Be guided to where it comes
DeltaMaster is a comprehensive solution framework that enables an unparalleled degree of insight through a unique interactive business intelligence portal. The unique new approach compared to traditional BI tools is that users are actively guided to the relevant, interesting aspects in their data using a variety of statistical analysis and data mining methods.
Data mining with the need for an Advanced Statistics degree
As opposed to most data mining tools, DeltaMaster doesn’t require advanced knowledge of statistical methods by the users. Insights are presented using powerful visualisation methods that are supported by automatically generated comments that clearly explain the outcomes.
Performance Management, Sales Analysis, Web Controlling, Customer Segmentation, Budgeting, and a whole lot more
It covers all aspects of the analytics workflow from dashboards that utilise the latest information design visualisation, interactive ad hoc analysis supported by intelligent methods, efficient data collection for planning and forecasting, to enterprise wide report distribution on the web and mobile devices.
Data warehouse, Data Mart,SAP, Access, Excel, Flat files
DeltaMaster can investigate statistical, economic, and technical data of all kinds of background, from data warehouses or data marts, from SAP applications, Microsoft SQL Server cubes and relational databases, Excel files, or text files, and will investigate the data in precisely the level of detail required in each case.
Statistical, Economic And Data Mining Methods
The spectrum of procedures provided encompasses statistical, economic, and hypothesis-free ways of investigating data along the lines of recognition of data patterns (data mining). The system supports ad hoc analyses of burning questions just as well as regular reporting of lines of questioning that remain constant over time.
UNLIMITED use case scenarios
Our customers use DeltaMaster in many different areas: for financial controlling, cost accounting, sales and field work control, competition and market analyses, survey evaluation, production, quality and service control, logistics optimization, forecasting, planning and simulation of operational and technical figures, control of worldwide property portfolios, and analysis of technical processes.
Active guidance & BI libraries
DeltaMaster includes the following Intelligent methods to actively support the analysis process:
Ranking, PowerSearch: Rank comparison
When comparing ranks, we contrast and evaluate any number of objects with any number of other objects. Are they all the same – or is one bigger, smaller, better, or worse than the other?
Cross table analysis: Structure comparison
When comparing structures, you primarily want to see which individual components in which percentages comprise a given total. Frequently, you need to compare the structures of two or more totals (percentages of the brands X, Y, and Z for the regions North and South). A cross table analysis provides the options that you need to perform these and many other types of structural comparisons.
ABC analysis: Concentration comparison
The ABC analysis shows which objects are especially important for your business. You will discover if only a portion of your entire product line is driving revenues or if your success is evenly spread across your product line.
Time series analysis: Time series comparison
A time series analysis doesn’t focus on the size or the ranking of different objects, it rather focuses on their change over time – such as growth, stagnation, or decline over the course of weeks, months, or even years. Once you can view the development of several objects at the same time, however, you can also gain insights on absolute and relative sizes.
Trumpet curve: Target-actual comparison
If the performance over the past few months has consistently fallen below the targets, the chances are more and more unlikely that the initial annual goals can be achieved. The trumpet curve clearly shows when variances throughout the year amount into problems and which numbers can realistically be expected at the year’s end.
Portfolio analysis: Position comparison
A portfolio analysis recommends actions for certain objects based on their positioning in a four-field matrix. These fields typically result from the attributes “low” and “high” for an “internal” and “external” variable. The internal variable represents the capabilities and potential within the business itself while the external variable illustrates the attractiveness or environment of the market.
Geo analysis: Regional comparison
Regional comparisons provide insights with a spatial context. If you are facing questions such as “Where?”, “Where to?”, or “Where from?”, the geo analysis module will provide answers using analytical visualizations on electronic maps.
Distribution analysis: Frequency comparison
The distribution analysis shows how often certain objects appear in different, consecutive intervals. You can then use the most dominant class or take the mean, median, range, etc. to accurately describe the distribution of the values.
Regression analysis: Correlation comparison
The regression analysis shows if the correlation between two variables meets “normal” expectations. This module uses correlation coefficients to statistically check if these statements are true – for example, if higher revenues really lead to higher profits as well.
When comparing groups, you primarily want to see what characteristics apply to each individual one. The class comparison groups the given classes based on the characteristics that differentiate them the most. ABC class comparison provides additional support in forming the groups.
Top-down navigation: Causes of deviation
When variances occur in your targets or comparisons, you want to know why. How many areas are affected? Are the problems isolated? Are they localized in a certain region or caused by a combination of several related factors? The navigation module digs down to the underlying causes.
Comparator: Components comparison
The comparator automates a commonly used structural comparison. You simply enter two total objects – for example, total revenues and total profit – and the module analyzes all analysis dimensions to determine where the structures deviate from “normal” relationships.
Descriptor: Segment comparison
Descriptor automatically checks for differences in the way that a value is distributed for all possible segmentations of a data pool and displays any unusual findings.
Selector: Characteristics comparison
A typical task in sales, marketing, and customer loyalty campaigns is defining attributes that have a strong influence on a target value. The selector module automates the process of identifying these combinations of attributes within a pool of data.
Association analysis: Shopping cart comparison
The association analysis investigates if certain things occur in combination with each other. In addition to the classic question of which items are placed in a shopping cart, you can also use this module for many other tasks ranging from diagnostics to automobile or computer configurations.
Interdependency analysis: Connection comparison
The interdependency analysis automates the correlation comparison while adding non-metric variables. With the help of the respective measures, this module uncovers all existing connections across every possible combination of variables.
Dependency analysis: Dependencies comparison
Similar to the interdependency analysis, the dependency analysis automatically searches for dependencies in your data. In this case, however, it focuses its search on relationships to a single variable.
FAST START PROGRAMS
The Managility Fast Start program is a customised workshop leveraging our pre-built data architectures and models to help you experience the potential of effective Planning, Business Intelligence & Analytics processes in the quickest possible way. The program incorporates 1, 2 or 4 days with our experienced Consultants & Data Scientists