Data quality
Why every business needs a single customer view
A single customer view is a consolidated, consistent, and holistic representation of the data a business possesses about each of its individual customers. It’s often discussed as a marketing tool, frequently in the context of retail customers or consumers. Yet having a robust single customer view has value to most medium or large businesses – those whose customer base is too large for any single person to know and understand. And it has value beyond the marketing department...
DGFS 2017: Data for the people, by the people
Bright and early on a Thursday morning, hundreds of data professionals convened for the 2017 Data Governance Financial Services (DGFS) conference. Hosted in Jersey City, New Jersey, DGFS brings together likeminded and passionate data professionals from across the country with a common mission: to share best practices and overcome challenges related to their data governance programs.
How data profiling helps you find the ugly truth hidden in your data
Have you ever met someone who made a great first impression, but the more you got to know them, the more flaws you noticed? Maybe they said one thing but did another. Or you expected them to show up at the designated place and time and they failed to show up. Or sometimes, they are just nothing like what you’d thought and you realized you made false assumptions. Well, sometimes your data can be the same way. At a first glance, it isn’t always immediately clear what issues may be lurking just past the surface within your data. That’s where data profiling comes in.
Top takeaways from Strata Data Conference
This past week I was lucky enough to attend Strata Data Conference. The conference allows big data's most influential business decision makers and strategists to gather in order to share experiences, thoughts, strategies, and products with the goal of positively impacting their business or technology. The event was held at the Javits Center in New York City. Placing the conference in the heart of NYC allows companies from Wall Street and Silicon Alley to attend with relative ease, ensuring all industries are tapping into the opportunity that Strata presents.
Data migration: 8 things to know before you begin
Data is at the heart of every organization, and data migration projects are important undertakings for many businesses as they strive to keep up with the pace of technological advancement. Data migrations to more updated systems underpin the success of many strategic initiatives. While 35 percent of organizations have a data migration project planned for this year, a staggering 80 percent of all data migrations fail!
Data management 101
Despite the fact that the importance of data is widely recognized among company executives, there is a gap between this recognition and the number of organizations that are leveraging data to empower business decisions. To close this gap, organizations are investing in data management practices to establish trust and control of their data.
How data standardization delivers ROI
We've used this analogy many times here at Experian Data Quality, but that's only because it makes a lot of sense when referencing data standardization. What analogy am I talking about? The one where we discuss how a robust data management strategy relies on a methodical, step-by-step approach—much like how you'd approach building a house.
The top 5 most common data quality issues
Data quality can be boring. Yes, I said it. And this comes from someone who has worked in the data quality space for more than 20 years. When I’m at a social gathering, I dread the inevitable “so what do you do?” question. My short answer is usually “boring computer stuff.” Heaven forbid they try to dig deeper! Then it becomes this awkward explanation about reducing the amount of junk mail they get or some pseudo-relatable data activity, and then watching their eyes begin to glaze over. At the end of the day, I use my tried-and-tested conversation changer, “enough about me, what about you?” I double majored in Computer Science and Psychology, and while Computer Science ultimately provided the foundation of my career, I’ve found that the psychology background is often more valuable for dealing with people and sticky situations.
Building an effective data management strategy for your business
An effective data management strategy is good for your business. As organizations today rely on their data to help drive business initiatives, the quality of that information is growing increasingly important. But you probably already knew that. It turns out that data professionals spend a lot of time talking about data in terms of its accuracy and a lot less time talking about its accessibility and readiness. While the importance of accurate data is undeniable, organizations should understand that having accurate data is only a benefit if you can access that information when it’s needed.
Gaining greater insight into your organization's data
I don’t think it’s a surprise to anyone that businesses are making their most important decisions off the back of the data available to them. Within the past year, we have conducted some market research about the role of the Chief Data Officer (CDO) and data management trends and the results indicate that organizations are truly considering their data an asset. One of the most prominent responsibilities of the CDO is transforming data into a business growth opportunity. We also have seen more and more data operations and analytics roles popping up in the market to address the issue of getting accurate and complete data back to management in a timely manner.
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