10 Tips To Building A Successful Big Data Brand

Richard K. Yu
Feb 6 · 5 min read

Successful big data brands offer actionable solutions.

The premise of big data is that the contemporary datasets of businesses have become so big that alternative methods outside of pure computation must be employed to interpret that information in a timely manner. Oracle, one of the leading technological companies, defines big data as describing a “…holistic information management strategy that includes and integrates many new types of data and data management alongside traditional data.”

In many cases, the elegance and effectiveness of big data solutions that your brand or firm can offer determines its success and reputation. In a globalizing and data-driven marketplace, unique big data branding will rely on convicting premises and striking results.

Educate Your Audience

Applications and services on phones are often fine-tuned to respond in the moment to customer actions, and big data has numerous benefits in how it can increase brand loyalty, predict consumer purchasing trends, or reveal product reliability. Giving your audience a brief rundown of what big data entails can help ease them into purchasing your service, and education based selling methods are often more effective than plain marketing.

Show How Your Brand Conceptualizes Big Data

Communicate and Frame the Problem of Big Data Effectively

Oracle employs this idea of framing the problem to show their expertise and preparedness incredibly well as they define several categories like business context, architecture vision, current state, governance, and more.

Then they ask a number of essential questions and suggest possible solutions in a chart to indicate the depth of their insight on the topic.

Differentiate Yourself From Other Brands

For instance, which area of Cloud-based solutions does your big data brand operate in (IaaS, PaaS, or SaaS) and what is its take on that solution that optimizes the delivery and puts it above other brands?

An article from the Harvard Business Review notes the increasing prevalence and success (80.7%) of big data solutions, meaning that competition between firms will inevitably skyrocket.

Rely on Powerful Visuals to Persuade

Appropriately, using visual methods to make judgments about vast quantities of data is a favored route in some big data solutions. Visuals provide both clarity and intelligence for the client.

Have a Clean User Interface

You are presenting your user with a program or system that will help them interpret massive amounts of data. If you can’t even manage the information on your site well, how can you expect your clients to trust you to accurately analyze and report on massive amounts of consumer data?

Website navigation and user interface are key aspects of product presentation that you cannot afford to skimp on.

Craft a Tech-Savvy Theme and Persona

A recent piece in the Harvard Business Review notes that your corporate culture should match your brand: “If your culture and your brand are driven by the same purpose and values and if you weave them together into a single guiding force for your company, you will win the competitive battle for customers and employees.”

Create a Sleek Flow and Perusable Presentation

Demonstrate the Results of Your Data Analytics Strategy

Dazzle them with the promise of unique features if they use your program or if they consult with your business on how to properly approach big data. Mouseflow is an example of a company that harnesses the power of this results-oriented strategy by immediately capturing the reader’s attention with the concept of a heatmap that monitors consumer behavior on a site.

Include Impactful Testimonials and Specific Information

Richard K. Yu

Written by

Vandy '17. Analysis, opinion, and commentary | Contrarian | use richard.k.yu@vanderbilt.edu or mention me to talk!