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Leveraging user-generated social media content with text-mining examples

IBM Big Data Hub

With nearly 5 billion users worldwide—more than 60% of the global population —social media platforms have become a vast source of data that businesses can leverage for improved customer satisfaction, better marketing strategies and faster overall business growth. What is text mining? How does text mining work?

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Insight is the new GOLD

OpenText Information Management

But the reality is that the challenges my children will face will be vastly bigger than mine. Giving the team insight into the correct strategy in any race and for any circumstance makes their race cars go just a bit faster and beat the competition. Raw, structured, and unstructured data is just the start.

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Data science vs data analytics: Unpacking the differences

IBM Big Data Hub

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

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Part 2: OMG! Not another digital transformation article! Is it about the evolution from RIM to Content Services?

ARMA International

Many DT journeys fail because the strategies do not properly assess the stakeholders’ needs and the organization’s capabilities. The DT journey requires a new strategy and roadmap instead of tweaking old ones. Content management tools would play a key role using SaaS, CaaS, MCaaS, and DaaS in a cloud-first strategy.

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8 schools with insurance analytics programs

Information Management Resources

Several top colleges and universities are offering courses and concentrations in applying data to the sector.

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MassMutual unit, iPipeline partner to distribute risk model

Information Management Resources

The life insurer’s LifeScore Labs division is ready to make its data tool available to other carriers in the space.

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Looking for a needle in a haystack couldn’t be easier!

CGI

We believe that three of the key elements organisations should focus on when planning their ‘search’ strategies are: Data harvesting from disparate data sources and different formats. Discovery, to help make sense of large, complex data sets – even when you don’t know exactly what you’re looking for. Add new comment.

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