SAP HANA Predictive Analysis Library (PAL)

●
Overheads:
Uniform distribution and min and max values are listed in the following table.
● Capital Investment (for year 1 and year 2)
Gamma distribution and shape and scale values are listed in the following table.
Table 428:
Year 1 Year 2 Year 3 Year 4 Year 5
Product Revenue
Mean £0 £3,000 £8,000 £18,000 £30,000
Standard Deviation
0 300 800 1800 3000
Product Costs
Mean £1,000 £1,000 £2,500 £7,000 £10,000
Standard Deviation
75 75 187.5 525 750
Overheads
Min £1,400 £1,800 £2,200 £2,600 £3,000
Max £1,500 £2,200 £2,800 £3,400 £4,000
Capital Investment
Mean £10,000 £2,000
Standard Deviation
500 100
Run the Random Distribution Sampling algorithm for each variable and generate 1,000 sample sets. The
number of sample sets is a choice for the analysis. The larger the value then the more smooth the output
distribution and the closer it will be to a normal distribution.
SET SCHEMA DM_PAL;
-----------------------------------------
---Random sampling process---------------
-----------------------------------------
DROP TYPE PAL_DISTRRANDOM_DISTRPARAM_T;
CREATE TYPE PAL_DISTRRANDOM_DISTRPARAM_T AS TABLE( NAME VARCHAR(50), VAL
VARCHAR(50));
DROP TYPE PAL_DISTRRANDOM_RESULT_T;
CREATE TYPE PAL_DISTRRANDOM_RESULT_T AS TABLE(ID INTEGER, RANDOM DOUBLE);
DROP TYPE PAL_CONTROL_T;
CREATE TYPE PAL_CONTROL_T AS TABLE(NAME VARCHAR (50), INTARGS INTEGER,
DOUBLEARGS DOUBLE, STRINGARGS VARCHAR (100));
DROP TYPE PAL_CASHFLOW_T;
CREATE TYPE PAL_CASHFLOW_T AS TABLE(ID INTEGER, CASH DOUBLE);
DROP TABLE PDATA;
CREATE COLUMN TABLE PDATA("POSITION" INT, "SCHEMA_NAME" NVARCHAR(256),
"TYPE_NAME" NVARCHAR(256), "PARAMETER_TYPE" VARCHAR(7));
INSERT INTO PDATA VALUES (1, 'DM_PAL','PAL_DISTRRANDOM_DISTRPARAM_T', 'IN');
558 P U B L I C
SAP HANA Predictive Analysis Library (PAL)
End-to-End Scenarios