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How to Increase Transparency in your Finance Processes

How to Increase Transparency in your Finance Processes

How to Increase Transparency in your Finance Processes

When upper management has complete insight into the operations of the company, it runs more smoothly with it’s finance process. Gartner’s market oracles recently published a list of nine characteristics that CFOs must possess to maintain success during times of crisis and uncertainty. Based on 20 years of research and strongly influenced by lessons learned from the financial crisis of 2008, the list needs a review.  Placing more money on the line. 

 

  • Defending against scope creep.
  • Critical Initiative Funding.
  • Making it easier to take risks.
  • Getting to know your customers.
  • Cutting your losses.
  • Careful cost-cutting.
  • Identifying cost-cutting opportunities around the organization.
  • Integrating Budget Models. 

Even though each entry is based on a different goal, they all have one thing in common: the need for financial transparency. CFOs must provide the most up-to-date details on all facets of financial results. When making new acquisitions, searching for cost-cutting opportunities, or modifying the years’ plans. 

Impact of COVID-19 on Businesses

Even before the pandemic, CFOs struggled to obtain refined, regularly updated information. Data accessibility has become a pressing problem as more teams work from home and struggle to access the same data, software, and teamwork that they depend on in the office. Financial invisibility occurs when businesses have the requisite data (often distributed across the ERP) but are unable to access it easily, comprehensively, or consistently. 

 

CFOs require access to reports and metrics that represent the most recent data available as they try to control cash flow, perfect accounts receivable, or safe loans and stimulus funding. The volume of information and the speed at which it is processed is well beyond standard. As a result, CFOs are much less informed about financial performance data. One of the major threats that businesses face today is financial invisibility. In this crucial time, a single bad decision based on incomplete or unreliable data may sink a corporation. That outcome can be avoided with a few tweaks. 

Finance Processes and Financial Visibility

Financial reporting is one way to convey visibility. Many business leaders are motivated by the need for a reliable, automated, and open reporting system. Provide them with the data they need, when they need it, for full transparency with finance processes. 

 

Specialized tools, such as those created by Global Data 365, can help. Incorporating these strategies can significantly enhance transparency in your finance processes, ultimately leading to better decision-making and increased trust among stakeholders. Each of our solutions integrates with common ERP software and automates the most time-consuming aspects of reporting. The solutions then produce and distribute reports in the format that the CFO prefers. That may mean regular updates in the standard Excel format or CFOs can go a step further and get real-time updates through specialized dashboards. Our tools keep financial visibility crystal transparent by making financial reporting simpler than ever while also enhancing the pace, scope, and accuracy of the resulting insights. 

 

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Financial Reporting vs. Management Reporting. What is the Difference

Financial Reporting vs Management Reporting

Financial Reporting vs. Management Reporting. What is the Difference

Reporting is essential to the growth of any business. The reports provide information and insight for the business leader when making strategic choices that impact not only all the departments but also the company, particularly when it comes to financial and management reporting and analysis. An organization benefits from reporting, as it helps them to evaluate progress regarding their business objectives in an enterprise, and to make strategic decisions to lead the business towards future success. 

 

Many company owners are familiar with the standard financial reports they can expect monthly, but many are not familiar with the types of management reports available that could help boost efficiency and profitability for their companies. There are different kinds of management reports available. 

 

While there are different kinds of strategies in both financial and management reporting, organizations often search for someone who can work in both. That is why it is crucial to know the differences between financial reporting vs. management reporting. 

What is Financial Reporting?

Financial Reporting is directed towards compliance and is used for external purposes. Financial reporting is the method of shaping business strategies by supplying company stakeholders with financial reports. Financial Reporting can also be created to inform internal decisions. However, documents normally appear somewhat different from the data and contain different details. After that, the financial reports are sent to third parties. Financial Reports includes the usual weekly, monthly and annual reports that businesses get each month, including: 

 

Profit and Loss Statement 
– Balance Sheet 
– Accounts Payable 
Accounts Receivable 
Cash Flows Statement 

 

Depending on the time span, these reports will cover multiple time periods. The intent of the report, as well as the third parties requests. For instance, annual financial reports to shareholders will include a three-month time. These reports are crucial for any organization. These reports are used by banks, investors, and regulators to accept loans, lines of credit, and other decisions. In many situations, financial reports are needed to ensure adherence to certain laws or regulations. 

 

At a given point, these reports represent your company’s financial position. They explain the general impression of the success of your company but fail to provide deeper insight into the details of your business operations. They look backwards and don’t even inform you about the performance of the business in the next month or next year. Modern systems for financial restructuring may be altering this dynamic is due to the accumulation of data in real-time, as well as automated processes of reporting now allow the creation of financial reports that contains details of the current financial reports for your organization. 

What is Management Reporting?

With management reporting, companies can have a deeper insight into the financial health of their organization. Management reports provide more insight than financial reporting into the company’s financial situation, performance, and overview of all departments. Management reporting and analysis provide greater insights, which include the ability to segment and analyse information in a broad range of ways. Some of the ways include: 

 

  • Profit and Loss by Divisions 
  • Realization Rate 
  • Utilization Rate 

Management Reporting is focused on parts of the business instead of an overall view of the organization. By segmentation, you can get into the specifics and examine the drivers of the business. For instance, an example would be the evaluation of how the Marketing Department operates over a given amount of time, or how much benefit a sales employee has had over a certain month. Though, you might want to make sure that you are receiving the correct reports that your organization requires to drive strategic decision-making. 

Key Comparison: Financial Reporting vs Management Reporting

To enhance the performance and profitability of your business, different types of reporting techniques are available. Even though both contain different techniques, companies require someone who can handle both. 

 

Compared to financial reporting, management accounting is not compulsory and is used for internal purposes mainly. Rather than relying on general accounting data used to reflect a company’s financial situation, management reporting uses main performance indicators, including metrics to evaluate a business’ return on investment (ROI). 

 

Depending on what kind of financial reporting you use to inform your business plan, management reports are always a key commodity and are almost inevitably going to surpass financial reports when it comes to receiving greater insights. Whereas financial reports are simpler, management reports are more open-ended. The financial reports are critical for avoiding cash flow challenges and making more figures. To make informed strategic decisions, you will need management reports side by side. It is necessary to ensure the right processes and systems for the execution of apt financial and management reports. 

Importance of Financial and Management Reporting

Some businesses only require financial reports every month for various reasons. Because management reports cost them extra money, they tend not to use them. If your business fails to implement management reporting, you could be losing out on details that will help your business expand or keep you from introducing expensive services that do not offer an ROI. Any business requires financial reporting for compliance, to ensure that the figures add up, and to minimize cash flow. To make informed strategic decisions backed by reliable results, your company will also require management reporting. 

 

The insights gathered from management reporting and analysis are essential to make informed decisions that might be beneficial and profitable for your business. Management reporting also focuses on future data points that help plan for long-term future projects. Any organization will be interested in getting more insight into the whole company’s activities, which tends to improve success, profit, and productivity. 

Best Practices of Doing Financial and Management Reporting

There is a dire need for creating great reports that provide data to the primary stakeholders. Reports are meant to be easily readable and comprehendible by others, so it does not harm in putting more time into ensuring all these reports make a lasting impression on the target audience. 

Listed below are some of the best practices of creating impactful financial reporting vs management reporting: 

 

– Eye Appealing Reports: Important stakeholders are always busy. Dry, lengthy reports could end up losing their attention or confusing them when they need to search for the data they require. A well-constructed report will make it easier for the leaders to skim through the required information. 

 

– Automated Processes: It is essential to use automation to create reports, as it can save time. The less time is taken to produce a report, the quicker it can reach the business leaders. With the real-time aggregation of data pulled from the entire organization, you will have a report that will contain the latest data. 

 

– Implement Graphics and other Visuals: For a report to catch the reader’s attention, it should include graphics and other visual elements that make it easier to read the report. 

 

– Point-and-Click Design: You can either recruit a graphic designer to create the visuals on the report or use a point-and-click design to navigate easily through the report and deliver it at the right time. 

 

– Multiple Reports: By automating processes, you can make multiple reports that address the operations of the entire department separately. This gives the business leaders an overview of all operations. 

In Conclusion

A company’s performance and financial stability rely on both financial reporting vs management reporting. Yet, there are a wide variety of possible results when it comes to producing reports that fulfil their goals and deliver the required data on time to the main stakeholders. 

 

So, whether you are generating reports for external or internal use, the reports must be created in an easy-to-read format that holds the reader’s attention. Here at Global Data 365, we go beyond basic accounting data and offer BI solutions to companies. We help businesses improve performance and profitability by providing insight into the data gathered in real-time through our reporting and analytics solutions. 

 

Contact us now and speak to our BI experts. 

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automated forecasting with jet reports

Automated Forecasting with Jet Reports

automated forecasting with jet reports

In today’s fast-paced business environment, organizations need efficient methods to streamline budgeting and forecasting processes. This article introduces the Break-back concept and demonstrates how it can be implemented with Jet Reports to automated forecasting. Organizations typically employ top-down, bottom-up, or hybrid methodologies in their budgeting and forecasting. Additionally, they often create multiple budget versions using what-if planning to simulate different scenarios. Break-back is a powerful tool that can assist in these processes across an organization.

The Power of Break-back in Decision Making

Break-back is a valuable management tool that facilitates what-if analysis and supports key decision-making. It empowers organizations to quickly adapt to changing market conditions by providing accurate automated forecasting based on historical trends and assumptions. This article explores how Jet Reports can harness Break-back to enhance forecasting and budgeting processes, making it an indispensable tool for any organization.

What is Break-back?

Break-back is a process that allows the automatic calculation of transaction details (i.e. budget or forecast figures) based on summary value(s). For instance, automated forecasting all natural accounts based on the user entering a single net income target value. 

 

It is calculated based on assumptions that can be determined on historical averages, trends, or an infinite number of other factors. The example below will allow a user to enter a Net Income value and then automatically calculate values for all GL accounts. It also enables the user to increase or decrease values from a macro or micro level, which allows for deeper what-if analysis. 

 

As an example, project a 25% increase in Net Income while knowing that revenues will only increase by 3%, then the Break-back will calculate the amount that all expenses need to decrease to match the 25% increase in Net Income. 

Example of break-back:

This example will detail the building of a Break-back template that has year-to-date actual figures and will calculate the general ledger-level forecast based on a few assumptions. 

 

The main driver and the only mandatory input is the desired Net Income. This alone will enable the calculation of the general ledger (GL) forecast for the remaining months. 

 

The first step is to create a profit and loss report with a column for year-to-date actual data. Then we will use the concept of annualized actual based on the prior year’s actual revenue. There is a hidden section that brings in the prior year’s revenue, calculates the percentage of revenue for year-to-date, and then assumes that the annualized total will follow the same trend as last year. As an example, if the period parameter is entered April 2019, then the annualized actual will be year-to-date actual figures divided by the percentage of the sum of the revenue for Jan 2018 to April 2018 against all of 2018. 

 

Revenue Year-to-Date April 2019: $8,675,315 
Total Revenue Year-to-Date 2018 (January – April): $5,889,672 
Total Revenue 2018: $20,400,768 
Percentage of Total Revenue 2018 Year-to-Date: 28.87% 
Annualized Product Revenue 2019 (8,675,315/28.87%): $30,049,584 

 

The next column is of What-If Scenario that is based on two drivers: 

 

– Net Income Projected Amount 
– Account Increase/Decrease % 

 

This column projects what GL Accounts should be like to achieve the Net Income projected amount. If only the Net Income driver is set up, Excel will calculate all GL Accounts based on the historical trend and multiplying it by the new set goal for Net Income. However, if account Increase/Decrease % is also set up like 3% increase in Revenue, it will predict other GL accounts like COGS and Expenses to achieve target goal of Net Income. 

 

Once the What-if scenario is completed, it is then divided across months to predict forecasting of each month. This uses historical trend of how each month contributes to the total year’s figures. 

Benefits of break-back:

This template could help businesses in many ways such as: 

 

  1. Helps create top-down budgets and forecasts based on organizational targets. 
  2. Quickly create multiple budget or forecast versions (i.e. optimistic, pessimistic, and most likely). 
  3. Starting point of forecast or budget. 
  4. Can use as guidelines for budget users. 
  5. Save labor hours by eliminating time consuming end user data entry. 
  6. Helps business to stay on track each month. 
  7. Helps in decision making. 
  8. Helps in future cash projection. 

Resources

Using Jet suite of products, you are now able to pull your actual data right into Excel and can-do automated forecasting using break-back. In case you need to design What-If scenario templates for your organization, you can reach out to one of our Jet Reports experts. 

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when you are using bad data for decision making MDM

When You Are Using Bad Data for Decision Making?

when you are using bad data for decision making MDM

Every business wants to unravel the power of big data. But is your data ready for prime time? We live in a big data environment where master data management is necessary, which is primarily due to the widespread use of computers and technology in businesses. Are you making decisions by relying on bad data? It is difficult to answer that question because you are mostly unaware that you are using bad data until it is too late.

A study conducted by Gartner reports that nearly 40% of enterprise data is unreliable, incomplete, or inaccessible. Bad data quality costs an average of $15 million a year in various forms. Such as financial loss, lost opportunities, and high-risk decision-making. What is the explanation for this? Because poor analytics is a result of bad data.

In today’s environment, the more data you gather, the better. However, with vast amounts of data from various sources covering several geographic areas, data has become increasingly complex, leading to create the nuisance of bad data for decision making. Although technology investment in managing business processes and collecting data has increased. It has greatly outpaced the time and money devoted to data management and governance.

So how can you be aware that the information you obtain and evaluate meets those criteria? To begin, you must first understand what qualifies as bad data.

Signs of Using Bad Data for decision making

The data that most executives are provided with almost once a month is used to make major decisions. When you have low confidence in the data you depend on, it impacts how you work. After working with several Microsoft Dynamics ERP clients who have struggled with bad data, we have compiled a list of signs that you are using bad data for everyday decision-making.

- Information Silos

There are different types of reports that exist on the servers, local machines, and networks, resulting in information silos.

- Incorrect Records and Manual Errors

Your financial team is forced to manually rummage through spreadsheet after spreadsheet, searching for inaccuracies and human mistakes because your month-end numbers don’t add up. Businesses just getting started often ignoring the value of inventory management, assuming their production isn’t high enough to justify it.

- Limited Resources

The resources are stretched thin with the extra calculations and machine workarounds placed to try and interpret the data the system is generating.

- Delay in Approvals

Since reports and budget approvals are continually delayed, you’re having trouble getting executive buy-in.

- Fixing Bugs

You devote considerable time to fixing problems and putting out fires than you do analyze and improving your data.

 

If these signs appear familiar, you might be unknowingly relying on inaccurate data or bad data for decision making. To get true insights into your market, you need the right tools and processes. Optimize the value of data and analytics in your company. Data is often inaccurate and unfinished, but with smart data management, efficient data governance, and centralized data storage. You can get a long way toward being a truly data-driven company.

Using Master Data Management (MDM) to Reduce the Risk of Bad Data

Since Microsoft Dynamics isn’t designed to handle data, we suggest integrating Master Data Management (MDM) into your business intelligence. MDM works by creating a clear, trustworthy view within an enterprise, organizing numerous data objects. It gives you total control over your data. It can be used to find the most up-to-date version of the reality in your data. Ensure accuracy and transparency in data governance: prepare data for analytics.

 

After you’ve developed your data governance and Master Data Management strategy, you’ll need to put it into action with centralized data storage. Allowing you to transfer and incorporate data from a variety of sources. You can produce reliable reports and dashboards that are consistent across the enterprise with a single view of your data. Enabling you to make super smart and useful business decisions.

 

Have a clear idea about what needs to be done to enhance the accuracy of your data and prepare it for reliable analysis. Contact Us to learn more about the effective ways to simplify data management. Find the benefit that a data warehouse designed particularly for your Dynamics approach will add to your decision-making processes.

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BI Dashboard

Everything You Need to Know About BI Dashboard

BI Dashboard

Business leaders know that having a few clearly identified, measurable objectives and constantly monitoring success against those objectives allows a company to remain on track to meet its primary objectives. Business Intelligence is a system of processes, infrastructure, and technologies that transform raw data into actionable information. It’s a collection of tools and services for turning data into useful information and knowledge. Likewise, over the last few years, business intelligence (BI) dashboards have become very common as a way of communicating key organizational goals and monitoring success against them.

 

BI dashboard display data in a vivid visual format that can be easily grasped by almost everyone in the company. BI dashboards are an important way for strategically based companies to communicate results against key performance indicators (KPIs) and keep everybody on the same page. Dashboards, in particular, offer a highly efficient way for leaders to interact with non-financial audiences.

What does a BI Dashboard?

Tracking sales revenue and pipeline prospects against the forecast is one of the most popular use cases for BI dashboards. This is often shown alongside other important customer metrics, including returns, on-time delivery, and so on. It’s an explanation that almost anyone in the company can understand, and it’s especially important to C-suite executives and those in every company.

 

That being said, for finance and accounting practitioners, some use cases for making people aware of other key financial indicators across the entire enterprise are important to consider. For non-technical users, dashboard visualization can be highly effective.

 

Working capital is one of the most important determinants of business performance. Organizations that successfully control working capital significantly outperformed those that do not. Internalizing main working capital metrics by the rest of the company, on the other hand, can be difficult. High-level indicators of how well the company is doing include the “cash conversion cycle” (CCC) and “days working capital” (DWC).

 

Not everyone is equipped to understand the numeric data. This is where BI dashboard can be extremely useful. Business leaders can achieve higher performance by clearly defining the most important numbers, communicating them within the company, and publishing performance metrics in a way that everyone can understand regularly.

BI Dashboard is the Future

As software technology has advanced, BI dashboard have become more common as tools for outlining and presenting business data have become faster and more efficient. A comprehensive toolset is needed to work with massive data sets, work more effectively, and produce dashboards efficiently and precisely. Some of the features of using BI dashboards are:

Data Visualization

Dashboards that are well-designed present data in a way that is useful to the target audience. They give just the effective data, not too much or too little. Furthermore, good dashboards are adaptable to each user’s specific requirements.

Real-Time Alerts

An effective BI dashboard can alert users to circumstances that need urgent attention, similar to warning lights on a car dashboard. A successful dashboard will help business leaders solve issues as soon as they arise by monitoring data in real-time and alerting them to exceptions.

Collaboration

The first step is to get the correct information from people in the company. With easily accessible, sharable content, collaboration features allow discussion and task management. Relevant discussions will send constructive alerts to the appropriate people in the organization, making it easier to collaborate effectively.

Future Predictions about BI dashboard

While the word “dashboard” suggests an emphasis on the past and present, the most powerful dashboard solutions often include rolling forecasts and predictive analytics, allowing for a clearer view of the path ahead.

 

Global Data 365 includes dashboards and communication tools, as well as effective business intelligence tools. With integration from over 140 different ERP systems and other enterprise software, we allow quicker, simpler, and more affordable business insights. You can request a free demo today to learn more about how your company will profit from the power of BI dashboards.

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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

FactorsArtificial IntelligenceBusiness Intelligence
ConceptArtificial Intelligence refers to human like computer intelligence.Business Intelligence refers to intelligent decision making.
EmphasisIt requires the use of statistical methods to analyze data.It involves machine learning and deep learning algorithms.
ApplicationIt 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.
UsageIts usage is linked to the future events.Its usage is linked by available historical data.
InputsIt benefits subject such as biology and computer sciences.It benefits enterprise management data, reporting and data analysis, OLAP.
AlgorithmIt utilizes the breadth first algorithm (BFS) and follows the FIFO principle.It uses the linear aggression module for organizing data.
LimitationsIt poses security and privacy risks.It can lead to misuse of data by using improving technology.
ObjectiveThe 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.
ToolsIt 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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Automate Reporting from Dynamics GP

How To Automate Reporting From Dynamics GP?

Automate Reporting from Dynamics GP

If you do not fully understand the complex underlying data structure of over 1300+ tables and 22500+ fields, then automate reporting from Dynamics GP can prove to be a problem. Recently, Microsoft Dynamics ERP software has evolved to Dynamics 365 Business Central cloud, and it brings versatility and easy access for small businesses throughout the world. Reporting challenges are bound to arise due to the complex nature of the data structure field. All ERP solutions are made of back-ends that are hard to operate for anyone who is not a specialized expert or administrator.

 

 

ERP solutions, like Dynamics GP, are designed to optimize business processes and data storage. Its main focus is on storing data, not extracting it. Microsoft Dynamics GP has advanced and evolved in the ways users receive their reports. Management Reporter has advanced to the new setting providing an Excel-integrated tool known as Jet Basics; Smart List has for a long time provided the export-to-spreadsheet option, and Power BI is coming out as a great tool for data visualization. Similar to other Microsoft Dynamics solutions, Dynamics GP is evolving when it comes to providing built-in and extra tools for users to get data visualization.

 

 

According to the feedback received from thousands of users from across the globe, users complain about the reporting and analytics in Dynamics GP, as it fails to meet functional reporting requirements outside of financial reporting. The reason behind this could be the complex GP data structure or the unavailability of specialized experts. In any way, depending on these tools is costing users their time and money. Companies are forced to recruit Dynamics GP experts because of the lack of access to one organized, instant visualization of the data.

 

 

If you face limitations in your financial systems while regularly using Dynamics GP to optimize processes, then the main challenges that you may be facing in operational reporting are:

Challenges in reporting from Dynamics GP

The four main challenges faced by businesses in reporting from Dynamics GP are:

– SSRS Programming:
Programming in SSRS is costly and slow due to a large amount of data, intricate linking tools, and the programming skill needed to form a report.

– Managing Unorganized Data in Excel:
In a company, every person has their own spreadsheets, which can result in unreliable data and security risks. As every department has different approach in completing its operations.

– Power BI Views:
Power BI can be difficult to navigate for someone who is not a technical expert due to the compilation of data that results in a single view and the rewriting needed to change the views.

– Constructing OLAP Data Cubes:
Constructing OLAP data cubes can be hard and time-consuming as it requires a specialized expert who is familiar with both SSAS data cubes and Dynamics GP.

Keeping these challenges in mind, Global Data 365 has a solution to overcome your Dynamics GP users’ time, money, and effort, all the while creating better reports. It begins with Jet Analytics, the fundamental Dynamics GP data solution.

How Global Data 365 helps with Reporting in Dynamics GP?

Global Data 365 provides better services and implementation to address the obstacles using dynamics that lead your business to success. Without the need for developers and costly experts, Jet Analytics is a complete business intelligence solution designed to obtain quick, customizable reports and dashboards in Excel. And it is possible to do it yourself. Jet Analytics puts all the Dynamics GP data into one and organized it in one location using a pre-built data warehouse, OLAP data cubes, and dashboards to automate reporting in Dynamics GP.

If it is paired with a user-based front-end reporting tool, it makes it possible for users to view, assemble, and prepare the data, so you can benefit from the robust data visualization tools of Power BI and be more effective with operational reporting and analysis. The Jet Data Manager is used as a back-end tool by Jet Analytics to configure turnkey data warehouses and OLAP cubes to assist you monitor and organize your Dynamics GP data.

 

Jet Analytics provides users to use Excel for all your reporting requirements with one operating location for your reporting, but it offers one source and data management system to handle the delivery, security, business measures, calculations, and run-time of such reports. So, do not let your existing obstacles in operational reporting keep you from receiving immediate insight into your data. Companies can now improve the visibility of real-time data to help automate reporting from Dynamics GP users turn efficient and enjoy Jet Analytics full capabilities.

 

We, at Global Data 365, offers free one month license of Jet Analytics for you to test it with your Dynamics GP database and see the value it brings into your reporting process. Contact Us to order your trial license now.

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Jet Analytics Data Warehouse as a Future-Proof Business Solution

Jet Analytics Data Warehouse

Jet Analytics Data Warehouse as a Future-Proof Business Solution

To remain competitive, a business needs to implement a jet Data Warehouse system that can keep with future requirements. Preparing to implement an ERP system can be a challenging task. Data storage technology’s future will be characterized by speed, convenience, and efficiency. Many of Microsoft’s legacy GP, NAV, and SL customers are likely to be considering a shift to the new platform now that the company’s latest ERP software version for small and midsize businesses has been released.

Microsoft Dynamics 365 (D365 BC) is the next version of the Microsoft Dynamics NAV code base. It is expanding it to a more cloud-friendly platform and incorporating it more deeply than before with the remainder of the Microsoft stack. The process of data transfer is never an easy task, no matter which ERP system you are moving from. Some particular problems related to data transfer are there. Surprisingly, many of them can be easily handled using a data warehouse.

Although data warehouses have been built for a different reason (i.e. to store data for big data analytics), they can provide tremendous value during an ERP transfer. That is because an entire data warehouse solution can pay itself from the savings generated by the process of migration itself. Enterprises have access to an increasing amount of data from all departments of their sector. Controlling how data travels through the enterprise becomes increasingly important as a company gathers data in different formats.

Data warehouse Obstacles during Data Transfer

Data warehouse technology has not changed much. However, the rise of Big Data and an excess demand for data has uncovered technical vulnerabilities that some legacy warehouses are not equipped to manage. One of the first questions asked from a project team when it comes to data transfer is which data is going to be moved from the old system to the new one? Firstly, all the data is going to be transferred. Secondly, many businesses have collected a large amount of historical data. Exporting data, filtering it, cleaning it, and reformatting it for the new system costs time and money.

Then the challenge arises of matching transactions. Bringing the list of the history of customer payments and invoices is a separate thing from recreating the history, providing the details of the payments made to certain invoices in certain amounts. On the other hand, the cloud model distinguishes storage from computing, resulting in a new level of cost and performance efficiency. Enabling IT to:

– Pay for only what is used.
– Gain total cost/performance leverage.
– Reduce duplication of data.
– Eliminating loading of data.
– Multiple platforms can access the same data.

If the company continues to retain the old system intact, it will cost them time and money. If only a single person knows how to operate the system leaves, or if the system update conflicts with the old ERP software. It will cost your company time on support and maintenance.

Jet analytics Data Warehouse as a Solution

Most ERP system manager fails to think of the alternative; a data warehouse solution that contains data from your old ERP system. It contains all of the data you require for historical reference. With a data warehouse, there is no need to handle transactions on the old system.

 

In comparison to the cost of maintenance of an old ERP system vs. a data warehouse, the data warehouse comes out on top every time. It not only solves the issue of historical ERP records but also serves an ongoing function as well. It significantly reduces security risks. The cloud has changed the way companies handle and store data for the better. To satisfy your existing and future business needs, cloud computing will help you create a new modern data infrastructure. Your organization now has the opportunity to harness its data’s potential, delivering unmatched productivity and ROI. You are finally ready to turn your data to reveal the deeper insights that will help you make better business decisions and produce higher-quality results.

Data Warehouse as a Migration Tool

By creating a standard data model for your old and new ERP systems within the data warehouse. You can utilize the data warehouse as a migration tool itself. You may proactively use the data harmonization process among the two platforms to clean and normalize data from the old system and prepare it for transfer to the new system.

Since most people think of a data warehouse primarily as a staging area for reports. This is a creative solution to the issue of data migration that is rarely suggested.

ERP Migration without Reformatting Reports

The future is hard to foresee, but one certain thing is that the most productive data warehouses are those that can use their data efficiently to optimize operations, anticipate market shifts, and boost availability. Similarly, Jet Analytics is a reporting platform from Global Data 365 that deals with the entire Microsoft Dynamics products, which include Microsoft Dynamics CRM, AX (Axapta), NAV (Navision), GP (Great Plains), SL (Solomon), BC, and Microsoft Dynamics 365 Finance and Supply Chain Management product.

 

The relation between Jet Analytics and the various products of Microsoft Dynamics operates independently. Users can extract data from the ERP system, which is integrated inside the data warehouse to a harmonized data structure. The customer records of both Microsoft Dynamics GP and Microsoft Dynamics 365 Business Central may appear the same in the data warehouse. Invoice records from various systems will also appear similar.

 

If you are thinking about transferring data from one system to another, particularly from Microsoft’s legacy ERP products to D365 BC, you can save time and money by implementing these approaches. Jet Analytics data warehouse can offer the following benefits:

– You can automate the removal and transfer of data that you intend to migrate by linking the Jet Analytics product to your old system, storing them in the data warehouse for import to the new system.

– You can tackle the issue of historical data by using Jet Analytics to provide unlimited access to data that is too difficult or costly to transfer. This decreases the probability of security breaches, saves recourses, and improves efficiency.

– If you have used Jet Analytics to develop reports for your previous Microsoft Dynamics ERP system. You can continue using the reports for data with little to no change from your new Microsoft Dynamics ERP system. This saves considerable time and money on implementation.

– You will have the most sturdy BI and reporting platform on the market after the migration, which will remove any potential reporting inefficacies.

A Detailed View over Time

The Jet Analytics data warehouse approach enables you to view both old and new data together as a single whole. Jet Analytics helps businesses to run comparative reports that look back through different years. Information is structure and interpreted by the data warehouse as if it originated from a single system.

 

Any level of compliance is involved in most ERP system implementations. One such compliance is the necessity of a complete break from the past. This particular problem is tackled effectively by the Jet Analytics data warehouse approach.

Jet Analytics Data warehouse as a Solution

For the success of any business, the present and future warehouse management systems need to embrace the incorporation of BI software solutions and visualization of insight. You can get started with Jet Analytics whether you have upgraded to the latest versions of Microsoft’s ERP system. There are many advantages to implementing a Jet Analytics data warehouse system.

– Jet Analytics can be deployed ahead of an ERP framework update to give you a head start, reduce risk, and lighten the overall implementation workload. When you finally introduce a new ERP system, report creation on Jet Analytics will continue to pay off.

– By acquainting yourself and your staff with the data warehouse setting, you can obtain an understanding of the benefits of implementing the Jet Analytics data warehouse system.

It is time to unlock the potential of your data to drive your business ahead. To learn more about how Jet Analytics can benefit your company or learn to improvise with Jet Analytics training.

Contact us to get more information.

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Dynamics AX reporting

Reporting Challenges in Microsoft Dynamics AX 2012

Dynamics AX reporting

Introducing a new ERP system requires a huge amount of resources; time, money, and the company’s overall energy. Most times, the business’s essential day-to-day operational needs, such as monitoring and general data, are fulfilled by the legacy ERP system, which has developed with years. Despite these challenges, businesses can opt to replace legacy ERP systems with a more modern, versatile ERP system to adapt to evolving business needs, take advantage of technological advances, and help propel the company forward. Similarly, Reporting in Dynamics AX can be difficult, particularly after the release of AX 2012 introduced a more complex underlying data structure, increasing the table count from an average of 1800 to 6400.

 

The feedback gathered from hundreds of implementing partners and users around the world about reporting and analytics in Dynamics AX 2012 is that it takes time, money, and unreliability at best. SSRS is the most popular native tool for reporting from Dynamics AX 2012. As the reset tool, all regular out-of-the-box operational reports need the use of a technical resource who is familiar with Visual Studio, SSRS, report design, and the Dynamics AX database structure.  If you’ve been using Dynamics AX 2012 for some period of time in your daily operations activities, you’re probably familiar with the process of generating and exchanging reports. If you’ve been using Dynamics AX 2012 for some period of time in your daily operations activities, you’re probably familiar with the process of generating and exchanging reports.

Reporting Challenges in Dynamics AX 2012

You may have noticed that your organization is not getting all of the information it requires when it comes to reporting. So what challenges arise when it comes to Microsoft Dynamics AX 2012 implementation?

 

  • Complex underlying AX 2012 data.
  • No skilled AX developers.
  • Dependency on consultants and cost of facilities.
  • No simple way to integrate additional data sources.
  • Inability to get a single, accurate, real-time view of your data.
  • Lack of available out-of-the-box cubes.

These challenges lead to business leaders thinking about whether they need a new reporting solution, a huge ERP upgrade, but an ERP system upgrade won’t fix the reporting and data visibility obstacles. Listed below are the four main areas in Dynamics AX 2012 reporting and analytics that take time, money, and effort. We will start by breaking down the problems and then presenting a solution to help save Dynamics AX users’ time and money.

SSRS Programming

The problem in programming in the SSRS setting is that it is slow and expensive. Because of the large volume of data in the system and the requisite linking properties, conventional programming (SSRS) can be slow, bottlenecked, and costly when it comes to reporting in Dynamics AX 2012.

 

So what is the solution? With an easy-to-use, faster front-end reporting platform designed for Dynamics AX, data is better organized. A data warehouse that automates and optimizes data from Dynamics AX along with a user-based front-end reporting tool, such as Jet Analytics from Global Data 365, enables non-technical users to generate and distribute reports and dashboards quickly and easily.

Building OLAP Cubes

The problem is time consuming and expensive. Because of the complex tools and resources needed to use them, generating or changing data cubes in Dynamics AX 2012 is time-consuming and costly. You can’t write a new query if you lack resources to understand both SSAS data cubes and Dynamics AX 2012.

 

So what is the solution? Easy backend cube management system. The Jet Data Manager, which automates the building of SQL code and data movement monitoring for you, makes handling cubes in Dynamics AX 2012 much simpler and faster. Any database administrator on your team can change data cubes using Jet Analytics’ drag-and-drop or point-and-click features, enabling you to be more effective in getting the data you need, whenever you need it, without the need for costly experts or delays.

Managing Ungoverned Data in Excel

The problem is fragmented and inaccurate data. Microsoft Excel is the most common and widely used reporting tool, but it is not regulated or safe. Without hold over Microsoft Excel, each employee in a company has their own spreadsheets, each of which has been compiled with data in their own specific way and only resides on their PC; as a result, everyone has their own version of the facts.

 

So what is the solution? Controlling Microsoft Excel. Implementation of MDM and a data warehouse to organize your data will secure it and act as one operational place for your reporting needs. Jet Analytics helps you to use Excel for all of your reporting needs while still handling the delivery, security, and run-time of these reports through a single source and data management framework.

Single Source View in Power BI

The problem is that it is hard to use and organize. Power BI is a common visualization tool, but it’s difficult to use and maintain in Dynamics AX 2012 without the correct underlying data solution. Because of all the data, combining and mapping needed to construct a single view, putting together views is difficult. It also does not allow data segmentation.

 

So what is the solution? Implementation of an underlying data solution. Jet Analytics provides the right framework to reap the benefits of Power BI‘s powerful visualization tools by planning the data first with easy-to-access, structured data cubes. It eliminates the need for joins or locks by storing all of your data in one location and instead relies on links. With Jet Analytics, a process that would usually take two days takes just half an hour, and any regular user can do it.

Takeaway

With a reporting and analytics platform built for ease and reliability, you can help the Dynamics AX users become more self-sufficient. Implementing Jet Reports for Dynamics AX is a simple, versatile self-service reporting tool that allows any employee in your company to generate and exchange financial and operational reports directly from inside Excel.

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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. 

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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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