the rapid modelling of data.

– Using the drag and drop map, it is possible to generate interactive reports.

Characteristics of Power BI Service

– It is a web portal that allows users to monitor and view reports generated with Power BI Desktop.

– Reduce the amount of time spent moving and sharing information.

– Data can be imported from a variety of on premise sources (Excel, DB, CSV, etc.) or directly documented from a variety of cloud web services, including Azure, MailChimp, Zendesk, and Salesforce.

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Increase efficiency and deliver success now with Microsoft Power BI. Enjoy a 20% discount on all Power BI services.

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Increase efficiency and deliver success now with Microsoft Power BI. Enjoy a 20% discount on all Power BI services.

Why should you Choose Power BI over Excel?

Power BI has many benefits to offer than Excel. Listed below are some of the benefits.

Convenience and Data Size

Power BI can handle massive amounts of raw data as well as several data tables. The analytical tool is capable of loading and processing large amounts of data into a single PBIX file. Multiple tables can be configured and, if necessary, combined based on common fields. In terms of user interface and ease of use, the Power Query Editor and Data Modeling parts are easier to use.

Data Connectivity and Auto Refresh

One of the key reasons to use Power BI is that it can link to a broad range of data sources, including databases, online sites like Facebook, and Salesforce reports, among others. When compared to the previous data, the data is automatically inserted into the Power BI Workbook. Excel’s ODBC Driver takes up a lot of time.

Power BI has a great choice for keeping data in alignment with the source called Auto Refresh. To have all the reports updated, Power BI Desktop has a Refresh option, and Power BI Service has a Refresh Now, as well as a Scheduled Refresh option. When you choose Refresh, the data in the file’s model is replaced with the most recent information from the original data source. This form of a refresh, which takes place entirely inside the Power BI Desktop program, varies from Power BI’s Refresh Now and Scheduled Refresh solutions.

Power BI uses the information in the database to link to the data sources identified for it, search for updated data, and then upload the updated data into the dataset when you refresh data in a dataset, whether using Refresh Now or setting up a refresh schedule. In Power BI, unlike Excel, the dashboard can be refreshed.

Reporting and Cross-Filtering

Power BI reporting is much more advanced and engaging than Excel reports, and a single graph can provide numerous perspectives. In Excel, cross-filtering is not possible, but it is possible in Power BI. This has an impact on how users want the filtering for data with table relationships to move.

Alerts and Emails

To submit a mail and a reminder in Excel, a user has to use the VBA Editor to generate a macro. In Power BI, creating a warning and sending an email when a condition (such as a threshold value) is met has never been easier. This will keep users updated when on the move, and they will be able to view the report at any time and from any place.

Some other features include:

Natural Language Query (NLQ)

By asking a common person question in Power BI Service, everyone can get a fast response from the current insights. It’s helpful when someone isn’t familiar with the data model but needs fast answers to questions about the insights. Furthermore, this saves a lot of time.

Deeper Insights

The backend program, which is driven by intelligence and algorithms, can generate interactive insights at the touch of a button. It will help you save time and interpret data more quickly.

Dashboards and Customized Reports

The reports that are produced can be modified in every way to achieve the desired outcomes. On the dashboard, the report tiles can be rearranged and relocated as desired.

Sharing Reports and Access

The reports and dashboards may be shared with the general public or only a small group of associates.

Downloading and Exporting Dashboards

The Power BI Service allows you to download and transfer dashboards in a variety of formats. The dashboards can be submitted as a .PBIX file or exported as a PowerPoint presentation, PDF, or event print.

Conclusion

In today’s data-driven environment, a fast and efficient data analytics tool is needed. Power BI makes use of business intelligence to ensure that all reports are produced efficiently and provide a wealth of information. Changes in time and technology necessitate the use of a versatile tool like Power BI, which makes work easier and saves time while delivering the best performance. Get a suitable training for your needs or for more information, contact us today!

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artificial intelligence vs business intelligence (AI vs BI)

Home > Blogs > Artificial Intelligence vs Business Intelligence (AI vs BI)

Artificial Intelligence vs Business Intelligence

March 26, 2021

Global Data 365 is composed of highly skilled professionals who specialize in streamlining the data and automate the reporting process through the utilization of various business intelligence tools.

artificial intelligence vs business intelligence (AI vs BI)

Despite all of the hype surrounding smart, data-driven decision-making, Business Intelligence (BI) and Artificial Intelligence (AI) are frequently confused. The AI vs BI debate has been going on for a long time. While both assist businesses in making crucial decisions, there are significant differences between the two. While artificial intelligence (AI) has gained prominence recently, it is no surprise that business leaders are working to find ways to incorporate AI into their technology framework. When business officials are asked to clarify what they expect to receive from AI, they regularly respond with solutions that will help them make better business decisions. AI refers to computer intelligence that is similar to that of humans, while intelligence in BI refers to intelligent decision-making. Dive in the blog and find characteristic of AI vs BI.

