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meta360 enterprise data governance and metadata tool Copyright ©2016 Global Data Store LLC 9/8/2016 #gameChanger #simple #clean #ultrafast #visual #real360view #quickImplementation

meta360 - enterprise data governance and metadata management

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meta360enterprise data governance and metadata tool

Copyright ©2016 Global Data Store LLC9/8/2016

#gameChanger #simple #clean #ultrafast #visual #real360view #quickImplementation

Table of Contents

Copyright ©2016 Global Data Store LLC

Enterprise data architecture – challenges, issues, solution?

Crossing the chasm – authentic data management Use Cases

What is meta360?

meta360 differentiation

meta360 fundamentals

meta360 data governance approach

meta360 outcome illustration

Live DEMO

Enterprise Data Architecture – Challenges, Issues, Solution?Challenges : Many organizations lack the business

architecture

Business and technical architecture are not integrated

Business and technical users do not share the content and tools

Data governance and ownership is not established over critical information assets

Big data is not effective without effective metadata management

Issues: Inconsistent and ineffective use of critical

data assets across the organization. Some examples:

Regulatory reporting issues

Increased operational costs

Increased operational risk

Inability to leverage potential of data assets (big data/ data lake)

Solution: Establish 360 view of critical data assets

Allow collaboration between business and technical around the same content and tools

Establish enterprise wide data governance program to manage critical data assets

Business Architecture

TermGlossaries

Internal

Glossaries

External

Glossaries

Industry

Glossaries

Conceptual and

Logical Data

Models

Rules

Data Quality

Rules

Compliance

Business

Functions

Taxonomies

Transactional Data

Loans

Deposits

Securities

Reference and Master

Product

Customer

Ind. Classification

Big Data

Big Transactions

Social networks

M2M

Demographic

Feeds

Data Acquisition

Signal Processing

ETL/ELT

Change Data Capture

Messages

Data Lake / Hadoop Cluster

Analytic Sandbox

Model Validation

Risk Calculators

Finance Data Mart

Operational Data Stores

Risk Mart

CRM

Acq

uis

itio

n

Inte

grat

ion

Sto

re

Consumption

Technology Architecture

Crossing the Chasm – Authentic Data Management Use Cases

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People

•Identify key stakeholders

•Establish Data Governance Organization

•Obtain executive support

Process

•Assign roles and responsibilities and socialize data governance approach

•Establish enterprise wide Data Governance Program

Technology

•Select and implement technology tool(s) to support data governance program

Big Data Implementation

Pillars of effective Data Governance

Effective use of information potential of big data requires end-to-end traceability across the entire big data repository, and that includes business and data lineage. Business lineage refers to associations between business terms and its representations in organization’s technology environment. Data lineage refers to ability to trace data element from business report up to the ultimate source.

Regulatory Reporting and ComplianceHeavily regulated markets, like financial services, put implementation of data governance framework on top of data management priorities. Regulatory initiatives like BCBC 239, CCAR, AnaCredit are impossible to meet without having a robust metadata and data governance solution. For instance, the core component of AnaCreditimplementation is BIRD, The Banks' Integrated Reporting Dictionary (BIRD) is an initiative aimed to streamline the regulatory reporting process for European banks.

meta360 provides an effective and easy to implement 360 view of data assets including business and data lineage.

meta360 provides an effective and easy way to create regulatory reporting and compliance content in metadata repository and integrate that content with your organizations data assets. Moreover, meta360 contains free distribution of regulatory content, like for example BIRD(Banks’ Integrated Reporting Dictionary) that can be used for many European Union Initiatives,

like AnaCredit, SHS, MIR, and many others, as well as some US related content including FR Y 9C and FR Y 14 reports

Data Integration, Data Quality, Reference Data,…

Effective data management requires central point of integration, the “glue” that can make data management capabilities working together under the same framework. Metadata and data governance is that “glue” that can bring business and technical metadata together for effective use of information potential of an organization.

meta360 provides 360 view of data and is designed to be used equally by business and technology users

What is meta360?

