Jet Analytics Training
Customer Success Stories

See What Our Satisfied Customers Have to Say about our jet analytics training programs.

Ahmad Hammad, MBA
Ahmad Hammad, MBA
BI & ERP Specialist at SYH Retail - IKEA
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Implemented Jet Report for IKEA with Global Data 365 who were professional, adhered to timelines, and provided advanced reporting tools. I highly recommend them.
Rukku Shantha
Rukku Shantha
IT Manager & Reporting Specialist, MPH Global
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Collaborated with Global Data 365 on Jet Reports license and training. Very resourceful and quick to respond to support requests. Highly recommend their services.
Finance and Accounting Manager, ATC
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Jet Reports exceeded our expectations with its many features. The training allowed us to create useful reports, and we highly recommend it for monitoring companies in the future.
Business systems analyst, Amref
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Partnered with Global Data 365 for Jet Reports implementation. Their expertise and insights have been invaluable in automating management reporting. Highly recommend their services.
Tonderai Mazingaizo
Tonderai Mazingaizo
Director of Finance & Operations, Afghanaid
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Incisive insights on Jet Reports and their capabilities in resolving financial reporting requirements
Antonio Vasconcelos
Antonio Vasconcelos
Microsoft Dynamics Functional Consultant, Port Logistics
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Global Data 365 implemented Jet Reports at my workplace. With their assistance, we were able to automate most of our reporting. Their support was excellent.
Joseph Pires
Joseph Pires
Assistant Financial Controller - Al Ghalia
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We worked with Global Data 365 in implementing Jet Reports at Al Ghalia. It was done in a timely manner as well as support and training provided by them was outstanding.
Sanket Shah
Sanket Shah
Financial Accountant - City Of Palmerston
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It was great training session with Global Data 365. We really liked their professional delivery method. We also got extra resource to help us get better at Jet Reports. I highly recommend them.
Jet Analytics Training Agenda


  • Introduction to Jet Reports
  • Jet Reports Ribbon Guide
  • Types of Users
  • Data Source Settings
  • Jet Functions Overview (NL, NF, NP)
  • Summary Lists
  • Detail Lists
  • Report Options
  • Grouping Reports
  • Adding Subtotals and Grand Total
  • NL(Column) & NL(Sheet)
  • Browser
  • Report Wizard
  • Table Builder
  • Fast Financials
  • Financial Statements (With NL & GL)
  • Date Intelligence (Comparing Actual vs LY)
  • Multiple Company Consolidation
  • Multiple Databases Consolidation
  • Advanced Filtering
  • Array Calculation
  • Graphs
  • Conditional Hiding
  • +Lock, +Hidesheet
  • Jet Scheduler
  • Jet Hub
  • Word Based Reports


  • Understanding the concept of Business Intelligence and ETL
  • Understanding Data Warehouse and Cubes
  • Creating Jet Repository database
  • How to create Staging, Data Warehouse and Cubes databases
  • Connecting the JDM project with NAV database
  • Bringing tables and fields to the JDM project
  • Applying Transformations and Data Selection Rules
  • Creating Lookup Fields and making table joins
  • Creating a Data Warehouse from Staging database
  • Combining multiple tables into one table
  • Renaming the tables and fields in Data Warehouse
  • Finishing up the Data Warehouse
  • Creating the Sales Cube
  • Adding Dimensions
  • Adding Calculated Measures and Business Functions
  • Adding Shortcut NAV dimensions
  • Execution Packages and Scheduling
  • Full Load vs Incremental Load
  • OLAP Security
  • Overview of Power BI Desktop
  • Defining Measures and Dimensions
  • Connecting Power BI with Jet Analytics Cube
  • Designing a Sample Sales Dashboard
  • Adding Custom Theme and Logo to Dashboard
  • Publishing the Dashboard on Power BI Web
  • Sharing Dashboard with Other Users


  • Jet Analytics Training Videos
  • Jet Reports Training Videos 
  • Jet Data Manager User Guide
  • Jet Reports User Guide

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Why is Building a BI Strategy Important

Home > Blogs > Why is Building a BI Strategy Important?

Why is Building a BI Strategy Important?

July 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.

Why is Building a BI Strategy Important

One of the many problems we hear from business executives is that they are still having trouble getting straightforward and reliable reporting from their business software systems. They recognize that they have a large amount of data, but the method of extracting, arranging, and evaluating it still seems to be much more difficult than it should be. That is why Global Data 365 was formed: to make the process easier, more efficient, and available to everyone in the company.

Business intelligence is the method of transforming raw data into actionable information. It helps you to gather data from various sources, arrange it, and then analyse it. In recent years, BI has exploded in popularity among small and mid-sized businesses (SMEs), owing to advances in technology that have made powerful analytics accessible to businesses of all sizes.

