ENTRIES TAGGED "analysis"

Walking the tightrope of visualization criticism

Walking the tightrope of visualization criticism

The balance, fairness and realism of our visualization criticism must improve.

A creative field, such as visualization, will have many different interpretations and perspectives. The resolution and richness of this opinion is important to safeguard.

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Why the finance world should care about big data and data science

Why the finance world should care about big data and data science

Roger Magoulas on data's potential to improve finance systems and create new businesses.

O'Reilly director of market research Roger Magoulas discusses the intersection of big data and finance, and the opportunities this pairing creates for financial experts.

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Re-engineering the data stack for speed

Re-engineering the data stack for speed

Acunu is taking a new approach to data storage. Here's what that means for developers.

Acunu CEO Tim Moreton talks about how his company has redesigned the data stack from the ground up, and what the resulting speed boost might mean for big data developers.

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Data and a sense of self

Data and a sense of self

Gary Wolf on how Quantified Self marries data with personal improvement.

User data isn’t the sole domain of marketing manipulation — we can harness and apply that data for our own purposes as well. In this interview, Gary Wolf explains how the Quantified Self is encouraging “the personal use of personal data.”

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Will data be too cheap to meter?

Will data be too cheap to meter?

Data acquisition for a site like CrunchBase may not carry the costs some assume.

The data acquisition process should be increasingly automatic, and so increasingly cheap. I'm hoping for a world where information producers are paid for extracting value from that data.

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Need faster machine learning? Take a set-oriented approach

How a days-long data process was completed in minutes.

We recently faced the type of big data challenge we expect to become increasingly common: scaling up the performance of a machine learning classifier for a large set of unstructured data. In this post, we explain how a set-oriented approach led to huge performance gains.

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Closing the gap between big data and people who need It

Stefan Groschupf on the 3 important steps for working with big data.

Datameer CEO Stefan Groschupf wants to reduce the distance between data analysis and data decisions.

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Big business for big data

Big business for big data

What IBM's acquisition of Netezza means for enterprises.

Netezza sprinkled an appliance philosophy over a complex suite of technologies, making it easier for enterprises to get started. But the real reason for IBM's offer was that the company reset the price/performance equation for enterprise data analysis.

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Good data cuts through the chaos in Haiti

How aggregated data sources and deep analysis are helping Haiti relief efforts

A host of relief organizations quickly converged on Haiti in the wake of January's earthquake. But each group had its own data, its own structures, and sometimes, its own language. In this guest post, Palantir Technologies software engineer Ari Gesher explains how his company helped important data spread across organizations.

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