Data is a powerful business enabler. You can use it to improve customer engagement, reduce time to market and increase sales—that is, if you get it into the hands of the right people, when and where they need it.

Unfortunately, we all know that data can easily fall into the hands of the wrong people. With a data-driven business environment comes an increased risk of data breaches, cyber attacks, phishing and more. If your data is fragmented and being distributed across many different systems and applications, the risk only increases.

Effective data management can help keep your data out of reach from anyone not authorized to view, edit or compromise it in any way, making it easier for you to manage data security and data control.

Here is how Master Data Management supports your data security efforts.

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Friday the 25^th of May 2018 will probably go over in digital history as a day to remember, as it marks the day the General Data Protection (GDPR) kicked in, unlocking a whole new standard for what to do—and more importantly not to do—with the personal data of European Union citizens. The GDPR is predicted to be the spark that lights a new data protection mindset with both consumers and businesses—and not just in the EU, but globally.

Up until this date, a lot of the information about the GDPR has been aimed at enterprises, guiding them to compliance. But really, the regulation is largely created with the aim of serving individuals. So, in this blog post we’ll fill you in on what the regulation means for you as a European Union consumer (we’ll cover what it means for non-EU citizens further down the text). What exactly can you expect of companies and organisations in a post-GDPR world? Read on, and find out. Perhaps organisations can even learn a thing or two from this post.

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What the foundation of your Master Data Management (MDM) system is built on will depend on the implementation style you agree gives you the best chance of project success. And this will largely be determined by your business situation when it comes to data management.

There are a few different implementation styles to choose from with the main differences being whether you control your data from a central hub or synchronise the hub with your existing data sources.

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Product lifecycle management (PLM) has come a long way in just a few years. Throughout the 1900s a product’s lifecycle held a similar concept to today’s understanding: introduction, growth, maturity, decline. What’s changed is the management of that lifecycle. PLM was created as a manufacturing tool to track the millions of parts from hundreds of manufacturers. Today, most companies across several industries are dependent on it to be successful. And, if your company hasn’t created a digital strategy for PLM, you’re at risk of being wiped out by the competition.

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If you’re considering investing in a master data management (MDM) solution, what are the basic features it should contain, and why? And more crucially, how will each of these elements come together to benefit you and your organization?

In this blog post, learn about six master data management tool capabilities that you should look for before investing.

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What is business ethics? And, when is a company being ethical (enough)? Once a simple question, that was fairly easily answered, by taking a look at the products or services the company was offering and how they did it. Today, it’s so much more complicated, as data now is part of the business mix—and with it, an enormous responsibility to act ethical beyond the obvious.

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Gartner, a leading research and advisory company, predicts that by 2019 90% of large organizations will have a CDO in place.

It also predicts that 50% of these CDOs will fail.

But why? And how can you stop that from happening?

To answer this, it’s important to revisit the reasons why organizations are hiring CDOs in the first place – and this itself varies from company to company …

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Product Information Management (PIM), DAM, EAM, PII, data enrichment, matching and linking. Not quite sure what all those abbreviations, terms and hypes mean and how they relate to Master Data Management (MDM)? Get your MDM definitions in one place in this A-Z of MDM.

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Dealing with increasingly complex products and growing competition has caused many businesses to take another look at how they can improve their product design processes. Identifying solutions that will yield the expected improvements can take a long time and may require organizations to let go of long-held beliefs and practices.

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What’s the most important thing in real estate? According to the old saying: location, location, location. But the sentiment can also be applied to enterprise master data.

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