Data visualization organizations are making buzz with visual portrayals that let you “see” your information and control it — rather than perusing columns of numbers.
Big data is a major plus: You can now gather, organize, and store unfathomably more data than ever.
Information about your clients, products, suppliers, sales, and finances — everything that influences your organization to run — can be measured, stored in one place, and analyzed.
But analyzed how?
When you have this data, how would you present it in a way that is not overwhelming? Many organizations are X-ing out of their spreadsheets and PowerPoint presentations and swinging rather to data visualization.
What Is Data Visualization?
It’s basically representing numbers in images, charts or maps, with the goal that viewers can see a pattern seamlessly.
Furthermore, in the event that they change a variable, the picture also changes instantly.
“People are drowning in data — on the Web, on spreadsheets, and in databases on tablets and devices,” says Elissa Fink, CMO of Tableau Software, a Seattle big data visualization company that went public in May.
“We try to help people by seeing it in real time and interacting with it.”
“The main way people can understand data is to picture it. That is the manner by which our mind works,” says Roman Stanek author and CEO of GoodData, another organization that renders data visualization services.
The organizations take information provided by client companies and make a visual “story” with color and design.
Some store the information themselves, others enable clients to store it on their servers in the event that they incline toward that.
In any case, the photos can be reached, shared, and manipulated by anybody the clients gives access to.
How is big data visualization so different from a PowerPoint chart?
The diagram is static, Fink says. If you take a gander at chart that shows sales are up in the west, you might need to know why.
“Guess what — the diagram didn’t consider making that inquiry, so you’re not going to know.”
Be that as it may, by interacting with the graph, you can click to include different factors and discover which products are offering more, which sales reps sold them, and which client segments bought them.
You can tap on a bar in a graph to extend it by time or by topography. You can ask and answer inquiries as you look, and share the outcomes in real-time with others.
Color Me Interested
Another huge advantage: Unlike numbers, colors quickly catch your attention and focus it where it’s required.
Fink ended up plainly sold on data visualization before she began working in that industry.
She was doing quality checking for a financial-services product, to decide if it was ready for release.
As she pored over spreadsheets, nothing was hopping out in the numbers to give her an answer.
So she visualized the information, and quickly saw one little region of red in an ocean of green.
“I knew the information ought to circulate more equitably than that. Beyond any doubt, we had a noteworthy issue with the red zone,” she said.
Andrew Lucyszyn, director of business intelligence and data analytics at SIGMA Marketing Insights, utilizes Tableau’s big data visualization to help his customers truly see how their advertising is getting along by consolidating information from an assortment of sources into a visual presentation.
For instance, for the construction hardware maker Ditch Witch, he consolidated organization sales and finance information with competitor sales information from an alternate database into a single map.
It gave the organization a visual understanding into how well it’s performing crosswise over various portions of their client base in different parts.
For the Henry Ford Museum in Dearborn, Michigan, he provided data visualization for the viability of an email marketing campaign.
A chart indicating return visits by the individuals who got the messages could be separated in various ways, including by life-stage—young families, older individuals, retirees—or location.
“It’s views they can manipulate in the browser, and split, subdivide or filter. It gives them a much better handle on how effectively they are doing their marketing,” Lucyszyn said.
He frequently teams up with customers in analyzing and manipulating the charts and maps in real-time.
“I’ll say, there’s a gap in this portion. Does it mean what we both think it implies? It’s significantly more viable than throwing a 75-page PowerPoint over a wall, at that point getting it bound and saved ’til the next Ice Age.”
In any case, despite everything he has a couple of customers who like to adhere to their spreadsheets.
“In any case, nine times out of ten, the most ideal approach to present information is in a data visualization approach.”
The Bottom Line
Big data gives business and companies more information than any other time in recent memory — yet it can overwhelm.
Data is powerful, yet just in the event that you comprehend it.
Big data visualization speaks to the human need to comprehend things visually.
It additionally gives organizations a chance to interact with their information and share it in real time.
It’s no big surprise more organizations are beginning to render big data visualization tools and services