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Microsoft 365 Copilot

Home > Blogs > Unleashing Microsoft 365 Copilot: Revolutionizing Your Productivity

Microsoft 365 Copilot: Revolutionizing Your Productivity

March 20, 2024

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.

Microsoft 365 Copilot

In the ever-evolving landscape of digital productivity tools, Microsoft 365 stands tall as a comprehensive suite that empowers businesses worldwide. Among its many offerings, Microsoft 365 Copilot emerges as a transformative solution, promising to revolutionise the way organisations manage their Microsoft 365 environment.

What is Microsoft 365 Copilot?

Microsoft 365 Copilot is a revolutionary management tool designed to simplify the administration of Microsoft 365 services including those crucial for customer relationship management (Microsoft Dynamics 365 CRM), finance and operations (Microsoft Dynamics 365 F&O), and business central management (Microsoft Dynamics 365 BC).

It comprises three main components: Microsoft 365 apps (like Word, Excel, Teams), Microsoft Graph (incorporating files and data across the M365 environments), and OpenAI models (including ChatGPT-3, ChatGPT-4, DALL-E, Codex, and Embedding), all hosted on Microsoft Azure.

Unlike traditional management methods, Copilot offers a more efficient and streamlined approach, allowing organizations to focus on their core business activities.

M365 Copilot Features:

Effortless Automation: Copilot improves productivity by automating repetitive tasks and workflows, allowing employees to focus on more strategic initiatives.

Reduced Cost and optimizing Resources: It helps organizations save costs and optimize resources by streamlining Microsoft 365 management processes.

AI-powered insights: It leverages AI to unlock valuable insights from your Dynamics 365 sate. Gain real-time customer behavior trends in Dynamics 365 CRM or identity financial optimization opportunities in Dynamics 365 F&O.

Enhanced Security: It empowers businesses to maintain robust security within Dynamics 365. Leverage advanced monitoring and threat detection to keep your data safe.

Streamlined Collaboration: Copilot fosters seamless collaboration within Dynamics 365 applications. Imagine teams working together on sales proposals in Dynamics 365 CRM or project plans in Dynamics 365 Business Central with real-time edits and suggestions.

Microsoft 365 Copilot

How Much Does M365 Copilot Cost?

Microsoft 365 Copilot is available as part of the Microsoft 365 Enterprise subscription, which offers a range of plans tailored to meet the needs of businesses of all sizes. The cost of Copilot varies depending on the specific plan chosen, with pricing starting at $30 per user per month for the basic plan.

Future plans include tailored Copilots for Dynamics 365, Power Platform, security suite, and Windows OS.

How many Modes of Interaction are in Copilot?

-M365 Copilot system offers two main interaction modes: Direct engagement within applications like Word and Teams, and accessibility through Microsoft 365 Chat in Teams

-Within applications, users seamlessly integrate Copilot for tasks like drafting documents and summarizing meetings in real-time.

-The second method of interaction is through Microsoft 365 Chat, functioning as a chatbot within Teams. Microsoft 365 Chat serves as a versatile tool for natural language interactions, enabling users to search across diverse sources.

-Copilot enhances productivity in Word by offering text suggestions, facilitates collaboration in Teams with real-time meeting summaries, and streamlines PowerPoint presentations.

-In addition to automation, Copilot also provides advanced monitoring and reporting capabilities, allowing you to keep track of service health and performance metrics. This information can help you identify potential issues before they escalate, ensuring that your Microsoft 365 environment remains stable and reliable.

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Conclusion

M365 Copilot is a transformative tool that empowers businesses to unlock the full potential of Dynamics 365. With its innovative cutting-edge functionality and user-friendly interface, Copilot is empowering teams to collaborate more effectively and achieve their goals efficiently.

To experience the benefits of M365 Copilot for your business and drive growth, contact us at Global Data 365 today. Our team is ready to help you leverage this powerful tool to take your productivity to new heights.

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Management Reporter Jet Reports

Home > Blogs > Management Reporter vs. Jet Reports

Management Reporter vs. Jet Reports

Dec 21, 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.

Management Reporter Jet Reports

Importance of Reporting Tools in Business Management

In today’s dynamic business environment, the significance of robust reporting tools cannot be overstated. Efficient financial reporting software and business intelligence reporting play a pivotal role in business management; aiding organizations to make informed decisions, monitor performance, and strategize for the future. Two prominent players in the reporting tools arena are Management Reporter and Jet Reports.

What Is Management Reporter?

Management reports are essential components of business intelligence, providing a comprehensive overview of an organization’s financial performance. Management Reporter, a powerful financial reporting tool, stands out with its versatile report designer, enabling the creation of dynamic reports tailored to specific needs.

What are 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.

Management Reporter vs. Jet Reports: Key differences

Management Reporter (MR) is a standalone application from Microsoft that pulls data from Dynamics GP, while Jet Reports is an Excel add-in that pulls data into Excel from Dynamics GP. Jet Reports works with Microsoft Dynamics GP 9 (November 2005 release) and later. Both tools were designed specifically for working with Microsoft Dynamics data and integrate seamlessly with Dynamics GP, but there are several key differences.

  • Building reports – MR reports are built in components one-by-one, starting with defining rows, then defining columns and trees, while Jet Reports are built in whole, not in components, cutting in half or more the time it takes to create a report.
  • Previewing reports – You cannot preview reports in MR, unless you assign a row to an actual report. In Jet Reports, you can easily toggle between design mode and report mode to check and see if the formatting and formulas you used are working as desired.
  • Adding new accounts – When a new account is added in Dynamics GP, it must be manually added to Management Reporter. Due to the way MR is structured, not all data changes in Dynamics GP will be tracked on the change tracker and do not update the data mart, which is the tool that syncs MR with Dynamics GP. At times there might be hard coding involved to change how the data mart pulls data from Dynamics GP. On the other hand, Jet Reports has the ability to refresh data from Dynamics GP at any time and new accounts will show up, without any hard coding or manually checking for new accounts.
  • Data extractions – MR connects directly to your instance of Dynamics GP, however you can only create reports in MR using that data – you cannot pull from any other source. In contrast, Jet Reports allows you to pull data from numerous sources and consolidate it together, rather than just pulling data from Dynamics GP for building reports. Jet Reports can extract any data from Dynamics GP into Excel, and when the data refreshes, so does your pivot table.
  • Working in Excel – When building reports in MR, you can link to an Excel spreadsheet as a reference and pull in data from a spreadsheet. MR users often find themselves switching between MR and Excel when building reports to pull in data from different sources that might have been exported into Excel. With Jet Reports, you’re working directly inside Excel and can pull data from a variety of locations in addition to from Dynamics GP. This creates a smoother workflow and reduces the need to switch between applications to find the necessary data for a report or dashboard. Additionally, with designing Jet Reports inside Excel, you can take advantage of formatting options, copying and pasting, and other functionalities you are used to in Excel.
  • Compatibility – The most recent version of MR reporter is Management Reporter 2012, last updated in 2014, and is compatible with Dynamics AX 2009 and 2012, Dynamics GP 2013 to 2018, and Dynamics SL 2011 and 2015. Jet Reports is regularly updated by insightsoftware, and is compatible with all Microsoft ERPs including Dynamics 365 products, Dynamics NAV, Dynamics GP, Dynamics AX, Dynamics CRM, and Dynamics SL.
  • Migrating to a newer ERP system – Dynamics GP is no longer supported by Microsoft and many companies realize they will eventually need to migrate to a newer ERP such as Dynamics 365 or choose a new ERP altogether. MR is not supported by newer Microsoft products, and as such, none of your reports built inside MR will migrate with you to a new system. On the other hand, all worked completed in Jet Reports carries over into any ERP you choose since it is an independent platform and can pull data from any source; all you would have to do is update the data connectors.

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Conclusion

In conclusion, while both Management Reporter and Jet Reports serve essential roles in the realm of reporting tools, the latter stands out as a superior choice for businesses aiming to elevate their business management with efficient financial reporting and business intelligence capabilities. The decision ultimately hinges on the specific needs and priorities of each organization, but Jet Reports’ user-friendly features and comprehensive functionality position it as a strong contender in the reporting tools landscape.

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Data Mining

Home > Blogs > What is Data Mining?

What is Data Mining?

Dec 21, 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.

Data Mining

Data mining refers to the process of extracting valuable patterns, information, and knowledge from large datasets. It involves uncovering hidden trends, correlations, and associations within the data, providing organizations with actionable insights for informed decision-making.

How Data Mining Works?

