THE SECRETS OF Gegevens MINING FOR YOUR MARKETING STRATEGY

To enhance company gegevens stored te giant databases is one of the best known aims of gegevens mining. However, the potential of the mechanisms, methods and examples that fall within the definition of gegevens mining go far beyond plain gegevens enhancement. Ter this article wij concentrate on marketing and what you can do to promote your company or business, including online, through gegevens mining. Ter the list of Ten methods and practical examples, wij include resources and linksaf for more information so that everybody can learn more about this vast and evolving field. By exploiting the technologies and following the examples wij demonstrate you, you will be able to boost and refine your marketing strategy and stand out from the competition. Let’s get embarked!

1) CLUSTER ANALYSIS TO IDENTIFY SINGLE TARGET GROUPS

Cluster analysis enables identifying a given user group according to common features within a database. Thesis features can include age, geographic location, education level and so on. It is a gegevens mining technology that is useful te marketing to segment the database and, for example, send a promotion to the right target for that product or service (youthful people, mothers, pensioners, etc.). The variable combinations are endless and make cluster analysis more or less selective according to the search requirements.

Two) REGRESSION ANALYSIS TO MAKE MARKETING FORECASTS

To be able to tell the future is the desire of any marketing professional. So without having to resort to a crystal ball, wij have a gegevens mining mechanism te our regression analysis that enables us to investigate switches, habits, customer satisfaction levels and other factors linked to criteria such spil advertising campaign budget, or similar costs. When one of thesis criterion is switched you will have a pretty clear idea of what will toebijten to your user basin.

Trio) CLASSIFICATION ANALYSIS TO IDENTIFY SPAMS AND MORE BESIDES

How can you classify an email reply from a customer? And how can you recognize any linksaf inbetween potential customers for your products before and after running an advertising campaign? There is just one reaction: classification analysis, the gegevens mining mechanism that enables recognizing the patterns (recurring schemes) inwards a database. An effective solution to improve your marketing strategy vertoning, to delete any superfluous information and to create improved subarchives.

Four) ANOMALY DETECTION TO RECOGNIZE ANY ABNORMALITIES

Every day each business, large or puny, has to treat the consequences of any mistakes that are made by employees, suppliers or even customers. A plain mistake ter gegevens entry or product purchase is spil bothersome spil a stone te your shoe. Not life menacing, but very awkward. To eliminate any database inconsistencies or anomalies at source, a special gegevens mining mechanism is used called anomaly detection. Again, our software will treat the search spil it is programmed to perform elaborate operations ter databases containing up to thousands of records (addresses, names, etc.).

Five) INTRUSION DETECTION FOR GREATER SYSTEM SECURITY

Marketing and security are two aspects that may not seem related, but they go (or should go) forearm te arm. Imagine the disastrous effects of a DEM (Rechtstreeks email marketing) campaign conducted using a contaminated database. To avoid using databases infected by intruders (individual values added by hackers, or even viruses that duplicate the gegevens) it is sufficient to search for the intruders, a gegevens mining technology that decontaminates the database and ensures greater security for the entire system.

6) ASSOCIATION RULE LEARNING TO Detect Linksom Inbetween Gegevens

Association rule learning is used for all product sale activities, especially when large volumes are worried. Online using ecommerce or personally te a shop or mall, wij may have to create interesting relations inbetween the gegevens wij have available. Relations that you may not even have suspected or imagined. An example? 90% of customers who buy a product online then by another, and always the same one. Details that enable us to create pinpointed marketing proposals, special promotions and winning formulas.

7) DECISION TREES TO OPTIMIZE PROJECT RISK MANAGEMENT

Every time you make a decision you are facing a crossroads. When there are a lotsbestemming of options, the crossroads become a decision tree. Originally it may be confusing having to treat a decision tree, but if wij have the right rekentuig instrument that organizes the tree and submits definitive choices finish with costs/benefits, then it is a different story and the tree becomes a valuable contraption for Project Risk Management. Once again, the extent of the analysis mainly depends on the available technology: the more advanced the software the better your tree will indicate the best path to go after.

8) NEURAL NETWORKS TO AUTOMATE LEARNING

To complement clustering and decision trees is the neural network concept. It is one of the latest gegevens mining applications whereby the means you use for marketing operations, i.e. the pc managing your database, “learns” to identify a certain pattern containing elements with precise relationships with each other. The outcome of this learning is the recognition and storing of patterns that will be useful, perhaps not instantaneously, but te the future to determine whether and how to pursue a aim. The same neural network can also help to recognize the composition of the product or service target more precisely.

9) INDUCTION RULE FOR PREDICTIVE Gegevens BASED ANALYSIS

If a given circumstance occurs, then another and another again, wij have this result. That is basically how the induction rule works. Which is fairly something: with this gegevens mining mechanism you can process sophisticated predictive analyses inwards your database with thousands and thousands of records of order numbers. To be able to identify concealed recurrence means saving time and acting informed, something your competitors often leave behind how to do. Am I right?

Ten) Gegevens WAREHOUSING FOR BIG Gegevens PROCESSING

The last, essential gegevens mining mechanism, or should I say application, is gegevens warehousing. Wij are now ter the sphere of customer (and not only) profiling, especially regarding Big Gegevens processing. To choose software such spil Egon for your gegevens warehousing means simplifying your database, extracting the most interesting gegevens about your customers, simplifying the creation of detailed reports and much more besides. When you have to migrate programs and systems, being able to count on gegevens warehousing software is even more significant, not just for marketing but for the evolution of the business itself. Attempting is believing!

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