Smart data onboarding webinar oct 10 2013

©2013 Cambridge Semantics Inc. All rights reserved. Company Confidential.

Smart Data Integration

October 10th, 2013

Cambridge Semantics Contact:Marty LoughlinVice President, Financial ServicesCambridge Semantics141 Tremont St., 6th Floor, Boston, [email protected](o) 617.855.9565(m) 508.667.8334

http://www.cambridgesemantics.com/

mailto:[email protected]

©2013 Cambridge Semantics Inc. All rights reserved. Company Confidential. .

Agenda

Introduction to Cambridge Semantics

Enterprise Data Integration Challenges

Smart Data Integration Solution

Demonstration


Introduction to Cambridge Semantics (CSI)

Anzo, a software suite for Smart Enterprise Data Management & to build Unified Information Access (UIA) Solutions

Company: Founded by senior members of IBM’s Advanced Internet Technology Group

Software: Market leading Anzo software suite is built on open Semantic Web standards Currently 3rd generation of the product in production use

Business Intelligence / Analytics Solutions


Semantic Web Paradigm: Unifying Information based on common characteristics

RiskManagement

N

CI I

N

C

PortfolioManagement

Semantic models allow easy understanding of the data for faster & cheaper integration & analysis

Appl

icati

ons

Mid

dlew

are

Ente

rpris

eD

ata

Fabr

ic

Anzo Server

Reasoning& Rules Workflow Semantic

Services

Anzo Connect

Enterprise Directory Connect

Anzo Unstructured

Data Marts & Warehouses

EnterpriseApplications

Directory(LDAP, AD)

………

3rd Party Databases & Applications

Anzo Architecture & CapabilitiesEx

tern

al

Sour

ces


Enterprise Data Integration Challenges

On-boarding Data is Slow and Expensive– Often custom coded ETL– Expensive to create, update and maintain

Data Provenance is Difficult to Maintain– Data transformations tracked in spreadsheets– Provenance across systems poorly tracked

Data is Challenging to Consume for Business Users– Lack a conceptual model to easily consume the target data– E.g, “counterparty” vs “client” vs “fund manager

Difficult to Embrace Industry Standards– FIBO developed by EDM Council and OMG– Ability to handle changing regulatory standards


Anzo Smart Data Integration SolutionObjectives

• Reduce the Time & Effort for Customer On-boarding• Abstract the ETL process• Automate code generation• Streamline maintenance• Enhance data quality

• Track Data Provenance• Provide repository for data lineage across system boundaries• Create data governance audit and performance reports

• Provide a Business User Consumable Data Model • Support end-user self service analysis• Streamline report generation• Active meta-data


Smart Data Integration Components

AnalystDashboard

MappingApp & ETLCompiler

ConceptualModel

BusinessDashboard

• Friendly GUI for importing schemas and capturing and managing mappings and transformations

• Generates ETL job - Pentaho today, other ETL tools, stored procedures etc to follow

• Expresses data in industry standard business terms (FIBO)

• Model expands as new data is added

• Active meta-data – live data documentation

• Search, track and visualize provenance at data field level

• Full access to data through business-friendly conceptual model (FIBO)

• Customizable dashboards and visualizations

Company

Products

930,000,000

name

marketcap

acme.com

website

Legal Entity

Register Addres s

where

activity

Artificial Person

developing

IBM

Legal Name

Big Blue

Also knownas

Liabil ity

about

3/7/2012

Risk signals are …

when

note


Anzo Smart Data Mapping Process

Mapping Process Links Source Database Schemas to a Business Friendly Conceptual Model

Security (SMF)

Issuer

Market Data

IssuerOrganization

Security

EquitySecurity

Deal

CreditState

Ratings

RefEntity Credit Event

CreditEvent

• Expresses data in business terms in a conceptual model• Model expands as new data is added• Users can understand the data, conduct investigation, visualization, analytics & take action


Smart Data Integration Architecture

Anzo for Excel Mapping App

ETL Engine (e.g., Pentaho)

Source System

Analysts Dashboard

End UserDashboard App

ETL Instruction Compiler

MappingRegistry

ConceptualModel Registry

Schema/Sample DataRegistry

Data ConnectionRegistry

TargetSystem

Server


Future Roles and Capabilities

Define Requirements

Map Source to Target

Code ETL

Build Database

Develop Test Cases

DataIntegration

Lifecycle

Solution currently focused on mapping and ETL but roadmap includes upstream and downstream elements


Smart Data Integration Vision

Staging Server

C

Value-Add Solutions

Customer 360

ExistingInfrastruct-ure

SmartDataLayer

SmartDataSolutions

• Slow, costly manual coding• Limited understanding of the data• Provenance of field lost on

onboarding• Limited governance, tracking &

documentation

• Industry standard conceptual models

• Active meta-data • Deploy incrementally• Full data provenance

• Investigative Business user applications

• Sharable meta-dataAnalyticsSearch

Risk & Compliance

Today’s Challenges

Benefits

Additional Value


Smart Data Integration SolutionDemo


Benefits Summary

• Dramatically lower the time and cost to onboard new customer, vendor & third-party data sources

• Expose full enterprise-wide data provenance necessary for business and regulatory reporting

• Standardize and link data using industry data models and terms (FIBO)

• Put highly interactive, business friendly data consumption in the hands of business users


For More Information

www.cambridgesemantics.com@CamSemantics

[email protected](617) 855 9565

http://www.cambridgesemantics.com/



Smart data onboarding webinar oct 10 2013

Technology

Transcript of Smart data onboarding webinar oct 10 2013