In this age of digital transformations and the digital BA, data matters.
Without data there would be no big data, no data mining, no machine learning or predictive analytics. No AI. Nothing digital to transform. So yes, we have to focus on data. But what about poor process, once the king of projects, now often relegated to an afterthought? We commonly use to data improve processes. With better data, many cumbersome processes can be automated and improved beyond recognition. But process in and of itself still matters.
The importance of good processes was highlighted for us on a recent trip to Nepal and Bhutan. Getting into Nepal was beyond difficult and frustrating. To enter Nepal from the US you need a visa. Many countries require visas, and the processes to obtain those visas vary in the degree of difficulty. But Nepal was unique. We applied for the visa online, so they had our data. But there was no process for doing anything with that data. When we arrived, the fact that we had applied was irrelevant. We waited for nearly 2 hours in the same lines as everyone else. Once we got in, we really enjoyed our visit to Nepal. But the entry process was pretty awful. Bhutan, on the other hand, was a breeze. So here are 5 process lessons learned from this trip that apply universally.
As much as we’d like to jump in and make a process better, we need to understand the current way things are done. It sure would be tempting to send some business analysts to “fix” Nepal’s visa problem, but there’s way too much we don’t know about why things are done the way they are. We need to understand how process works, as well as workarounds, exceptions, and little tidbits that make the process better for the people doing the process, if not for the customers and the entire organization. We also need to be aware of the personal, practical, and political reasons things are done as they are. We suspect the immigration officers in Nepal were as tired of the long lines as we were. We suspect that they would have loved to double the number of agents and to have better automation. We have no idea of the constraints and pressures they felt, and without that understanding, the process cannot be improved.
But even the best of process maps doesn’t prepare us for all the exceptions. There are often unexpected forks in the path and choices that have to be made. It would be great to learn a process by reading existing documentation, but it may not be up-to-date. It probably won’t have all the exception paths. It certainly won’t have the workarounds that experienced staff know and love. If we rely on documentation alone, we might go astray. As helpful as our guide’s process map was, it did not prepare us for how we would react to altitude, for the numerous forks in the path, for how to share the path with horses, nor the hordes of hikers on the same hike.
When we finally joined the other path, the rest of our group was actually ahead of us. They had taken the longer, less difficult path and they were farther along. And were far less out of breath. There are times when shortcuts make sense. When we blindly follow processes just because “we have always done it this way,” we take a giant step towards bureaucracy. However, our shortcuts need to be well-conceived, and we need to understand the consequences of taking a shorter, less-known path. If that shortcut is tested and well-understood, we need to recommend that it replace the existing process.
By the way, everyone in our group made it to the top—and it took us about two hours less than our guide originally estimated. We have our wonderful guide Palee to thank–he was a great PM, BA, knowledgeable SME, and overall great guy.
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