Statistics, data science and operations research enable businesses to manage customer data, analyze and plan marketing campaigns, increase the efficiency of manufacturing, selling or customer service and many others. In an ever changing world full of information technology, digitalization and artificial intelligence the need for an efficient data analysis and subsequent data-driven decision-making is rapidly growing.
While the traditional companies not utilizing the data-driven decision making might be fighting against companies with smarter decision making processes, better data collection and wiser data analysis, you might become the company utilizing the available data to grow firm and fast in whatever products or services you deliver.
What can we do?
We offer services specifically tailored to any business striving for better decisions based on deeper relationships in the source data. We are able to advise on what the ideal structure of data collected might be, but our main focus is the analytical process and the recommendation or delivering a data-driven decision straight away. Well defined tasks with lots of good data usually lead to a very good outcome, however we are used to work with not clearly defined targets and not well collected data. In such cases we always search for a method or derive a new method to best suit the project.
Our services include:
- Advanced statistical analysis of data and machine learning (e.g. for HR data about employee satisfaction, customer satisfaction research, production testing data etc.) and predictions
- Operations reseach and optimalization (using appropriate combination of statistics and mathematical modelling, heuristics, AI and much more)
- Consulting of the data-collection process and recommendations on how to improve the data collection process
- AI and ML predictions for appropriate categories of data
- and more, always tailored to your specific needs
What are the typical situations we consult:
- Decisions on targeting specific customers or segments based on the available data
- Analysis of the consumer behavior and their preferences based on the available data
- Forecasts based on the available data
- Resource planning and all the linear and non-linear optimalization tasks
- and much more
What we typically don’t do:
- Data collection, we evaluate your data collecting process and rely on that
- Dashboards, as descriptive and filtered statistics are only a very static marker, we go deeper and try to find trends, relationships between and among variables, and predict. We don’t offer general long-term solutions to describe you data, we focus on original and usually very difficult tasks
Our usual workspace are software solutions like R, Python or Matlab, for statistical analysis SPSS or Statgraphics.
What are the benefits?
- Instead of making a random or partly-informed decision, we enable you to make decisions based on the real data
- If the data collected are reliable enough, the effectiveness of our methods is far better than making a random decision (in hundreds or even thousands percent)
- You focus on what you know the best without the need to hire a full-time statistician/mathematician, we’ll do the job better, faster and save you money
- By making data-driven decisions you might save high multiples of what you spend on consulting
- You do not have to worry about your data, we know the value of data to your company and make any necessary steps to protect any data available to us
Advanced statistical predictions
Based on the data you already have we are able to use advanced statistics and where impossible to use statistics, we use AI and ML to search for trends and predict:
- Future demand and sales
- Future personnel needs
- Product storage needs and their logistics
- Consumer behavior (who might be on their way to leave you?)
- Risks
- many others…
Mathematical optimization
A discipline full of artistry, but bringing lots of savings when properly utilized. We are able to make decisions for you on behalf of your data:
- Which customers will more likely react to your offer?
- Targeting decisions in marketing
- Optimization of logistics and store design
- Optimization of product in store
- many others…
Categorization and classification
In case you have an enormous set of data and you need to categorize them into logical groups, we are here to help as well. We’ll categorize:
- Customer segments in your marketing data
- Rating of your customers (who is more valuable to your business?)
- Employees based on predefined criteria
- many others…