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Why Choose Us

Why Organizations Recognize EPC Group's Consulting Services as the Industry Leader
Named Gartner's Cool Vendor of the Year
Named Microsoft Partner of the Year Finalist,
2017 & 2018
Over 4 million Office 365 users successfully migrated
200+ years combined senior team migration experience
Expertise migrating to Office 365 in every vertical
EPC Group's Chief Architect Errin O'Connor was on the original SharePoint and
Office 365 Beta teams

Introduction

Power BI business analytics tools empower your team members at all levels of your company to analyze data and share actionable insights. Power BI Dashboards provide a 360-degree holistic view of your most important key data in one place on virtually any device. With one click your users can explore data using intuitive tools to quickly locate correct answers. Power BI enables you to do a deep-dive into your data while being productive with what you created. With a plethora of built-in visuals and a gallery of custom visualizations, Power BI makes it easy to use advanced analytics to effectively communicate across your organization and address key business challenges.

Azure Predictive analytics

Wouldn’t it be great if you could review the latest output of your company’s fraud model on demand and analyze the thoughts of social media users who utilize various social media platforms to post on your services or products. Power BI has the predictive power of advanced analytics to enable team members to build predictive models from their data enabling businesses to engage in more data appropriate decisions across all aspects of the organizations. Utilizing machine learning, computers are able to engage without having to be programmed. They can now grow and transition when exposed to new data once machine learning has become part of the norm through speech recognition programs and higher quality web searches. Team members can quickly create predictive models in Azure Machine Learning Studio by dragging, dropping, and connecting data modules. Through Power BI you can now visualize the results of the machine learning algorithm. If you would like to achieve this in Power BI you need to first use R to extract data from Azure SQL that has not yet been scored. After that you can hit R to call the Azure Machine Learning service and send over the unscored data. Write the output of the Azure Machine Learning model back into SQL and use R to interpret the scored data with Power BI. After you do this you can go ahead and publish the Power BI file into Power BI.

R Integration

R is a programming language widely used by data scientists and data analysts. R integration with Power BI brings this language into all phases of generating insights. Users can run R scripts directly in Power BI and import the data sets into a Power BI data model. R in Power Query performs advanced data sanitization and preparation tasks like outlier detection and missing values completion. R visuals enable you to visualize data by gaining pliability and advanced analytics knowledge. Once created, you can share the R visuals in your reports and dashboard, where they are filterable. A deep background in Power BI is unnecessary working with R to leverage everything that R can do. R custom visuals afford you the luxury of applying the power of R without having to write one line of R. Just import your R visual into your report and drag your data so you can update it. Reports using R can be shared with anyone since R runs directly in the Power BI service.

Power BI Data visualizations

Data visualizations give you the ability to interact with your key data to find actionable business insights. You can choose from a list of available visualizations and add custom visualizations that you create or select from the gallery. Visualizations that have been community sourced within Power BI have visuals with many useful features. To add a community visualizations just visit the library on the Power BI site. On the Welcome to Power BI custom visuals page, browse the gallery. R visualizations R visualizations in Power BI give you the ability to build new or use existing advanced analytics in R visualizations through the community R Script Gallery. Utilizing the R Showcase, you’ll be can input complex algorithms, visualizations, and more. R custom visuals do not require much advanced skill. You can import an R custom visual to your report and the R power will be applied without having to write any lines of code. Creating Custom visualizations Power BI Custom visualization gives you the ability to build full custom visuals to add to reports or submit to the community so that other folks can utilize them. Building custom visuals using Power BI developer tools, which let you design custom visuals by creating custom visual TypeScript code and creating CSS. Once you’ve tested your custom visual, you can export it to Power BI dashboard or submit it to the Power BI visuals gallery.

Data Analysis Expressions (DAX)

Data Analysis Expressions or (DAX) is a suite of functions and constants that can be used in a formula or expression to calculate values. DAX assists you in creating new information from data that is already in your model. Learning how to create custom DAX formulas helps get you the most out of your data. It’s easy to build and you can even create reports with actionable key insights without using any DAX formulas. If you need to analyze growth percentages across various product categories or you need calculate year end growth compared to market trends, DAX formulas provide these capabilities. Learning how to create DAX formulas will ensure your getting the most from your data. When you have access to the right information at the right time you begin to solve real organizational problems that can affect your bottom line.