DATA SCIENCE CONSULTING GIVE YOUR DATA MEANING

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1 DATA SCIENCE CONSULTING GIVE YOUR DATA MEANING

2 GIVE YOUR DATA MEANING: WITH DATA SCIENCE CONSULTING! Comma Data Science Consulting supports in optimizing business challenges with stateof-the-art methods from Advanced and Predictive Analytics, from Machine Learning up to Cognitive Computing. More than 25 years of experience in the business-oriented analyses, organization, and management of information and knowledge meet an interdisciplinary team of data scientists, analysts, business consultants paired with experts in Big Data technology as well as Data Security & Information Rights. The Comma Data Science Consultants will help you» in answering complex questions directed at your business,» at simultaneously detecting patterns and anomalies in your data,» with predictions in the context of Predictive Analytics.

3 DATA SCIENCE Data Science aims at gaining insights from data and combines methods from the areas of machine learning, statistic modeling, pattern recognition, and flexible usage of highly developed analytic algorithms. Data Science simplifies your path to truly data-driven decisions. Data Science is not only used in company management, but growingly in professional departments such as marketing, sales, human resources, or controlling. Depending on the requirements, modern processes and algorithms are used for the solution of questions, e.g. from areas such as classification, regression, dimension reduction, or time series analysis. Data Science Methods Depending on the area of application, the applied Data Science methods differ and can be roughly classified into: Data exploration with descriptive statistic and quantity comparison is applied e.g. in direct marketing, in customer loyalty, or sales forecasts. Compression includes data transformation, clustering of attributes, and cluster analyses. It is used in direct marketing, in customer loyalty, customer segmentation or the analysis of process efficiency. Modeling comprises of classification, association rules, and time series analyses, which are put to use in direct marketing, in customer loyalty programs, for customer segmentation, sales forecasts, or the analysis of process efficiency. Data Science solutions are recommended for questions such as: What is the expected damage amount of a new customer? Which customer segments drive sales changes? Which existing customers have the highest affinity for a new product? Which customer/market segments do exist? In which relation stand brands/models to each other? How can year-to-year variations of sales numbers be dissected into factors? With which regulations can the quality of production output be monitored and secured? Which products are bought together? Which event series lead to contract cancellations? Our Data Science Consultants are characterized by: Persuasion: understandable, clear, comprehensible, reproducible Transparency: explicit handling of data securities Interaction: professional thinking-ahead over the borders of Data Science W are looking forward to your questions!

4 DATA SCIENCE CONSULTING Observation analysis Correlation & Clustering Outlier Detection Association Analysis/ Testing of Hypotheses (Visual) Exploration Dimension Reduction Special Data Text Mining Detection patterns and contexts in data Finding similarities of objects (e.g. customers, damages, etc.) and subsequent grouping, revealing of connections Identification of unusual data sets: outliers, errors, changes, untypical behavior (e.g. damages, etc. Identification of contexts and dependencies in the data in form of rules such as from A and B results usually C Summarized presentation of the data set with possibly interactive elements, which allow a visual capturing of patterns and dependencies Component analysis (PCA etc.), also for time series (ICA, seasonal fluctuations) Special data (sources) Extraction of information from texts (Topic Extraction, etc.), grouping of texts, finding of relevant topics (e.g. in customer letters, claims, etc.) Prognosis & Predictive Analytics Classification (Linear) Regression Simulation Survival Analysis Statistical Modelling Prediction of the attributes of new data based on automatically deteced similarities with existing data So far not classified elements are assigned to existing classes (e.g. prediction of RS-affine customers by means of the training mass of former RS-customers) Identification of relationships between (several) dependent and independent variables (typical: regression lines, etc.) Parameterization of a (customer)specific model and implementation for the estimation of future attributes and model characteristics Comparison of a time period until the occurrence of an event, estimation of prognostic factors Modelling data/noise with statistical distribution, e.g. fitting distributions at histograms/point clouds, fitting temporal progressions Classification methods include e.g. Regression Decision Tree NaiveBayes K Nearest Neigbor Neural Networks Support Vector Machine

5 And which of your questions can our Data Science Consulting solve for you? Your benefit Data Science deploys analytic power in combination with special expert knowledge for the solution of a broad spectrum of customer questions. This includes: the wording of questions for data-driven decisions analyzing and interpreting data sources with regard to their information content the development of statistic robust and meaningful data models detecting unexpected data patterns and anomalies, which could be the starting point for new questions and analyses creating visualizations for a better understanding of data the presentation and communication of data insights in connection to professional customer knowledge and methodical know-how of the Comma Soft data scientists Thus, Data Science is an integrated part of competitive intelligence. With this additional data insight, not only important knowledge is gained, but also economical-driven company decisions are driven.

6 CREATING INNOVATION. WITH PASSION. Comma Soft AG, founded in 1989, belongs to the innovation leaders at the interface of IT and Business in Germany. With more than 135 employees, Comma Soft AG and its four business units Comma Management Consulting for Security, Data Science Consulting, INFONEA and Comma IT Consulting serves numerous companies with various DAX corporations amongst them. Pioneering In-Memory technology and current Big Data technologies designed to quickly process large data volumes, Comma Soft provides its customers with competitive advantages with new approaches for the digital transformation, innovative IT architecture and cutting-edge technologies such as the Data Science solution INFONEA and the implementation of new security standards. Comma Soft AG Puetzchens Chaussee a Bonn Germany Anja Hoffmann Phone Fax

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