  • Data Collection: This involves gathering relevant data from various sources, such as databases, logs, and external datasets. The richness and diversity of the data contribute to the effectiveness of the mining process.
  • Data Cleaning: Identifying and rectifying errors, inconsistencies, and missing values in the dataset is crucial. Clean data ensures the accuracy and reliability of the mining results.
  • Exploratory Data Analysis: Before diving into the modeling phase, analysts perform exploratory data analysis to understand the structure, relationships, and potential patterns within the dataset. This step guides subsequent modeling decisions.
  • Model Building: Mathematical models or algorithms are created in this step to identify patterns and relationships within the data. This phase requires a deep understanding of the dataset and the goals of the analysis.
  • Pattern Evaluation: The effectiveness of the models is evaluated in terms of their ability to reveal meaningful insights. This step ensures that the patterns identified are relevant and reliable.
  • Knowledge Deployment: Implementing the discovered knowledge is the final step, where insights gained from the analysis are applied to drive decision-making and improve business processes.

Data Mining Techniques

Data mining employs various techniques, including:

  • Classification: This technique categorizes data into predefined classes or groups based on identified patterns. It is often used for tasks such as spam filtering or customer segmentation.
  • Clustering: Grouping similar data points together helps identify inherent structures within the dataset. This technique is valuable for market segmentation and anomaly detection.
  • Regression: Predicting numerical values based on identified relationships within the data. It is widely used in areas such as sales forecasting and risk assessment.
  • Association Rule Mining: This technique discovers relationships and patterns that frequently co-occur in the dataset. It is applied in areas like market basket analysis in retail.

The Process of Data Mining

  1. Data Collection: Gathering relevant data from diverse sources sets the foundation for meaningful analysis. The more comprehensive the dataset, the richer the insights.
  2. Data Preprocessing: Cleaning and transforming the data for analysis is essential for accurate results. This step involves handling missing values, outliers, and ensuring data consistency.
  3. Exploratory Data Analysis: Understanding the characteristics and relationships within the dataset guides subsequent modeling decisions. Visualization tools are often employed to aid in this exploration.
  4. Model Building: Developing algorithms or models to identify patterns requires expertise in both the domain and the intricacies of the data. This step is crucial for accurate and meaningful results.
  5. Validation and Testing: Evaluating the model’s performance on new data ensures its generalizability. Techniques like cross-validation help in assessing the model’s robustness.
  6. Implementation: Deploying the knowledge gained from the analysis for practical use completes the data mining process. This step often involves integrating insights into existing business processes.

Applications of Data Mining in Business Intelligence

The data mining process is fundamental to strengthening business intelligence, offering a range of applications that enhance decision-making and operational efficiency:

  1. Strategic Decision-Making: Leveraging data-driven insights enables organizations to make well-informed decisions, fostering strategic planning and optimizing resource allocation for sustained success.
  2. Customer Segmentation: Identifying and comprehending diverse customer segments are pivotal. Data mining facilitates targeted marketing strategies and cultivates personalized customer experiences, driving customer satisfaction and loyalty. The reporting capabilities of business intelligence tools, such as Jet Analytics, offer a robust solution for creating customer-centric reports. By delving into customer data, organizations can tailor their strategies enhancing overall customer satisfaction.
  3. Fraud Detection: Uncovering anomalies and unusual patterns in financial transactions is a critical aspect of business intelligence. Data mining plays a crucial role in proactively identifying fraudulent activities and safeguarding financial integrity.
  4. Market Analysis: In a dynamic business environment, analyzing market trends and predicting future conditions is indispensable. Data mining empowers businesses to stay competitive by providing insights that aid in adapting to changing market landscapes. Integrated reporting solutions, such as Jet Reports, for visualizing and interpreting market data. Organizations can generate reports that highlight key market trends, enabling them to make proactive decisions and stay ahead in dynamic market scenarios.

Data Mining Uses

Data mining finds applications across various industries, including healthcare, finance, retail, and manufacturing. It is utilized for:

  • Healthcare: In healthcare, data mining is instrumental in predicting disease outbreaks and optimizing patient care. By analyzing vast datasets, it contributes to improved public health initiatives, early detection of health trends, and personalized treatment strategies.
  • Finance: Data mining plays a crucial role in the financial sector by identifying fraudulent transactions and predicting market trends. These insights aid in effective risk management, fraud detection, and the formulation of sound investment strategies, contributing to the stability of financial systems.
  • Retail: In the retail industry, data mining is employed to analyze customer behavior and optimize inventory management. Understanding consumer preferences and purchasing patterns enhances the overall retail experience, enabling businesses to tailor their offerings and improve customer satisfaction. This can be further visualized with Power BI Dashboard that can be custom made for your preference.
  • Manufacturing: For manufacturing, data mining is utilized to improve production processes and predict equipment failures. By analyzing data related to machinery performance, production workflows, and quality control, manufacturers can enhance efficiency, reduce downtime, and make informed decisions to optimize operations.

Pros and Cons of Data Mining

Pros:

  • Informed Decision-Making: The insights gained from data mining empower organizations to make informed decisions, leading to strategic advantages. This results in a more agile and adaptive approach to changing market conditions.
  • Efficiency: By optimizing processes and identifying areas for improvement, data mining contributes to increased operational efficiency. Streamlining workflows and resource allocation enhances overall business productivity.
  • Predictive Analysis: The ability to predict future trends and behaviors enables proactive decision-making and planning. Businesses can anticipate market shifts, customer preferences, and potential challenges, staying ahead of the curve.
  • Innovation Catalyst: Data mining often sparks innovation by revealing hidden patterns and opportunities. Organizations can uncover novel ideas and strategies that drive product development and business growth.

Cons:

  • Privacy Concerns: The use of personal data raises ethical and privacy concerns, necessitating careful handling and compliance with regulations. Striking a balance between data utilization and privacy protection is an ongoing challenge.
  • Complexity: Implementing data mining processes can be complex, requiring skilled professionals and significant resources. The intricacies of algorithmic models and the need for specialized expertise may pose challenges for some organizations.
  • Data Accuracy: The accuracy of results is highly dependent on the quality and precision of the input data. Ensuring data accuracy remains a perpetual challenge, as inaccuracies in the input can lead to misleading insights and flawed decision-making.
  • Integration Challenges: Integrating data mining into existing systems and workflows can be challenging. The process may disrupt established routines, requiring careful planning and effective change management to mitigate potential disruptions.

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Conclusion

In conclusion, data mining is a dynamic process that transforms raw data into actionable intelligence, driving informed decision-making in various industries. While offering numerous benefits, careful consideration of privacy and data accuracy is essential. As businesses continue to leverage data mining for strategic advantage, a balanced approach that addresses both the advantages and challenges will be crucial for success in the data-driven landscape.

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Jet Training
Customer Success Stories

See What Our Satisfied Customers Have to Say about our Jet Training Program. 

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.
YADİGAR KÖKSAL
YADİGAR KÖKSAL
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.
LAWRENCE KILINGA
LAWRENCE KILINGA
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.
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Overcome Your Fear of Advanced Analytics

Home > Blogs > Overcome Your Fear of Advanced Analytics

Overcome Your Fear of Advanced Analytics

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.

Overcome Your Fear of Advanced Analytics

We have all read that information is nothing unless it can be turned into meaningful data. It can be daunting in business to have access to so much data. How do you know where to begin when you’re bombarded with information It’s possible to get lost in the midst of it all, overwhelmed by the flood of data and uncertain where to start looking for ways to improve business processes. That is where you can utilize advanced analytics.

Advanced analytics is the automated or semi-autonomous analysis of data using materials and tools that go beyond traditional business intelligence (BI). It’s a catch-all word for a number of analytics sub-fields that collaborate using predictive capabilities. High-level approaches and software forecast future patterns, activities, and events, allowing businesses to create “what-if” models and estimates to future-proof their operations.

Advanced analytics involves data mining, big data, and predictive data analytics, which allows you to mine your data for deeper, more analytical, and eventually actionable insights. Whereas traditional analytical methods show you where you’ve been, advanced analytics focuses on where you’re going next, providing insight into what could happen based on a variety of potential opportunity scenarios.

Advanced analytics includes newer technology such as machine learning and artificial intelligence, as well as visualizations. In reality, advanced analytics encompasses so many areas and has such a wide range of applications that it has a variety of applications, including marketing, inventory and warehousing, and manufacturing. Keeping this in mind, it appears that any company should be interested in using advanced analytics to solve critical business problems.

Assumptions Regarding Advanced Analytics

Many CFOs still have assumptions about advanced analytics:

– They cost money.
– They take time to deploy.
– They are complex to understand.

Advanced Analytics is Costly

You might be wasting money if you’re sitting on a heap of useful data and aren’t analysing it because you’re afraid of investing in advanced analytic tools. Your data is your most valuable resource for uncovering answers to your potential questions by properly processing your history.

Many enterprise resource planning (ERP) systems quickly integrate with external services that are both dependable and cost-effective. When you are likely to afford less time doing the hard work and more time understanding the report findings, the rewards can quickly outweigh the costs.

Deployment takes Time

Yes, some technology takes a long time to get up and running. Running out the first ERP or switching to a new one is a lengthy process that can take months to complete, and that’s assuming everything goes smoothly.

This is not the case for advanced analytics. Many of these systems can be set up in a matter of hours, if not minutes, and begin crunching the data right away.

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Complex to Understand

Although advanced analytics was developed to use complex formulas and equations, they are used to provide the end-user with data that is simple to understand. In reality, several advanced analytics user interfaces are built to help people from all walks of life use data to search for information.

Enterprise solutions can also assist users in learning techniques by assisting them in selecting and processing appropriate data from a variety of sources. The end-user’s experience will be simple to navigate, regardless of the technicality of what advanced analytics might be doing in the context.

Still Having Doubts?

If you’re still having doubts about using advanced analytics even after clearing out the assumptions, we are here to clear them out.

Begin by gathering the information you’ll need to examine. For your business, this may have been a time-consuming process in the past. Data is stored in an ERP (or two) as well as other diverse relational databases that don’t always get along. As a result, putting together the data could have required many data backups and several hours of manipulation to get it into the format you need. If the data changes during this phase, for example, if you receive a late invoice payment that still counts against the month you’re working on, you’ll have to restart the whole process.

Using Global Data 365’s finest reporting systems, you can connect data from more than 140 ERPs and EPMs, as well as other relational databases, into one automatic report that lives inside the framework of Excel or displays in a readily available web-based dashboard. Dynamic links are used in our solutions to extract real-time data from your ERP, connect it to other sets of data, and deliver the accurate reports you require based on safe and simple-to-assemble parameters.

With one click, you can check your reports. Return information for a single account, a collection, or a wildcard quest. It’s all designed to offer users quick and easy access to their data so they can spend less time figuring out what is going on and more time predicting the future.

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Power BI with Jet Analytics

Home > Blogs > Power BI with Jet Analytics

Power BI with Jet Analytics

May 24, 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.

Power BI with Jet Analytics

Business intelligence is a much better and less expensive choice than data warehousing for 90% of small to mid-size businesses. Both of these systems have the same overall goal in mind: to improve data analysis. The immense effort and cost needed to define the data tables and relationships required to drive analytics put data warehousing out of reach for most businesses. Due to the extreme minimal effort and expense needed to get it up and running, business intelligence is becoming the choice of small to mid-size companies, irrespective of which of the two most popular options are used.

Jet Analytics from insightsoftware (previously Jet Global) and Power BI from Microsoft are the two most popular business intelligence options in the Microsoft Dynamics environment. Jet Analytics can use either Excel or Jet Reports as a reporting tool, allowing you to have the best experience. Jet Analytics uses pre-defined data cubes to describe the patterns in the data necessary for reporting. Because the table relationships required for accounting, which are focused on financial processes, are not always the same as those required for business analysis, which could be more operational, this method works. This method has many disadvantages, including a higher initial cost, more work to create new data relationships into the data cubes, and the fact that data is only as current as of the last update. A major benefit is a simplicity with which new reports can be created if they match the data cubes, as well as the improved accuracy since the reports are run against a replica of the output database rather than the live database itself. Data can be processed into data cubes from a variety of sources, not all of which are accounting systems.

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

Benefits of Power BI

Power BI depends on one or more databases to provide real-time or near-real-time data. This means that data is updated in real-time, but output for more detailed reports will not be optimal. Almost any form of the report can be created and distributed through the web or mobile devices. Every consumer can create their own dashboards, each with its own unique insight. It is possible to set up alerts. The details behind the reports can be drilled down by users. To use Power BI, you will need an Office 365 subscription.

You cannot really go wrong anyway. Invest a little more upfront to identify data relationships using data cubes in Jet Analytics, or subscribe to Office 365 and use Microsoft BI Power to provide your users real-time access to important analytical data. To explore more about these better, less expensive alternatives for your company, we offer 30 days free trial license for you to test it on your very own database or get a personalized training for yourself.

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Optimize Processes with Data Visualization

Home > Blogs > Optimize Processes with Data Visualization

Optimize Processes with Data Visualization

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.

Optimize Processes with Data Visualization

Every aspect of a company relies on making prompt, well-informed decisions. Data is at the center of the financial services sector. Traditional business intelligence (BI) methods aren’t up to the task with so much data to rummage through. These techniques were designed for tabular reporting and can only handle small volumes of homogeneous data; they also require advanced technical expertise. Today’s software can process and interpret massive amounts of data in real-time, with a level of elegance previously unseen. According to a report conducted by Gartner on the top priorities of CFOs, here’s what they looked at:

– Enhancing Financial Analytics:
Even after a 50% rise in financial analytics expenditure in the last three years, only a few businesses have advanced analytics capabilities. As analytics becomes a central responsibility of the finance department, this must change.

– Reorganizing Finance Teams:
Traditional approaches for coordinating and using finance teams are becoming less effective as the popularity of finance teams grows. To stay relevant, the department needs a shakeup from the top down.

– Finance Technology Optimization:
Finance teams must maximize the value of their ERP systems while also adopting newer innovations and planning to become more tech-savvy. If this isn’t done, the finance department will become less intelligent and agile.

Any of those projects could keep a CFO busy for a year without yielding much progress. However, if such executives consider these problems analytically, realizing how the challenges and goals intersect, a surprising approach emerges, data visualization.

Data Visualizations

There has almost certainly been some kind of data visualization for as long as there has been data. Charts and graphs have recently become commonplace in business due to Excel spreadsheets. Users soon realized that visual interfaces help them understand complex information. Instead of manually examining a spreadsheet, they could quickly recognize the key takeaways by looking at a pie chart. Digital visualizations provided the finance team with a completely unique outlook on data and a game-changing method for decision-making, compared to what had previously been available.

Today, visualizations have taken yet another step forward, possibly the most important yet. Advanced visualization features are included in today’s top financial reporting tools, which run on top of ERP and beyond the constraints of Excel. Such visualization tools do more than improve on what has come before; they turn the relationship between the finance team and the data on which it relies more highly than it has ever been.

Advances in Data Visualizations

So, what’s the difference? To begin with, visualizations have progressed well beyond basic graphs and maps. They can now visualize data in new systems that provide more context and information. Users can view the optimal visualization to encompass the data rather than trying to settle for a sufficient option with this enlarged toolkit at their disposal.

After you have made that decision, creating the visualization is nearly seamless. It only takes some clicks to move data from one area to another in several cases, rather than a lengthy manual process. This not only saves time and eliminates mistakes, but it also helps everyone inside or outside the finance department to create their own visualization without any need for advanced training. Lastly, and perhaps most critically, visualizations have moved to the foreground of decision-making. The finance members can quickly integrate them into financial reports and structure them to optimize the insights they contain as well as the ease with which they can be extracted. The design features within such reports are also not static. They update themselves as new information becomes available, making them more like interactive indicators that monitor key metrics in real-time than visualizations.

Everything in today’s visualizations is vastly superior to previous versions. Despite this, it’s always easy to underestimate their effect on the economy. The CFO, the finance team, and the company as a whole are all involved.

Using Data Visualizations to Optimize Processes

Data visualizations not only help people view data in new ways, but they also help them see it more clearly, presenting insights, opportunities, and challenges that would otherwise go unnoticed.

One form of data visualizations does this is by compressing large volumes of data into some kind of layout that is readily available. Financial reports influence decision-making, but in the past, they were either too simple to show anything of value or too difficult to stir up an action. Today’s visualizations bridge the gap, allowing reports to include what decision-makers need to know while still revealing those insights in real-time.

Advanced data visualizations also allow F&a to investigate financial data on their own terms. Decision-makers know what knowledge they want better than everyone else, and once it’s simple to find it and visualize it as needed, understanding differences disappear. To look at it another way, visualizations open up a vast array of nuanced financial data to the point that it can be explored. Anyone interested in delving deeper into the data now has a great starting point.

Visualizations help practitioners outside finance grasp a topic that can be perplexing to the general reader, in addition to CFOs. Executives and heads of departments need to consider how their decisions impact the company’s finances on a micro and macro level, but many lack the knowledge to do so of a dense spreadsheet presenting a financial report. However, when presented with visualizations, the material emerges in a manner that everyone can comprehend. As a result, financial knowledge grows around the board.

Why Power BI is a better choice than Excel
Why is Good Data Management Essential for Data Analytics

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

Data Visualizations: a Modern Solution

Finance teams will use innovative data visualizations to make significant progress on every one of 2021’s top priorities. Once implemented, analytics improve dramatically, accountants spend less time manually processing data, and the ERP ceases to be a barrier to understanding.

Global Data 365 offers visualization tools to optimize finance processes. In terms of usability, precision, and variety, these resources far exceed what you’ve come to expect from Excel. Even better, they’re just one of many features available in purpose-built financial reporting tools that are designed to work with today’s most common ERPs.

If you’re searching for a new perspective on data, we offer a comprehensive upgrade. To see how this all operates, request a free demo today.

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Cash Flow Analysis with Microsoft BI

Home > BlogsCash Flow Analysis with Microsoft BI

Cash Flow Analysis with Microsoft BI

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.

Cash Flow Analysis with Microsoft BI

With the advancement in technology, it is more important than ever to understand how cash flow affects your company and how technology, such as business intelligence (BI), can help you keep track of your cash.

What is Cash Flow Analysis?

Financial reporting requires the use of cash flow analysis. You can tell where cash is produced and invested by looking at your company’s cash inflows and outflows over time so you can prepare accordingly. Controlling your cash will help your company not only stay afloat through difficult times but also open gates to new opportunities.

Have you had a profit or a loss? Cash flow is important at any point of a company’s development cycle, whether you’re a new start-up or an existing company. Anything you do requires money, from managing assets to hiring a new employee. To achieve security and consistency, you must have the right tools and structures in place at the right time to help you manage and predict your cash flow.

Different Approaches to Cash Flow Analysis

At the end of each quarter, most accounting teams are responsible for conducting a cash flow analysis to determine that all of the company’s expenses are taken into account.

Free Cash Flow (FCF) is among the most valuable financial performance indicators. Experts look at FCF or operating cash flow minus capital expenditures to determine how much money a business has left over to broaden or return to shareholders. You have an issue if your expenditure exceeds your income.

A cash flow statement is a crucial tool for managing cash flow, and it contains data from operations, investing, and financing. A cash flow statement is traditionally created to use Excel-based manual data analysis. It can be difficult to combine data from your cash flow analysis, expected and real operating expenses, capital expenditures, accounts receivable/payable balances, and general ledger data. Excel costs time and money. Identifying the ramifications, many businesses have simplified manual accounting processes and adopted business management and intelligence technologies to better analyze and predict cash flow.

Cash Flow Analysis with BI

Companies have embraced business intelligence technology to change the way they handle their cash flow now that the platform is more available and affordable. Companies use business intelligence and analytics software to automate cash flow analysis and provide the tools they need to analyze data optimize cash flow analysis, and more.

The best feature of business intelligence software is that it is designed to provide more precise financial statistics and, as a result, eliminate the guesswork from the cash flow analysis process. BI solutions provide managers with reports that are timely, reliable, and simple to use.

Here are a few examples of how BI is assisting companies all over the world in better managing their cash inflows and outflows.

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Intelligent Predictions

Financial predictions enable you to prepare for the allocation of resources and budgeting by providing a clear way to making strategic business decisions. Cash predictions can be generated automatically using BI software. Financial managers can remain updated at all times with this ability, including advanced warnings of cash shortages or surpluses. This enables a business to respond rapidly to growth potential or to cut back when necessary.

Data Management

Assembling data from various sources is the most time-consuming aspect of cash flow analysis by spreadsheet. You will get the figures you require in real-time using BI software that combines with your ERP and CRM solution. The cash flow analysis will provide more useful insights and up-to-date reports, allowing you to make fast, data-driven decisions.

Manage Projects

Large projects may have a significant impact on cash flow. For cash flow development and proper development, financial managers need greater control of what goes in and what comes out, so the ability to analyse a project’s length, expenses, resources needed, and payment terms is critical.

Plan Inventory

There are some costs involved with the inventory. It not only binds up cash in goods but getting too much inventory can also be harmful to your cash flow. You will make a decent source of supply and be more careful with inventory spending with BI tools. In the long run, BI will save you a lot of time and money by sales forecasting and intelligent reporting.

Risk Management

Should you put money into a new venture? Should you temporarily reduce your spending? Risk management software such as BI software is a reliable tool. If you have a cash flow problem, if your prediction indicates that you may not have enough cash, a BI solution will enable you to perform a fast prediction and liquidity analysis to assist you in making the best decision possible.

BI Solution

BI tools help data-driven analysis and decision-making, which is just what you need to keep a tight grip on your cash flow. Although there are many BI solutions available today, particularly for Microsoft Dynamics users, there is no such thing as a “one-size-fits-all” solution.

We are here to assist you if you want to improve your financial statements and cash flow review. Contact us today!

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ways to optimize your ERP reporting

Home > Blogs > How to Optimize Your ERP Reporting?

How to Optimize Your ERP Reporting?

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.

ways to optimize your ERP reporting

According to a recent study, nearly 81% of the company survey reported that they had either introduced the use of ERP software or were in the process of implementing it. So what makes ERP reporting important? ERP data analysis empowers businesses to produce strategic plans, future predictions, and advanced strategies.

A depth of data indicates that financial reporting generates as much clarification as it creates confusion:

• 97% of CFO’s have uncertainty regarding the quality of reporting.

• 40% of CFO’s are concerned that information is reliable and precise.

• 87% of accountants function overtime to complete the financial closing.

• 86% of finance teams say that their analytics are not informative.

The only downside is that companies cannot be successful if they don’t have reliable, accurate, and detailed ERP reporting, which can lead to them making risky choices without even acknowledging it. The plus side is that optimising ERP reporting is not a difficult task in comparison to the usual reporting process.

Listed below are the 5 ways businesses can optimise their ERP Reporting to make it quick and easy:

Self-Service Reporting

Users often need to submit a request to IT before getting access to a report and wait in a queue until they can access it. Users have to depend on technical experts because working with the underlying data is difficult. For users who are not IT experts, self-service ERP reporting is intended to be user-friendly. This kind of reporting is less about the careful organization of data and more about being cost-effective and a time saver.

For instance, IKEA, one of the biggest retail company has enabled self-service ERP reporting after the implementation of Jet Reports and witnessed instant results. A report that may have taken hours for a warehouse manager can now be done within seconds. Time is saved by enabling self-sufficient ERP reporting.

Automated Processes

A large-scale data organization effort is required to report on finance and operations throughout different departments. The workload includes tracking information from different sources, transferring it from one document to another, and putting time and effort to arrange it all in one clear performance portrait. Advanced automated processes speed up this effort by automatically placing data from ERP systems and other networks, then placing it for immediate analysis into pre-built ERP report templates.

Amref Health Africa, a major NGO in Africa, was having difficulty handling data manually before adding Jet Reports to its reporting toolbox. Now the organization spends less time on handling information and reporting.

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Flexibility

Reporting is a regular duty that changes with time. Depending on the same reports adds up to poor performance management, but it takes extra time and feedback from IT experts to produce customized reports. ERP reporting stops being a hassle when it is simple to track various metrics, rewrite reporting data, receive deep insight from reports into transferable data, and access real-time updates on request.

Using an ERP reporting tool, companies can keep track of their data in real-time. Fawaz Holding seized the benefit of customized reports when it introduced Jet Reports to operate side by side with its Microsoft Dynamics 365 Business Central ERP. By building flexibility into the processes, ERP reporting becomes easier.

Business Continuation

Accurate ERP reporting is vital after the global pandemic. Decision-makers instantly require quality, updated data, but it can also be made inaccessible by the same situation that makes it essential. ERP reporting should function at any time, providing the same robust functionality even though users are operating from elsewhere.

Similarly, Enova Facilities Management started to save time on ERP reporting using Jet Reports. When COVID-19 struck, the business utilized those time saved. The challenge didn’t sway the method of reporting, instead, it provided leaders greater insight into the situation.

Higher Standards

ERP reporting can be difficult when the processes are not automated. It leads to a lot of time and effort spent on manually documenting reports and generating analysis. Many ERP reporting systems allow the users data security. It is important to set high standards for data reporting, so businesses need to implement robust ERP systems to automate processes and receive greater insight into the workings of all departments.

At Trade Centre, a Turkish electronics firm felt it needed quicker ERP reporting and relied on Jet Analytics as the solution. After that, reporting then demanded 60% less feedback overall, which reduced the time it took IT on reporting.

Conclusion

Learn How to Optimize Your ERP Reporting as accurate reporting is a result of quality data, which is precisely the reason the process takes time. Data is an unruly commodity that takes an extra effort to control, protect, and manipulate. As the data volume grows, ERP reporting will fall behind and cause companies to delay taking action. That is why it is important to search for strategies that make data as quickly available as possible by automation.

So, if you face any challenges in reporting, our experienced consultants can provide you solutions to help make your business grow. Schedule a call to discuss your requirements. Contact us now.

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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.

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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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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