Explore Data & Analytics Statistics
- 79 percent of enterprise executives say that not embracing big data will cause companies to lose competitive position and risk extinction.
- Big data ranks 20th across 33 key technologies when businesses were asked their top technologies and initiatives strategic to business intelligence.
- 36 percent of investment professionals use web scraping to derive data.
- By 2025, the amount of the global datasphere subject to data analysis will grow by a factor of 50 to 5.2 zettabytes.
- 98 percent of sales representatives at construction companies that adopt analytics and geographic data reported dramatic decreases in their time frame for providing price quotes.
- 26 percent of businesses say data and analytics have significantly changed the nature of industry-wide competition.
- In a survey of approximately 700 business professionals, only 15% said their organization is currently very effective in delivering a relevant and reliable customer experience. In the same survey, only 3% of respondents said they are able to act on all of the customer data they collect; 21% say they can act on very little of it.
- By 2025, IDC predicts that the total amount of digital data created worldwide will rise to 163 zettabytes, ballooned by the growing number of devices and sensors
- 21 percent of investment professionals use web traffic to derive data.
- 73 percent of businesses consider Spark SQL critical to their analytics strategies as a big data access method.
Check Out Data & Analytics Tools
Recent Blogs on Data & Analytics
- Snowflake ELT vs. ETL
- Is Fast Healthcare Interoperability Resources (FHIR) the “Prescribed Burn” that Healthcare Data Needs?
- The Tableau Suite of Products
- Five ways Financial Services Can Benefit from Snowflake
- Artificial Intelligence (AI) Use Cases for the Retail Industry
- Gaining executive buy-in through Data Governance
- How to get started with Data Governance
- A 360-Degree Customer View: Personalizing the Consumer Journey
- Gender Equality in Technology: Come so Far, Got so Far to Go
- How Healthcare Payers can breakdown their Data Silos