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Release notes 7.0.3
Errors were corrected in several Connections to data sources, visualizers, Calculator, Coarse classes, Date and time components and also in the components included into Import, Data tree, Programming and...
Genetic algorithms as a mathematical apparatus
Genetic algorithms aim to solve optimization and modeling tasks by iterating, variation and combining target parameters with the help of mechanisms similar to biological evolution.
Release notes 7.0.2
There are many fixes in visualizers, import and export components in the new version. The errors occurred in Megaladata 7.0 were corrected. Support of multiline values import and parsing of dates in ISO...
Customer segmentation by loyalty or RFM analysis
Every entrepreneur in the process of business development is faced with the question: how to make his client more loyal and not let him go to a competitor.
Release notes 7.0.1
Errors in Megaladata Integrator, import from file sources, Replace node and operation of other handlers were corrected. Changes were introduced into BatchLauncher utilities operation. Performance of...
How to clean data before uploading it to a storage
When you create a data warehouse is not enough attention is paid to cleaning the incoming information into it. Apparently, it is believed that the larger the storage, the better. This is a surefire way to...
Detection and correction of one-dimensional outliers in data
Many analysts face the need to process outliers when it comes to data. Thankfully, Megaladata has a built-in component for quickly determining extreme values with the ability to automatically delete or...
Release notes 7.0.0
Many corrections were made in the components connected with databases and web services operation. Operation of some components was improved.
Building customers' loyalty
What is customer loyalty? Is it repeated purchases? Or an emotional connection that is manifested, for example, in the fact that the client recommends your company to their friends?