SAP HANA Hackathon Projects & Winners


1.Sentiment Analysis using Social Media Data

Team: Innovation Geeks

Problem Statement
To build the app for current sentiment of users on a sample brand based on social media data categorized by positive or negative sentiments by using Text Analysis.

Tech Stack
* Social Media Real Time Data Extraction (Using IFTTT)
* SAP HANA Cloud Platform
* SAP Business Objects Lumira

Datasource:
* Social Media Data ( Twitter )
* SAP HANA Cloud Database


2.Visual ScoreCard

Team:Masterminds

Problem Statement
Enhance Executive level Sales and Budget metrics and reporting instead of current spreadsheet like data. The proposed solution projects the Sales, Budget and Projected values available in HANA DB onto the BO Lumira in form of Visualizations. This has been termed as Visual Scorecard.

Tech Stack
* SAP BO Lumira 1.31,
* SAP HANA Cloud Platform
* Microsoft Excel

Datasource
* SAP HANA Cloud Database


3.Augmented Reality Selfie App

Team: Black Hawks

Problem Statement
Enhance brand engagement and mobile sales via AR app.

This AR Mobile Application gives delightful experience to customers where one can take a photograph with his favorite player/star by just scanning a logo and save the photograph. Application would suggest the products related to the player/star and it would suggest the nearest stores based up on the customer physical location. A Customer can win exiting coupons/discounts by answering the questionnaire, which can be redeemed in the nearest stores.

Features of the Product
* Take a Photograph with favorite star/player and save/share it.
* Locate the Stores when the product can be purchased.
* Win Coupons/Discounts to redeem in the nearest store.

Tech Stack
* Java v1.8
* SAP HANA Cloud Platform
* Wikitude SDK for AR development
* Android Studio

Datasource
* SAP HANA Cloud Platform


4.Mashup to enhance Sales forecasting

Team:Blue Birds

Problem Statement

Sales forecast based on past leagues performance and corresponding sales Business forecasting is essential for the survival for companies of all sizes. Business forecasting by its very nature uses historical data to forecast future performance of the company. Historical data includes company’s financial statements, client invoices and any information that has relative predictive value to the future success of company.

Our main aim of this app is to get the past sales data to predict the future sales. For this we have taken the past three years NFL league schedules from NFL web site and updated in the HANA data base. Then taken the sales during that periods and updated in the HANA data base. Team data has taken from corresponding material master product hierarchy. Finally using LUMIRA tool visualized the past sales data by year, by team to predict the forecast. Actually we can store this sales data in the info structure of SAP and run the forecast in the SAP to predict the future sales.

Tech Stack
* SAP LUMIRA
* SAP HANA Cloud Platform
* SAP HANA studio

Datasource
* SAP HANA Cloud Database
* NFL.com


5.IOT Product Tracking App

Team:IOTies

Problem Statement

The common problem with Ecommerce is visibility of product location during delivery process.

Hurdles in Tracking of Product.
* No availability of delivery status
* Loss of the product items
* Time delays

This app helps to overcome this issues in delivery and improve productivity  IoT will be the perfect design to fulfill gaps by tracking of orders to show the current status.
Tech Stack
* SAP HANA Cloud Platform
* IPhone iOS
* IoT Sensor Application
* SAP Fiori
* Java Script

Datasource
* SAP HANA Cloud Platform


6.Brand Analysis using Big Data

Team: Cloud Appiers

Problem Statement
Brand analysis of a typical company versus its competitors using social media data. The tweets of users on the brand to be analyzed and its competitors are gathered and analyzed using bar graphs in SAP Build tool. The app will help in analyzing the branding, prospect future customers , identifying the new markets for the growth of business, promoting new products , building new designs based on the customer tweets.

Tech Stack
* Twitter API
* SAP HANA Cloud Platform Console client
* Node JS
* SAP Fiori
* SAP Build

Datasource:
* Social Media Data ( Twitter )
* SAP Hana Cloud Database


Winners

Augmented Reality Selfie App

Team: Black Hawks

 

 

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