Articles about Big Data

Data science company Protagonist (previously called Monitor 360) is launching a new platform that is designed to analyze complex, cross-platform data sets in order to reveal the underlying beliefs and motivations of consumers.

Using advanced natural language processing and machine learning it can uncover and measure the narratives that impact a given market, while the company's team of narrative experts apply high-level evaluation to give actionable meaning to the findings.

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Although big data is currently all the rage, extracting meaningful business intelligence from it can prove costly and time consuming.

Data acceleration company Jethro is launching its latest platform offering an all-in-one enterprise solution that combines the power of indexing architecture with 'auto-cubes' to accelerate extracting business intelligence from big data.

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Adobe and Microsoft are joining forces to create new solutions for marketing, sales and services. Microsoft Dynamics and Adobe Experience Cloud will work with a shared data format to allow the two systems to work side by side together.

Ahead of today's Adobe Summit, the two companies revealed their plans to collaborate on another project: creating a new industry standard data model. By standardizing data structure, it is hoped that data can be gathered and processed from customers more quickly, and in-depth data analysis can be performed more efficiently.

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Big data has been something of a buzz word in IT and in enterprises in recent years, but while many people are enthusiastic about its potential there are fewer examples of its tangible benefits.

Canadian printing company Colourfast has produced an infographic looking at what benefits big data is actually bringing to companies.

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The importance of data to business decisions is well understood, however, too often companies are relying on outdated intelligence tools which mean they waste time creating reports.

Analytics specialist Mixpanel is looking to help companies unlock their data with the launch of Mixpanel Dashboards.

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Brands often turn to sources like Google and Facebook to find information about consumers, but a new report suggests that telecom carriers could be a valuable source of customer data.

The study of over 300 brands in the US, UK and France by Ovum for mobile technology company Synchronoss Technologies finds that 67 percent of brands consider telecoms operators to be a better original source of data insights than Google, Apple and Samsung.

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The benefits of data science are widely recognised according to a new survey, but 22 percent of users are failing to take full advantage of the data available.

The study by Continuum Analytics, the company behind the Anaconda open source data platform, surveyed 200 data science and analytics decision makers at US organizations of all sizes and industries, as well as more than 500 data scientists to uncover similarities and disparities between the two groups.

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Big data analytics specialist Logtrust is using RSA to launch a new solution for delivering real-time, integrated threat analytics.

The program enables companies to build solutions that analyze the historical behavior of systems and attackers in order to detect, understand and eliminate potential threats in real-time -- even those that are coming from multiple sources, across multiple devices.

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Many organizations rely on databases to support their decision making processes, but the process of importing, analyzing and then acting on the data can inhibit fast action.

In-memory SQL database specialist, VoltDB is releasing version 7.0 of its to offer increased scalability for managing transactions and generating analytics while ensuring high availability and strict data consistency.

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Technology means that marketers are able to collect more information on customers and their purchasing habits than ever before.

But a new study shows that there's a divide on how important using that information is going to be. The survey by marketing software company Marketo reveals that while 57 percent of all respondents in the US believe predictive analytics will be the primary technology they use to engage with their customers, only 11 percent of international marketers think the same.

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In the online world, where data aggregates, compounds and grows at a tremendous pace, your business probably has multiple tools for collecting data. But how many tools does it have for making sense of that data?

Are you able to merge or fuse sets of data together to fully understand your users? Do you have a single source of data in order to understand the complete user journey? Are you able to use the data to answer complex business questions? If you answered "yes" to the above questions, you’re a step ahead of many others. According to , online companies are continuously investing more in analytics. At the same time, however, their satisfaction continues to decline. How can online businesses become more confident about their analytics tools?

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Businesses are collecting more data about their operations and their customers than ever before. But data in itself is only part of the story. For it to be useful it's necessary to spot patterns and gain insights.

At this point most businesses turn to analytics, but this can only tell you what's happened in the past. To predict future trends means using algorithms to build models of what may be complex systems.

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There's been a lot of talk about big data in the past year. But many companies are still struggling with implementing big data projects and getting useful results from their information.

In this part of our series on 2017 predictions we look at what the experts think will affect the big data landscape in the coming year.

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This is the time of year when industry experts like to come up with predictions for the coming 12 months. Last week we looked at some of their security forecasts, today it's the turn of the cloud to get the crystal ball gazing treatment.

So, what do experts think are going to be the cloud trends of 2017?

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A new survey reveals that big data deployments are on the rise and increasingly are in the cloud. More than half of respondents say they deploy big data in the cloud today and 72 percent plan on doing so in the future.

The study from self-service analytics platform AtScale shows close to 70 percent have been using big data for more than a year (compared to 59 percent last year) and 95 percent of respondents have achieved positive value or are anticipating that they will.

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