Press Contact
mayato GmbH
Am Borsigturm 9
D-13507 Berlin
Dr. Marcus Dill
Tel. +49 178 490.6727
marcus.dill@mayato.com
Stemmermann – Text & PR
Hinter dem Rathaus 1
D-23966 Wismar
Tanja Stemmermann
Tel. +49 3841 22 43 14
info@stemmermann-pr.de
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mayato in the press
Campaign Resonse Analysis
German CRM magazine CRM-Beratungsbrief reports in issue 09/11 about a mayato Case Study on campaign response analysis in Financial Services (p.7).
Data Mining Software 2011
IT Director reports about mayato study Data Mining Software 2011.
Business Intelligence is more than Reporting
Dr. Marcus Dill explains in Midrange-Magazin, how Business Intelligence can be used for much more than Reporting.
Campaign Management: Leading to intelligent CRM solutions
Dr. Marcus Dill describes in S@PPORT architectures for campaign management in complex system landscapes.
Data Mining for customer segmentation
Peter Neckel explains in IT Mittelstand Best Practices for analyses in Retail.
Data Mining in Retail Business
E3 reports about a data-mining project of mayato analysis expert Peter Neckel.
Study: Practical use of data-mining tools in Customer Relationship Analytics
isreport reports in detail about results of the mayato study Data Mining Software 2011.
CRM and Data Analysis: Results of the Data Mining Study 2011
Analyst Peter Neckel explains the key results of the recent mayato study Data Mining Software 2011 in German newspaper Computerwoche.
Cleaning up the Data Warehouse
In erpmanager.de mayato Experte Dr. Marcus Dill gives valuable hints for data management in a data warehouse.
Strategic BI approaches
In CRM Beratungsbrief 02/11, mayato BI expert Dr. Marcus Dill gives valuable advice for the introduction of BI initiatives and BI tools in enterprises.
Sustainable Data Warehousing
mayato partner Dr. Marcus Dill explains in the February issue of E3 the benefits of governance standards for aging data.
mayato Approach for Requirement Engineering
In its February issue, German maganzine E3 reports about mayato's approach Requirement Engineering for BI Applications.
Data Protection in Analysis of Social Bonds
mayato analyst Peter Gerngroß explains in German Computerwoche meaningful approaches in this highly topical.
BICC: Concentrated BI Wisdom
mayato partner Dr. Marcus Dill promotes in an article in ITDirector the synergies of coordinated BI initiatives.
Modern scoring relies on BI
In issue 6/2010 of the German banking magazine geldinstitute mayato analyst Dr. Marcus Dill describes the impact of Business Intelligence for scoring in risk and campaign management.
Durch Customer Relationship Analytics zur umfassenden Kundenorientierung - Potenziale bei Energieversorgern
In an article for the first issue of the Germany magazine VERTRIEBSFOKUS ENERGIE mayato Analyst Peter Neckel explains, how utilities can achieve competitive advantage by applying analytical methods in CRM.
Data Warehouse on Diet
Several German IT media (ITDirector, manage IT, S@PPORT, E3, BI Spektrum, and CRM Beratungsbrief) addressed recently the importance of Information Lifecycle Management for BI systems. Mayato partner Dr. Marcus Dill explains the cost and performance impact of aging data and proposes a variety of concrete measures.
Data analysis as reality check
Data analysis early in a BI project usually leads to the detection of gaps and errors in business requirements. Forgotten facts and workarounds will become obvious so that later "surprises" can be avoided. A professtional article in BI Spektrum by mayato analyst Dr. Marcus Dill explains how such an early data analysis leads to shorter and cheaper projects and to better quality.
Searching – and finding - the right frontend for SAP BW
Mayato experts Dr. Jörg Huss und Dr. Marcus Dill explain in their E3 article what enterprises have to take into account when selecting a new reporting frontend for SAP BW.
Social Network Analysis
ayato CRM expert Peter Gerngross describes in three articles in isreport, on crmmanager.de, and in CRM Beratungsbrief, how companies can analyze social networks in order to gain customer knowledge and potential revenues.
