Final answer:
The difficulty in becoming a data-driven organization stems from the time-consuming nature of data management, difficulty in capturing qualitative data, limitations in data analysis, communication challenges, and the constraints of current technology. The Information Age has significantly increased the volume of data available, leading to information overload and the need for advanced data processing and management.
Step-by-step explanation:
Becoming a data-driven organization is challenging due to several factors. It can be time-consuming to collect and process large volumes of data. Moreover, data primarily captures how people behave but fails to convey what they think and believe, making qualitative data organization particularly tough. Analyzing this data can be difficult as well due to its complex nature. Communication of findings from such data often presents another hurdle, as does the limitation imposed by available software and hardware requirements.
In the Information Age, we are faced with information overload, where making informed decisions becomes more challenging. Historically, sources like the Farmer's Almanac provided sufficient information for decision-making, such as when farmers should plant or harvest crops. However, today's decisions rely on far more detailed and vast data streams, which can overwhelm and complicate decision-making processes. The Sloan Survey example illustrates this by detailing the enormous amounts of data captured for scientific analysis, which required Big Data technologies to manage efficiently.