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IT Products & Services Service Assurance with Predictive Analytics

Service assurance with predictive analytics

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Page 1: Service assurance with predictive analytics

IT Products & Services

Service Assurance with Predictive Analytics

Page 2: 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.

Page 3: Service assurance with predictive analytics

Challenge to IT Industry

Page 4: Service assurance with predictive analytics

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

Page 5: Service assurance with predictive analytics

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.

Page 6: Service assurance with predictive analytics

Our Solution Overview

Page 7: Service assurance with predictive analytics

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

Page 8: Service assurance with predictive analytics

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

Page 9: Service assurance with predictive analytics

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

Page 10: Service assurance with predictive analytics

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

Page 11: Service assurance with predictive analytics
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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

Page 13: Service assurance with predictive analytics

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