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#Meta_Data: Making Data Standardization…Standard
That’s right, we’re setting the Standard for Data Standardization.
What does it mean? Why does it matter? Who *even* cares? To the layperson, “data standardization” is an instant snooze-button topic. But to those of us deep in the mines of cavernous raw data, data standardization is our life force — it is everything good; everything decent in the world. Data standardization helps us to make sense of complex trends, it helps us simplify powerful insights to our non-data-loving cohorts, it helps us survive (especially those of us entrenched in so-called “data-driven” orgs…).
Even the most robust organizations with leagues of minions and volumes of raw data have issues with data standardization, one of the many lessons we’ve learned working with storied global nonprofits and many of the world’s largest pharmaceutical companies.
Last edition, we mentioned that over 9 billion PDFs were generated in 2020 — many of them are immediately obsolete upon export. We also produced this case-study on unstructured vs. structured data in which we showcase how statewide COVID-19 reporting was essentially useless due to lack of data standardization across the board.
All of this amassed literary excellence is our attempt to paint one simple picture: data standardization can make or break how insights are gleaned from complex, raw data. And with varying sources, file types, collection methods, APIs galore coupled with differing fields, place names, filters, rows, columns, etc. — each playing a part in yielding incongruent datasets — its no wonder data standardization isn’t, well… standard.
That is, until Standard Data entered the scene. From collection to management to analysis to secure cold storage (and so, so much more), Standard Data helps organizations of all sizes do more with data to make better decisions, faster. We want data standardization to be every organization’s standard practice.
One of our most coined catchphrases around the Standard Co [virtual] watercooler is: “data is awesome, but managing data still sucks”. This is why we’ve dedicated our entire being into creating a data management platform that doesn’t suck; and one that makes managing data not suck. At all.
It all starts with data standardization: a feature that comes standard with Standard Data.
Alert: after scouring the entire damn internet, this is some of the coolest #dataviz we’ve unearthed. Ever.
Tee hee… unearthed.
But for real, take a peek at Cesium’s insane capabilities for 3D data mapping visualizations that are, shall we say, out of this world.
We’ve compiled the stories below for your perusal, intelligence-building, and overall enjoyment.
Abortion Rights: A Global Focus
This mapping project highlights the availability, access, and legality of abortions across the globe.
Pregnancy & COVID-19 Vaccination
Get the facts on the latest research [read: data] surrounding vaccine awareness, safety, and effectiveness among pregnant & nursing women.
The Importance of Great Graphics in Data
We say it all the time, data visualizations are essential to interpreting and conveying meaning in raw data, because not everyone is a data genius like yourself…
The Customer is Always Right, Right?!
Guess what: Voice of the Consumer matters — data-driven product development decisions not only create more engaged customers, such insights also help companies to stop making stuff that nobody wants.
Walk the Talk like Fidelity Investments
Fidelity wants to be the world’s most data-driven company because in finance, data matters. Wait, who are we kidding, when *doesn’t* data matter?!
And just like that, Standard Data is LIVE. Check out this brief product overview from the always entertaining TJ Muehleman — and let’s talk about your data management journey. We can help.
Who wouldn’t want one of these?!