Data Governance Feed

Your Data Quality Wish List Answered

by Len Dubois, Sr. Vice President, Marketing & Sales Support, Trillium Software

WishlistDuring my career here at Harte Hanks Trillium Software I’ve spoken to thousands of clients. Many, if not all, have in the back of their mind a vision for what they are looking for in a data quality solution and often they discuss this vision in terms of a set of “wishes.” This being the beginning of the season for granting wishes, I thought I’d write about some of the more common requests that I’ve heard and attempt to begin to provide a roadmap for improving the value of information in order to deliver the assurance that your data meets the needs of your organization.

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Kindling The Flames: The Future of Data Governance

by Nigel Turner, VP Information Management Strategy, Trillium Software

Kindling-onfireI am lucky in that I really enjoy my job. Working as a data quality and data governance evangelist, I interact with many different people from many different companies and countries, all of whom share a passion for improving data and how it is managed. It’s always interesting to talk with these individuals as we brainstorm and share ideas for how we, as a data management community, can shape and advance better data centric processes both now and in the future. The ongoing evolution of this industry is something I am quite passionate about, which is why every year, I participate in the annual student awards ceremony organised by Cardiff University’s School of Computer Science & Informatics, celebrate the students’ successes over the past year.

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Hidden Factories: You can run but you can’t hide

by Kiran Gill, Senior Strategic Consultant, Trillium Software

HidingLast week my colleague Len discussed the problem with hidden data in an organization. It’s not just hidden data companies need to contend with, hidden factories pose significant challenges too.

“What is a “hidden factory”?” I hear you ask. The best way to do this is to picture it using this (fictional) example - I have just arrived at a glamorous party on time and looking good. Everyone says so and I reply “Oh it was nothing! I got ready within the hour”. A total lie of course. Little do they know that I took a day off from work, spent the morning hunting for an outfit, a few hours for hair and make-up, and enlisted the help of friends too. No one sees the excessively time consuming activity in the background– only the end product which looks good on the face of it.

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The Data Governance Tool Box: Do you have the right tools?

by Kiran Gill, Senior Strategic Consultant, Trillium Software

ToolboxImplementing data governance structures can be likened to building a city. You may build a few buildings of uncompromising quality that last but remain unused because they do not meet the needs of the community. Some may crumble because the foundations weren’t strong enough. Some remain unfinished because the construction team got moved onto other priorities. And then there are those that collapse because of substandard construction techniques implemented by workers not skilled to be constructing buildings and not using the right tools for the job.

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Who’s Afraid of the Big Bad Data Wolf?

by Nigel Turner, VP Information Management Strategy, Trillium Software

WolfI recently had the pleasure of presenting at a Big Data & Data Management event in Cambridge University in the UK. The event, jointly organised by the University and DAMA UK, focused on some of the key trends and challenges facing organisations looking to mine and exploit new Big Data sources.  It was an excellent day as attendees came from both Big Data science and the more traditional data management disciplines of data architecture, data integration, data quality and Business Intelligence.  By the end we all realised how much we will ultimately depend on each other, rather than ploughing two parallel furrows that will never meet, as sadly seems to be norm at present.

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Data Governance Trek

by Jim Harris, Blogger-in-Chief of Obsessive-Compulsive Data Quality

Space“Data: the final frontier. These are the voyages of the stewardship Governance. Its continuing mission: To explore strange, new sources of business insight; To seek out new data and new uses for existing data; To boldly go where perhaps no governance has gone before.”

Like many of my fellow data geeks, I am a fan of science fiction. One of my favorite franchises is Star Trek, which includes several fictional technologies that provide good metaphors for data governance:

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What’s the Over-Under on Communication?

by Jim Harris, Blogger-in-Chief of Obsessive-Compulsive Data Quality

GamblingIn sports, an over-under is a wager in which a gambler bets that the total number of points scored by two teams will be either higher or lower than a predicted total set before the game begins. Data governance programs often place over-under wagers of their own, except that these bets are about the extent of communication involved.

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Smart Metering for Utilities Companies A Big Data Challenge

by Kiran Gill, Senior Strategic Consultant, Trillium Software

Smart-meterSmart Meters are described as the next generation of gas and electricity meters that offer a range of intelligent functions. The end consumer can expect to see a display which tells them how much energy is being consumed in the household at any time.

It all sounds fantastic and personally, I’m looking forward to seeing real time information on my energy usage so I can manage this more effectively and ultimately save some money! As it stands, consumers don’t have this transparency and can’t make informed decisions - therefore we wait with great anticipation and high expectations.

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Data Governance needs a Gravity Assist

by Jim Harris, Blogger-in-Chief of Obsessive-Compulsive Data Quality

GravityIn my previous post, I discussed how data governance needs to pull people from different parts of the organization together in order to push the enterprise to new heights.  In this post, I want to discuss another type of push data governance needs, a push that’s reminiscent of what humanity needed in order to reach for the stars.

In space travel, a gravity assist is the use of the relative movement and gravity of a planet to alter the path and speed of a spacecraft, typically in order to save propellant, time, and expense.

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The Pull and Push of Data Governance

by Jim Harris, Blogger-in-Chief of Obsessive-Compulsive Data Quality

Pull-push“When we get in the spirit of following a problem to the root,” John Seely Brown explained, “that pursuit of listening to the problem brings multiple disciplines and multiple crafts together.  The problem pulls people together.”

I have always liked that quote as a way to describe the collaborative culture of data governance.  Data governance illustrates the intersection of the business, data, and technical knowledge spread throughout the enterprise, which transcends the artificial boundaries imposed by an organizational chart.  Recognizing the need for data governance reveals how truly interconnected and interdependent the organization is.

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