During the past several years, Big Data has made headlines, entered boardrooms, and been prioritized by companies of all sizes in the hopes that their processes will present new opportunities for long-term success. In many cases, the programs will enable organizations to experience financial, operational, and managerial benefits much as squeezing juice from a handful of data-filled oranges will provide the much-needed drink for any thirsty business.
Still, executives can’t approach Big Data with the mindset that virtually any project will suffice. In fact, if firms take this route, they’ll often find themselves overburdened with complex information that doesn’t necessarily yield any advantages. IT and business decision-makers need to establish Big Data initiatives with their companies in mind because implementing a generic house-blend of products and strategies won’t respond to the unique challenges and demands faced by most organizations.
Although there are many important factors to prioritize when building a Big Data program, two in particular should be emphasized: Understanding the business and prioritizing quality over quantity.
Understand the business
If Big Data executives in large enterprises or small organizations don’t fully understand the needs of their specific companies, they’ll find it increasingly difficult to implement the tools, technologies, and processes necessary for employees to complete operations in a timely and efficient manner. Breaking down Big Data projects into smaller segments parsed out to multiple departments can help firms embrace more relevant information that augments key procedures.
Marketing, sales, and other decision-makers who intend to embrace Big Data must understand their core principles and needs if they want to ensure their endeavors are as effective as possible. If executives recognize the direction they want to travel, building an analytics program that caters to those specifications will be much easier, regardless of the volume of information those departments are responsible for managing.