Big Data Strategy of P&G: Turning Big data into big value Harvard Case Solution & Analysis

Big Data Strategy of P&G: Turning Big data into big value Case Study Help

Managing complexity

This is the most important thing to create the value of P&G. Effective analysis is possible when you will get users involved from different departments,which are performing different responsibilities. The complexity can be managed through the defined rules and these rules can be defined by following this method as when all the people related to the business, will know the business rules, it would be better for them to accomplish their tasks following those rules.

P&G is also getting information from different departments of the company, such as marketing, supply chain, HR and finance. The data of customers from multiple brand outlets effectively leveraged the big data of P&G. This is because the company used different innovation techniques based on data collected from different sources.

Business Rules

The value for the business could also be created by translating the rules of business and conducting applicable analysis across the departments. When the business rules are clearly defined to the employees and managementbased on objectives; the work is done accordingly. There should be proper communication and collaboration of the team with the management. P&G also defines its goals and objectives to its employees to achievethe common goals, helping the company to to create value for its customers.

Adjusting New Requirements

Big data analysis can be successful in creating business value when the company knows the requirementsof the business, market and the customers. This means the revision of the database and the information on changing trends of the market and its requirements. Doing this regularly is crucial for the performance of the business. The analysts will also understand the data through this step and can help the business to grow in rising demand. The analysts of P&G also think that the employees and management need education and training about the new trends and technologies and should make it a part of their daily life as because of this; the requirements of the market will be identified.

End Users

End users are always crucial for the company as they also create value for the business. It should be considered by the company that different users will use big data strategy in different ways. Accommodating with everyone is necessary for successful big data initiatives. This can also be done and repeated to follow the track of the project. P&G is also trying to create business value form these techniques.

  1. How to keep top management committed to big data at a time when company revenues are falling?

The company is facing several problems with big data. According to the top management of the company;digitization and analytics are helpful for the company to save billions of dollars. The experts thought “is doing big data right” and “is building tremendous organizational capabilities around big data. While P&G appears to have fully embraced big data, they perhaps uniquely benefited from a forward-thinking CEOandnearlyunlimitedcorporateresourcestobuildouttheorganizationalcapability.”

But there are some other experts in the company who are worried about analyzing the big data and the shortage of time. This processing can also damage the reputation of the company. Linda, CIO is also facing issues regardingin ensuring the balance between securities and leveraging big data. As the company’s revenues have also been decreasing frompast few years; it is hard for the company to keep the management committed with the firm and its big data strategy. Sales of the company were 83.7 billion in 2012 and then it they started declining. The company was also losing its market share in 2016.

The company is trying to remain connected to its customers and the market. The company also won the Oracle Cloud Platform Innovation Award in 2016 by using Oracle Platform and infrastructure as a service. This is the solution for P&G to develop a marketing strategy. Vice President of IT said, “We can conductanalysisandrespondtothedatamuchquickerthaneverbefore.”

When the company faced fluctuations; it developed an analytical software to forecast the best exchange rate,following the production and quantity procurement. These changes were adopted by the company to stay in the market so that it could keep the management committed with big data even after the company faces problems.......................................

 

This is just a sample partical work. Please place the order on the website to get your own originally done case solution.

Share This

SALE SALE

Save Up To

30%

IN ONLINE CASE STUDY

FOR FREE CASES AND PROJECTS INCLUDING EXCITING DEALS PLEASE REGISTER YOURSELF !!

Register now and save up to 30%.