Set Your Data Free with a Data-Centric IT Approach

The Voyage from Application-centric to Data-centric Thinking

What is at the center of the IT universe?

APPS

APPS

APPS

APPS

APPS

APPS

APPS

An alternate picture

APPS

APPS

APPS

APPS

APPS

APPS

APPS

PLATFORM/

HUB

Constructs of an App-centric world

Specific use cases drive application logic

Application-centric thinking

It is easier to visualize the utility of applications than “use case” independent data. Where is the UI?

Then there is this

Deconstruction of the monolithic Apps

On the other hand

New and relevant data sources are emerging… Volume, Velocity, Variety

Data scientists are not data janitors!

Data scientists spend up to 80% of their time on1

preparation for analysis

With salaries that range upwards of $200,0002

they make very expensive data janitors

VERACITY AT WORK

Integration Harmonization Management

CAUTION

1 - Lohr, Steve. “For Big-Data Scientists, ‘Janitor Work’ Is Key Hurdle to Insights” The New York Times. 17 August 2014.

2 - Rosenbush, Steve. “The Morning Download: Competition for Data Scientists Heats Up” The Wall Street Journal. 11 August 2014.

What if Data was at the center of the universe?

APPS

DATA

APPS

APPS

APPS

APPS

APPS

APPS

Pre-reqs for Data-centric approach

Data is the resource that is mined by the data capture facilities, transported and refined by data brokers, and finally consumed and converted into value by the data analysis tools.

Data Capture

Data Brokerage

Data Analysis

Pre-reqs for Data-centric approach

Data Capture:

Applications that capture or accept data input and/or perform operations that yield discrete data artifacts (or a homogeneous collection of operational data).

Pre-reqs for Data-centric approach

Data Brokerage:

Source-agnostic utility that accesses and accepts data, performs value-added services on the data and either provides access to or emits enhanced, aggregated data sets.

Pre-reqs for Data-centric approach

Data Analysis:

Domain experts and context aware systems who are consumers of multi-dimensional data and emitters of insights.

Information portals used to display enriched health data align best to this category, allowing the user of the data to manually perform the analysis of the consolidated information.

Anatomy of a Data-centric universe

Capture &

Operations

Analysis &

Presentation

Cloud

Apps

Reports

APIs

ERP

Data

Databases

Unstructured

Data

Information

Portal

File System

End points

Real time

insights

CRM

Capture &

Operations

Analysis &

Presentation

Diagnostic

Testing

Outcome

Mgmt.

Compliance

Health

Monitoring

Data

EMR

Lab &

Radiology

Information

Portal

Insights

Clinical

Informatics

Clinical

Trials Mgmt.

Real world use case - Healthcare

Solution strategy – the Data Factory

Integration &

Acquisition

• Network Services

• Integration Platform

• Protocol Translation

• Messaging

Choreography

• Device Enablement

Data Integration

Data Access

& Syndication

• User Authorization

• User Entitlement

• API Management

• Data Virtualization

Data Integration

Enrichment &

Harmonization

• Data Transformation

• Data Validation

• Schema Management

• Industry Glossaries

• Ontology Management

• MDM Workflow

• EMPI (Master Patient

Index)

Secure

Compute

& Storage

• Big Data Platform

• Capacity Planning

• Tokenization

• Encryption

• De-Identification

• Consent Management

• PHDR (Patient Health

Data Repository)

Data Management

(Big Data Infrastructure)

Mass customization & Data

Mass customization is based on the premise that people want and get exactly what they specified

In summary

Insights and analysis are artificially constrained today by application-centric computing. Data needs to be liberated for true innovation.

Nobody knows what data will be available, or from what sources, in the future to provide exciting and fresh insights.

In summary

A data-centric architecture will ensure companies can adapt and assimilate these new data sources quickly and effectively.

Mass customization techniques can provide a cost effective platform for data factories while meeting the exact needs of data analysts.

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