When you realize the real business advantages that powerful reporting can offer, BI resources provide a very good return on investment. A BI strategy will enable you to solve all of your data problems and requirements, create a coherent structure, and sustain it. What happens if you begin BI implementation without a plan? In other words, if you are focused on making those graphs, but no one in the business understands why or how to use them.

There is no one-size-fits-all solution because every other organization is unique. In the end, it’s all about figuring out where the company is now, where you want it to go in the future, and how you will get there.

Why Stock Reporting Tools Are Not Effective

Most businesses already use a variety of monitoring methods, and they may not even be aware of how disorganized their processes are. Consider the different tech platforms that your company employs. The majority of businesses use an ERP system to manage their financial and operational activities daily. Some companies have their own CRM system that may or may not be integrated with the ERP. Others use a digital marketing automation tool to generate and develop leads, improve customer interaction, and increase brand recognition and reputation.

These structures have their own set of reporting features. Unfortunately, such methods are frequently intended to be effective. They meet the basic reporting criteria, but they are limited in terms of versatility and complexity. Those tools, in many cases, lack the ability to generate custom reports. Frequently, current reports cannot be modified to benefit the organization’s strategic, complex business processes.

ERP software, in general, is infamous for requiring specialized IT skills for report creation and customization. This entails allocating limited IT resources to the task or hiring costly outside contractors to complete the task. Accounting, inventory, sales, and buying are the only areas where ERP reports can provide details. There are some consumer data there, but it is likely to be minimal.

To some degree, integration can help with the issue of information silos, but it can only go so far. However, some companies have begun to realize that time-consuming workarounds are inevitable disadvantages. The process of running reports through two to three different systems, then exporting the information to Excel, and forming a report takes time and manual errors.

BI systems must address the differences between all of the software systems that business leaders rely on to control their businesses to deliver genuinely accurate reporting that offers a unified view of the business. A successful BI platform should deliver data in real-time and be simple enough to use that everyone in the company can create and change reports without needing specialized skills.

Cloud ERP

As companies move toward Cloud ERP, they must think about the consequences of reporting and analytics. Most tech providers have taken the requisite measures to change the way you access data as they have moved to a cloud-first approach. Businesses that used a cloud ERP framework will no longer render direct database queries using structured query language due to security concerns. This is a technological transition, but it has far-reaching consequences for business intelligence.

As companies move to Microsoft Dynamics 365 Finance & Supply Chain Management from Microsoft Dynamics AX, for example, they will have a variety of options for accessing data and running reports. A better solution for businesses looking for a dependable BI platform with a low total cost of ownership is to look for a robust, validated reporting and analytics product that is optimized for high performance and ease of use.

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Building Powerful BI Strategy

In any company, BI can be used to effectively improve operations.  Everyone will concentrate on the same goals, collaborating with the same KPIs to push action and develop procedures, when the whole team is working from the same strategy and has access to a common source of reality. Although technology is a part of every discussion about business intelligence, it should not be the baseline. Building an effective BI strategy must address the requirements of the organization’s financial and operational decision-makers. It should meet financial and operational reporting needs with powerful and adaptable tools that enable everyone in the company to create and adjust ad hoc reports without requiring advanced training or IT skills.

At Global Data 365, we provide effective business intelligence solutions to meet your company’s needs. Some major questions that make their BI strategy effective are:

What are the record systems of your business data?
These are typically the starting point for creating a cohesive approach to reporting, putting together data that provides business leaders with a comprehensive picture, a unified understanding of what’s going on in the company.

In the company, how does your team use reporting?
Which reports do decision-makers consult on a regular, weekly, or monthly basis? What happens if you need an urgent report?

Are the financial reporting systems capable of completing period-end closing quickly and efficiently?
Is there a way to make the period-end process more efficient and automated? Do the numbers in the general ledger and sub-ledgers of the ERP method immediately connect to the reconciliations and supporting worksheets?

When do the stakeholders receive the information?
Have you ever had a situation where you wanted details right away but couldn’t get it? What were the consequences of the delay?

Is your company thinking of shifting to cloud ERP or cloud CRM system?
If it is so, you must link with a provider who can meet your needs both now and in the future when you migrate to the cloud.

When you answer these questions, it can help you figure out what you want to do with BI in the coming years, as well as the kinds of benefits your company will reap in the short and long run.

Usually, when companies are implementing a BI plan, the finance department’s specific reporting requirements are ignored, but with Global Data 365 onboard that won’t happen, as we prioritize customer satisfaction.

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Where BI fits into your Data Strategy

Home > Blogs > Where BI fits into your data strategy

Where BI fits into your Data Strategy?

July 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.

Where BI fits into your Data Strategy

Traditional data techniques have been based on business intelligence (BI), but the advent of predictive and prescriptive analytics platforms, due in part to machine learning and artificial intelligence, is shaking things up. Also, business intelligence is changing, with features that were traditionally only available on business analytics platforms. Analysts and consultants believe that knowing the differences between business intelligence and other analytics tools. The value each brings to the organization is critical to developing an effective data strategy. 

Here, we will look at where business intelligence fits into the current analytics landscape and how business analytics is changing as tools, strategies, and staff requirements change. 

Business Intelligence vs. Business Analytics: What’s the difference?

In the widest sense, analytics refers to any technology-enabled problem-solving activity. Experts classify analytics into four groups on a scale of one to four, with descriptive and diagnostic analytics on the lower end of the scale and predictive and prescriptive analytics on the higher end. When starting an analytics system, most companies start with BI, which is part of the descriptive process. Business intelligence is the method of transforming data into actionable intelligence that helps an organization make strategic and tactical decisions. A good BI strategy, It’s what makes it possible for a company to collect, analyse, and present data. 

It’s all about the data, according to Beverly Wright, executive director of Georgia Tech’s Scheller College of Business’s Business Analytics Centre. It isn’t attempting to do something other than telling a story about what the data is showing us. While some business people can associate BI with analytics, Wright says data professionals differentiate between the two. Some define BI as providing insight into what has occurred, while others describe analytics, especially advanced analytics, as predicting what will occur in various future scenarios. 

Business Intelligence for Business Use

BI uses more organized data from conventional business platforms, such as enterprise resource planning (ERP) or financial software systems, to provide views into previous financial transactions or other past activities in areas like operations and supply chain management. According to analysts, BI’s importance to companies today stems from its ability to provide insight into such areas and business tasks as legal reconciliation. 

According to Wright, BI tools, like many other parts of the business technology stack have developed to become much more intuitive and user-friendly. She describes that in the past, companies used data scientists to use these systems to create dashboards. They’re now completely automated. As a result, companies can more effectively implement data systems that enable non-technical business owners to use BI tools to generate reports. Obtain much of the information they need without involving data professionals in day-to-day operations. Analysts believe that this alone qualifies BI technologies as critical business tools. 

BI as a Gateway to Business Analytics

While reporting solutions and other BI tools have a position in the enterprise, analysts claim they have limited capabilities. Bain & Co., a multinational management consulting company, estimates that more than half of companies use at least three separate analytics providers to produce performance reports in its 2017 study Six IT Design Rules for Digital Transformation. 

BI tools don’t offer the kind of in-depth data analysis that can lead to new market opportunities and development. According to John Myers, a senior analyst in business intelligence, “BI is not driving sales and innovation.” Enterprise Management Associates employs intelligence. Even though Myers reports that 20% of US businesses are already at the BI level, he believes that most companies do not want to stop using analytics, and attempts are being made there. Users can begin by looking at sales data and then want that data is calculated by state or product, according to Myers. Then they’ll like to see their top 10 customers from the previous year, as well as their common characteristics. Forecast which customers will be in the top 10 in the coming year based on that detail. 

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BI as the Future

While data professionals continue to play important roles in advanced analytics, such as modeling, Myers says their participation varies depending on the business case. To detect possible credit card fraud, for instance, advanced analytics systems rely on unmonitored models rather than data scientists querying the systems. Organizations generally buy off-the-shelf BI products as well as commercial advanced analytics products, Myers adds, but they tend to have their own data professionals build the machine learning and AI capabilities they need because there’s not a set of packages on the market; the products just aren’t there. 

Many BI tools, according to Brahm, are bringing in more and better data signals to generate more reliable, informative reports that blur the boundaries between BI and more advanced analytics. He believes that these new technologies are assisting users in making better decisions by answering questions about how to maximize and optimize the business, such as who the company can target, what promotions are available, and which ones are available to whom. 

Technology organizations are more advanced in their implementation of advanced analytics capabilities, such as machine learning and AI, and are more likely to have done so already. If you find more about how BI is helping to transform businesses, and where BI fits into your data strategy? Contact us. 

How Global Data 365 can help you?

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

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Why Is Good Data Management Essential For Data Analytics

Home > BlogsWhy Is Good Data Management Essential For Data Analytics?

Why Is Good Data Management Essential For Data Analytics?

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.

Why Is Good Data Management Essential For Data Analytics

Today, Businesses have more data at their disposal than ever before. Over time, businesses that can efficiently use data as a strategic advantage can eventually achieve a competitive edge and outperform their rivals. Business administrators, on the other hand, must add order to the chaotic world of various data sources and data models to do this. Data management is the general term for this method. Data management is becoming an essential component in successful business management as the amount of available data grows.

