Data warehouse optimization is considered the most important big data analytics use case, and is considered critical or very important by 70 percent of businesses.

2017

• 30 percent of businesses consider the Spark software framework critical to their big data analytics strategies.
• In the banking sector, investments in big data analytics were estimated at $20.8 billion in 2016.
• More than 150 zettabytes (150 trillion gigabytes) of data will need analysis by 2025.
• Data-driven organizations are 23 times more likely to acquire customers, six times as likely to retain customers, and 19 times as likely to be profitable as a result.
• 50 percent of businesses say data and analytics significantly impacted new entrants launching data and analytics businesses that undermine traditional competitors’ value propositions.
• Customer/social analysis is considered the second most important big data analytics use case, followed by predictive maintenance.
• Businesses that use big data saw a profit increase of 8–10 percent.
• Only 7% of marketers surveyed report that they are currently effectively able to deliver real-time, data-driven marketing engagements across both physical and digital touchpoints.
• 29 percent of investment professionals use search trends to derive data.
• Data warehouse optimization is considered the most important big data analytics use case, and is considered critical or very important by 70 percent of businesses.