86d180e1f47afca9c6ec60c50d45365e.ppt
- Количество слайдов: 39
Bridging the Gap Between Technology and Research PMRS-Ottawa Breakfast October 9, 2002 Nancy Morrison, SPSS MR
Taking research to a new dimension • Evolution of Market Research • Dimensions Technology Platform • Objectives • Application & technology infrastructure • SPSS MR Data Model • Web Portals • Data Mining and Predictive Analytics
Evolution of Market Research The Dark Ages: Pre 1960 “Test the Air” The Revolution Begins… Focus Groups, Telephone Surveys 1970’s 1980’s CATI Systems Paper & pencil counts Batch tabulations Mass Marketing 1990’s PC’s & Charts Web Surveys Data Warehouses OLAP, Stats get easier!
Evolution of Marketing
Market Intelligence Today • More and More Market Surveys • Untapped Corporate Data Bases • Industrial and Market Globalization • Internet Driven Data • Increased pressure for profitability and ROI
State of the Industry • Targeted marketing • International-multiple language & multiple mode- projects • Advanced analytics • Marketing Information Portals • High-end, integrated data systems
An “operating system” for end-to-end Marketing Support Systems Tools for implementation of… • Next-generation, multi-mode data collection • Sampling & customer information management • Data management, processing and delivery • Business Intelligence applications Seamless integration across component applications
Dimensions & the SPSS MR Data Model Don’t be constrained by your software!
The vision of Dimensions But first, “Why? ” • Synthesis of collected product suites • Stop pushing the boulders up the hill • Platform, not just applications • Innovate or step aside
Dimensions application objectives • Easy to use • Feature rich & high quality • Customisable & extendable • Integrate with other data formats / software applications • Multilingual
Dimensions ideology • Open Standard and Extensible (SDK) • Scalable • Integrated • Global
The next dimension is here… • Interview in multiple modes • Free up your workflow • Work with data in any language • Create custom applications or interfaces • Differentiate yourselves from the competition • Maximize the value of research throughout the enterprise
Integrated, multimodal & end-to-end • Data is at the heart of both research operation and meaningful business decisions • Every aspect of the research process is covered • Execute surveys in multiple modes with central data capture and analysis
SPSS MR Online – ASP & online research services
Free up your work flow! • Modular & customizable system eliminates dictatorial step-by-step process flow • Feed & access central data source simultaneously • No constraints, no limitations
Open wide…! • Work with SPSS, competitor, proprietary and any other data formats • Advance research data throughout the enterprise • Extend the software to your specific needs
Technical strategy • Win 32 operating system • NT, Win 95/Win 98, Win 2000, XP, CE • MS COM components, . NET • Component Object Model • Browser-enabled applications • Where applicable
The products Publishing Smart. Viewer Web. App OLAP mr. Author Word. Parser mr. Datamgr Project Management mr. Tables mr. Translate Analysis Design SPSS Answer. Tree Clementine Etc… mr. Paper mr. Scan Verbastat mr. Interview - Web - CATI - CAPI - etc. Collection
Example: mr. Interview goes multimodal Interview engine XML Questionnaire Authoring Open Interface Data Scripting Web WAP Infopliance
SPSS MR Data Model The Center of Dimensions
The SPSS MR Data Model is not… • A data structure (i. e. ASCII, Binary, Database) • A data warehouse • A standard format • “Once you get it into the Data Model format…” The Data Model is much more powerful!
The SPSS MR Data Model is… • A data access methodology, providing access to: • Metadata • Casedata • An application integration layer • Allows different applications to communicate using the same framework • Extensible / Customizable
The SPSS MR Data Model is… Set of data and metadata API’s that enable • Survey authoring • Multimode data collection • Tabulation & predictive analytics • Publishing of results • Open import/export options • Freedom of workflow …in a market research environment
Moving to another level • Complete integration of disparate data sources • Open platform for centralized management of applications and global projects • Fully integrated component applications
Customized Software MR Applications Components SPSS MR Data Model MR Data
Robust component architecture • Encapsulation of functionality into modules allows for rigorous testing • Implementation details are visible only within the module, and can be safely changed
Extensible component architecture • Reduces complexity of application programs, making them easier to adapt • Autonomous (decentralized) modules increase the likelihood that a simple change will affect just one module or logical subsystem
Compatible component architecture • Improves compatibility between software systems, making it easier to combine and integrate systems • Applications are more portable
Web Portals Sharing Insights
Portals: insight, access Decisions, strategy, innovation Information gathering Corporate knowledge Knowledge activation
Portal platforms Structured environment for sharing information: • Across multiple platforms, applications and data sources • Among widely dispersed – and diverse – people and groups • Across company boundaries
Marketing information portals • Marketing context dashboards • Integration of multiple data sources • Interactive OLAP, analytics, graphics • Business planning environments • Analytical & planning templates, “cookbooks, ” training applications
Forecasting pp Customer loyalty programs A RM Portal Toolkit r rtviewe Sma mr Str s/ ble s Ta ble mr b. Ta We Decision support / EIS Th To irdols par ty mr. OLAP? We pt C Plugins to CRM systems Data mining & predictive modeling b. A da ea m Syndicated MR services Management summary reporting Marketing information portals
Data Mining and Predictive Analytics Using the present to understand the future
Why Data Mining? • Surveys collect market data • Transaction systems store the data • Tabulations and OLAP reports the data • Data mining enables people to change what they do based on the data Make better business decisions
Tabulations vs. Data Mining Tabulations Data mining • What is the profile of people likely to respond to future mailing? Which customers are likely to switch to the competition in the next six months. • • What was the response rate to our mailing? • • • Which 10 customers offer me the greatest profit potential? Which customers didn’t renew their policies last month? Who were my 10 best customers last month?
New Product Planning Customer Profiling Customer Segmentation Customer Value Customer Loyalty Customer Propensity Customer Satisfaction Ad Effectiveness Market Share Product Associations Performance ‘Forecasting’ Brand Awareness Data Mining Market Research Applications of Data Mining & Market Research
Be a part of the revolution • Constantly evolving • Made for researchers, by researchers • Revolutionary platform that puts you in the corporate playing field • An eye on the future Take control! Let Research Lead Technology!
86d180e1f47afca9c6ec60c50d45365e.ppt