On the other hand, a lack of effective data protection can lead to incompatible or unreliable data sources, as well as data quality issues. These challenges can hinder an organization’s ability to derive value from data-driven insights, recognize patterns, and spot problems before they become major issues. Worse, bad data management can lead to managers making decisions based on incorrect assumptions.

Availability of Data

The emergence of systems, such as ERP, CRM, e-commerce, or specialized industry-specific applications, is causing such problems. When you add web analytics, digital marketing automation, and social media to the mix, the data volume skyrockets. When you add in external data from vendors and service providers, it becomes unmanageable.

Many businesses understand the importance of using externally sourced third-party data to supplement and extend the context of knowledge they already have. However, it’s difficult to imagine taking that step without first having a grasp on the organization’s current data. Bringing all of this uncertainty under control is a key first step in implementing a strategic data analytics program. That is a two-step method from a high-level perspective. To begin, you must collect all of the data and store it in a centralized location. This includes filtering, transforming, and harmonizing data so that it blends to form a coherent whole.

Secondly, the data must be available to users around the enterprise so that you can put it to good use and add value to the company. In other words, you must implement processes that allow users within the organization to access the information easily, efficiently, and with enough versatility that they can evaluate and innovate without extensive IT training. To ensure efficiency, you must identify and implement these two aspects of data management individually. Flexibility and usability result from a pre-built data management process and interface; the quicker you assemble and clean up the data, the easier the data will start producing value for the business.

Multiple Systems

When a company runs several processes, data processing becomes a problem. As previously stated, this may include ERP, CRM, e-commerce, or any other software framework. It’s also usual for many companies to use several systems to accomplish the same job. Different ERPs may be used by different divisions or corporate agencies operating under the same corporate name. This is especially true when it comes to mergers and acquisitions.

Many businesses would like to perform reports against historical data stored in a defunct database. Since migrating accurate transactional data to a new ERP system is not always feasible, many companies use a workaround or simply go without, leaving important legacy data out of their existing reporting systems. Multiple data models are invariably present when multiple software systems are involved. A clear report detailing all of the company’s customers becomes a little more complex. If one ERP system has different tables for clients and vendors, while the other merges them into a single table (using a single field to classify them as customers, vendors, or both). Before loading data into a centralized repository with a uniform approach of the customer, you’ll need to extract and transform data from those two ERP systems. The process must include a type of translation in which data structures and semantic models are aligned.

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Extracting, Transforming, and Loading Data

The term “ETL” refers to the method of processing, converting, and loading data into a central repository. ETL is one of the most important aspects of a data warehouse, and it’s necessary for businesses who want to provide dependable, scalable, and reliable reporting. A data warehouse that embraces a complete view of data from across the enterprise, irrespective of which system it came from, is the end product of a very well ETL process.

This procedure often connects records that are spread through different systems. It is normal, for example, to designate master records with unique identifiers that aren’t always consistent across two or more systems. The central repository must link those two documents and classify them as the same individual to create reports that provide a full image of that customer.

Diverse Options

You’ll be confused if you search “BI solutions”, attend a related tradeshow, or read quite a lot of BI reports. There are several options available. But how do you know which approach to business intelligence is right for you?

The solution is to avoid putting the cart before the horse. First, assess the requirements. Evaluate them from a market and a technological standpoint, and then use the results of that exercise to guide the quest for approaches and solution providers.

Self-Service Reporting and Data Visualization

The second important aspect of good data management is to make information readily available to users across the enterprise. Provide them with resources that allow them to innovate and add value to the company. In fact, data visualization tools are becoming a strong tool for informing, aligning, and encouraging leaders across entire organizations. Data visualization tools are now simpler to deploy, maintain, and use than ever before.

Until recently, installing and maintaining a data warehouse facilitated a significant investment in highly specialized technical services. A reliable computing infrastructure capable of handling the necessary workloads. Legacy tools necessitated a thorough understanding of the source data as well as meticulous preparation ahead of time to decide how to use the resulting data. Modern data visualization tools are extremely efficient and adaptable, requiring far less advanced IT knowledge. Many of the tasks associated with designing dashboards, graphs, and other visualizations can now be performed by frontline users who communicate with the data daily.

Data Management with Jet Analytics

Both aspects of the data management process as described here, are provided by Jet Analytics from Global Data 365. For starters, it offers a robust framework for constructing a data warehouse. With developing and managing the ETL method, bringing data from various fragmented systems under one roof for simple, relevant reporting and analysis. Along with that, Jet Analytics provides a robust reporting package that allows practically everyone in the company to create powerful visual dashboards, analyses, and ad hoc analysis.

To find out more about how Jet Analytics can help your company manage the complexity of multiple data sources, contact us.

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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.


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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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.


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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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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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. 

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