Big Data—Implementation of Data Through the Enterprise System
Implementation is the final step in the big data integration and analytical approach. The organization needs to have data, but just not normal data, but integration-ready data. From where the data are stored in the DWs to formatting the data into the correct source, all data should be integrated into one area for the implementation process. The data should be accurate, clean, and updated. This is where real-time big data collection from social media, as discussed earlier in the course, is crucial. The data should also be connected through the big data platform or enterprise system.
The first step in the implementation process is to identify the customers and what information is needed to learn more about the customers and their current needs as well as what they will want in the future. Managers need to identify what they intend to do with the data while being open to the notion that the data will likely lead to new areas to study that they didn’t know needed to be studied or had rational correlations. This is one big benefit to big data! Often by undertaking the process, you find correlations you did not know existed. For example, retailers may find that candy bars and pencils are substitute goods by watching RFID tags and looking at how many consumers put down a candy bar to buy a pencil. Imagine the power in this knowledge and how far you can take this!
By building a profile of the customers, it is possible to understand what additional big data is needed in order to complete the customer profile and solve the problems of the organization. The data enterprise system should allow for fast and efficient lookups of the data that has been collected. Once the data are collected on the customers, the data will be placed in the data systems and the storage and analysis process will begin.
To build accurate models, the organization needs to have the updated systems that allow for complete analysis of the big data and for the information to become useful to the organization. A DW is often used for this process and allows for the data to be stored and retrieved when needed for the decision-making process. Now that you know what will be collected, let’s focus on the steps of the implementation process:
- Step One: Collect Data
- Step Two: Collate and Move the Data
- Step Three: Analyze the Data
- Step Four: Use the Big Data for the Decision-Making Process
The resources for this week will explore how big data is implemented into organizations. These article and chapter readings will prepare you to complete the assignment for this week.
Be sure to review this week’s resources carefully. You are expected to apply the information from these resources when you prepare your assignments.
