Data is the new gold: over 80% of executives find data valuable to the overall success of their business. However, unabatedly growing data volumes are increasingly challenging companies to transform this flood of information into actionable results. A suitable data strategy helps companies to harness the value of their data and use it for data-driven decisions.
How can I turn data into usable knowledge? How do I use it for strategic decision-making? For a better customer approach? Or for clever marketing?
In the golden age of data, companies want to use their data to make informed business decisions, better understand customers, and develop new products or business models. Many companies also have plenty of data, but to transform it into actionable insights and tangible results, companies often lack the time, experience, or methodology to do so.
We support our customers in their business intelligence projects and transform raw data into valuable knowledge. With passion and subject matter expertise, our analysts combine information from different sources into consistent and comparable models. We systematically evaluate complex data and use a broad portfolio of modern analysis techniques to transform huge data volumes into targeted and actionable results.
Your questions and needs are the focus – we develop an individual data strategy and tailor the qualitative analyses to your needs.
Our vision is to make the essentials tangible for you in a flash. That’s why we also write concise summaries for all analyses and deliver results in eye-catching, easy-to-understand graphics.
What do customers order at midnight from the grocery delivery service? Do women make better investment decisions than men? Do Hamburgers love sneakers – but Berliners love pumps?
Many companies collect exciting data, e.g. on sales behaviour or customer enquiries, but do not know how to use this data sensibly for their marketing and public relations work without revealing strategically relevant details.
Our analysts know the important industry trends and understand how to turn data into in-demand topics.
With a skilful eye and appropriate analytical techniques, they combine your data into insights with an evidence-based “wow effect” that will be of burning interest to your customers, journalists and the general public.
Of course, we compile the data sets in such a way that we do not reveal any strategically relevant insights.
In the golden age of data, companies want to use their data to make informed business decisions, better understand customers, and develop new products or business models. Many companies also have plenty of data, but to transform it into actionable insights and tangible results, companies often lack the time, experience, or methodology to do so.
We support our customers in their business intelligence projects and transform raw data into valuable knowledge. With passion and subject matter expertise, our analysts combine information from different sources into consistent and comparable models. We systematically evaluate complex data and use a broad portfolio of modern analysis techniques to transform huge data volumes into targeted and actionable results.
Your questions and needs are the focus – we develop an individual data strategy and tailor the qualitative analyses to your needs.
Our vision is to make the essentials tangible for you in a flash. That’s why we also write concise summaries for all analyses and deliver results in eye-catching, easy-to-understand graphics.
What do customers order at midnight from the grocery delivery service? Do women make better investment decisions than men? Do Hamburgers love sneakers – but Berliners love pumps?
Many companies collect exciting data, e.g. on sales behaviour or customer enquiries, but do not know how to use this data sensibly for their marketing and public relations work without revealing strategically relevant details.
Our analysts know the important industry trends and understand how to turn data into in-demand topics.
With a skilful eye and appropriate analytical techniques, they combine your data into insights with an evidence-based “wow effect” that will be of burning interest to your customers, journalists and the general public.
Of course, we compile the data sets in such a way that we do not reveal any strategically relevant insights.
The most important prerequisite for a successful analysis is a valid database. In our first project phase, we therefore create a consistent data set from individual data points – often from different sources and systems. In order to optimize the quality of data, it is cleaned, categorized and transferred into a clear structure during consolidation.
The most important prerequisite for a successful analysis is a valid database. In our first project phase, we therefore create a consistent data set from individual data points – often from different sources and systems. In order to optimize the quality of data, it is cleaned, categorized and transferred into a clear structure during consolidation.
Our tools include multivariate procedures (e.g. factor, cluster and regression analyses), statistical modelling, distribution curves and macro-environmental analysis (e.g. PESTEL analysis).
In order to highlight the central drivers and significant correlations, our analysts select the appropriate analytical procedures for your specific question from the wide range of methods available. As a result, you receive data-supported insights and an understanding of the central relationships.
On the basis of the statistical results, our data experts carry out further analyses that are more qualitative in nature. In this phase, we examine whether there is actual causality or mere correlation in the previously identified relationships. We also validate the results via external factors and industry developments. We find explanatory patterns for the analysis findings and check the plausibility of the results. On the basis of this in-depth data analysis, our analysts finally derive concrete recommendations for action and practical decision-making foundations for you.
On the basis of the statistical results, our data experts carry out further analyses that are more qualitative in nature. In this phase, we examine whether there is actual causality or mere correlation in the previously identified relationships. We also validate the results via external factors and industry developments. We find explanatory patterns for the analysis findings and check the plausibility of the results. On the basis of this in-depth data analysis, our analysts finally derive concrete recommendations for action and practical decision-making foundations for you.
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