BI

Limitations of Power BI

Limitations of Power BI – Are They Risky?

Limitations of Power BI

If your business is considering implementing Microsoft’s Power BI analytics framework, you must understand the level of complexity and limitations of Power BI involved in successful integration. Power BI is a many-month software project based on a complex mix of technological 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 and what are some limitations of 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-premises and cloud systems.

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

What is Jet Reports?

Jet Reports, on the other hand, is a dynamic business intelligence tool that goes beyond conventional financial reporting. With its user-friendly interface and Jet Dashboard Designer, organizations can leverage its capabilities for comprehensive financial reporting and analysis. Jet Reports is known for its adaptability and ease of use, making it an asset for businesses aiming to enhance their reporting processes. 

We are going to give you three scenarios where a user should consider switching to Jet Reports or Jet Analytics: 

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 to overcome the limitations of Power BI. 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 technical questions, but the solutions have long-term consequences, and it’s always difficult to adjust 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 and limitations of Power BI, 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 longer 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.

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 subtotals, 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. Some more limitations of Power BI such as 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 Limitations of 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 and limitations of 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

Why Power BI is a Better Choice than Excel for Analytics

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 vast volumes of digital data is useless unless companies can leverage it effectively. Business intelligence tools, such as Power BI and Excel, can play a crucial role in this process.

 

Are you planning to introduce a platform to assist you in extracting valuable, actionable insights from your data? You have arrived at the right place. By harnessing the capabilities of Power BI and Excel, you can transform raw data into meaningful visualizations and reports, empowering your organization to make informed decisions based on real-time analytics.

 

Explore how Power BI and Excel can work together to unlock the full potential of your data, streamline your reporting processes, and enhance your business strategies. Let’s embark on this journey to data-driven success! 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.

Why should you Choose Power BI over Excel?

Power BI has many benefits to offer compared to 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 produced can be modified 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 public or only a small group of associates.
  • Downloading and Exporting Dashboards: The Power BI Service lets you download and transfer dashboards in various formats. The dashboards can be submitted as a .PBIX file or exported as a PowerPoint presentation, PDF, or event print.

In 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 power bi training for your needs or for more information, contact us today!

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artificial intelligence vs business intelligence (AI vs BI)

Artificial Intelligence vs Business Intelligence

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 analyze 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 analyze 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 analyzing 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.

Artificial Intelligence in Business Intelligence (AI in BI)

Artificial Intelligence vs 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 centered 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

Business Intelligence with Power BI: Unlock Data Insights

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.  

Business Intelligence with Power BI: Key Advantages

There are many options available for organizations for business intelligence then Why Power BIPower 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. 

- 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. 

Learn how to leverage Business Intelligence with Power BI

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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Increase Revenue with Financial Reporting Tools in 2021

Increase Revenue with Financial Reporting Tools

Increase Revenue with Financial Reporting Tools in 2021

Profitable companies recognize that technology can be a strong competitive game-changer. Technology is widely thought of as a crucial enabler of performance. It is, but software technology also provides new revenue streams. Financial Reporting tools and technologies are an underrated key to unlocking value as businesses aim to maximize sales, expand their customer base, and retain customer loyalty. 

 

Listed below are the five main strategies for increasing profit using your ERP system and comprehensive financial reporting tools. 

- Drive Sales Team

There is a gap between different silos within a company in far too many cases. For example, between sales and finance or between sales and supply chain management. When information isn’t passed back and forth effectively, revenue opportunities are often lost. Think about what happens when a user attempts to order an item that is no longer available. Sales should, in principle, have good visibility into planned delivery dates and be able to position orders on an available-to-promise (ATP) level without compromising customer satisfaction. This fits well if the ATP numbers are reliably correct, but if they aren’t, it can lead to missed delivery dates, cancelled orders, and disappointed customers. 

 

If a business is mindful of the problem, sales can be notified, and consumers can be directed to alternative products. Direct replacement object feature is available in many modern ERP systems. MD365 Finance & Supply Chain Management (Microsoft Dynamics 365 Finance & Supply Chain Management) is a Microsoft Dynamics 365 Finance; it is referred to as an alternate item (F&SCM), but the effect is the same. However, without good insight into ATP accuracy and missed delivery dates, management can be unaware that a problem exists. 

 

What percentage of delivery dates are missed due to incorrect ATP numbers, and what is the root cause? Off-the-shelf ERP reports are unlikely to provide you with enough detail to determine if this is happening, why it is taking place, and whether it needs to be addressed. Both the sales and finance divisions have good insight into the program’s success by closely tracking it with custom reports. 

