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.
We 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 |
|
MiFID II |
Dodd-Frank |
|
Data Flow |
Technical Lineage |
|
Criticality |
Dimensionality |
|
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 |
|
Fit-for-Purpose |
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 |
|
Harmonization |
Reconciliation |
|
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".
