Data Management Consulting

Data Management Consulting
From Strategy to Implementation – Comprehensive Solutions from a Single Provider

In an increasingly data-driven global economy, enterprises confront the challenge of efficiently collecting, managing, and leveraging vast quantities of complex data. Our experts are dedicated to assisting you in overcoming these intricate challenges. 

With a modern data warehouse (DWH), you create the basis for bundling data from different sources centrally and transforming it into valuable information. Our data management consulting supports you in developing efficient data warehousing strategies and increasing data quality. With customized data lake, data warehouse and data lakehouse solutions and experienced consultants, we support you from strategy to implementation and beyond (IT-Services). With our data management consulting (cloud and on premise), we ensure that your data is optimally managed and that your data strategy is future-proof.

Our Data Management Consulting Services
An Overview

Data Strategy

Within an evolving data landscape, it is imperative for organizations to continuously adapt their data strategy. This Data Strategy serves as the foundational framework for all subsequent data-driven initiatives within your enterprise. Utilizing a proprietary procedural model, our experts guide you through seven distinct phases of strategy development, spanning from your corporate vision to ongoing monitoring. This bespoke approach enables us to tailor the data strategy precisely to your specific requirements.

Technology and Tool Selection

Selecting the appropriate technology is paramount for addressing the complexities faced by contemporary enterprises. We assist you in identifying the technologies best suited to your specific requirements and in determining how existing systems can be augmented or seamlessly integrated into hybrid analytics environments. Our consulting specialists will demonstrate the extensive capabilities of modern Data Lake solutions, empowering you to efficiently store and analyze vast datasets.

Analytics Architecture

A future-proof data architecture serves as the cornerstone for efficient data analytics and informed, data-driven decision-making. Through our Data Management consulting, we collaborate with you to design a scalable architecture that optimally supports your data processing across both cloud and hybrid environments. Our methodology ensures that your architecture remains flexible and adaptable, thereby accommodating future requirements effectively.

Conception and Deployment of the Analytics Platform

The precise implementation of your analytics platform is critical for maximizing resource utilization. By seamlessly integrating your analytics solution into your existing infrastructure, we facilitate smooth and secure operational continuity. Our expertise ensures the efficient consolidation of relevant data sources, thereby establishing an intuitively usable environment that serves as a technological foundation for Data Governance, Data Analytics, and Data Science, among other applications.

Data Integration and ETL/ELT Processes

Efficient data integration and optimized ETL/ELT processes are pivotal for the success of any Data Warehouse or Data Lake implementation. Our experts assist you in establishing a flexible, agile development environment that seamlessly integrates proven software development tools. Through our solutions, we ensure that your data can be processed and delivered in real-time – efficiently, securely, and scalably.

Data Modeling and Data Warehouse Automation

The development of data models is frequently a time-intensive endeavor, particularly when implementing numerous models. Our DWH automation solution streamlines the data modeling and Data Warehouse generation process by automating tests and model creation. This approach enhances the overall efficiency of the process, facilitating rapid and structured implementation even in large-scale projects, without compromising flexibility.

Webinar

The Data Lakehouse – A Use Case in Databricks and SAP Datasphere

In this whitepaper, we provide a step-by-step guide, utilizing illustrative data, on constructing a Data Lakehouse with SAP Datasphere and Databricks. Furthermore, we discuss the strategic rationale for completing the Lakehouse within Datasphere, particularly within the business context prevalent among many German enterprises.

 

References
Successful Data Management Consulting Projects

The implementation of SAP BW/4HANA with ISR resulted in significantly reduced development cycles and a 90% acceleration in data loading. Furthermore, operational costs were substantially curtailed. The expedited delivery of results to our business units also considerably enhanced user adoption. Our long-standing partnership with ISR is distinguished by transparency, an unwavering commitment to quality, and a customer-centric innovation capability aimed at delivering optimal solutions.
Dennis Steinhart
BW Fleet Service
Apparel
Retail

Migration of an Oracle DB to SAP Datasphere and SAP Analytics Cloud

Active Individuals
Retail

Development of an Audit-Compliant Warehouse Module using Microsoft Azure and Microsoft SQL DWH

Your Foundation for Modern Data Management?
The Data Warehouse

Effective modern data management relies on a stable and scalable data foundation. This is precisely where the Data Warehouse (DWH) comes into play: It serves as a central platform where data from various sources is collected, consolidated, and harmonized. This provides organizations with a single source of truth, establishing reliable foundations for decision-making and paving the way for data-driven strategies.

