Date post: | 10-May-2015 |
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BUSINESS CONSULTING FOR THE REAL-TIME ENTERPRISE
rightedge
STRATEGY. ANALYTICS. TECHNOLOGY.
ENABLING BIG DATA TRANSFORMATIONS FOR CONTINUOUS ADVANTAGE
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Additional Line 18 Point Verdana
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2 © Copyright 2013 Pivotal. All rights reserved.
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At the Crossroads: Big Data & Identity Management
Enabling The Next Generation of Business Apps
Balu Rajagopal [email protected]
‹#› © COPYRIGHT 2013 RIGHTEDGE. ALL RIGHTS RESERVED.
Three Key Components Digital Business Model
Every Enterprise is Digital
Source: MIT Center For Digital Business
‹#› © COPYRIGHT 2013 RIGHTEDGE. ALL RIGHTS RESERVED.
Three Key Components Digital Business Model
Every Enterprise is Digital
Source: MIT Center For Digital Business
‹#› © COPYRIGHT 2013 RIGHTEDGE. ALL RIGHTS RESERVED.
It’s a Big Data World
Chart based on IDC and UC Berkeley Data Growth Estimates, Source: IDC & CosmoBC.com: http://techblog.cosmobc.com/2011/08/26/data-storage-infographic/
Petabyte
PC Internet Time Mobile Mainframe
Terabyte
DATA VOLUME
Exabyte
Zettabyte
Machine
2011
Transactions
M 2 M
Interactions
2.0 Zettabytes in Enterprise Data
Business Apps
Patterns Information
Insights
Internet of Things Industrial Internet
U G C Social Networks
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Driven by Big Data The New Enterprise Model
① Every Business Is/Will be Driven by Data !
② No More Function Point Apps as we know it !
③ Data-Driven Decision Making has Arrived !
④ Agility is a Given !
⑤ Predictive Enterprise is Mandatory !
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Key Drivers Identity Management Innovation
① Everything on the Cloud (public, private, hybrid) !
② Information as a Service (economix) !
③ Timely Access to Data is Critical !
④ Dynamic Policy Management !
⑤ Analytics At the Core ! Graphic Source: Gartner
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Workflow Centric
Enabling Applications To Personalize Access To Data Identity Analytics at the Core
New
OLD Personalized
User Experience
Graphic Adapted From Gartner
SSO -> APPS
SSO -> DATA
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Enabling Context Driven Decision-Making Key Identity Analytics Requirements
1
2
3
Predictive analytics
Real time analytics
Root Cause/Investigative analytics
E.g.: Predict (User) Access to Data
E.g.: Personalize (User) Access to Data
E.g.: Access Grants/Rejects
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Big Data Driven Business Apps Emerging App Trends
① Separation of Data From App Logic
② Access Control to Data NOT APPS
③ Dynamic Feature Provisioning
④ Elastic Feature Level Scalability
⑤ Apps are Mashups Personalized by User Context
Authen
Authz
Access Share
Privacy SSO To
Data
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Enabling Data-Driven Decision Making The New Enterprise Apps Architecture
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Identity Capability Design Considerations Takeaways For Identity Management
① Apps are CONDUIT for Patterns, Information and Insights from DATA!
② Identity Enables INDIVIDUAL (Personalized) User Experience!
③ SECURE Anywhere Anytime Access to Data NOT APPS!
④ IDENTITY ANALYTICS is a core determinant for use of Big Data!
⑤ Dynamic IDENTITY POLICING based on Dynamic User Context !
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Start Transforming Your Business Now!
FREE CONSULTING OFFER Coming July 15th !
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Thank You!
Balu Rajagopal [email protected] Sign-up @
BUSINESS CONSULTING FOR THE REAL-TIME ENTERPRISE
rightedge
STRATEGY. ANALYTICS. TECHNOLOGY.
ENABLING BIG DATA TRANSFORMATIONS FOR CONTINUOUS ADVANTAGE
™
™
rightedge.com