Today, we have a Q&A guest post with one of Perficient’s Data Governance Architects, Ben Leeson. Ben has extensive experience working on master data and governance projects for today’s leading financial services companies. He will also be a part of our upcoming financial services webinar, “Creating a ‘Customer 360’ with MDM in Financial Services” where […]
Posts Tagged ‘data governance’
Establishing Data Governance – Part 1
As we begin a new year it is only natural to reflect on all that has been learned the year prior. I’ve learned that a warm iron and newspaper can help lift candle wax off carpet (sorry mom and dad!) and recently, while on a project, I learned a new word- “propitious”-meaning, good chance of […]
Bad Data, Bad Decisions
As another year ends, many healthcare magazines, websites and journals have an article or two on what the trends were over the past year. No surprise that business intelligence (BI) made it onto every list. There is no doubt that BI solutions and initiatives, which improve reporting and analytics, will empower healthcare organizations to provide […]
Attending IBM Connect? Get Bold!
Join Perficient at IBM Connect this year. You can download the eBook “Get Bold”, and learn how the enterprise is responding to consumer expectations for engagement via social channels. Whether you are planning on attending IBM Connect or not, Perficient would like to offer you this valuable eBook. “Get Bold” explores innovative ways businesses are using social […]
Data Governance – Roles and Responsibilities
First Happy New Year and I hope you all had a chance to read my first posting on “The Importance of Data Governance and Which Data Governance/Organizational Model is Correct for Your Business.” As the prior posting is important, as you would first need to understand the different data governance models before you can truly […]
The Importance of Data Governance and Which Data Governance/Organizational Model is Correct for Your Business
Before I get into the semantics of data governance and which model is correct for your business, hopefully you had the chance to read the prior data governance blog postings from Chris Grenz and Deepak Ramanathan. I highly recommend these posts as they give you a great explanation on the importance of data governance and […]
Setting Expectations for Limited Data Governance
Setting up a new data governance program means bringing deep change to the operating culture of an organization. As a result, getting traction for an enterprise scale effort may not always be the pragmatic route. Sometimes its better to be small and excellent here and let the enterprise adopt governance organically. Limited Data Governance The […]
Data Governance and Stewardship Organizations
In my last blog posting, I talked about the need for Data Governance and Data Stewardship to work collaboratively across business units and that organizations should be formed over time to help enable this collaboration. While no two Data Governance programs are identical, below is an example structure which might be adopted, in a phased […]
Data Governance vs. Data Management
When you hear some talk about Data Governance, it is hard to decipher whether they’re really talking about Data Governance or if they’re really talking about Data Management or some ambiguous conglomeration of the two. The DAMA Dictionary of Data Management defines Data Governance as “The exercise of authority, control and shared decision making (planning, […]
Data Governance and Data Stewardship – keys to successful enterprise data initiatives
When embarking on enterprise data initiatives, such as Meaningful Use, BI or supporting the conversion to ICD-10, success is very often correlated to the degree of business involvement. For enterprise data initiatives, there are three types of business (here meaning non-IT) involvement required: Stakeholder involvement (these, of course, are the people for whom we are […]
Data Governance – a must-have to ensure data quality – Part 2
In Part 1, we saw an overview of Data Governance and the initiatives firms need to take to incorporate governance. Let’s now look a bit more in detail about Data Quality Management as this is a key step in Data Governance towards ensuring data quality. Why is Data Quality Management necessary? Data Quality Management is […]
Data Governance – a must-have to ensure data quality – Part 1
While one of my earlier posts on Quality Data being a pre-requisite for every BI technique is still generating both positive and negative responses, I felt it would be apt to delve into Data Governance and see why it is necessary to be incorporated to achieve & maintain better data quality. First, lets have a […]