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Azure Data Lake: The Next Big Thing in the Reinsurance Industry

Data Management Big Data Analytics

Reinsurance is a complicated industry and it's only getting more complex. Reinsurers provide insurance for other insurance companies to keep those companies' risks to a minimum and according to a recent report from Deloitte, their industry is facing a problem. They're putting together increasingly customized, individually-negotiated contracts for clients, incorporating data from several disparate sources — business partners, administrative systems, internal documents and reinsurance terms — and they're doing it manually.

If You’ve Invested in Data, You Need to Consider IBM’s Watson

AI Big Data Data Management

Organizations are drowning in data right now. This data is coming from all kinds of sources. It's generated by consumer surveys, sensors on smart objects, your CRM, consumer behavior on websites — every business is generating more data than ever before. In fact, according to IBM, every day, worldwide, 2.5 quintillion bytes of data is created and it's only going to increase. For example, one big data generator, the Internet of Things (IoT), is still in a period of growth. The International Data Corporation (IDC) Worldwide Semiannual Internet of Things Spending Guide predicts that worldwide IoT spending will surpass the $1 trillion mark in 2020.

What is a 'Thing': A Basic Architecture for IoT Newbies

Internet of Things Data Management Big Data

Smart medical devices that transmit data directly to healthcare providers. Smart pallets that help warehouses keep track of inventory movements. Smart basketballs that help players track their shots as they practice.

In Over Your Head With Your Database? Here are 5 Signs It's Time to Go NoSQL.

Big Data Analytics Data Management

You've got database drama. You've tuned and tuned, but your queries are still taking forever, and when they come back, they're not returning great results. You have to do something, but what? Denormalize? Change your schemas? Buy a bigger server? If you've already done everything you can possibly do already, you know none of those steps is the right solution. The problem may be that you're using the wrong tool for the job.

Don't Think of AI When You Think of BI? Here's Why You Should.

Artificial Intelligence Big Data Data Management

When artificial intelligence is discussed, people tend to get a little breathless about its possibilities. And why not? The prospect of developing human-like intelligence and incorporating that intelligence into everything from cars to the apps we use at work is exciting. Humans have been dreaming about AI for decades, and we’re just getting to a place where AI is catching up to our fantasies about it. What might we be able to achieve when machines are doing some of our thinking for us? Here’s the thing though; machines have been doing some of our thinking for us — sorting through data and making predictions — for decades, but it’s so commonplace that no one gets excited about it.

Is Healthcare Ready for a Big Data Revolution?

Data Management Big Data Healthcare Analytics

Compared to other industries, Healthcare has been slow to adopt big data, for a variety of reasons. Hospitals’ budget priorities, medical records spread across various institutions, and concerns about data security have all acted as barriers to adoption.

What Is Decision Modeling, And Why Do You Need It?

Big Data Analytics Data Management

Decisions, decisions. Nothing is more stress-inducing — particularly in business, where decision-makers are often under pressure to act quickly— than having to make a big decision. 

What Can A Company Do With Agile Data? Watch Our Webinar and Find Out.

MarkLogic Big Data Data Management Agile

It takes a lot of information to make a widget. Parts, materials, expenses, how things fit together — from research and design to assembly to servicing finished products, the manufacturing industry generates a lot of data. That data is usually unavailable to everyone who works on a widget over its lifetime. Research and design has its own data about costs and assembly in its database. Manufacturing may need that same information, but because its own systems are structured differently, manufacturing can’t use the information from R&D.

Our Business-First Solution to ETL's Business-Last Approach

Data Management Big Data Analytics

You own a paint manufacturing business and you need to know how much you are spending on red pigment. You ask your business leaders to generate a report. Six months later they built a machine that knocks over dominos, rolls marbles, drops inventory, splatters an employee with red paint who then knocks on your door to show you how red the paint is: