Tag Archives: machine learning

Intelligent Edge for Dynamics NAV

Microsoft has the aim to simplify and optimize the handling of everyday business processes using various cloud-based productivity and analysis tools. With Intelligent Edge, customers with on-premises solutions such as Dynamics NAV now have easy access to the same cloud services available for Business Central.

Previously, customers with on-premises installations haven’t been able to easily connect their solutions to the intelligent cloud. With the latest release of Business Central, Intelligent Edge was introduced for several on-premises Dynamics products, including Business Central (On-Premises). Dynamics NAV 2018 will be supported with the upcoming April version.

The intelligent network edge facilitates the replication of the on-premises Dynamics solution with the cloud version of Business Central to access Microsoft Flow, PowerApps or Machine Learning.

Microsoft Intelligent Edge
Connect your on-premises Dynamics solution with the intelligent Microsoft cloud (Source: Microsoft)

Once the connection has been established, the desired on-premises data is securely replicated to the intelligent cloud, where it can be used by the corresponding cloud-based services for helpful evaluations and insights, for example. The produced analyses and results can then be displayed directly within the on-premises Dynamics solution, providing users with effective added value for their daily business.

Dynamics 365 Business Central: Microsoft announces first details of the April 2019 version

Microsoft Dynamics 365 Business CentralIn April Microsoft will release the next version of Dynamics 365 Business Central. Now first official information and news have been published.

Microsoft had previously announced that the April 2019 version will continue to guarantee the user a system that is modern, adaptable and intelligent. About ten weeks before the official release, it was also announced how these requirements should be implemented.

Powerful new functions for business customers

In order to make working with Dynamics 365 Business Central more pleasant for business users, the April 2019 version enables, among other things, more keyboard-centric scenarios. For example, functions such as quick entry and an improved list sorting will be available for faster data entry and analysis.

In addition, the new version offers a number of functions that enable advanced users to understand the work context better and faster. These include, for example, a work date that is displayed directly on the screen in relevant scenarios and an enterprise indicator that facilitates switching between different companies and databases.

Other productivity enhancements include features such as the focus mode for documents, the new page inspector, an improvement of the filters in Excel export and some modern interface elements (e.g. date picker, refreshed action bar and all-product navigation).

Continue reading Dynamics 365 Business Central: Microsoft announces first details of the April 2019 version

Qlik releases Qlik Sense November 2018

The Qlik Sense story continues – the last release of 2018 is again filled with numerous innovations and cool features. For the first time, the product’s engine includes Qlik Machine Learning capabilities. So there is a lot to expect in this area in 2019. The following shows an overview of the November release highlights:

Qlik Sense November 2018

Dashboard Extension Bundle

By the Dashboard Extension Bundle, the first standard integrated extensions made their way into Qlik Sense. The feature can optionally be installed during the update. By choosing this option, you will find five new extensions in “Custom Objects”, which are now officially delivered with Qlik Sense and fully supported.

  • With the “Date Range Picker” you can select a single date or a range of dates from a calendar.
  • The “Navigation Buttons” can be used to define selections and actions for the entire app.
  • Using the “Tab Container” several tabs can be created within a Qlik Sense object in order to be able to display different visualizations or analysis views compressed for a selection.
  • A “Show/Hide Container” extension helps to display several visualizations in an object depending on the current selection criteria.
  • The “Variable Input” extension allows you to specify values for selections using buttons, drop-down menus and text input fields.

Continue reading Qlik releases Qlik Sense November 2018

Optimise Business Processes with Machine Learning and Dynamics NAV 2017

Machine Learning with Dynamics NAV 2017The unstoppable progress of digital transformation not only changes the way of living and working of private individuals, but also presents big challenges to companies on a regular base. An efficient way of dealing with the increasingly rapid transformation are modern technologies and approaches such as machine learning.

In order to stay at the pulse of the times, executives should prepare themselves in time for the continuing digitalisation of the business world. This digitalisation also offers companies numerous advantages that not only facilitate administrative processes and general everyday operations, but also secure competitiveness in the long term. For example:

  • Creation of flexible work forms
  • Service optimisation through online support
  • Cross-location working
  • Streamlining administration
  • Outsourcing administrative processes

In order to strengthen or even improve ones’ own position in the competition, to increase productivity, quality and sales, and to save money by a more efficient use of resources, the use of machine learning is recommended. Machine learning is not a finished software product, but an individualisable learning and optimisation process. Using machine learning, algorithms are developed with the aim of analysing historical data automatically and identifying patterns therein. The results can finally be used as predictions and thus as a basis for future business decisions or to solve problems.

Efficient machine learning with Microsoft Dynamics NAV

Using Microsoft Azure Machine Learning in combination with the data source Microsoft Dynamics NAV 2017 is worthwhile for the introduction of machine learning into ones’ own company. The advantages for the companies include the following:

  • Assess the sales potential
    Efficient business management with the help of “learning” sales forecasts based on historical data.
  • Prompt overview of stock shortages
    Timely overview of inventory developments based on current stock bookings and dynamic sales forecasts.
  • Decision optimisation
    Realistic predictions as solid decision-making bases by means of various machine-learning algorithms and continuous result comparisons.
  • Transparency of predictive quality
    Evaluation of the calculated prediction results in everyday practice. Successive optimisation of prediction quality through exclusion or weighting of the predictions obtained.

