We support you in keeping up with these changes and help you to become more of a proactive “doer” and less of a passive “reactor.” As consultants, service providers and partners, we cover all areas of your company – from IT infrastructure, IT application, demand management in your departments and business units, to general management and the board of directors. What drives us? Our experience and curiosity, as well as our ability to think abstractly and with a sense of proportion – which also shape our our spectrum of services for you:
Next-generation services
- Strategies for building company-wide digital platforms
- Concepts for data and information management
- Development of guidelines and processes for governance, security and data protection
- System architectures
- Technical and business modeling of dedicated information systems
- Applications of artificial intelligence and machine learning
- Concepts for the cloud and hybrid infrastructure
- Concrete implementation, commissioning, and support throughout all phases
Data is the raw material – processing it is the refinement. This, in turn, is the foundation for new digital products, visual analysis, artificial intelligence, and machine learning.
Welcome to the future
Next Generation Business Intelligence & Intelligent Cloud
Data lakes, data platforms, modern data warehouses
These are applications involving data lakes, cloud data warehouses for big data, IoT, streaming, real-time, and batch, as well as a basis for self-service BI, artificial intelligence, and data scientists.
Artificial intelligence, machine learning, cognitive services, edge computing
Includes the development of intelligent procedures based on artificial intelligence for predictive maintenance, cause root analytics, timeseries prediction and recommendation engines. Plus complete application life-cycle management from the development process to deployment, operation and infrastructure including edge computing (vision, speech recognition, language understanding, bot integration).
Self-service business intelligence and collaboration
This includes building solutions based on Microsoft Power BI for company-wide or departmental reporting, analysis, and self-service BI.
Cloud enablement, cloud automation
This involves solutions, structures and processes for the commissioning and integration of cloud-based resources as an extension or replacement for existing infrastructure.
SAP data platforms, connectivity and integration
Development of SAP-specific information platforms, real-time connection to data lakes, integration into self-service BI solutions such as Microsoft Power BI, development of hybrid platforms from SAP and Microsoft Azure.
How we can help you
Fields of expertise
Data platform/data lake concepts and processes
Here is our ambitious goal to build a central and comprehensive data platform for you – a “single point of data.” This requires intelligently modeled structures and processes. In addition to practicality and reliability, simple maintenance and agile development options are just as important as traceability and compliance with data protection and data security requirements.
We develop data organization concepts and logical data architectures for your company, establish data catalogs, data lineage, master data management as well as data quality and data stewardship, and ensure data governance, data security and GDPR/DSGVO compliance.
Self-Service BI concepts and processes
“Self-service” suggests that there is no longer any need for central guidelines and concepts. But the opposite is the case. The more design freedom is shifted to the specialist departments, the more carefully the underlying basis must be prepared and the processes defined.
Corresponding topics include demand analysis and control, expectation management, usage concepts, organizational development, data management processes, consideration of compliance guidelines, authorization concepts, integration into data lake concepts, agreement of SLAs, initial and continuous training as well as rollout.
Modeling, automation, application life-cycle management
In the area of dedicated information systems, we model structures and levels for data management and transformation along your process chains. Traditional data warehouse concepts and ETL processes are extended or transferred into data lake concepts and ELT approaches.
Depending on the character of the data, the requirements for the final quality of the processed data, the urgency of the task and the long-term needs, different concepts come into play. This results in domains of varying data quality – from raw data, no or little curation, finest granularity, and maximum timeliness, up to strictly curated data in terms of traditional data warehouse concepts. Depending on the requirements and application scenario, all gradations in between are also possible.
We cover the traditional data warehouse and data mart concepts according to Inmon and Kimball, data vault modeling (CDVP2 certified) according to Linstedt as well as modern lambda architectures and successor concepts for real-time processing, real-time analysis, streaming, and IoT requirements.
Our services also include the development of complete automation frameworks for the metadata-driven generation of structures and data transformation packages, process chain control, error handling, logging and monitoring as well as application life-cycle management with all aspects of development processes from source code management, testing, deployment, automation to “continuous integration.”
Technical models
In the area of business applications, we have mastered multidimensional modeling (OLAP, MDX, DAX). For dedicated application areas, we develop special analytical models that contain all technical definitions and specifics. Perspectives, hierarchical structures and key figures of the business logic are formulated in models and form the basis for reporting, dashboards as well as for visual, interactive and dynamic analyses and the area of self-service BI.
In addition to technical expertise, we can score points here with our high level of professional understanding. Our experience ranges from classic cost/performance, cost center, cost unit and profit center accounting to cost allocation accounting, time-driven activity-based costing (TD-ABC), balanced scorecard, controlling, key performance indicators and information systems for sales, marketing, production, payment systems, services, logistics, real estate management as well as public budgets, justice, police and social affairs.
Here’s what we work with
Products
The range of software products on offer has never been as extensive and volatile as it is today. That’s why we continuously observe new trends and manufacturers and evaluate their products. Our goal is to identify the best tools that will be reliable over a long period of time and to offer outstanding, market-leading expertise to go along with them:
Snowflake
Snowflake is “the only data warehouse built for the cloud” and the central component in cloud-based modern data warehouse and data lake architectures. As the leading multi-cluster MPP system, it offers very high data volumes, performance, scalability and ease of operation.
Microsoft SQL Server 2019 and SQL Server big data clusters
A product developed and matured over 20 years with the components RDBMS, SQL Server Analysis Services, SQL Server Integration Services, SQL Server Reporting Services. In the latest generation 2019, the “SQL Server big data cluster” version includes “built-in” functions to support big data scenarios. This includes the direct integration of TensorFlow, Spark, SparkR and HDFS.
Microsoft Power BI (Enterprise Reporting und Self-Service BI)
Power BI is the self-service Business Intelligence solution for collaboration in small teams or group-wide organizations. It includes functions for building intelligent data models, dashboards, reports, and information management, taking into account mobile devices such as smartphones and tablets.
Azure Cloud Infrastructure (Network, Security, Authentication, Automation, Deployment, Monitoring, DevOps)
The use of cloud-based services requires the structuring, protection, integration and operation of cloud-based “virtual” infrastructure.
Azure Databases (Azure SQL, Azure SQL Data Warehouse, Cosmos DB)
These are cloud-based SQL and NoSQL database systems for structured, semi-structured, document-based and graph-oriented requirements.
Azure Data Platform Tools (Data Factory, Event Hub, IoT Hub, Stream Analytics)
All services for building cloud-based and hybrid data lake and modern data warehouse solutions for data management, flow control, streaming, control and automation.
Databricks, Spark, Azure Machine Learning Services, Azure IoT, Edge Devices, Azure Cognitive Services
Cloud-based infrastructure and tools for the development and training of applications in the field of artificial intelligence and machine learning, as well as distribution and provision via what are known as “edge devices” for latency-free integration in non-cloud-based locations.
SAP, SAP BW, SAP HANA, SAP BODS, SAP SLT, SAP on Azure, SAP Connectivity
This includes SAP-clean information systems as well as technologies for the integration of SAP environments and data from SAP systems into holistic, hybrid data concepts using connectors, replication mechanisms and transformation services. In addition, the modeling and deployment of SAP data sources for use with Microsoft Power BI as a self-service BI solution.
Corporate groups, medium-sized companies, public administration
Our clients
Our clients include both companies and groups in the German Top 500 as well as larger mid-sized companies and public administration. We currently cover the following industries and sectors: energy, real estate, services, production, mail order, retail, gaming, insurance, finance, logistics, public administration, BOS, law enforcement and police. Our contact persons and clients come from the fields of management, IT management, innovation departments, and specialist areas.
Tailor-made for your needs
Service formats
Depending on the requirements, issue at hand and project phase, we offer our services in various formats:
Advisory and supervising
Here, we offer you our consulting services on strategic issues or to convey a holistic understanding, to derive “big pictures,” and to initiate feasibility studies and brainstorming as well as second opinions and evaluations of already existing concepts. Our contacts in this area are mostly strategy managers, IT managers, and enterprise architects. Depending on the situation, this service is provided on a selective or continuous basis to accompany the project.
Holistic implementation
We offer implementation services for all concepts and architectures, specialist consulting and strategic support – across all areas and products.
Handover
We offer our “handover” service for all implementations carried out in the course of the project. This enables you to reliably operate the created solutions under your own direction.
Training sessions and workshops
We offer training for the complete range of solutions. In the context of projects, these are carried out for end users, IT operations or competence teams in terms of business, technology or content.
Independent of projects, we also offer standardized training for Microsoft Power BI. Depending on your needs, these can be tailored to your specific requirements and equipped with your data as individual workshops. In addition, we conduct workshops especially for your technical or specialist teams to communicate new technologies and concepts in a compact and interactive form.
We also offer workshops for your technical or professional teams to convey the new technologies and concepts in a compact and interactive form.
Proof of concept
Does it make sense to introduce a certain product? Are our framework conditions suitable for this? Have we properly understood the preliminary sketches and how it works? Proofs of concept (POCs) aim to answer these and other questions in a short period of time in order to then make the right investment decisions based on more profound knowledge.
In a “scoping workshop,” the questions are defined more precisely – what is “in scope,” but also what is “out of scope.” Secondary objectives, such as “we want to gain a deeper understanding of the tool,” are formulated, preconditions are worked out and the process is scheduled. The actual POC generally requires 10 days of external effort. This is followed by an evaluation of the results and discussion of the additional findings.
Data warehouse cloud migration and modernization, Hadoop substitution
Is the performance of traditional database systems no longer sufficient, have key components been discontinued, are costs getting out of hand, are Hadoop systems difficult to control and have not delivered what they promised? Or does the problem require a fundamentally new strategy while retaining existing functionalities? We clarify these questions together with you.
We bring with us sound experience in the field of cloud migration and modernization of Big Data, data warehouse and business intelligence solutions. Our service portfolio ranges from “lift and shift” to re-engineering and de facto new implementation.
Operational support and operation
Depending on the desired model, we will provide you with recurring support on a selective basis or at the 2nd or 3rd level of support. Alternatively, we can take over the complete operation of your application at the agreed service levels.
