data and analytics - revolution or evolution? · data and analytics - revolution or evolution?...

Jote Taddese IT Strategy Adviser at

Medtronic

Data and Analytics - Revolution or Evolution?

Marina KerbelEA Consultant at Medtronic

Principal at UpOnData

November 8, 2018

2

Unprecedented Pace of Changes

http://mattturck.com/bigdata2018/

Example - Big Data and AI Landscape from FirstMark

3

~1990s ~2010 ~2018 +

Accelerating Data Changes

EDW

Interconnected Intelligent Enterprise

Big Data

Advanced Analytics

~2015

Rate of

Changes

Key Changes

4

Sources Data Systems Consumers

Enterprise Relational Data

CRM

ERP

Enterprise Reporting

Applications

Batch

Batch

Integrated Enterprise Data

Key Skills: Data Analysis, SQL, Modeling, Database Administration, ETL Development, Reporting

~1990s - Data Warehouse

EDW

5

Sources Data Systems Consumers

Enterprise Relational Data

CRM

ERP

Enterprise Reporting

Applications

Batch

Replication

Unstructured, Logs, Social

Self-ServiceExploration, Visualization

Batch

On-premises, in cloud, hybrid

Consolidated Diverse Data

Key Skills: Data Analysis, SQL, Modeling, Database Administration, ETL Development, Reporting, Visualization, Distributed Data Administration, Object-Oriented Programming

EDW

Big Data StoreHadoop: MapReduce

& HDFS, NoSQL, in Memory

~2010 - Big Data

3rd Party Data

Analytics

6

~2015 - Advanced Analytics

Machine Learning, Predictive and Real-time Analytics, Automation

Key Skills: Data Analysis, SQL, Modeling, Database Administration, ETL Development, Reporting, Visualization, Distributed Data Administration, Object-Oriented Programming, A.I., Machine Learning, Deep Learning, Natural Language Processing, Automation.

Data Systems

EDW

Big Data Lake

Analytics Sandbox

Mach

ine

Learnin

g

Batch

Replication

ConsumersEnterprise Reporting

Batch

Ƒ ()

Self-ServiceExploration, Visualization

Predictive Modeling

StreamingReal-Time

Sources

Enterprise Relational Data

CRM

ERP

Unstructured, Social, Logs

3rd Party Data

Internet of Everything

Analytics

Applications

APIs

Automation

7

~2018+ - Interconnected Intelligent Enterprise

Distributed Interconnected Systems, Analytics Everywhere, Cloud

Data Systems Consumers

Enterprise Relational Data

CRM

ERP

Enterprise Reporting

Applications

Key Skills: Data Analysis, SQL, Modeling, Database Administration, ETL Development, Reporting, Visualization, Distributed Data Administration, Object-Oriented Programming, A.I., Machine Learning, Deep Learning, Natural Language Processing, Automation, Services, Cloud, Security

Batch

Replication

Unstructured, Social, Logs

3rd Party Data

Streaming

Batch

Data Fabric / Virtualization

EDW

Big Data Lake

Analytics Sandbox

Internet of Everything

On-premises, in cloud (public, private, hybrid)M

achin

e Learn

ing

APIs

Ƒ ()

Real-Time

Ƒ ()

Ƒ ()

Self-ServiceExploration, Visualization

Predictive Modeling

Ƒ ()

Analytics

Ƒ ()

Automation

Sources

Master Data Management