Has Big Data Become Bad Data?

November 9, 2015In Framework3 Minutes

Understanding user behavior in the digital environment is paramount to refining and optimizing a marketing strategy or new implementation. A business can make decisions based on a user’s true wants and needs through dialed-in analytics, delivering a more controlled and authentic experience. Equipped with these intelligent insights, the optimal technology can be implemented to achieve the ideal approach to a digital strategy.

Until recently, the most prevalent data used has been Big Data. Characterized by the output of Volume, Velocity, and Variety – Big is exactly what the name implies – a lot of information may not be entirely suited to a growing UX focus.

Is big data dead?

Due to the sheer size of the output, Big Data tends to be cumbersome and therefore requires much work in translating to become useful. For today’s demanding user, a business needs more than just the numbers to keep up. Unless the data provided is broken down or used properly – it is as good as useless.

For an organization to truly utilize big data, a system to disseminate the information must be put in place, led by questions to ask based on the needs of the company and its users. The data must then be funneled to the right people to be put into the implementations that will make a difference in the experience.

Turning big data into smart data and getting it to tell its story depends on two main parts – the data quality and the ability of a team to interpret it and build an intelligent strategy effectively. All this is a highly processed system that large corporations can take on with the resources and time to accomplish their goals – but by that time – the data will have most likely changed, requiring constant maintenance to get the desired result. Not an ideal process, to say the least.

What are the alternatives?

Indeed, the output of Big Data won’t go away. It’s simply the way that we approach it that will change. Many strategies exist to create a pathway to Smart Data.

For a niche product or market-specific strategy, Relevant Data leverages big data to dial into specifics rather than the entire universe of data that is out there. For quick action, an implementation that works in tandem to help Big Data is Fast Data. Fast Data is processing Big Data in real-time to gain instant awareness and take action as needed. Some of the most helpful data is seen as Actionable Data, taking information to the next step by providing insight into steps that can be acted upon based on the history and needs of the company.

There is really no one size fits all approach to data as it is constantly changing, and the shape of a company must flow with the market. Tapping into multiple data strategies to see what method truly works is critical for a company looking to expand its business.

Unleashing Creativity: Design Thinking Principles and Methods in Web Design and Branding

The world of intricacies necessary to complete UX/UI design exercises for web design calls for innovative solutions to address complex challenges. Design Thinking, a human-centered approach to problem-solving, offers a versatile toolkit to create…

The Role of Information Architecture in Web Design: Categories and Tags

Information architecture (IA) is a critical aspect of web design that focuses on organizing and structuring content in a clear and logical way. A well-designed IA enhances user experience, making it easy for visitors to find and navigate through…

Organizing Content with Vocabularies and Terms for an Effective Information Architecture

Drupal is an open-source content management system (CMS) used for creating and managing websites and web applications. It is a powerful and flexible platform known for its extensive functionality and scalability, making it suitable for building…