Copyright ©2016 Global Data Store LLC

meta360 is an enterprise scale, the state-of-the-art data governance and metadata management tool which provides an easy way to collect and manage all relevant business and technical metadata from your enterprise data environment.

innovative, matured and proven approach for data management operationalization (big data, data governance, data quality, reference data, etc.)

industry agnostic, can be used in various industries (FSI, communications, life science, etc.)

easy to implement – up and running within 6 weeks, even for the large organizations

cloud based (Amazon Cloud) – significantly reduces operational costs

easy content contribution – CSV and JSON file import, manual entry (can be used as primary tool for particular concept types)

exceptional user experience - visually attractive and easy-to-use, multilanguage support. Responsive, works on all devices

predefined content for AnaCredit, BCBS 239 and CCAR regulatory frameworks

Key Features:

meta360 is designed and built by top level consultants who deliver strategic consulting engagements to global financial services organizations.

Superb Technology

MongoDB is the leading NoSQL database, empowering businesses to be more agile and scalable.

Express is a minimal and flexible node.js web application framework, providing a robust set of features for building single and multi-page, and hybrid web applications.

AngularJS lets you extend HTML vocabulary for your application. The resulting environment is extraordinarily expressive, readable, and quick to develop.

Node.js is a platform built on Chrome's JavaScript runtime for easily building fast, scalable network applications.

meta360 is built and powered by new trending technology - MEAN stack. MEAN stands for:

meta360 is deployed on Amazon Web Service Cloud which provides scalability and performance, but also significantly lower infrastructure costs. AWS data center and network architecture are built to meet the requirements of the most security-sensitive organizations.

meta360 differentiation

Copyright ©2016 Global Data Store LLC

There are 4 clear differentiators of meta360

Easy to useEasy to

implement

Real 360 view of data

assets

Outstanding Performance

meta360 design provides exceptional user experience for both, business and technical users.

easy content contribution and bulk import. Even in complex environments meta360 can be up and running within less then 6 weeks.

meta360 provides an innovative way to bring business and technology data together.

Built in latest and greatest technologies (MEAN stack) meta360 is incredibly FAST, secure, scalable and reliable.

meta360 Fundamentals

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Concept and Relationship (1/2)

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Two most fundamental concepts in meta360 are Concept and Relationship.

Concept

Concept is an abstract or generic idea generalized from particular instances. meta360 concept has following attributes: name. definition, type, namespace, flag for criticality and properties (depends on concept type).

Concept Examples

meta360 Concept Types (*):

Glossary Term TaxonomyBusiness Function

Report Report Section

Report Position

Logical data model

ldmEntity ldmAttribute

Database dbTable dbColumn Data Flow

(meta360)Namespace

User User GroupOrganization

Name Asset

Type Term

Definition An economic resource that is expected to be of benefit in the future. Probable future economic benefits obtained as a result of past transactions or events. Anything of value to which the firm has a legal claim. Any owned tangible or intangible object having economic value useful to the owner.

Namespace Glossary of Finance Terms

Critical YES

Name Glossary of Finance Terms

Type Glossary

Definition Contains terms from Finance and Accounting business domain

Namespace Finance Namespace (namespace)

Critical YES

Name Product Type

Type ldmEntity

Definition Product Type classifies a product based upon its inherent characteristics, structure, and the market needs it addresses.

Namespace Product Fundamentals (Logical data model)

Critical YES

(*) Note: concept list can be tailored and extended for specific implementations

BusinessTechnology(logical model)

Technology(physical data) Governance

1

Rule

Application

Technology(apps)

2

3

Concept and Relationship (2/2)

Copyright ©2016 Global Data Store LLC

Two most fundamental concepts in meta360 are Concept and Relationship.

Relationship

Relationship refers to any kind of association between two concepts.

Important considerations: Relationship between two concepts is also called assertion or

ontology triple. Ontology triple consist of subject concept, object concept and

association between them. Associations are represented as verbs. Once you establish relationship between two concepts you can

read it eater way, buy using verb or its opposite.

