PCBB’s Post

Private equity groups use data analytics to accelerate value, optimize use of internal resources, and reduce transaction risk. Our experts explore four use cases for investing in data analytics. Read here. #privateequity #dataanalytics #valuecreation

Private equity groups use data analytics to accelerate value, optimize use of internal resources, and reduce transaction risk. Our experts explore four use cases for investing in data analytics. Read here. #privateequity #dataanalytics #valuecreation

Private equity groups use data analytics to accelerate value, optimize use of internal resources, and reduce transaction risk. Our experts explore four use cases for investing in data analytics. Read here. #privateequity #dataanalytics #valuecreation

Private equity groups use data analytics to accelerate value, optimize use of internal resources, and reduce transaction risk. Our experts explore four use cases for investing in data analytics. Read here. #privateequity #dataanalytics #valuecreation

Private equity groups use data analytics to accelerate value, optimize use of internal resources, and reduce transaction risk. Our experts explore four use cases for investing in data analytics. Read here. #privateequity #dataanalytics #valuecreation

Private equity groups use data analytics to accelerate value, optimize use of internal resources, and reduce transaction risk. Our experts explore four use cases for investing in data analytics. Read here. #privateequity #dataanalytics #valuecreation

Private equity groups use data analytics to accelerate value, optimize use of internal resources, and reduce transaction risk. Our experts explore four use cases for investing in data analytics. Read here. #privateequity #dataanalytics #valuecreation

Private equity groups use data analytics to accelerate value, optimize use of internal resources, and reduce transaction risk. Our experts explore four use cases for investing in data analytics. Read here. #privateequity #dataanalytics #valuecreation

Data Quality can literally be the difference between life and death in some cases. Ariel Junqueira-DeGarcia, great article. I was reminded of some research we did a while ago to model and quantify the impact of poor data quality. We worked with the military to codify an approach that would work on the actual battlefield 😲 and then draw parallels to how the method could be applied to the business world. Quite fun and a nice blast from the past. Google Scholar link: https://lnkd.in/eGas2-Tk Excerpt from the abstract: “Recent years have seen tremendous advances in technology and communications. More data can be processed and transmitted faster than ever before. However, many users complain that information systems are still not capable of fulfilling their specific needs. Users such as Captain William Rogers of the Navy Aegis battle cruiser, Vincennes, consistently emphasize the role of information systems in accomplishing his mission [1]. During battle, he requires rapidly acquired, high-quality data that is tailored to his needs in the battlefield. In the military, clear, concise, and timely information can mean the difference between life and death. Similarly, survival in today's business world requires the ability to react rapidly to dynamic information about complex and changing environments. Consistent delivery of high quality information proves to be a challenging task. The problem is further exacerbated when multiple users with differing information needs depend on the same resource-limited system to provide relevant and timely information.” https://lnkd.in/eGas2-Tk

Private equity groups use data analytics to accelerate value, optimize use of internal resources, and reduce transaction risk. Our experts explore four use cases for investing in data analytics. Read here. #privateequity #dataanalytics #valuecreation