"What’s In / What’s Out for 2018" from the EDM Council

Posted by Kirk Newell on Jan 18, 2018 3:52:00 PM
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As we kick off the New Year, our friends at the Enterprise Data Management (EDM) Council have released their annual “What’s In / What’s Out for 2018,” a list predicting emerging trends that will shape the data analytics industry, and those that will fall by the wayside.

laptop-2548104_640.jpgWe think the EDM Council has once again put together a comprehensive and prescient list. A few highlights from “What’s In” for the New Year include the rise in semantic technology and knowledge graphs along with the adoption of machine learning and multi-cloud strategies for big data analytics. Another “What’s In” is data governance and compliance with the European Union’s General Data Protection Requirement (GDPR). Whether you’re located in the EU or not, if you work with European firms it will impact how you manage your data once the GDPR goes live in May.

One point the list makes clear - the stage is set for great things in data analytics in 2018.

What’s In

What’s Out

Putting Data to Work

Managing Data as an Asset

Semantic Architecture

Technical Debt

Unraveling Complexity

Data Forensics

Machine Learning

Business Intelligence

General Data Privacy Regulation (GDPR)

Personally Identifiable Information

Grounded in Contracts

Mapped to Data Models

Managing Incentives

Accountability Framework

Organizational Alignment

Tribal Knowledge

Areas of Commonality

Data Leverage



Data Flow

Technical Lineage



Semantic Data Lakes

Operational Data Stores

Governance Formality

Rogue Operations

Business Process Design

Analytics on the Edge

Data Incongruence

Data Discovery

Level 2 LEI

Relationship Mapping

Data Inventory

Applications Directory

Ken Phelan

Dick Berner

Connect the Dots

Data Integration

Logical Meaning

Physical Structure


Intended Use

Russian Hackers

Counterparty Contagion 

Operational Roadmap

Compelling Vision

Information Literacy

Business Case

Ontology Coagulation

FIBO Master

Business Incentives

Data Mandates

Axiomatic Representation

Vocabulary of Meaning

Logical Domains

Data Boundaries

Business Outcomes

Data Metrics

Content Engineering

Data Architecture

Foundational Building Blocks

Transformation Processes



Authorized Data Sources

Golden Copies

Ecosystem Collaboration Knowledge Graphs

Business Resistance

*List courtesy of Michael Atkin, Chief Content Officer, EDM Council.

So, what are your thoughts? Agree? Disagree? Something missing? Let us know in the comments below!

And if you'd like to learn more about "Semantic Architecture" and "Semantic Data Lakes", download our Ovum Consulting report "Finding Order in Chaos: Governed, Smart Data Lakes Extract Value from Big Data".

Download the Report

Tags: Semantics, Ontology, Graph, Smart Data Lake, GDPR, EDM Council

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