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  • 7/26/2019 MIAP Brochure

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    Infrastructure

    Automation

    Platform

  • 7/26/2019 MIAP Brochure

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    Overview

    Todays digital enterprise demands an agile and programmable infrastructure, making

    the traditional responsibilities of providing continuous and reliable operations extremely

    complex. Businesses across the world are burdened with the fixed costs of maintaining

    their IT infrastructure. Despite spending large percentage of IT budget towardsmaintenance, infrastructure incidents and problems still occur causing system failures

    and downtime. In an age where continuous availability and reliable operations are a given,

    such incidents are very detrimental to the brand reputation of a business and has direct

    implications on the top line.

    Leveraging advancements in analytics and automation in the IT infrastructure world

    Traditionally, analytics has been associated strongly with passive data collection activities like reporting, performance

    monitoring and dashboards. This is called descriptiveanalytics, which mainly focuses on what happened in the

    past. But advanced analytics, based on data science principles and methodologies, goes much further. This is known

    as prescriptive analytics. It helps you tackle complex business challenges and provides benefits much beyond the

    scope of conventional analytical technologies.

    Infrastructure Services Analytics Maturity

    DESCRIPTIVE DIAGNOSTIC PREDICTIVE PRESCRIPTIVE

    What

    happened?

    Reporting and

    Monitoring

    When did ithappen?

    Defect

    Corrections

    When is it

    likely to

    happen?

    Predicting

    Device

    failure

    What should Idoabout it?

    Track and

    optimize

    maintenance

    Where most of the organizations are right now?

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    Storage

    (BUR)

    Servers

    (Phy/Virt)

    OS&

    Virtualization

    Network&

    Voice

    Databases

    Advanced analytics has been the fastest-growing segment (at 12.4% in 2014, source:http://www.gartner.com/

    document/3090420) in BI & analytics as organizations continue to move ahead in the analytics maturity curve from

    descriptive and diagnostic analytics into predictive and prescriptive analytics. Organizations can adopt advanced analytics

    in a number of ways, with different use cases calling for different analytic approaches.

    Service providers indicate they will continue to increase investment in automation and analytics. Research indicates that

    many leading providers are already enjoying significant improvements in the productivity and efficiency of FTEs

    for example, incidents managed per FTE.

    How Mphasis helps?

    Mphasis has conceptualized and developed an intelligent infrastructure automation platform running on prescriptive

    analytics that not just predicts but also delivers decisions. The solution combines prescriptive analytics with robotic

    process automation to provide automated solutions to all kinds of infrastructure incidents.

    IT Landscape

    Action Virtual fix Automation Objects

    Service Request

    IVR

    Logs

    Alerts

    Monitoring

    Predictive

    Analytics

    Reactive

    Service Desk

    InfraGraf

    Autonomics

    Virtual

    Engineer

    Machine

    Learning

    CMDB

    786

    Automa tion

    objects

    Datacenter -AutoPatch :Agent less pa tch

    deployment tool; 100%success rate on patching

    Datacenter - UDoctor :Database Self-healing

    Tool; up to 70% reductionin human effort

    Work Place Services -AutoMigrat e : Self install &

    migration tool kit

    SDP governance ITSM Dashboards, Reporting

    Our solution is a multi-layered framework with automation at the core of each component

    InfrGrafTM:A powerful machine learning and graph theory algorithms based tool predicts stand-alone as well as chain of

    events and incidents. These are related to system warnings, failures, outages, availability and sub-optimal performances.

    Automation engine:A self-managing computing model based tool diagnoses all the predictions, maps the corresponding

    resolutions and trigger them. The intelligent system constantly evolves to improve resolution time and reduce effort.

    Automation artifacts:A library of automated solutions, created from 4000 man months of R&D effort, facilitate

    intelligent self-healing, propel the autonomics engine and acts as the brains of the Virtual Engineer.

    Service Delivery Platform:A best-in-class service management platform connecting processes,

    tools and infrastructure provides overall governance to the solution.

    http://www.gartner.com/http://www.gartner.com/http://www.gartner.com/http://www.gartner.com/http://www.gartner.com/
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    VAS

    2/12/15

    LETTER

    SIZE

    BASIL

    3755

    Benefits over traditional approach

    Increased efficiency: Replaces system administrators with a smart machine; works 24/7, like a colleague on duty

    Knowledge-based automation: Implementation of complex machine learning and Artificial Intelligence techniques

    Evolving intelligence: The operational knowledge of the IT experts is captured in slim, modular and reusable knowledge

    items (KIs) which enable automated resolution of incidents

    Self-scalable: Knowledge items and decision tree evolve constantly based on usage

    Cost and Effort Saving:Automated incident resolution drastically reduces manual effort and drives cost savings

    Device health prediction Track device health and criticality to predict failures by establishing interdependencies

    Resource Optimization Intelligent view of the landscape allows for prioritization of work and optimal use of resources

    Preventive Maintenance Near-elimination of unplanned downtimes and system failures

    Use Cases

    The intelligent infrastructure platform generates accurate device data that is analyzed using a portfolio of data science

    tools and techniques. This results in enterprise insights that can help solve complex business problems and serve as

    critical decision-making inputs in areas like resource optimization, capacity management, preventive maintenance etc.

    The solution can hence be customized and applied to a host of use cases, depending on the data being analyzed.

    Some examples that affect most firms are given below:

    Service

    Contract

    Design

    Device health

    PredictionPreventive

    Maintenance

    Process

    Restructuring

    Capacity

    Management

    Incidence

    ManagementAutomation

    Resource

    Optimization

    Spare Part

    Management

    About MphasisMphasis is a global Technology Services and Solutions company specializing in the areas of Digital and Governance, Risk & Compliance. Our solution

    focus and superior human capital propels our partnership with large enterprise customers in their Digital Transformation journeys and with global

    financial institutions in the conception and execution of their Governance, Risk and Compliance Strategies. We focus on next generation technologies

    for differentiated solutions delivering optimized operations for clients.

    For more information, contact: [email protected]

    USA460 Park Avenue SouthSuite #1101

    New York, NY 10016, USATel.: +1 212 686 6655Fax: +1 212 683 1690

    USA226 Airport ParkwaySan Jose California,

    95110 USA

    UK

    Mphasis88 Wood StreetLondon EC2V 7RS, UKTel.: +44 20 8528 1000

    Fax: +44 20 8528 1001

    INDIABagmane World Technology CenterMarathahalli Outer Ring Road

    Doddanakundhi VillageMahadevapuraBangalore 560 048, India

    Tel.: +91 80 3352 5000Fax: +91 80 6695 9942

    www.mphasis.com Copyright Mphasis Corporation. All rights reserved.

    mailto:[email protected]:[email protected]://www.mphasis.com/http://www.mphasis.com/http://www.mphasis.com/http://www.mphasis.com/mailto:[email protected]