Big Data projects often fail because they are neither aligned with the strategic objectives nor adapted to the operational capabilities of a specific organization.
Industrial surveys report that 60% of Big Data projects fail to go beyond piloting and experimentation and are abandoned . Furthermore, less than 50% of lagging organizations have made cultural or business model adjustments that suffice to benefit from Big Data . In addition, it has been found that 90% of deployed data lakes end up being useless as they are overwhelmed with information assets captured for uncertain use cases .
Turn big data into value by aligning it with the business needs and operational capabilities of a specific organization. Business value, not data, is the key driver of Big Data.
Success requires both the right strategy and operational effectiveness.
Identify and close the gap between the potential benefits of available data and the ability to turn that data into business insight and value.