Strategic Data & AI Management

Value Added from AI & Data

From Data Products to Autonomous Intelligence

Data is not a byproduct of IT—it is your company’s most valuable asset

We help you view data as true data products: high-quality, user-centric, and ready to use for your AI use cases. Using an integrated AI and data platform, we build the infrastructure that transforms raw information into measurable business success and automated decisions.

Set the direction and guidelines

Data quality and value derived from data through manageable data management, including operationalization via data products, data platforms, as well as data mesh, ontology, and agentic layers

Customized consulting services

such as the development and management of AI models

Data management provides the foundation for all planning and decision-making processes within the company. It ensures that all data is made available in the appropriate quality for data-driven business models and optimal use of the data, while also safeguarding data protection and information security.

Business Intelligence (BI) encompasses all technologies and processes that collect, organize, and visualize data. Generally speaking, BI provides a look in the rearview mirror.

Artificial intelligence (AI) is more like looking through a telescope. It uses algorithms and machine learning to identify patterns in data, automate tasks, and make predictions about future events. This is what makes it possible to increase efficiency through automation and proactive strategic planning in the first place.

AI and BI Strategy & Implementation

Set the direction and guidelines – Benefit from Hanschke Consulting’s templates and best practices

Developing or adapting an AI & BI strategy through analysis, design, and implementation

  • Vision & Alignment (Why?)
  • Data Foundation (What is it?)
  • Use Case Management (What?)
  • Architecture & Technologies (How?)
  • Governance & Compliance (How & securely?)
  • Talent & Culture (Who?) and
  • Planning (When?)
Systematically define the direction and guidelines

Quick Start & Expansion of Lean Data Management

Data quality and value derived from data through manageable data management, including operationalization via data products, data platforms, data mesh, ontologies, and agentic layers: Providing all data at an appropriate quality level to support data-driven business models and optimize data utilization, while ensuring data protection and information security.

Providing all data in appropriate quality for data-driven business models and optimal use of the data, while ensuring data protection and information security:

  • Define a data strategy (including Data Mesh)
  • Data Management Maturity Assessment
  • Derive target data management, including data architecture, data catalogs, etc.
  • Analysis & Identification of Areas for Action
  • Define measures for implementation
Manageable Data Management

Simple & effective: take the next step

Talk to us about the challenges you’re currently facing and find the right support for your project