In telecommunications, the concept of Signal To Noise Ratio has been around for a long time. The basic concept is the signal (what you are trying to communicate) and the noise (all the crap that isn’t the signal) are related. The higher the ratio of signal to noise, the better. High ratio: more signal, less noise. Low ratio: less signal, more noise.
A high Signal To Noise ratio is a good thing. Thinking about the concept, not the math, if we have better signal and less noise, we have better communication.
This post is mainly about receiving communication. This includes talking to someone, email, texting, social media, etc. Some of this is obvious: if you are trying to listen to someone and there is a jackhammer going on five feet away, there is too much noise to hear. If someone texts you with a name you need and wraps it up in 2000 characters of opinions and other useless info, that is bad signal to noise.
But there are some non-obvious ways to look at it.
If you get a lot of unnecessary emails or texts, it will be harder to find those that you want to get. We can keep an eye out for message from people we want to hear from, but we will miss messages. The list of things to read (the list of conversations in your text messages, your email inbox) is something that has a signal to noise ratio.
If we have curated our social feed, we have lower noise and better signal..
Consider a few possibilities
- Email: be vicious in unsubscribing from things that you don’t actively need. Be proactive in managing your inbox.
- Social feeds: be aggressive at muting, blocking, unfollowing those that post noise (you get to define that). If you complain about Facebook or Twitter about how much stuff you have to scroll to see anything interesting, then you are following too many of the wrong accounts.
- Learn the controls available to you. Yes, it is a pain when Facebook, et al, keep changing their feed algorithms and add/remove settings. But learning them takes time. Yes, understanding Gmail’s tab structure and conversations seems overly complicated. However, spending a few minutes trying to figure out how to use them to your advantage will save you lots of time in the long run.
Curate your electronic life. It pays off quickly.
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We are flooded with data and we don’t understand most of it. While the below HBR tip of the day has specifics about communicating outside the company, I think that the basic concept — helping people understand the data — is a fundamental part of being a Business Analyst.
The standard mantra you hear is “too much data, not enough information” or “information is data made actionable”. These sayings are all getting at the fact that looking at data does not convey everything that we can learn from the data. Understand what is being looked at, understand the limitations of the data, understanding the assumptions in the data, understanding the cleanliness of the data. That is critical to having a business leverage the data they have.
But data can steer you wrong if you don’t know the information around the data.
When someone is looking at a report, is it easy to see the metadata? When someone looks at a spreadsheet or a PDF output of some sort, can they see where the data comes from and what assumptions are in place?
It is easy to simply slap a report out for the requester to get what they want. Too often, the requester and the report writer miss the fact that someone else is going to use this report six months from now and not have the same background the requester had. Or think differently from the requester.
So when writing reports or creating spreadsheets or otherwise presenting DATA that is meant to be understood, consider adding this information (automatically updated, of course) to them:
- metadata (date of data, all the parameters, specified and implied filter and sort parameters)
- Where did the data come from? Can you provide a link back to the original data for detail reports?
- What are the calculated fields and what are the calculations?
- Who is responsible for the data?
- Who do I talk to if I have questions?
- Do the field names make absolute sense to everyone looking at the report?
Here is another tip, this one is from Harvard Business Review:
|Help People Understand Your Data by Making It Relatable|
|People can’t use data to make decisions if they don’t understand what the numbers mean. To help colleagues wrap their heads around a data point — how big or tiny it is, how important it should seem — compare it with something concrete and relatable. When you’re talking about lengths of time, frame your data in terms of flights between cities, TV episodes, or how long it takes to microwave a bag of popcorn — whatever your audience will know. When you’re talking about size, use places and things that are familiar to listeners. For instance, if you were trying to show a San Francisco audience what 1 million users really looks like, you might mention the San Francisco Giants baseball field, which has 41,915 seats: “Our users would fill the stadium almost 24 times.” Articulating figures this way can keep the narrative from getting lost in the numbers.|
|This HBR tip is adapted from “3 Ways to Help People Understand What Your Data Means,” by Nancy Duarte|
As a developer, I was so tempted to put messages like this in the parts of the code that should never execute. I did a couple of times, although never this clever. I’m not up on the latest programming languages, but I imagine that it is still possible to have these places of despair. These ‘black holes’ of code where you should never go but if you do, you will never recover.Read More
An acquaintance of mine, who wants to stay anonymous for obvious reasons, provided me the data for the above chart. The data came from their last job hunting experience. While a successful job search — after all, they got offers — there is something very disturbing that I would like to point out.Read More
This article was published back in the June 2005 edition of Medical Product Outsourcing magazine. As the article title says, it covers how a company’s IT infrastructure can help with its medical device design process.
Geez that’s an old photo of me…sigh.Read More