Intelligent Campaign Management
Mayato analyst Dr. Marcus Dill explains in an online article at sap.info how marketing campaigns are made smarter by combining CRM, BI and In-Memory Technology. A mayato add-on integrating SAP CRM, SAP BW and SAP’s TREX technology is introduced.
Getting through the jungle of data-mining applications
mayato's data-mining study 2010 explains the pros and cons of the most important tools in the data-mining market. mayato analyst Peter Neckel in an interview with Germany IT magazine manage it.
Scoring systems require better integration
In an article for InformationWeek, Dr. Michael Weck and Peter Gerngross describe challenges and solutions for future risk management.
Challenges of the BI industry
In a critical assessment, Computer Reseller News reviews the Business Intelligence market and describes challenges for BI software vendors. Interview partner: mayato partner Dr. Marcus Dill.
Social Networks in Direct Marketing
In an article for the German CRM magazine direkt marketing, mayato analyst Peter Gerngross explains the potentials of social networks for customer relationship management and describes ways to easily identify such networks.
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Business Intelligence Is Relatively Immune to Crisis
The online edition of isreport, the information platform for business applications, reports on the study conducted by the market research institute RAAD Research and the consultancy mayato on the potential of BI in 2009 (in German).
Business Intelligence Minimally Impacted by Cuts in IT Budgets
planung & analyse, , the special interest magazine for market research and marketing, has published an article (in German) about the study on the potential of BI in 2009 conducted by RAAD Research and mayato.
Data Mining Becomes More User-Friendly
In issue 03/09 (page 22-23), Informationweek picks up on mayato’s study "Data Mining Software 2009“.
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SAS Enterprise Miner Unrivaled in Data Mining
Online magazine „CRMmanager.de " and professional journal „Versicherungsbetriebe" report about mayato’s study "Data Mining Software 2009".
Press Review: mayato And RAAD Research Study „BI-Potentiale 2009“
Article computerzeitung.de: Studie: Business Intelligence leidet kaum unter der Krise
Article COMPUTERWOCHE: Business Intelligence trotzt der Krise
Article IT-Business: Business Intelligence bietet noch großes Potenzial
Article Portal der Wirtschaft: BI-Studie von mayato und RAAD Research
Article ERPmanager: BI-Studie von mayato und RAAD Research
Article Marketing Börse: Business-Intelligence-Potenziale in Deutschland
Article Business On: Business-Intelligence-Umfeld in Deutschland von der Krise weniger betroffen
The Software Is Doing the Job
Article about the usage of Data Mining in Direct-Marketing.In: CRM Beratungsbrief 04/09, S. 12-14
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The Software Is Doing the Job
Article about the potential of Self-Acting Data Mining in Customer Relationship Management. In: Direkt Marketing 12/08-01/09, pp. 34-36.
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Big Amounts of Data and Efficiency of Data Analysis Separate the Wheat from the Chaff.
Exclusive report about the main results of the study “Data Mining Software 2009”. In: is-report 11/2008, pp. 40-42
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Seeing the invisible
German IT magazine ITMittelstand reports about data-mining solutions for mid-size companies. Interview partner: mayato’s Dr. Marcus Dill.
http://www.itmittelstand.de/nc/startseite/detailansicht-brennpunkt/artikel/36/sehen-was-nicht-sichtbar-ist-1.html
mayato study at crmmanager.de
crmmanager.de shows interest in mayato’s data-mining study.
http://www.crmmanager.de/magazin/news_d2370_mayato_praesentiert_data-mining-studie_auf.html
Data Mining Software 2009: Acquisa reports about mayato study
Study compares Analytical CRM systems.
http://www.haufe.de/acquisa/newsDetails?newsID=1222158808.32&chorid=00560203
Best practices for data analysis: German IT magazine CIO reports about mayato study
Data Mining is complex, time consuming, only manageable by experts, and, hence, expensive. If done right, it can be different, though.
http://www.cio.de/knowledgecenter/bi/846241/index.html
Data Analysis with Autofocus: mayato publishes article in IS-report 11/2007
This article demonstrates concisely how the new analyses paradigm “Self-Acting Data Mining” can help to transform big data mountains into actionable business knowledge.