GlossaryTermbelongs

contains

ObjectConcept

SubjectConcept

Association(verb)

Opposite

meta360 Supported Verbs (*):

(*) Note: verb list can be tailored and extended for specific requirements

Relationship Examples

verb opposite

is associated with is associated with

is a kind of has a subtype

belongs to contains

is a source for is a target for

is a child of has child

is an owner of has owner

is a member of has member

is a subscriber of has subscriber

is a predecessor of has predecessor

is a successor of has successor

Asset (term) belongs Glossary of Finance Terms (glossary)

Glossary of Finance Terms (glossary)

Finance Namespace (meta360 namespace)

belongs

Total Asset (report position)

FRY 9C(report)

belongs

Asset (term) is associated withTotal Asset (report position)

Total Asset (report position)

Col3123(dbColumn)

is a source for

1

2

3

4

5

Automatically created from input files

Manually created by users

Content Organization

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Concept NamespaceIn meta360 world, concepts are stored in containers named namespaces.

Important considerations: Each concept type has his own container type where can be stored (e.g. terms can be

stored only in glossaries, dbcolumns can be stored only in dbTables, etc.). The basic rule is that within the single namespace, the concept name must be unique. meta360 namespaces are top level containers and they have no namespace

associated . Namespaces cannot be nested. Global Namespace is default meta360 namespace that contains users and user groups

and should not be used for other content. NamespaceURL represents full namespace path from the model root to the particular

concept. For example, the namespace for Asset term will be [Finance Namespace.[Glossary of Finance Terms]

Concept Namespace

term glossary

glossary meta360 namespace

taxonomy meta360 namespace

report meta360 namespace

report section report

report position report section

rule meta360 namespace

logical data model meta360 namespace

ldm entity logical data model

ldm attribute ldm entity

application meta360 namespace

database meta360 namespace

db table database

db column db table

data flow meta360 namespace

organization meta360 namespace

user meta360 namespace (Global Namespace)

user group meta360 namespace(Global Namespace)

meta360 concepts and their namespaces (containers):

Finance Namespace (meta360 namespace)

Glossary of Finance Terms

Asset

Data Governance Approach – Just simple as it is…

Copyright ©2016 Global Data Store LLC

meta360 provides innovative “easy-to-implement” data governance approach.

Guiding principles: meta360 has two types of users: standard and admin Standard user can do the following changes:

direct changes for any content that owns change request for content that does not own

Admin user can make direct changes to any content Each user can be assigned to one or many users groups Each concept can be own by one or many users/user groups Concept owners (users or members of user groups) are notified about each of change requests from non-owners. Any user that has ownership assigned to the concept can approve change request related to that particular concept. Change request for concept relationships must be approved by owners of both concepts that participate in the particular relationship

meta360 data governance process Illustration

standard (non-owner)

Term

standard (owner)

admin

Glossary

standard (owner) standard (non-owner)

admin

belongsrequest requestchange

change

change

change

We strongly recommend to assign ownership over the concepts to User Groups rather then to particular user. On that way you can easily assign new owner to multiple concepts by adding user to the user group.

meta360 - The Outcome Illustration - Visualization

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Concept Relationship Diagram Data Flow DiagramTaxonomy Tree Diagram

ER/Database Diagram

meta360 provides “fit for purpose” view over repository content for various business and technical users.

Predefined content

• BIRD (Bank’s Integrated Reporting Dictionary)

• Can be used to accelerate efforts for ECB’s collection of granular credit data and credit risk data (AnaCredit), ECB’s Securities Holdings Statistics (SHS), ECB’s Monetary Financial Institutions’ Balance Sheet Items Statistics (BSI), ECB’s Monetary Financial Institutions’ Interest Rate Statistics (MIR), other statistics, such as the balance of payments and national accounts, additional requirements of the Single Supervisory Mechanism and EBA’s Implementing Technical Standards (ITS), which encompasses Common Reporting (COREP) and Financial Reporting (FINREP)

• FR Y 9C and FR Y 14 reports

• Can be used for US CCAR and BCBS239 regulatory requirements

• Finance and Accounting Glossary

• General glossary of finance and accounting terms

• Insurance Glossary

• General glossary of insurance term

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