Tommy Greer

Everyone is looking at ways to make their spend management processes even more efficient. However, as companies amassed large amounts of data over the years, the challenges associated with categorizing data and making it meaningful have also grown. What type of framework do you need to create to overcome your data problem? Are there any tools that can talk to your current systems? Are there cultural or political hurdles you must first overcome? Can your data even be trusted? Do the codes align to real business functions? How much human analysis do you need to allocate to clean your data? Talk through the headaches you are facing to master your data.

Everyone is looking at ways to make their spend management processes even more efficient. However, as companies amassed large amounts of data over the years, the challenges associated with categorizing data and making it meaningful have also grown. What type of framework do you need to create to overcome your data problem? Are there any tools that can talk to your current systems? Are there cultural or political hurdles you must first overcome? Can your data even be trusted? Do the codes align to real business functions? How much human analysis do you need to allocate to clean your data? Talk through the headaches you are facing to master your data.

Everyone is looking at ways to make their spend management processes even more efficient. However, as companies amassed large amounts of data over the years, the challenges associated with categorizing data and making it meaningful have also grown. What type of framework do you need to create to overcome your data problem? Are there any tools that can talk to your current systems? Are there cultural or political hurdles you must first overcome? Can your data even be trusted? Do the codes align to real business functions? How much human analysis do you need to allocate to clean your data? Talk through the headaches you are facing to master your data.