Machine learning is used wherever large quantities of data are analysed and compactede into business or scientifically quantity and value indicators. According to experts, machine learning will be ready for the market and business-relevant across the board in two to five years. It is worth getting started with it now.

Get an overview over Microsoft Azure Machine Learning in the following video:

Microsoft Azure Machine Learning

Microsoft Dynamics NAV 2017 – Cortana Intelligence

Thanks to the option of expanding the NAV environment by means of various extensions, Dynamics NAV 2017 users can now also view sales and inventory development forecasts using machine learning.

Dynamics NAV can be expanded with an extension that gives the possibility to acquire knowledge of potential future sales from past data and a clear overview of expected stocks and sales development. Microsoft runs this extension under the name “Cortana Intelligence”. The Dynamics NAV extensions have no functional or content-related connection to the “Cortana Intelligence” concept in Power BI.

The system uses historical data for forecasts and helps the user to manage company stocks more efficient. This supports the supply management and ensures the customers satisfaction by guaranteeing that frequently purchased goods are consistently in stock.

Inventory Forecast in Microsoft Dynamics NAV 2017
Inventory Forecast in Microsoft Dynamics NAV 2017

In order to achieve optimal forecasts all the time, the extension uses a trained algorithm within the cloud service Azure Machine Learning, determines a corresponding result using the training data and finally issues this data to the user.

The performance range of the extension “Sales and Inventory Forecast” in Dynamics NAV 2017 covers the following functional areas on the base of historical data:

  • Forecast within the cash flow module
  • Inventory forecast and direct creation of purchase orders
  • Sales forecast

In addition to the existing functionality, Dynamics NAV 2017 also offers developers access to the trained algorithm within Azure Machine Learning. In this way, forecasts for the future can also be accessed on the base of further historical data.

Microsoft Dynamics NAV 2017 – Extensions

Since the publication of Dynamics NAV 2017, the NAV environment has been comprehensively expandable with additional modules or extensions. Partner solutions will also be made more and more available as extensions in future.

The extensions “PayPal Payments Standard” and “Sales and Inventory Forecast” are already included in Dynamics NAV 2017. The former can insert a PayPal payment link into the invoice document and the latter uses Cortana Intelligence for the targeted analysis of corporate data as well as for the subsequent creation of meaningful forecasts – calculated by means of p0werful machine learning. In Dynamics 365 for Financials, further modules can be installed directly via Microsoft AppSource. For Dynamics NAV, partners have the possibility to make the solutions available as a NAVX package to be installed locally.

NAV 2017 - Extensions
NAV 2017 – Extensions

As an additional layer, extensions contain all object changes, new objects and rights and can also include .NET add-ins and initial data, for example for set-up tables. This layer can be installed and activated without restarting the service tier. The service tier changes all relevant SQL tables upon activation and shows the extensions to the user.

The objective is to simplify the entire update process. The basic system can be updated and the extension layer is automatically also updated by the service tier. You can always stay up-to-date without dispensing individualisations, as long as the basic system maintains all references for the additional layer.

The enlargements of extensions are available in the developer environment both in the debugger and in the code coverage. It is also possible to remove extensions again residue-free. Thereby, all additional fields and table data will be removed.

Microsoft Dynamics NAV 2017 officially available

As announced a few weeks ago, Microsoft has now officially launched its latest release Dynamics NAV 2017 on the market. According to Microsoft, the new version of the ERP system puts the worlds of NAV and Office 365 closer together, enhances the platform in different areas and creates completely new opportunities with various apps and Extensions.

Dynamics NAV 2017 Features
Quelle: Microsoft

With the release of Microsoft Dynamics NAV 2017, users and developers have now the following new functions, enhancements and improvements available:

  • Linked directly to Office 365 for easier navigation between Dynamics NAV and Office applications, such as Outlook or Excel as well as Power BI integration
  • Numerous functional enhancements in Financial Management and E-Everything (e.g. improvement of OCR services, cash flow, financial reports, faster payment of invoices thanks to integrated links to payment services such as PayPal and simplified creation of account categories)
  • Integration of Cortana Intelligence for the specific analysis and use of business data and generation of intelligent forecasts and decision making – calculated by powerful machine learning
  • Enhanced user experience due to numerous web, app, and phone client improvements as well as Smart Notifications, which guide users through processes relevant to the context and an Assisted Setup Wizard, which supports the setting up and importing of data, besides other things
  • Improved CRM integration through simplified usage within Dynamics NAV and enhanced CRM functions
  • Simplified categorization, management and filtering of articles by allocating article attributes and enhancing sales documents
  • Many new options for users thanks to helpful extensions that are provided by the already rolled out AppSource (e.g. Quick Box and PayPal)
  • Numerous other new features, such as the integration of Power Apps to create and publish streamlined apps and Microsoft Flow to link various cloud-based data and services as well as many enhancements for developers (e.g. additional object types)

You will soon be able to obtain detailed information regarding the feature highlights mentioned and many other new functions in Dynamics NAV 2017 in our new Dynamics NAV 2017 blog series.

On November 1st, Microsoft also released its new cloud-based business solution Dynamics 365 on the basis of Dynamics NAV 2017 in North America and Canada. We will keep you informed about its content and differences to the “traditional” NAV.