Master data management strategy resources and information

Master data management strategy News

June 16, 2021 16 Jun'21
Healthcare device maker boosts production with data quality

One of the world's biggest ventilator manufacturers ramped up production during the pandemic by improving its own data health to better understand and optimize operations.
May 19, 2021 19 May'21
Syncari raises $17.3M for automated cloud data sync

Data synchronization vendor is looking to solve the challenge of keeping data updated and automated across multiple cloud systems in a unified data model.
May 04, 2021 04 May'21
Syniti boosts DataOps chops with DMR merger

The CEO of an enterprise data management vendor explains why his firm is merging with Data Migration Resources to expand their reach and data quality offerings.
April 13, 2021 13 Apr'21
Informatica pulls together cloud data management in the cloud

Informatica rolls out its Intelligent Data Management Cloud, as customers provide insight into cloud data management challenges and opportunities at Informatica World 2021.

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7 data modeling techniques and concepts for business

Three types of data models and seven data modeling techniques are available to data management teams to convert mountains of information into valuable business intelligence. Continue Reading
9 steps to a dynamic data architecture plan

Learn the nine steps to a comprehensive data architecture plan, including C-suite support, data personas, user needs, governance, catalogs, SWOT, lifecycles, blueprints and maps. Continue Reading
How to build a successful cloud data architecture

As enterprises vacate the premises and migrate their operations skyward, a cloud data architecture can provide the long-term flexibility to improve workflows, costs and security. Continue Reading

Weigh the pros and cons of technologies, products and projects you are considering.

Data architecture vs. information architecture: How they differ

Data architects collect the statistics and information architects put the numbers into context as they work symbiotically to bolster an enterprise's data and business strategies. Continue Reading
Data modeling vs. data architecture: What's the difference?

Data modelers and data architects have distinctly different roles, but they work in a complementary fashion to help enterprises unlock and capitalize on data's business value. Continue Reading
Data governance and your master data management strategy

Strong data governance and master data management strategies typically go hand in hand. Read on to see how key factors of data governance can support your master data management. Continue Reading

Learn to apply best practices and optimize your operations.

EY CTO outlines data governance challenges

Multinational professional services firm EY has taken a strategic view of how to manage and use data in a federated approach powered by a trusted data fabric. Continue Reading
Technology is the easy part, it's the process of change that's hard

CIOs may have a handle on harnessing technology, but to truly be digital IT leaders, they need to focus on the multifaceted process of business transformation. Continue Reading
Cloud data catalog benefits for the enterprise

Vendor cloud data catalog options are expanding and offering more automated tools to end users. Read on to find out how enterprises can benefit from these options. Continue Reading

We’ve gathered up expert advice and tips from professionals like you so that the answers you need are always available.

Data quality for big data: Why it's a must and how to improve it

As data volumes increase exponentially, methods to improve and ensure big data quality are critical in making accurate, effective and trusted business decisions. Continue Reading
Top 3 data privacy challenges and how to address them

There are many issues enterprises face in their data privacy programs. Read on for how to address the most common three found across organizations. Continue Reading
Breaking down data silos with strong data governance

Not having a single source of truth can be a huge issue for data professionals. But strong data governance policies can prevent data silos and lead to better-quality data. Continue Reading