Transformanz
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Transformanz provides research data through a subscription model, utilizing a content management system (Joomla) initially for static data since its establishment in 2008. To address scalability and efficiency issues in handling user growth and data, Transformanz redesigned its user experience and integrated an automated ETL process to enhance data management. The platform now allows users to access detailed data, perform analyses, and purchase insights via an improved online interface built on the Liferay portal system.
Transformanz
- 1. Transformanz Business Situation The research data is made available to the clientele of Transformanz through a Client Profile subscription model. Tranformanz used to deliver the content on the internet through a website that used a content management system called Joomla. The Established in 2008, data content and data visualizations were built manually and were static, which Tra n s f o r m a n z i s a n implied that more amount of attention needed to be paid to update information. independent business and This made the process long and tedious. Moreover, the application and process investment intelligence was not scalable in terms of handling the growth in number of users and data. c o m p a n y w i t h c u r re n t focus on Sub-Saharan Solution Approach Africa (SSA). Transformanz monitors, communicates Compassites solved the problem by designing the data model and automated ETL and connects SSA Frontier process to help Transformaz to tremendously reduce the time required to load Markets with businesses the data into the system. The entire user experience was redesigned to allow the and investors globally. It users to drill down to the required information and purchase the same using self provides information to its service payment module. It involved the following steps. clientele in the form of data pertaining to several Data collection and validation based on the different parameters that were crucial parameters in chosen to do a complete analysis for individual countries. order to help them take vital business decisions. Data management & research which would collate the data using ETL which Some of the data being implies that data is collected from an outside source, filtered for operational provided includes: use and finally loaded into the end target. In this step the ETL collector pushed macroeconomic data, the data into the data repository for further usage. financial markets, sectors & industries, public Online databases which would have a web interface with online platform and /private companies and community. This was built on the Liferay portal system infrastructure which c o m p a n y s p e c i fic produced the output as analytics. It also had features such as report information. generation, integrated portals and collaboration that was put up for usage through subscriptions and downloads. You can read more Reach out to us at Via email about Compassites at +91 - 80- 4203 2572 info@compassitesinc.com www.compassitesinc.com +91 - 80- 6500 2371
- 2. Technology Used J2EE, Liferay, MySQL and Google analytics API Benefits & Results The tool was built on Liferay to leverage its robust content management, flexible web publishing, collaboration and social features. It was deployed on the Amazon Web Server cloud to enable almost limitless on-demand capacity scaling thereby reducing the up-front capital infrastructure expenses. High availability and tolerance was ensured through deploying the cluster across availability zones and load balanced through elastic load balancers. Bangalore Center Pune Center "Gaayatthri Chambers", #948, 24th Main Rd,2nd Phase, 608 - Kapil Zenith Building, Near Chandani Chowk, J.P.Nagar, Bangalore - 560078 Karnataka, India Off Bangalore - Mumbai bypass, Bavdhan, Pune - 411021 Phone: +91 -80 42032572 Maharashtra, India Phone:+91-20-6500 2371