Download - CIS13: Big Data Analytics Vendor Perspective: Insights from the Bleeding Edge

BUSINESS CONSULTING FOR THE REAL-TIME ENTERPRISE

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STRATEGY. ANALYTICS. TECHNOLOGY.

ENABLING BIG DATA TRANSFORMATIONS FOR CONTINUOUS ADVANTAGE

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At the Crossroads: Big Data & Identity Management

Enabling The Next Generation of Business Apps

Balu Rajagopal [email protected]


Three Key Components Digital Business Model

Every Enterprise is Digital

Source: MIT Center For Digital Business


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


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 !


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


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


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


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


Enabling Data-Driven Decision Making The New Enterprise Apps Architecture


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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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