However, a Data Warehouse is far more than just a database. It forms the foundation for Business Intelligence (BI), reporting, and analytics. Only through integration into a well-conceived Data Warehousing strategy are data not merely stored, but actively made usable. Data Warehousing encompasses the entire process – from data integration and preparation to its provision for business departments.

Key success factors in Data Warehousing include:

  • ETL Processes (Extract, Transform, Load): Automated procedures that extract, transform, and load raw data from various systems into the DWH.
  • Scalable Architectures: Whether on-premises, cloud-based, or hybrid – modern DWH solutions evolve with your company's requirements.
  • Self-Service BI & Analytics: User-friendly access that empowers business departments to conduct analyses independently.

With our data management consulting, we support you in designing your DWH to be future-proof. Together, we develop a Data Warehousing strategy that enhances data quality, accelerates processes, and sustainably transforms your organization into a data-driven entity.

SAP Datasphere in Practice – Our Customers' Experiences

In our webinar, you will learn how SAP Datasphere can function as an open data platform with automatically generated data models and how you can leverage the Command Line Interface (CLI) for quick wins.

BARMER
Transition of HR Reporting from SAP BW to SAP Datasphere

Transition of HR Reporting
A street in twilight, with fast-moving cars visible primarily by their lights.

The project at BARMER involves the implementation of SAP SuccessFactors and the modernization of HR reporting. A successful proof-of-concept has validated the target architecture, comprising SAP Datasphere and SAP Analytics Cloud. Thus, the redesign of HR reporting for personnel controlling, utilizing the latest SAP cloud technology – SAP Datasphere – has been highly successful. 

Register now for a free
BW/4HANA Migration Assessment

BW/4HANA Migration Assessment

Planning an SAP BW/4HANA migration? Start correctly – with our fixed-price Migration Assessment.

Mainstream support for SAP BW 7.5 ends in 2027 – therefore, simply 'carrying on as before' is not an option. At the same time, BW/4HANA is far more than a simple upgrade: the data model and architecture undergo fundamental changes. Our Migration Assessment will show you within a few weeks which migration path, effort, and risk are realistic for your company – based on facts, not assumptions.
Utilize our BW/4HANA Migration Assessment as a cost-effective, low-risk entry point into your SAP BW/4HANA transformation.

Data Management Consulting with ISR
Why You Should Choose Us!

Are you seeking a reliable partner for your data management project? We offer our extensive expertise to support you. From strategy development to successful implementation, we guide you with a comprehensive understanding of modern data management architectures. Our experienced consultants assist you in harnessing your full data potential and making informed, data-driven decisions. Thanks to our long-standing partnerships with leading technology providers such as SAP, IBM, and Microsoft, we consistently provide vendor-neutral and cross-technology consulting.

We also offer these consulting services
Data and Analytics

Data Strategy Consulting
Partnering with us, your data will become a strategic resource for your sustainable business success.
Data Science Consulting
With our solutions, we design your data processes to be efficient and future-proof, enabling you to gain competitive advantages.
Data Analytics Consulting
We help you gain valuable insights from your data for the sustainable success of your enterprise.
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Leverage the extensive expertise of our Data Management Consultants to future-proof your data strategy. Let us collaboratively develop tailored data management solutions that sustainably prepare your company for the future. Feel free to contact us for a no-obligation initial consultation.

wilhelm hardering

Wilhelm Hardering
Senior Executive Manager
Data & Analytics
wilhelm.hardering@isr.de
+49 (0) 151 422 05 422