Research

The 10 Levels of Analytics

May 26, 2015

Available to ERS Clients only

In this phone briefing John Elder and Andrew Fast describe the types of analytics inquiry and categories of modeling technology, illustrated with examples drawn from tabular data but also from advanced information types, such as sequences, text, and links.

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The Current State of Hadoop in the Enterprise

By IIA Faculty, May 20, 2015

Available to ERS Clients and Professional Members

Taken together, the actual experiences of Hadoop users today temper the fervor of the various Hadoop related market segments. Hadoop will undoubtedly play a central role in the data and analytics architectures of the future, but can also carry with it expense, rapid change and frustration in the near-term. As the Hadoop ecosystem continues to develop, reality will come into line with the promise.

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On the Lighter Side…

By Jack Phillips, May 19, 2015

On the lighter side this week, I was reminded of how commonplace data and analytics have become among young generations.

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Healthcare Data and Analytics in the Cloud

By IIA Faculty, May 08, 2015

Available to ERS Clients only

An IIA Client asks about performing high volume computational analytics in the cloud, and in particular, using a private cloud on Amazon Web Services of Google running full PHI and PII data.

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The fashionable gift among generous conference organizers these days is a wearable activity tracker. I’ve been given a Fitbit One (twice), a Fitbit Flex, a Shine, and a Withings Pulse. It’s good that I get a lot of them, because I lose or launder them often. Hint to other generous conference organizers: I’d like to try out a Nike Fuelband, a Jawbone Up, or a Fitbit Force.

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Transforming Healthcare with Patient Generated Data

By Chris Gough, Apr 09, 2015

Available to ERS Clients and Professional Members

IIA spoke with Chris Gough, Lead Solutions Architect with Intel Health & Life Sciences to understand how the wearables market is impacting patient care as well as some of the changes taking place with providers, insurers, and employers. With significant growth projections, wearables have become more than a passing trend and are truly changing the way people and organizations think about managing health.

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Tackling Common Analytics Problems

By Stephan Kudyba, Apr 07, 2015

So you’ve jumped on the analytics bandwagon to improve decision making and process efficiency with strategic information, but so far your plans are not working out…what’s the problem you ask? As powerful as analytics can be to provide decision support in organizations, there are a number of factors that can render analytic initiatives lackluster or of little value

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Data Management for Analytics

By Mike Lampa, Mar 30, 2015

Available to ERS Clients only

In this phone briefing, IIA faculty member, Mike Lampa provides insights on the future of the core functional domains of data management for analytics. Originally developed in Mike’s IIA research brief, he makes recommendations for how an organization might consider applying data management technologies for better business outcomes through advanced analytics.

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Making Meaningful Predictions in the Fast Lane (translated to Japanese)

By Mark Dobeck, Jerry Baulier, Scott McCormick, Mar 24, 2015

Available to ERS Clients only

要点

  1. イベント・ストリーム・プロセッシングは、無線および有線のトランスミッションを活用し、 複数のソースから最大で毎秒 100 万件のストリーミング・イベント/トランザクションを処 理します。送受信はリアルタイムに行われ、レイテンシ(遅延)はマイクロ秒レベルの低さ です。ほぼすべての業界と市場において、イベント・ストリーム・プロセッシングの活用は 拡大し続けており、関心も高まっています。イベント・ストリーム・プロセッシングは、継 続的なリアルタイムのストリーミング・アナリティクスに活用されています。
  2. イベント・ストリーム・プロセッシングは、意思決定能力の強化を目的としたデータ活用を 促進します。構造化データと非構造化データをどちらも活用し、「データが移動中」(スト リーミング/流れている間)に意思決定を行えるようにします。イベント・ストリーム・プ ロセッシングをコネクテッド・カー・テクノロジーに適用することで、イベントや異常、課 題、懸念すべき状況をリアルタイムに検知し、ほぼリアルタイムに対応できるようになりま す。
  3. コネクテッド・カーのイニシアチブを成功させるためには、政府機関、サプライヤ、サード パーティ・サービス・ベンダー、アフターマーケット・デバイス、テクノロジー企業、自動 車メーカー、そしてそのバリューチェーンを含むビジネス環境全体の連携と協調が必要です。 このシステムは拡張可能で、かつ複数のプラットフォームに対応しなければなりません。

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Winter Analytics Symposium Session 2A: Population Health Analytics

By IIA Faculty, Mar 17, 2015

Available to ERS Clients only

Population Health, as a concept, has been around for quite a while. It was defined in 2003 by David Kindig, MD, PhD, and Greg Stoddart, PhD, in the American Journal of Public Health as: “The health outcomes of a group of individuals, including the distribution of such outcomes within the group.”

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