Daniel Esser
ORAYLIS GmbH, Senior Consultant, Solution Archtitect & Sales Engineer
ORAYLIS GmbH, Senior Consultant, Solution Archtitect & Sales Engineer
ORAYLIS GmbH, Senior Consultant, Solution Archtitect & Sales Engineer
Düsseldorf, Germany
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As a solution architect with a specialization in Microsoft technologies and a passion for innovation & progress, I support my clients in their digital business development.
Als solution architect met een specialisatie in Microsoft technologieën en een passie voor innovatie & vooruitgang, ondersteun ik mijn klanten in hun digitale business development.
Als Lösungsarchitekt mit Spezialisierung auf Microsoft-Technologien und einer Leidenschaft für Innovation und Fortschritt unterstütze ich meine Kunden bei der Entwicklung ihres digitalen Geschäfts.
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Is your data platform ready to adopt Power BI successfully?
Your baseline
As a part of a modern data architecture, Power BI enables you to bring together all your data - regardless of size and quantity - and gain insights that are relevant for decision-making. These insights can be made available to all users with dedicated authorisation rules via analytical dashboards, operational reports or advanced analytics. But what about your data solution? Is it ready to unlock the full potential of Microsoft´s leading analytics tool?
About this table session
Together with you, we discuss Power BI as a core element of a modern data architecture. We also talk about other data platform services if they are relevant to your enterprise architecture. Finally we can take a look at your current architecture and outline decision-relevant aspects for the implementation of a modern data platform.
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We offer you an optional architectural design speed dating with our experts. Here we develop together a brief vision of your target architecture based on your individual requirements. We also discuss procedures to refine the proposed solution. Contact us!
Design it like Netflix - Information Design in Power BI
Information design establishes more and more in enterprise reporting. With clear requirements for the structure and design of data visualizations, it enables the consumer to understand even complex information quick and easy. Power BI offers opportunities to develop and implement corporate visualization standards for every company and business.
We open our sessions with a case study that will spark your creativity and make you rethink how to design information in Power BI reports. Thereby you will learn how we applied Netflix' design ideas to a Power BI report. You will get know the concept of Information Design and the technical tools to align Power BI reports with this concept.
Finally, you will receive a short road map which supports you on your path to a company-wide information Design standard in Power BI.
How to extend Power BI with Process Mining
Process mining has become one of the fastest growing fields in business analytics. The reasons are obvious: Appropriate tools use real process data to visualize processes with all their varieties fast and efficiently. You get full transparency in your process landscape and can derive specific improvements including the automation of process steps, which leads e.g. to cost reductions or better customer expierences.
However most of these tools work independently to existing data platforms, so you cannot unlock the full value of your process data. That is why we will introduce you to a Gartner mentioned and Microsoft featured product which integrates directly in Power BI and your existing environment. Learn how perfectly Process Mining can be used in Power BI from simple reporting, process monitoring and analysis up to collaboration in o365 and process automation in power platform.
Also you will see how Process Mining benefits from standard Power BI features and how both worlds melt together seamlessly. In this way Process Mining is turning into a fixed part of your company-wide data analysis and a powerful decision-making platform for process optimisation.
Content:
- Demonstration of Process Mining in Power BI
- Use of Process Mining in standard reporting
- Collaboration in Office 365
- Robotic Process Automation (RPA) with Power Platform
- Integration in a standard data architecture
- Use Power BI features in Process Mining
Best practices for composite models in Big Data environments
In this session I would like to inform you about current experiences with large composite models in the enterprise environment by using Power BI. The overall architecture of a Modern Data Warehouse forms the basis for a successful model here.
You will get to know different apporaches with Azure Synapse or rather Azure Databricks as Direct Query Engines and what the strengths and weaknesses of the resulting systems are. Thereby big data models can be implemented best with the use of the latest Power BI features, such as Composite Model, Aggregations and Calculation Groups.
In particular, you will learn how these features work best together with enterprise requirements such as multi-language, security (OLS and RLS) and high concurrent usage. Finally, I would like to describe you how such a hughe model can be further developed in large teams and operated over the long term.
Data Strategy for Power BI Adoption – Your path to becoming a Data-Driven Company
To unlock the full potential of Power BI and its self-service approach, you need two things in particular: a modern data platform and a defined data strategy. Both together enable the essential cultural change to successfully transform into a Data Driven Company.
Based on two of our customers case studies we present you in our session a data strategy assessment framework, which achieves this change. The framework enables you to expand Power BI into an enterprise-wide data platform that combines Reporting, Data Analytics, Data Science and Internet of Things – all tailored to your needs and consistent with the corporate strategy. It also combines data-driven processes with user-centered design to end the war between IT and business departments and to enroll a customized data governance.
AI in Power BI – What's it all about
Like many tools nowadays Power BI is enriched by a number of so called AI features. Microsoft is using the term AI extensively for marketing purposes and on a regulary basis new AI features appear. But what are the use cases behind all of this? What is the difference between augmented AI and machine learning?
In this session we like to give you an overview what AI in Power BI is capable of and where the limits are. We will take a look at the other Microsoft AI products like Azure Machine Learning Services and Cognitive Services. You will learn how they interact with Power BI an where the differences are. Also you will get a quick look at how we use Power BI in our data science projects.
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