a$.$ Explain TWO $(2)$ reasons why businesses are using Big Data for competitive advantage.

$[4$ Marks$]$

b$.$ Explain the following Big Data analysis techniques with application$($s$).$

i$.$ Data Mining

ii$.$ Machine learning

$[6$ Marks$]$

c$.$ BioH$2\_$Energy Sdn$.$ Bhd$.$ is specialized in the production and optimization of bio$-$hydrogen as a clean fuel alternative. TABLE Q$1$ shows a sample of the company data that has been collected.

TABLE Q$1$: Company Data

$\backslash$table$[[\backslash$table$[[$Production$],[$cost $($RM$)]],\backslash$table$[[$Price of raw$],[$materials $($RM$)]],\backslash$table$[[$Monthly$],[$income$]],\backslash$table$[[$Production$],[$Method$]],\backslash$table$[[$Promotion$],[$Type$]]],[2469,347,1,0,$Discount$],[2775,283,3,1,$Discount$],[3354,404,2,2,$Cashback$],[3179,362,3,2,$Cashback$],[2982,319,1,2,$Discount$],[3026,364,3,1,$None$],[3922,374,1,1,$Discount$],[3529,347,3,2,$None$]]$

Production Method $(0$: Electrolysis, $1$: Photo fermentation, $2$: Dark fermentation$)$; Monthly income $(1$: Low, $2$: Medium, $3$: High$)$

i$.$ Classify the subcategory of ONE $(1)$ quantitative and ONE $(1)$ qualitative variable presented in the dataset. Justify your answer.

$[4$ marks$]$

ii$.$ Identify a variable with no true zero. Justify your answer.

$[2$ marks$]$

iii. Describe how Predictive and Descriptive analytics can be used on the production cost variable.

$[4$ marks$]$