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Data governance

The biggest data migration mistakes you can make

So you’re tasked with your organization’s next big data migration. Maybe you’re moving to a new CRM system. Maybe you’ve just acquired another company and need to integrate their data into your system. Whatever the reason, data migrations are critical processes that many businesses go through. The continuing explosion in the volume of data businesses collect, store and use suggests that the trend of most companies engaging in some data migration project isn’t letting up anytime soon.  According to a recent data migration study, 91% of companies engage in data migration projects. 

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Hiring a data steward

No matter what industry you work in, what your job title is, or what your responsibilities are, it is almost a guarantee that you rely on data in some way, shape or form at least once a day; and sometimes you might not even know it!

Data is absolutely everywhere, and it’s quickly becoming the lifeblood of most organizations.

The real question is – do you use it to your advantage? Think about it for a second….

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The evolving role of the Chief Data Officer

Businesses talk a great deal about being data-driven. Yet, using data for strategic purposes can often prove to be more challenging than it would first appear. Organizations today are at the center of a data dilemma, plagued by inaccurate and unstandardized data, information that is scattered across disparate systems, and a lack of defined processes and skilled employees. Yet, business users are demanding access to data with greater urgency than ever before.

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Best practices in data governance

Data governance refers to the set of processes to ensure data meets precise standards and business rules as it is entered into a system. Data governance enables businesses to exert control over the management of data assets. This encompasses the people, process, and technology that is required to make data fit for its intended purpose.

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Top takeaways from the MDM & Data Governance Conference

It’s 8:30 in the morning on Day 3 of the MDM & Data Governance conference and Aaron Zornes, Chief Research Officer of The MDM Institute, is about to introduce a panel of three experts who will address an intimate room of 100 or so attendees. 

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Discussing what’s in store for data governance and data quality at DGIQ

The Data Governance and Information Quality (DGIQ) Conference and Dataversity took their talents to sunny San Diego this week. DGIQ looks at the latest trends and practices used by the leaders in the data space and how they apply strategies around data governance and data quality. This event had a heavy focus on the emergence of data governance and regulatory issues companies are facing in regards to their own data as well as the importance of understanding the integrity and quality of their data moving forward to help drive the bottom line.

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Data quality vs. data governance

In the world of data management, there is a lot of terminology that is used interchangeably. For example: validation and verification or fuzzy matching and identity resolution; these are similar terms that are widely used in our ecosystem. Data quality and data governance are two examples of terms that are not synonyms, but are often confused, and with good reason. These two terms are symbiotic, meaning they are interdependent on each other. You don’t really want to do one without the other.

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The cost of storing unused data

According to a study by 451 research, the cloud storage market is expected to double from 2016 to 2017, with cloud storage costs jumping from $19 billion to nearly $40 billion. As organizations prepare to invest even more in storing their data, it is important to remember that storing vast amounts of data is only valuable when you know what to do with that data. Storing data you do not use can cost more than you may think. 

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The evolving role of the CDO

This week, I attended the FIMA (Financial Information Management) Data Management conference in Boston. While I have heard of this conference, I have not attended in the past. I was excited to hear what the industry experts had to say over the course of two and a half days. The opening remark was given by Peter Serenita, Group CDO at HSBC. He talked about the evolution of his own role—the Chief Data Officer (CDO)—across industries and companies. 

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3 takeaways from Enterprise Data World 2017

This year, Enterprise Data World (EDW) took their conference to the Omni Hotel in Atlanta, GA. EDW examines the latest trends in the world of data—especially in regards to data governance and data quality. This event focused on leveraging data as an asset and bringing IT and business users together to make better decisions for their enterprises. The keynote speakers focused on the emergence of the Chief Data Officer (CDO) within organizations, the importance of having a foundation of high quality data, data modeling, and much more. 

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