What is Artificial Intelligence?

Artificial Intelligence is a way of creating a computer, a computer-controlled robot, or software that think intelligently like humans. Artificial Intelligence is developed on the study of how humans think, learn, decide, and work to solve problems, and then using the findings as a foundation for creating intelligent software and systems. Automation, data modelling, reporting and analytics, are some of the computer-powered business decision drivers that are referred to as AI but are not AI. While AI has the ability to improve all of these areas, they are not the areas of focus that are primarily linked to AI; instead, every one of these platforms is discussed by a different type of intelligence software, particularly business intelligence.

What is Business Intelligence?

Business Intelligence is a technology that collects, stores, accesses, and analyses data to assist business users in making informed decisions. BI converts data into meaningful information in the form of reports and dashboards, enabling companies to make informed data-driven decisions. It requires the use of statistical methods to analyse data. To take out more data-driven data, it incorporates data mining, data warehousing, and other tools. It includes the collection of data and the subsequent use of that data to make decisions. It assists in optimizing and capitalizing on historical data available.

So what is difference between AI and BI?

AI vs BI: Difference between Artificial Intelligence and Business Intelligence

Factors Artificial Intelligence Business Intelligence
Concept Artificial Intelligence refers to human like computer intelligence. Business Intelligence refers to intelligent decision making.
Emphasis It requires the use of statistical methods to analyse data. It involves machine learning and deep learning algorithms.
Application It is primarily used in robotics, VR, image recognition, machine learning, etc. It is primarily used in data warehouse, data modelling, data visualization and dashboards, analytics and reporting.
Usage Its usage is linked to the future events. Its usage is linked by available historical data.
Inputs It benefits subject such as biology and computer sciences. It benefits enterprise management data, reporting and data analysis, OLAP.
Algorithm It utilizes the breadth first algorithm (BFS) and follows the FIFO principle. It uses the linear aggression module for organizing data.
Limitations It poses security and privacy risks. It can lead to misuse of data by using improving technology.
Objective The main aim of AI is to produce machines that have the potential of working like the human brain. The main aim of BI is analysing day and future prediction by using historical data.
Tools It makes use of complex algorithms to make logic. It makes use of spreadsheets, query software, dashboard, and tools of data mining for analysis.

So AI’s ultimate aim is to build machines that can replicate human thought but less useful to a company than a school of technology dedicated to assisting businesses in evaluating results, knowing the past, and predicting the future. Whereas, the three main benefits that business intelligence solutions help to improve, as well as three key performance indicators in enterprise business, are security, simplicity, and speed.

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Increase efficiency and deliver success now with Microsoft Power BI. Enjoy a 20% discount on all Power BI services.

Artificial Intelligence in Business Intelligence (AI in BI)

Artificial Intelligence in Business Intelligence can help drive any company to success. AI and BI are demonstrated by AI-powered alerts which range from simple alerts to advanced neutral network alerts, and assist businesses in maintaining total control over key performance factors by alerting them as soon as anything happens. These AI innovations will continue to revolutionize the business intelligence environment when combined with creative business dashboards. All of these firms are taking a break from the time-consuming task of sifting through data to discover patterns and responding to costly problems.

Although AI is centred on helping computers in gaining insight on their own, BI enables entire companies to gain access to the data they require to make fast, better decisions, which is crucial in today’s rapidly evolving business environment. In a study of 2600 business intelligence end-users, 91% said BI enabled them to make improved business decisions, 84% said it increased customer satisfaction, and 79% said it enhanced reporting, research, and planning. In the coming years, AI will certainly have a huge effect on companies, but don’t confuse today’s BI benefits with advanced algorithms or thinking machines.

Businesses will better plan for the age of thinking machines and lay the foundations for machine-augmented decision making soon by investing in BI. Find differences between Artificial Intelligence and Business Intelligence with AI vs BI. If you are interested in how agile Business Intelligence solutions can help businesses to achieve AI, contact us now.

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Business Intelligence with Power BI

Home > Blogs > Unleash the Power of Business Intelligence with Power BI

Power of Business Intelligence with Power BI

January 25, 2023

Global Data 365 is composed of highly skilled professionals who specialize in streamlining the data and automate the reporting process through the utilization of various business intelligence tools.

