service assurance with predictive analytics
DESCRIPTION
TRANSCRIPT
IT Products & Services
Service Assurance with Predictive Analytics
Business Challenge• According to Dunn & Bradstreet
– 59% of Fortune 500 companies experience a minimum of 1.6 hours of downtime per week.
– If an average Fortune 500 company has 10,000 employees, who are paid an average of $56 per hour, Including benefits ($40 per hour salary + $16 per hour in benefits).
– Just the labour component of downtime costs for such a company would be $896,000 weekly, which translates into more than $46 million per year.
Challenge to IT Industry
Impact Of Downtime• Planned administrative downtime• Component failures• Software defects or failures• Operator error or malicious users• System outages or maintenance• Local disaster• Regional disaster
Business Solution
• Real-time Analysis of IT service performance to proactively detect, investigate, and diagnose IT service performance issues in heterogeneous, virtualized and cloud environments.
Our Solution Overview
Unique Selling Proposition• Integrated Data Collection Engine that can collect data from
heterogeneous environments (On Premise, Cloud – with Services running on various HW and SW platforms).
• Cloudera Impala is used for real-time analytical data processing, which can scale up for peta bytes of data.
• Supported on top of SAP HANA and Oracle Exanalytics (InMemory DB) as well
• Appliance model delivery to eliminate any additional installation/setup costs
• Inbuilt visualization that support out of the box Dashboards as well as adhoc analytics visualization - accessible from Mobiles (iOS, Android, Windows Mobile)
• Integration with Help Desk System
ROI for Customers
Service Downtime in hrRevenueprodctivitydamanged reputionsOthers no of emplsTotal Loss AccuranceySavingsEmail 40 50 50 30 20 75 112500000 80% 90000000Web Server 50 50 40 25 15 75 56250000 80% 45000000Web Hosting 35 30 40 20 20 25 12000000 80% 9600000Database 40 75 50 40 20 100 300000000 80% 240000000Internet 40 20 20 20 10 100 8000000 80% 6400000data centres 50 40 30 30 25 50 45000000 80% 36000000networking products50 40 30 20 10 40 9600000 80% 7680000
Pricing Strategy
Avg loss per company
84,000.00 1
with 30% loss due to unplanned outage
25,200.00 10% savings due to our Product per hour
2,520.00
Avg unplanned downtime in hours 20
50,400.00 Price per license
Number of Services - Basic 10 5,04,000
1,00,800
0.1
Number of Services - Professional 50 25,20,000
5,04,000
0.5
Number of Services - Enterprise 100 50,40,000
10,08,000 1
Analytics Architecture• Data Collection – sources Logs, Audit Tables,
System Monitoring Tools, Services DB’s• Classification and pattern recognition
(NeuralNet) based on sequence of Alerts that caused Service Failure.
• Regression for forecasting possibility of Failures• Text Analytics based on Manually Created
Support Tickets
Product R&D Cost
ver 1.0 ver 2.0 ver 3.0
Hourly rate in $ 6 months 6 months 6 months
Product Manager 2 50 52,800.00 52,800.00 52,800.00
Architects 3 80 52,800.00 52,800.00 52,800.00
Developers 12 30 52,800.00 52,800.00 52,800.00
QA 5 25 52,800.00 52,800.00 52,800.00
Deployment - SWAT, Customer Education 5 30 52,800.00 52,800.00 52,800.00
2,64,000.00 2,64,000.00 2,64,000.00
Support 40000 40000
Presales and Marketing & Others 5,00,000.00 5,00,000.00 5,00,000.00
For Individuals: +91-9177585755 or 040-65743991
For Corporates: +91-9618483483
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This presentation may contain references to findings of various reports available in the public domain. INSOFE makes no representation as to their accuracy or that the
organization subscribes to those findings.
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