When you hang around long enough in a profession, you pick up familiar nomenclature, general truths, and knowledge. Such is the case with data analysis. Anyone who has worked with data knows there are certain phrases you are bound to start echoing along the way. Today, according to the IDC info brief "The State of Data Science and Analytics,” there are approximately 54M data workers worldwide.
The truth is, depending on your approach to data prepping and blending, how you feel and what you say about your work may look and sound different than other analysts. Analysts stuck in outdated approaches are uttering different phrases than those adopting modern approaches. "7 Things Badass Analysts Say and Do" is all about what analysts using modern approaches have to say about their work.
If you're unsure what category you fall in, take a look at the five most common data challenge rumblings and grumblings we hear data analysts say when they are stuck deep in old methods. After all, knowing the problem is often the first step to solving it.
1. “If only my boss knew how long data prep really takes.”
If this sentiment resonates with you, you probably feel like data prep is where time goes to die. However, it's vital to get right. You know what happens when you spend time doing analysis, only to find out your data is suspect. That’s why most analysts spend the bulk of their time wrangling data, leaving little time for producing reports, let alone mining that data for insights.
2. “Data comes from everywhere; I wish it was easier to use all of it.”
Joining data shouldn’t be a marriage of inconvenience. After all, to arrive at a usable answer from cleansed data, you likely must join multiple sources of data, such as spreadsheets and databases that are formatted in a variety of ways — and we haven’t even talked about unstructured data like e-mail messages, word processing documents, videos, photos, audio files, presentations, and webpages. Most analysts truly desire to combine data from more sources. After all, the possibilities for insight are boundless when you can effectively use any data you need. Still, most are frustrated that it isn’t easier to bring data sources together.