Posts

Announcing Magnitude ONE

As readers of this blog are aware, we have frequently discussed a variety of topics related to master data management. Over the course of the last decade we’ve enabled a good number of companies to deliver better reference and master data, across all domains (customer, product, financial, supplier, employee, etc.), and for operational as well as analytical systems. You can read about a few of them here.

Most, but not all, Kalido customers are large enterprises, firms over $1 billion in revenue. Larger firms are often early adopters because they can afford to commit resources to pursuing new ideas to better manage their information. By the same token, midmarket firms – companies with $50 million to $1 billion in revenue – often suffer from the same data challenges as large enterprises, yet they don’t have the resources to pursue an MDM solution. But they share the same characteristics: typically many different operational systems, usually with a mix of on-premises and cloud-based deployments, and an urgent need to be more agile and nimble than their larger competitors. Read more

MDM Architectural Styles: Domains Matter

In a previous blog I discussed the four primary MDM architectural styles: consolidated, registry, coexistence, and transactional. In case you missed it, read it here: MDM Architecture Styles – Do you have the right mix? Each has their individual strengths and weaknesses, but no single MDM architectural style is ideal for every application.  Read more

Why some Data Quality and MDM tools undermine Data Governance

If you ask most people involved with information management and data governance if they understand data quality you would get a resounding “yes!”  However, the true definition of what constitutes quality data is a very complex and subtle one.  Data that is “high quality” for the purpose of, say, operations may be nearly useless for the purpose of invoicing.  In other words, data quality really is relative to the business process that will use the data. Read more

See you on Google+

Some of you may have seen I tweeted last week that I deactivated my Facebook account after learning that Facebook had uploaded all of my contact information from my iPhone. Not only does my iPhone contain my personal contacts, but my business contacts as well, over 1,500 entries.  I am incredulous that Facebook would so blatantly violate privacy; and for me this was the step too far. Read more

Minding your P’s and Q’s (Process and Quality)

Yesterday, I was reviewing some new work by the Kalido team around our Data Governance product; the effort is focused on bringing to the forefront both data quality and process quality in order to improve business performance.  It’s impressive because for the first time I can see how my data quality directly impacts the steps in the business process. What’s even more impressive is I can show what happens to my business process when I improve data quality. That directly correlates to business process efficiency and gives the business process owner the ability to target specific process steps or data sources. Read more

Bad data made me go digital

So, I have to admit it: Like most people, I’m a creature of habit. When I realized I was getting to the end of my trusty National® Brand 150-page lined account book (known to most people as a notebook), I fired up my browser to buy some replacements. Unfortunately, the company where we buy office supplies from carries something similar, but not identical. So I left the confines of our approved suppliers and found my product. I ordered 2, and selected 3-day shipping. Read more

Impact of Data Governance on Business Performance

I’ll be continuing the discussion started in my post Measuring data governance programs in which I highlighted four distinct categories of measurement that apply to data governance programs: level of policy compliance, level of data quality, impact on business performance, and performance of data governance processes. Driving the greatest return on the investment in data governance is dependent on transparency and ongoing assessment of its impact across these dimensions. Read more