Datameer is applicable across a wide range of users and applications...
Datameer addresses analytic needs across a wide range of vertical markets, users and business domains that share one or more of the following characteristics:
- Have structured and unstructured data
- Frequently changing data requirements
- Analysis of highly granular data, not just summaries
- Fast integration of multiple data sources
- Cost effectively scale from terabytes to petabytes of data
The following Solution Briefs highlight several customer use case examples:
Retail: Competitive Pricing
To gain competitive advantage and increase sales, this major retail chain is using Datameer to analyze competitors online pricing, make rapid pricing decisions and test pricing hypothesis. Datameer also enables geographic data visualization for rapid decision making. Read more »
Telecommunications: Location Based Service Analytics
In order to better understand infrastructure performance, this leading telecommunications company uses Datameer on Hadoop to help identify performance trouble spots within their infrastructure as well as issues related to particular devices. Read more »
Internet Security: Threat Analytics
In to provide a superior level of service to their customers in a competitive market, this worldwide anti-malware provider uses Datameer to analyze malware and internet security threats. Read more »
Financial Services Research: Product Usage Analytics
To improve customer retention and engagement, this leading financial research firm uses Datameer to analyze customer product use and deliver product improvements. Read more »
Retail: Customer Behavior Analytics
To increase wallet share and drive more product category purchases, this leading U.S. department store chain used Datameer for Hadoop analytics to provide a 360-degree view of customer behavior. Read more »
Web Analytics
Understanding website visitor behavior requires a broad set of data and analytics. Driven by the need to paint a more complete picture of visitor interaction, increase conversion rates, and deliver a more personalized and relevant user experience, eCommerce teams require fine-grained clickstream analysis. Read more »
"Hadoop promises to become a ubiquitous framework for large scale business intelligence, but right now it is difficult for many developers to use. I see tremendous value in Datameer's approach - making Hadoop accessible to more users who need scalable analytic power for their organization's big data requirements."
Shawn Rogers,
Vice President Research, Business Intelligence, Enterprise Management Associates
