DATA ANALYISIS USING PENTAHO(Data Warehousing Concepts & Design)(CSL 327)

Mrs. Rita Chhikara Harshit Juneja(Mentor) (Student) 13CSU050TABLE OF CONTENTS

S. NO.TOPICPG. NO.

1.Introduction to Pentaho1

2.

Introduction to Pentaho:

Pentaho, a Hitachi Data Systems company, is a leading data integration and business analytics company with an enterprise-class, open source-based platform for diverse big data deployments. Pentahos unified data integration and analytics platform is comprehensive, completely embeddable and delivers governed data to power any analytics in any environment. Pentahos mission is to help organizations across multiple industries harness the value from all their data, including big data and IoT, enabling them to find new revenue streams, operate more efficiently, deliver outstanding service and minimize risk. Pentaho has over 15,000 product deployments and 1,500 commercial customers today including ABN-AMRO Clearing, EMC, Landmark Halliburton, Moody's, NASDAQ, Rich Relevance, and Staples. For more information visitwww.pentaho.com.Pentaho offers Pentaho Business Analytics, a suite ofopen sourceBusiness Intelligence(BI) products which providedata integration,OLAP services, reporting,data miningandETLcapabilities. Pentaho was founded in 2004 by five founders and is headquartered inOrlando, FL, USA.

Data set:

To begin with, I took the data for a super-mart sales which ships products directly to its customers. This data is imported from the worldwide web and is real.

Below are the attributes and their respective purpose from my excel dataset.

Row id: Special key for each row. Order id: Id provided for each order placed online. Order Date: Date of placing the order. Order Priority: Delivery priority of the order. 1. High2. Low3. Medium4. Not specified Order Quantity: Quantity of products orderd. Sales: Total amount that is paid by customer. Discount: Specific discounts on products. Shipment mode: 1. Regular air2. Delivery truck Profit: profit generated on each product. Shipping Cost: Delivery Charges. Customer name: name of the consumer. Province: Province of delivery Region: region of delivery Customer Segment: 1. Small Business2. Consumer3. Home office4. Corporate Product Category: various. Product Name: various. Product Container:1. Wrap bag2. Small box3. Jumbo drum4. Small wrap Product Base margin Ship Date: Actual date of delivery.

Analytical Report: