What are the best practices for businesses to start incorporating big data into their marketing strategy? what are the four best tools to use big data in their marketing strategy (you may use the 4 listed above if you want)? for each one of these tools, what are the benefits and drawbacks? where do these tools offer different advantages? where do these tools have weaknesses? what should a business look at when deciding to use these tools? what do you see as the next big movement, or next tool, for data mining? how can a company use any of these to stay ahead of the game? what are the biggest mistakes to avoid when trying to incorporate big data into a marketing strategy?

The chromosome manufacturing company produces two products, x and y. the company president, jean mutation, is concerned about the fierce competition in the market for product x. she notes that competitors are selling x for a price well below chromosome's price of $13.50. at the same time, she notes that competitors are pricing product y almost twice as high as chromosome's price of $12.50.ms. mutation has obtained the following data for a recent time period: product x product y number of units 11,000 3,000 direct materials cost per unit $3.23 $3.09 direct labor cost per unit $2.22 $2.10 direct labor hours 10,000 3,500 machine hours 2,100 1,800 inspection hours 80 100 purchase orders 10 30ms. mutation has learned that overhead costs are assigned to products on the basis of direct labor hours. the overhead costs for this time period consisted of the following items: overhead cost item amount inspection costs $16,200 purchasing costs 8,000 machine costs 49,000 total $73,200using direct labor hours to allocate overhead costs determine the gross margin per unit for product x. choose the best answer from the list below.a. $1.93b. $3.12c. $7.38d. $2.43e. $1.73using activity-based costing for overhead allocation, determine the gross margin per unit for product y. choose best answer from list below.a. $10.07b. ($2.27)c. ($5.23)d. ($7.02)e. $7.02