We have data on 29 companies that use HP Service Health Analyzer. The companies using HP Service Health Analyzer are most often found in United States and in the Computer Software industry. HP Service Health Analyzer is most often used by companies with >10000 employees and >1000M dollars in revenue. Our data for HP Service Health Analyzer usage goes back as far as 6 years and 1 months.
|Company||Canadian Imperial Bank of Commerce|
|Company||Super Systems, Inc.|
|Company||AGILE DEFENSE, INC|
We use the best indexing techniques combined with advanced data science to monitor the market share of over 15,000 technology products, including IT Management Software. By scanning billions of public documents, we are able to collect deep insights on every company, with over 100 data fields per company at an average. In the IT Management Software category, HP Service Health Analyzer has a market share of about 0.1%. Other major and competing products in this category include:
HP Service Health Analyzer (SHA) is the first predictive analytics tool built on top of a real-time, dynamic service model to correlate metric abnormalities with topology. This correlation, along with advanced analytics and sophisticated algorithms, allows users to forecast problems and prioritize issues based on business impact. SHA also analyzes historical data to automatically create real thresholds, then combines hundreds of baseline breaches into one event with a list of the CI's involved. This enables users to take action before service is impaired.
Looking at HP Service Health Analyzer customers by industry, we find that Computer Software (24%) and Information Technology and Services (24%) are the largest segments.
59% of HP Service Health Analyzer customers are in United States and 7% are in India.
Of all the customers that are using HP Service Health Analyzer, 11% are small (<50 employees), 29% are medium-sized and 39% are large (>1000 employees).
Of all the customers that are using HP Service Health Analyzer, 32% are small (<$50M), 0% are medium-sized and 39% are large (>$1000M).