GROUPR 5 TRIDENT CASE PRESENTATION

HIGH PERFORMANCE ANALYTICS USING

SAP HANALOS ANGELES GOVERNMENT SPENDING DATA SET FOR THREE

FINANCIAL YEARS

PROJECT TEAM

(GROUP - 5 TRIDENT): SMIT SHAH

SUMIT SAINISWAPNIL NAIR

OVERVIEW OF THE MODEL

•DATA VISUALIZATION

•SAP LUMIRA

•FORECASTING AND PREDICTION

•SAP PREDECTIVE AND EXPERT ANALYTICS

•DATA LOADING AND ANALYSIS

•SAP HANA

•DATA CLEANSING•MS EXCEL

LA GOVERNMENT FLOATED TENDERS

BASED ON REQUIREMENT(GOVERNMENT

ACTIVITY, DEPARTMENT, ITEM CODE, QUANTITY)

VENDORS SUBMITTED QUOTATIONS AND BID

FOR THE ORDERS(VENDOR NUMBER,

VENDOR NAME, CITY, UNIT PRICE)

GOVERNMENT PLACED ORDER ON THE LOWEST BIDDER VENDOR MEETING ALL THE REQUIREMENTS

(ORDER NUMBER, ORDER DATE)

GOVERNMENT BILLED THE TOTAL AMOUNT INCLUDING TAXES (DOLLAR AMOUNT,

SALES TAX, PAYMENT METHOD, VALUE OF

SPEND)

DATASET• There are two tables in our dataset• Table – 1 VENDOR MASTER

• This table consists of the vendor master data with all basic details about the vendor and the governments different departments. Some of the attributes are Vendor Name, Department Name, Account Name, Government Activity, Buyer Name, Supplier City, Vendor Number, etc.

• Table – 2 VENDOR TRANSACTION DATA• This table consists of the normal day to day transactional data for the vendor which includes attributes

such as Transaction Number, Value of Spend, Unit of Price, Unit of Measure, Invoice Number, Description etc.

• https://controllerdata.lacity.org/Purchasing/eCheckbook-Data/pggv-e4fn

VIEWS

• ATTRIBUTE VIEW • ANALYTIC VIEW

HYPOTHESIS

• Hypothesis 1 – The Government spending depends on the Vendor Name.

• Hypothesis 2 – It is difficult to determine the government spending pattern as per the fiscal year/month.

• Hypothesis 3 – The vendor supplier of the materials for the government spending should be as near as possible to Los Angeles.

THEOREMS• Theorem I - We can see that the money spent by the Government is the highest

for the Vendor ‘Haaker Equipment Co. for the fiscal year 2015.• Theorem II – We can see that the money spent by the Government is the lowest in

the Fiscal Month July- 2015 and highest in the Fiscal Month June-2015.• Theorem III - We can see that the quantity of material purchased is the highest

from the Vendor ‘Konica Minolta Business’.• Theorem IV – We can see that the value spent for the department ‘General

Services’ for the Government Activity ‘General Government’ is the highest overall.• Theorem V - We can see that highest percentage of Sales Tax is levied for the

Item Code Name ‘MISCELLANEOUS OR UNCLASSIFIED’ • Theorem VI – We can see that the quantity of materials supplied is the highest

from the city of Los Angeles itself from the United States

THEOREM 1THE MONEY SPENT BY THE GOVERNMENT IS THE HIGHEST FOR THE VENDOR

‘HAAKER EQUIPMENT CO. FOR THE FISCAL YEAR 2015.

THEOREM 2THE MONEY SPENT BY THE GOVERNMENT IS THE LOWEST IN THE FISCAL

MONTH JULY- 2015 AND HIGHEST IN THE FISCAL MONTH JUNE-2015

THEOREM 3THE QUANTITY OF MATERIAL PURCHASED IS THE HIGHEST FROM THE VENDOR ‘KONICA

MINOLTA BUSINESS’.

THEOREM 4THE VALUE SPENT FOR THE DEPARTMENT ‘GENERAL SERVICES’ FOR THE

GOVERNMENT ACTIVITY ‘GENERAL GOVERNMENT’ IS THE HIGHEST OVERALL

THEOREM 5HIGHEST PERCENTAGE OF SALES TAX IS LEVIED FOR THE ITEM CODE NAME

‘MISCELLANEOUS OR UNCLASSIFIED’

THEOREM 6THE QUANTITY OF MATERIALS SUPPLIED IS THE HIGHEST FROM THE CITY OF LOS

ANGELES ITSELF FROM THE UNITED STATES

SAP PREDICTIVE ANALYTICAL TOOL - MODELER

• We performed regression analysis and decision tree algorithm to build the model and predict the values. Our target value is value of spend. Target leakage was giving almost 100% KI and KR values.


• Predictive power KI is 94.07% i.e model predict the value of spending of LA Government based on input features 94.07% accurately.

• Prediction confidence KR is 99.72% i.e model can be reliably used to continue on the data set.


• Influence on target of input feature


• Maximum Variable contribution


• Regression Model


• Decision tree model

• Model simulation



• Model predicted values

SAP PREDICTIVE ANALYTICAL TOOL – EXPERT ANALYTICS

• We have performed auto regression analysis in expert analytics keeping value of spend as target variable.


• Feature selection


• Model Graph

RECOMMENDATIONS

• For LA Government –• They should promote placing order on local vendor to save

transportation charge and other state taxes.• They should plan their spending for the next fiscal year beforehand.• They should have collected few more data about quality of item

received, number of day vendor took to deliver, and government and vendor relationship behavior.

RECOMMENDATIONS

• For Vendors –• They should focus more on Government’s general services

requirement.• They should highlight their discount method and provide some offer.• They should maintain healthy relation with the Government and

supply goods with required quality on time.

TOOLS USED

• SAP HANA - This is used for data extraction and building views ie:- attribute view and analytical views.

• SAP LUMIRA- This is used for building Visualizations.

• SAP Predictive and Expert Analytical tools – This is used for predictive analysis based on the input features.

GROUPR 5 TRIDENT CASE PRESENTATION

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