I love data – let’s start your analytics journey together

Data Strategy

A data strategy is the backbone of every business intelligence or analytics project. Not being aligned with data will undoubtedly lead to inefficiencies, wasted time and resources, and never-ending projects.

Avoid these pitfalls, and let‘s start aligning your data future with your corporate strategy.

  • Evaluate and select the exemplary architecture & technology
  • Set up organization & functionalities
  • Think holistic: from insights to action

Data Warehousing

A certified data warehouse or lakehouse resembles a single point of truth on which to base decisions.

Most data estate projects that fail or run out of budget miss essential considerations. Either the transformation needed to consolidate data is underestimated, security concepts must be included, or future development is not anticipated.

Succeed from the start and reduce the time to get a result you can base decisions on.

  • Identify and align your business requirements
  • Connect to sources, extract, transform & load data
  • Ensure consistency of data and processes

Advanced Analytics

From descriptive to prescriptive analytics. You are constantly adding value and embracing the data your business is based on.

Without the proper use- & business cases, many companies are investing in projects and processes with no ROI.

Reduce the time to action and grasp from my experience of research projects developing different use cases and algorithms to predict and enhance the value of your data.

      • Artificial Intelligence & Machine Learning
      • Prediction of trends
      • Derive measures and act on results
      • Process automation

Visualization

Visualizing data is a crucial aspect when it comes to the distribution of results and making decisions.

Common errors include choosing wrong visualizations, displaying too much or too colorful data, or being subjective.

Don‘t miss out on the benefits of visualization standards

Benefit from my experience working in several industries with different visualization needs or creating visual standards for whole organizations!

  • Design and development of reports
  • Distribution of dynamic or paginated content
  • Visualization standards adapted to your needs

Training

Data culture is often missed when talking about data projects.

Avoid investing in solutions that are not adopted by the users that they should benefit from. Let your stakeholders embrace developing your data estate further.

Get the business users on board! Data is there to support the decision-making of business users. Data is not solely an IT topic. Data is there for your people.

  • Training of different tools and topics
  • Key-User and End-User training
  • Development of knowledge base and training material