BIG DATA ANALYTICS

The amount of available internal and external data continues to increase. With suitable analyses, this flood of data can be used to optimize your business.

How do I generate valuable insights from my untapped “treasure trove” of data?

Our answer

In the course of the ever-advancing digitalization of business processes, the exchange with customers or production, huge amounts of data are generated. With the right analysis, valuable insights can be gained from this data, which can be used, for example, to optimize the customer approach.
We are happy to support you in tapping into your ‘data treasure trove’. In doing so, we combine a data and a business perspective with a high degree of solution orientation. Our service portfolio includes preprocessing and cleansing structured and unstructured data as well as enriching your data with additional data, e.g. from the extensive Statista database, via targeted data mining or from specific market research projects. In the context of a Big Data project, we continue to analyze, present and visualize the data.

  • Combination of data and business perspective
  • Coverage of the entire process from a single source
  • Use of exploratory, descriptive, and hypothesis-driven approaches
  • Comprehensive advice for the best use of your data

When analyzing large amounts of data, we use both explorative and descriptive methods as well as hypothesis-driven approaches. For classification tasks or the creation of forecasts based on the available data, we apply mathematical and statistical models and algorithms such as machine learning and artificial intelligence.
Big Data analysis brings great added value for a wide variety of application areas. We would be happy to advise you both on answering specific questions and on the explorative analysis of your data.

Your benefits
  • Generate valuable insights from your unused data
  • High solution orientation and concrete feasibility of project results through combination of data and business perspective
  • Provision of the required data science expertise by Statista Q
Our methodology

Pre-processing, cleansing and enrichment

In the first step, we prepare your structured and unstructured data for analysis and cleanse the data set. If necessary, we enrich the existing data, e.g. from the Statista dataset or via targeted data mining.

Pre-processing, cleansing and enrichment

In the first step, we prepare your structured and unstructured data for analysis and cleanse the data set. If necessary, we enrich the existing data, e.g. from the Statista dataset or via targeted data mining.

Analysis

For the analysis, we use explorative and descriptive methods as well as additional hypothesis-driven approaches. Our service portfolio also includes the implementation of mathematical and statistical models and algorithms such as machine learning.

Presentation and visualization

We use suitable visualizations to prepare the data. Our guideline is a high solution orientation and concrete feasibility of the project results.

Presentation and visualization

We use suitable visualizations to prepare the data. Our guideline is a high solution orientation and concrete feasibility of the project results.

Examples from previous projects