Roadmap, Requirements & Features by Giovanni Balestrieri/ Planning & Strategy John Jan Popovic

Planning Development: Whazzo
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1 Data harvesting / 90%+
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la maggioranza dei contenuti considerati di rilievo, come spettacoli e mostre principali, proviene dai sistemi di ticketing come TicketOne e VivaTicket.

• scraping
• chronojob spidering
• web scrapping and cron jobs.
The goal is to develop a script(s) capable of scrapping TicketOne and VivaTicket content efficiently and easy. Everything needs to be done automatically from admin backend.

Starting from a specific category of TicketOne and VivaTicket we need to scrap the following data and transfer them to an CSV / excel file, which can be consequentely *(semi)automatically imported into Whazzo Backend/CMS

- Event name and other parametres
- Multimedia link / embedding mashup

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2 Tracking & analitics / 10%+
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3 User Profiling / < 10%
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4 eCommerce B2B integration / > 70%
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ROADMAP
-key features selection & definition
-formal assignments breakdown with use and QA test cases upfront defined (budget, deadlines, bonus/penalties for each assignment)
-black spots / challenging features and difficult tasks
-Aplha1 - Tracking http://piwik.org/


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Data mining refers to the practice and process of deciphering and extracting patterns from data. It is commonly used with data warehousing. Data can be transformed into useful information using the techniques of data mining. It is widely used in profiling practices in marketing, surveillance and science.