Data management can often mean the difference between a business that will succeed and one that will drown in too much disorganized information. With high-quality, well-managed data, you can gain a clearer picture of your business. Access the right data when you need it. And make better, more strategic decisions.
From data quality to data integration to master data management, data management solutions help you stop reacting to bad data – and start using your data to make a difference.
For most organizations, big data is the reality of doing business. It’s the proliferation of structured and unstructured data that floods your organization on a daily basis – and if managed well, it can deliver powerful insights.
Imagine being able to analyze data to determine the root cause of failures. Or detect fraudulent behavior before it affects revenue. Implementing the right solutions to make the most of your big data – from data management to analytics – can be key to your business success.
Organizations with massive volumes of data stored in platforms such as Hadoop need a way to extract value from all that information. And that’s where SAS comes in. With SAS support for Hadoop, you can take advantage of the business analytics capabilities of SAS, making it easier to gain insights and discover trends through data management, data visualization and analytics.
Cloud computing, big data, mobile technology, complex supply chains and a globally distributed workforce – these developments are changing the way corporate IT works. Which is why it’s important to be informed and keep your skills sharp. This report features 35 articles that explore the hottest IT topics, helping you stay ahead of the game. Want to learn how to exploit IT for strategic benefit, or the best way to move your company into the cloud?
Data matters more than ever, which is why people who aren't tech-savvy could find themselves at a disadvantage when it comes to staying marketable. What can you do to get (or keep) a job in today's data-driven marketplace? Data expert Phil Simon has five smart tips.
Farzad Mostashari, a recognized leader in health IT, says he focused too much on the volume of his data – and not enough on value. He learned that by digitizing information, improving workflows and paying attention to quality, he could improve processes and change the way he worked.
Even if your organization is rich in valuable data, it can be poor in other ways – such as customer service. Master data management helps bridge that gap. Find out what can happen when MDM goes terribly wrong. And then make your own system right.
It's not a new technology, but people are buzzing about data virtualization. Why all the sudden interest? Experts Anne Buff and Jill Dyché unpack the topic, explaining what the technology does – and the reasons behind why it's so popular.
When it comes to customer feedback, it's human nature to focus on the negative – we complain to customer service when we're unhappy, but stay quiet when things go well. How might that negativity bias impact data quality or big data analytics?
Our educational systems grapple with big data just like everyone else. What are the best solutions for storing, managing and using data so it helps – not hinders – our students? This article sheds light on emerging data management practices.
Data expert Evan Levy attended a conference recently and caught up with some attendees between sessions. The hot topic of conversation? Master data management. See what they said were the next big trends in MDM.
When the lines between different fields of study are blurred (law and medicine, economics and psychology), new ways of thinking emerge. What happens when a data management expert takes an interest in anthropology?
From data integration to data governance, each piece of your data management strategy plays an important role when it comes to improving and managing your business information. Learn what these components are – and what they can do for your business.
There are referees who make sure players stick to the rules. There are guidelines. Best practices. But wait – are we talking about soccer, or data management? The two have more in common than you'd think.
When it comes to data governance, one size doesn't fit all. Your company's culture, maturity and incumbent practices all affect the type of system you might implement. What, then, should you consider before you start a data governance program?
Ever felt like you and your big data specialist were speaking different languages? It doesn't have to be conversation full of "wah-wah-wawahs." Learn how a non-geek can speak big data.
From data access to data federation and master data management, find out what these terms mean and why they’re important for your analytics projects.
Should you have complete confidence in the quality of your data before handing it over for use in processes or analytics? Not necessarily. Find out why it’s okay for your data to be “good enough.”
There’s nothing more awkward than watching analysts struggle to defend their results. Even if you think your process is rock-solid, things can go awry – unless you keep these milestones in mind.
Don’t let bad data bring you down. This insightful e-book uses a real-life client story to prove that a data quality program can make a big difference. It's time to bring bad data out from its hiding place and send it packing.
Most data stewards aren’t hired outright – they’re homegrown. Find out why this can be a smart approach, and then learn six steps toward building your own stewardship program.
As a common data point across databases, address data is an integral part to any master data management strategy. It’s powerful when it’s right; frustrating when it’s not. Could Canada Post turn a seemingly ordinary data point into a profitable business line?
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