Business Intelligence with Power BI

Business Intelligence is a crucial aspect for companies to make informed decisions and stay ahead of the competition. Business Intelligence with Power BI offers a simple and fast solution for efficient data visualization, real-time reporting, and predictive analytics, Power BI can turn data into actionable insights.  

The platform is user-friendly interface and ability to integrate with a wide range of data sources make it easy for companies to get started. Adopting Power BI business intelligence can help organizations make data-driven decisions, improve operational efficiency, and drive growth. Start leveraging the power of Business Intelligence with Power BI today. 

Maximize the potential of your data and gain valuable business insights with Power BI services. As a powerful data visualization and reporting tool, Power BI can help you turn raw data into actionable insights, empowering you to make data-driven decisions with confidence. With its interactive dashboards and insightful reports, you can uncover patterns, trends, and opportunities in your data, and transform your business for growth.  

Why Power BI - Advantages of Power BI for Business Intelligence

There are many options available for organizations for business intelligence then Why Power BI? Power BI have edge over other tools when it comes to effective business intelligence. Microsoft Power BI takes lead over other tools because advantages of Power BI are immense that it offers to organizations. Below are the five advantages of Power BI that results in effective business intelligence which will ultimately bring effective results.

Data Integration with Power BI

Data integration in Power BI is more advanced compared to other tools due to its seamless integration with other Microsoft products and its ability to handle large amounts of data. Power BI allows for easy import of data from various sources such as Excel, SQL Server, and cloud-based platforms.  

Additionally, Power BI’s Direct Query technology allows for real-time data analysis and visualization, providing users with up-to-date insights. Power BI’s powerful data integration capabilities make it an ideal choice for organizations looking to centralize and make sense of their data. 

Drag and Drop Interface

The drag and drop interface of Power BI allows users to effortlessly manipulate data to create customized visualizations and reports. Unlike other BI tools that require coding or complex data structures, Power BI’s intuitive interface makes it easy for users of all skill levels to explore and analyze data.  

The ability to drag and drop data sources and instantly see visual representations differentiates Power BI from other BI tools, enabling users to quickly gain insights and make data-driven decisions without having to rely on IT support. 

Power BI Data Modeling

Data Modeling in Power BI allows users to create relationships between different data sets and create a unified view of the data. This helps in easy data analysis and decision making. So, the next time you consider adding a new facility, Power BI will assist you in analyzing the impact it will have on its suppliers. It allows a person to observe the current world while still planning for the future. 

It also integrates with other Microsoft tools, making it a part of a larger data ecosystem, which can be useful for organizations that use multiple Microsoft products. Additionally, Power BI provides a wide range of data visualization options and interactive dashboards, which can help make data insights more accessible to stakeholders. 

Ease of Use

Power BI is known for its ease of use, as it offers a simple, intuitive interface for data visualization and business intelligence. This makes it accessible to users with a variety of technical backgrounds, allowing them to easily create and share interactive dashboards and reports. 

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Increase efficiency and deliver success now with Microsoft Power BI. Enjoy a 20% discount on all Power BI services.

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Increase efficiency and deliver success now with Microsoft Power BI. Enjoy a 20% discount on all Power BI services.

Real-Time Collaboration

Power BI offers real-time collaboration features that allow teams to work together and make data-driven decisions in real-time. With Power BI, users can access and share real-time data dashboards, reports, and visualizations from anywhere, on any device. Power BI also provides robust collaboration tools, including comments, annotations, and co-authoring, which enable teams to discuss and make decisions based on the latest data insights.  

Additionally, Power BI’s cloud-based architecture ensures that all team members have access to the most up-to-date data and insights. With its real-time collaboration capabilities, Power BI empowers organizations to make data-driven decisions faster and more effectively. 

Data Visualization with Power BI

Data Visualization with Power BI allows businesses to turn data into interactive and shareable insights. Power BI stands out from other tools by offering a comprehensive suite of data visualization, reporting, and business intelligence capabilities in one package. With Power BI, users can easily connect to a variety of data sources, perform data transformations, and create interactive dashboards and reports with a simple drag and drop interface. 

The tool also provides collaboration features such as shared dashboards and data stories, enabling teams to work together and make data-driven decisions. Power BI’s advanced data visualization options, such as its 3D map and custom visualizations, set it apart from other data visualization tools, providing a more immersive and engaging way to explore data. 

How Global Data 365 can help you?

Global Data 365 is a leading provider of Power BI services for effective business intelligence in the Middle East and Africa. Our team of experts help organizations streamline their data management, gain valuable insights and drive better business decisions. With a focus on delivering customized solutions or required trainings, our services are designed to meet the unique needs of each client and maximize the impact of Power BI on their overall success. 

Schedule a demo with our Power BI experts

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