- Customer Demands Compliance

Customers usually also create vendor specifications to simplify the management of incoming inventory. Electronic Data Interchange (EDI) is the default for obtaining the sales order and delivering advanced shipping notices (ASNs) to customers used by big-box retailers. Larger consumers also enforce barcoding conditions. Although those are well-known examples, large companies are increasingly requiring suppliers to adhere to other requirements as well. Walmart declared its plan to reduce CO2 emissions in 2017. Project Gigaton, as the program is called, aims to reduce the company’s carbon footprint across the supply chain. In other words, Walmart will demand that its suppliers keep track of the carbon footprint of the goods they sell to the company. 

 

Only a few ERP vendors have built processes into their software to monitor this type of data. It is starting to happen in the biggest, most costly programs, but for most organisations, the problem can be solved with a blend of custom user-defined fields and versatile financial reporting tools. Whatever potential requirements can entail, reporting tools may help companies remain in compliance. 

 

Only a few ERP vendors have built processes into their software to monitor this type of data. It is starting to happen in the biggest, most costly programs, but for most organisations, the problem can be solved with a blend of custom user-defined fields and versatile financial reporting tools. Whatever potential requirements can entail, reporting tools may help companies remain in compliance. 

- Understanding Customer Demands

From the day of the outbreak of the COVID-19 pandemic, most firms ramped up their efforts to boost customer loyalty, with a particular emphasis on their biggest and most profitable customers. Smart companies searched for ways to diversify sales and preserve consumer loyalty as a wave of shutdowns and rapid swings in demand swept the economy. Understanding who the most valued clients are is the first step in attending to them. 

 

Basic ERP reports aren’t designed to include that degree of complexity and depth. The data is available, but it may be distributed around your organization. When many software systems are involved, it’s difficult to get a comprehensive picture of the situation. Nonetheless, having that exposure is important for customer-focused companies. It’s possible thanks to reliable reporting tools. In addition, having easy access to consumer data opens up new possibilities. 

 

The situation has drastically changed in the global marketplace. Although determining the effectiveness of media ads and direct mail remains difficult, digital marketing has revolutionized the business world with possibilities for targeting customers with highly targeted messages and assessing the effectiveness of such promotions quickly. 

 

To provide a basis for digital marketing automation, a new generation of CRM software has emerged. Despite this, many businesses also regard ERP and CRM as separate roles. As a response, there are untapped opportunities to recognize buying habits and common desires among subsets of consumers and create revenue-generating marketing strategies to meet their needs. The correct reporting tools can act as a catalyst for data to be aligned through multiple silos within an enterprise. 

- E-commerce Integration

With the arrival of COVID-19, online shopping has exploded. Many forward-thinking businesses were already trying to strengthen their e-Commerce capabilities before the pandemic. The coronavirus, on the other hand, was a call to action for anyone with a small online presence. Many ERP vendors have taken the finest integration approach to e-Commerce, allowing consumers to choose from among a variety of online sale platforms. 

 

This allows sellers more versatility and, in certain cases, provides new business possibilities (via Amazon or eBay, for example), but that also makes it more difficult to get a clear picture of product revenue across platforms. When businesses use the automated reporting tools offered by each e-commerce platform provider, they get a much-distorted vision of their online business. Business executives will obtain consistent visibility into all their sales operations, through all sales channels, including e-commerce, by putting data together under one platform and then validating it so that it offers an apples-to-apples comparison. 

- Data Visualization

Efficient reporting tools ensure that important performance metrics are accessible across the entire enterprise. It is more important than ever for business leaders to have a real-time understanding of what is going on. Management needs to know whether the supply chain isn’t running smoothly, whether backorders are piling up, or whether consumer quotes aren’t converting into purchase orders. 

 

Simple ERP and CRM report also provide routine preliminary data, but they fall short when it comes to calculating the distinctive numbers and features that are specific to each sector. The ability to run ad hoc queries, ask questions specific to your company, and receive answers that represent reliable, up-to-date data from your ERP, CRM, and other systems is critical to running a successful business in today’s fast-paced world. 

- Automate Processes

Reporting takes up a lot of time for most organisations because it requires time-consuming manual procedures such as copying and pasting data from exported CSV files or device reports or manually inserting data into Excel spreadsheets. These types of processes often create errors, resulting in a lack of trust in the data being recorded. Business leaders often share dissatisfaction with their software systems’ inability to provide clear information on time. If an organisation has straightforward, reliable, and timely information based on real-time data, everybody in the organization will function on the same collection of facts. As a result, the management team will be able to spend less time discussing numbers and more time-solving issues and improving business outcomes. 

In Conclusion

Global Data 365 connects to over 140 different ERP systems to provide financial reporting tools. For nearly three years, we have been assisting business leaders in obtaining the data they need effectively, reliably, and efficiently to improve financial knowledge and increase sales. Contact us today for a live demo if your company wants to boost sales in the coming year 

Get 30 days free upgrade to Jet Reports.

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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.

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