IBM SPSS Modeler
IBM SPSS Modeler is a predictive big data analytics platform. It offers predictive models and delivers to individuals, groups, systems and the enterprise. It has a range of advanced algorithms and analysis techniques. Features: Discover insights and solve problems faster by analyzing structured and unstructured data Use an intuitive interface for everyone to learn You can select from on-premises, cloud and hybrid deployment options Quickly choose the best performing algorithm based on model performanceGuru99
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- Insights-driven businesses are growing at an average of more than 30% each year, and by 2021, they are predicted to take $1.8 trillion annually from their less-informed peers.
- 50 percent of businesses say data and analytics significantly impacted new entrants launching data and analytics businesses that undermine traditional competitors’ value propositions.
- Businesses that use big data saw a profit increase of 8–10 percent.
- In the banking sector, investments in big data analytics were estimated at $20.8 billion in 2016.
- 90 percent of IT professionals plan to increase spending on BI tools.
- 79 percent of enterprise executives say that not embracing big data will cause companies to lose competitive position and risk extinction.
- 36 percent of investment professionals use web scraping to derive data.
- 40 percent of businesses say they need to manage unstructured data on a frequent basis.
- 53 percent of companies are adopting big data analytics
- 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.
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