Semantic Technology Is Not Only For Data Geeks

You can’t bring up semantics without someone inserting an apology for the geekiness of the discussion. If you’re a data person like me, geek away! But for everyone else, it’s a topic best left alone. Well, like every geek, the semantic geeks now have their day — and may just rule the data world.

It begins with a seemingly innocent set of questions:

“Is there a better way to master my data?”

“Is there a better way to understand the data I have?”

“Is there a better way to bring data and content together?”

“Is there a better way to personalize data and insight to be relevant?”

Semantics discussions today are born out of the data chaos that our traditional data management and governance capabilities are struggling under. They’re born out of the fact that even with the best big data technology and analytics being adopted, business stakeholder satisfaction with analytics has decreased by 21% from 2014 to 2015, according to Forrester’s Global Business Technographics® Data And Analytics Survey, 2015. Innovative data architects and vendors realize that semantics is the key to bringing context and meaning to our information so we can extract those much-needed business insights, at scale, and more importantly, personalized.

Read more

Semantic Technology Is Not Only For Data Geeks

You can’t bring up semantics without someone inserting an apology for the geekiness of the discussion. If you’re a data person like me, geek away! But for everyone else, it’s a topic best left alone. Well, like every geek, the semantic geeks now have their day — and may just rule the data world.

It begins with a seemingly innocent set of questions:

“Is there a better way to master my data?”

“Is there a better way to understand the data I have?”

“Is there a better way to bring data and content together?”

“Is there a better way to personalize data and insight to be relevant?”

Semantics discussions today are born out of the data chaos that our traditional data management and governance capabilities are struggling under. They’re born out of the fact that even with the best big data technology and analytics being adopted, business stakeholder satisfaction with analytics has decreased by 21% from 2014 to 2015, according to Forrester’s Global Business Technographics® Data And Analytics Survey, 2015. Innovative data architects and vendors realize that semantics is the key to bringing context and meaning to our information so we can extract those much-needed business insights, at scale, and more importantly, personalized.

Read more

DATA Act IT Infrastructure – Platform Consolidation, Virtualization & Collaborative Governance as Change Enablers

Momentum and activity regarding the Data Act is gathering steam, and off to a great start. Reaching the 2017/2018 milestones, however, will require IT infrastructure change.
Some change may be simple or take advantage of existing modernization
efforts; much change will be very difficult, complex and/or costly.
Strategies to prepare for this change, and catalyze it, are not yet part
of the government-led discussion – but they are now part of the
industry-led discussion, per this new Executive Report from ACT-IAC, co-authored by Oracle: “The DATA Act – IT Infrastructure Guidance Change Facilitation for IT Departments”.

US Regional, Metropolitan Area Public Sector “Open Data” Synergies, Opportunities, Challenges

Current dialogue among the leadership and constituents of the Federal, Washington
DC, Maryland and Virginia (DMV) regional “Open Data” government
community have shed new light on the challenges and opportunities that
individual jurisdictions face (not just around DC), in establishing Open
Data capabilities and services – both public-facing, and as part of the
inward-facing “information sharing” context within their own agencies. 
Open Data is also a very different conversation, when held at a purely
local level, vs. statewide or across an entire metropolitan region.

Public Sector Open Data via Information Sharing and Enterprise Architecture

Recent government policies and public demand for open data is rapidly exposing both opportunities and challenges within government information-sharing environments, behind the firewall – in turn a fantastic opportunity and challenge for the Enterprise Architects and Data Management organizations.

Protecting Data is Good. Protecting Information Generated from Big Data is Priceless

This was the key message that came out of The Open Group® Big Data Security Tweet Jam on Jan 22 at 9:00 a.m. PT, which addressed several key questions centered on Big Data and security. Here is my summary of the observations made in the context of these questions. Continue reading

Questions for the Upcoming Big Data Security Tweet Jam on Jan. 22

Last week, we announced our upcoming tweet jam on Tuesday, January 22 at 9:00 a.m. PT/12:00 p.m. ET/5:00 p.m. BST, which will examine the impact of Big Data on security and how it will change the security landscape. The discussion will be guided by these six questions… Continue reading

Data Governance: A Fundamental Aspect of IT

Underlying both SOA governance and Cloud governance is a fundamental aspect that we have been dealing with ever since the dawn of IT—and that’s the data itself. Let us challenge ourselves with a few questions. Consider them the what, why, when, where, who and how of data governance. Continue reading

Different Words Meant Different Things, Part 3

This is the final installment of a three-part series that discusses how our vocabulary affects the way we conceptualize Enterprise Architecture, Business Architecture and their relationship. To close, The Open Group’s Leonard Fehskens will consider the implications of a more inclusive concept of enterprise on the future of Enterprise Architecture. Continue reading

Different Words Mean Different Things, Part 2

This is a three-part series that discusses how our vocabulary affects the way we conceptualize Enterprise Architecture, Business Architecture and their relationship. This second installment will examine the effect of our definition of enterprise on how we think about EA. Continue reading