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Discover the latest tips and tricks for business and technical topics on Microsoft Dynamics and Data Warehousing. Our comprehensive blog series includes the popular BI in 60 Seconds, also available on YouTube. We share the most relevant and useful information to help you make informed decisions and improve your business. Also subscribe to our blog to not miss any of the fresh content!
In today’s digital age, data is becoming the lifeblood of businesses across industries. The ability to collect, analyze, and utilize vast amounts of data has become increasingly crucial for companies to gain a competitive edge. This is where the concept of data warehousing comes into play. In this comprehensive guide, we will delve into the…
The semantic layer is a crucial component in tabular databases, playing a pivotal role in data interpretation and analysis.
What is a Tabular Database? A tabular database, essentially, organizes data in rows and columns, much like a spreadsheet, but with far greater power. It’s designed for speedy querying and efficient data handling, making it perfect for intensive data management needs. Roles and Functions in BI4Dynamics Tabular Database: Serves as the semantic layer for user…
If your organization relies on the “Export to Data Lake” feature in DFO for its BI initiatives, there’s important news you can’t afford to miss. This feature was deprecated as of the 15th of October 2023 and new installations are not possible. Existing customers can use the service until the 15th of October 2024. While…
Corporate financial reporting is a critical aspect of business operations, especially for multinational corporations. In this guide, we will explore the key foundations of financial reporting and how to effectively use financial statements for corporate clients. Key Foundations of Financial Reporting Over the years, we’ve found that the financial requirements of corporate clients across different…
In the world of cloud computing, cost-effectiveness is a key factor. You might have noticed that the prices for Azure Virtual Machines (VMs) in some regions are significantly lower than in North America or Europe. For instance, if you look at India, the prices are 35 to 40 percent less. But does it make sense…
Identify Your Best Customer with Customer 360 Dashboard in BI4Dynamics What is Your Best Customer? A question that many businesses ask themselves time and again is, “who is my best customer?” The answer isn’t always straightforward, as it isn’t a single criterion that defines the best customer. Imagine having the answer to that question in…
How to Choose the Right Azure Virtual Machine for Data Warehousing With over 600 virtual machines available on Microsoft Azure, selecting the right one can be challenging. In this guide, we will explore the parameters of VM needed for data transformation and the number of cores needed to increase throughput and processing speed. When it…
What we need to consider when deciding on the type of analytics project to start within a business is to look at the factors that affect the scope of the project. These could be as simple as the available budget or resources that we have to devote to the project, though other factors that may…
A Comprehensive Guide to Data Validation and Model Health Checks Introduction to Data Quality Greetings, Business Intelligence enthusiasts! Welcome to another episode of “BI in 60 Seconds.” Today, we will delve into the critical topic of data quality, specifically when using BI4Dynamics. We will discuss the importance of data validation and model health checks to…
Normally when an SMB hears a phrase like ‘Data Warehouse’ the first thing that comes to mind is prohibitive costs. Also, there are horror stories about the implementation process due to the rigidity of the data modeling, which is measured in months, not days. What makes a data warehouse the preferred choice for enterprises is…
This blog post will explore the importance of metadata in designing a Business Intelligence (BI) project, and how BI4Dynamics leverages it to automate data warehousing Firstly, let’s define metadata. It refers to the additional information and descriptions of data. For instance, when taking a picture using an iPhone, the metadata information includes the geolocation and…
Why Data Quality matters and How BI4Dynamics Addresses it? The success or failure of a Business Intelligence (BI) project hinges on one crucial factor: Data Quality. To ensure accurate data is used, BI4Dynamics provides a Data Validation process during the Proof of Concept phase (PoC). Firstly, how BI4Dynamics performs Data Validation? From BI4Dynamics, you would…
Indexing data warehouse tables Too many or too few indexes can hurt performance. Non-active indexes may disturb SQL server in generating the optimal execution plan. Managing indexes can become an art that only experienced professionals can make right. Not accidentally, models in BI4Dynamics data warehouse are know to the same engine that generates the indexes.…
Microsoft Power BI has lent itself well to the SMB space because it supports a variety of data sources, it is relatively easy to create data models and it enables simple deployment with immediate results. Its usage, at least at the beginning of a project does not require specialist BI knowledge. If your main data…
Introduction This post describes the data transformation process from Microsoft Dynamics D365 BC SaaS to visualization tools (Power BI, Excel). It includes also the total monthly cost for the project. Data transformation diagram Data transformation is done in the following steps Export Business Central (BC) data to Azure Data Lake Load data to the Data…