MICROSOFT PROJECT FOR THE WEB

THE CLOUD-BASED PROJECT MANAGEMENT TOOL OF THE FUTURE

Project for the Web is the modern project management tool for project, program and portfolio managers and impresses with reduced complexity and a modern user experience compared to Microsoft Project Online. It provides all the functionality needed to plan, manage and execute a project - fully integrated with Microsoft Teams.

In order to map a project holistically and thus along the process chain, recurring manual steps are necessary in the Microsoft standard. The automated creation of a project by means of an approval process and the use of a project template is not available out of the box from Microsoft.

This is precisely why we have developed a smart solution on the Power Platform, turning manual tasks into automated workflows.

AUTOMATED CREATION OF ALL PROJECTS

With the provisioning tool we have developed, we make it possible to automatically create projects based on their process in a simple and straightforward manner.
Persons who are allowed to create projects must define relevant project data such as project manager, project start and project type. When the project is requested, the approval workflow is triggered.

Determine components and apply for project

PROJECT APPLICATION TRIGGERS WORKFLOW

The triggered workflow initiates the sending of an Adaptive Card in MS Teams via Power Automate to a specific group of people who are responsible for the release.

Sharing in teams via Adaptive Card

AUTOMATED CREATION OF THE PROJECT

The project itself is created and created automatically after approval using Azure components. The project manager has the choice between a project plan template or an empty project.

Project created from template

A triggered project application, with manual creation of the project without project template is now a thing of the past.

Compared to this, the advantages of the automated process become clear.
Once defined, it is easy to fall back on the template for each new project. This not only saves time, it prevents differentiated procedures and creates more control.

PROCESS INCLUDING AUTOMATION AND TEMPLATE

ADVANTAGES

  • Full control over who creates which projects
  • Uniform approval process
  • Automated creation of projects with predefined information
  • Once defined, the project plans can always be referred back to
  • Uniform structure of the project plans
  • Compliance with predefined project standards
  • Compliance with defined processes
  • Ensuring transparency across the entire process chain using Power BI

Disadvantages

The project is created only after the release

PROCESS WITHOUT AUTOMATION AND TEMPLATE

The process without automation consists only of creating the project and building the project plan.

What appears to be much shorter and uncomplicated at first glance leads to manual steps that have to be repeated for each new project - and are difficult to control without provisioning. The resulting additional effort also means more costs and leads to less transparency.

ADVANTAGES

Immediate creation of projects - but time-consuming and always repetitive step

DISADVANTAGES

  • No control over who creates which projects
  • No uniform approval process
  • No automated creation of projects with predefined information
  • New creation of project plans necessary for each new project
  • Differentiated structure of project plans possible
  • Compliance with predefined project standards not guaranteed

Contact

Maximilian Sauer

Business Analyst

Forschung und Vorbereitung

  • Einfacher Datenzugriff mit Pipelines, Lakehouse und Notebooks
  • Apache Spark und Python
  • Data Wrangler als Bestandteil von Notebooks

Experiment und ML-Model

  • Aufbau von Experimenten zur Überprüfung von Hypothesen
  • Aufbau von ML-Modellen auf Basis Azure Synapse ML
  • Einsatz von Notebooks mit Apache Spark und Python

Insights gewinnen

  • Speicherung von Vorhersagen in OneLake
  • Bereitstellung neuester Vorhersagen in Power Bl mittels Direct Lake Anbindung

Data Science Prozess

Dataflow Gen2

Datenpipeline

OneLake Shortcut

Data
Warehouse

  • Erfassung von Daten mit Dataflow oder Datenpipeline

  • Shortcuts aus OneLake, Azure Data Lake etc.

  • T-SQL Read/Write

SQL-Endpunkt des Lakehouse

  • Automatisch aus Lakehouse generiert

  • Kompatibel mit SQL Server Management Studio und Azure Data Studio

  • T-SQL Read-Only

Dataflow Gen2

Datenpipeline

OneLake Shortcut

Event Streaming

  • Erfassung, Transformierung und Routing von Real-Time Events

  • No-Code Experience

KQL Database

  • Bevorzugte Datenhaltung für Event Streaming
  • Schnelle Speicherung und Abfrage von Daten
  • Basis für Power BI Reports

Dataflow Gen2

Datenpipeline

OneLake Shortcut

Lakehouse

  • Speicher für strukturierte und unstrukturierte Daten
  • Basis für BiaData Transformationen und Analysen
  • SQL-Endpunkt und Basis für Auswertungen

Notebook

  • Interaktive Compute für Transformation von BiaData
  • Entwicklung von Machine Learning
  • Modellen und Apache Spark
    Anwendungen
  • Python, R und Scala

Single Source of Truth.

Im Microsoft Fabric OneLake werden Daten aus verschiedenen Quellen in einem zentralen System gespeichert, das bietet zahlreiche Vorteile wie

  • Datenkonstistenz und hohe Datenqualität
  • Steigerung der Effizienz und Produktivität
  • Verbesserte Zusammenarbeit im Unternehmen
  • Erleichterte Datenintegration und -analyse
  • Kostenreduzierung
  • Compliance und Sicherheit

Citizen Developer.

Durch die Benutzerfreundlichkeit des Tools entstehen folgende Vorteile

  • Intuitive Oberfläche
  • Einfache Automatisierung und Datenintegration
  • Gute Kollaboration und Zusammenarbeit
  • Schnellere Entwicklungszyklen
  • Hohe Flexibilität und Skalierbarkeit
  • Fortschrittliche KI Komponenten

More Flexibility.

Eine leistungsfähige, integrierte und benutzerfreundliche Plattform, die es Unternehmen ermöglicht, ihre Daten effizient zu verwalten, tief gehende Analysen durchzuführen und fundierte Entscheidungen zu treffen. Dies trägt wesentlich zur Optimierung von Geschäftsprozessen und zur Steigerung der Wettbewerbsfähigkeit bei. Besondere Vorteile

  • Nahtlose Datenintegration durch einfache Datenpipelines
  • Flexible Verarbeitung von strukturierten und unstrukturierten Daten
  • Schnelle Anpassung an Veränderungen im Unternehmen
  • Konsistente Datenhaltung
  • Zentralisierte Datenverwaltung
  • Skalierbare Data Warehousing und Data Science Komponenten
  • Leistungsstarke Datenanalysen in Echtzeit

Design

According to your wishes we create report designs according to the latest information design and UX/UI standards.

Our goal is to enable optimal report usage with the appropriate story telling.

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Frontend

Our developers design customized reporting solutions.

Particular attention will be paid to the following:

 

Building Power BI Infrastructure

Create Power BI Reports

Workshops & Trainings

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KPI's

With our broad expert knowledge in numerous business areas, we offer you holistic support in the development of key figures

Distribution

Retail, Wholesale, E-Commerce.

Controlling + Finance

Accounting, sales controlling, investment controlling.

Supply Chain Management

Logistics, purchasing, production.

Marketing

Websites, email marketing, social media campaigns.

Together with you, we define the necessary key figures and KPIs.

Backend

Unsere Data Engineering Experten generieren die richtige Kulisse für dein Reporting.

Mit der Microsoft Produktpalette entwickeln wir Data Warehouses, Data Lakes und Data Lakehouses nach neusten Standards.

Dazu nutzen wir unter anderem:

Azure Data Factory

Azure Data Lake

Azure Data Bricks

Azure Synapse

Azure SQL

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SSIS, SSRS

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Microsoft Fabric

Central reporting

Single Point of Truth

For reporting, we create the basis for powerful data analyses.

At a glance

Create visualizations that draw attention to the essentials.

Clear

Easy to consume yet meaningful and accurate.

Customized design

According to the latest design standards and corporate identity guidelines - On all devices!

Enterprise Reporting & Self Service

One place

Meet your self-service BI and enterprise data analytics needs on a single platform.

Share

Create & share reports, apps and data models. Relieve IT resources with true self-service.

Gartner Magic Quadrant

Microsoft is ranked as a Leader in the March 2022 Gartner® Magic Quadrant™ for Analytics and Business Intelligence Platforms for the second year in a row

Data management

Your data management in an individual data warehouse, based on the Microsoft SQL engine. With Azure Data Factory, Azure Data Lake Storage and Microsoft SQL Servers, Microsoft provides a comprehensive modern data warehouse solution for companies of all sizes, whether in the cloud or on-premises. 

Benefit from established techniques like SSIS and SSAS and leverage cutting-edge solutions like Azure AI & Machine Learning.

Efficient and centralized storage

Relief of the operational databases

Reduction of dependence on manual processes of data evaluation

Consistent database for reporting applications

Consolidation and aggregation of data

Creation of a single point of truth

Architektur

Kom4tec - BI Analytics - Backend - Architektur

Azure Data Lakehouse

Azure Machine Learning Architektur

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Microsoft Fabric

Data sources

Beispiele für Power BI Datenquellen

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Azure

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Excel

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salesforce

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Google Analytics

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SAP

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Adobe Analytics

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Asana

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Github

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IBM DB2

Data sources

Beispiele für Power BI Datenquellen

Kom4tec - Azure Logo - BI Analytics Data Sources

Azure

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Excel

Kom4tec - Salesforce Logo - BI Analytics Data Sources

salesforce

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Google Analytics​

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SAP

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Adobe Analytics

Kom4tec - Asana Logo - BI Analytics Data Sources

asana

Kom4tec - github Logo - BI Analytics Data Sources

Github

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IBM DB2