Research

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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Analytics 3.0 brings together big data and small data and integrates it in a seamless fashion. Can 3.0 Work in Healthcare? Absolutely. Healthcare organizations are increasingly using data to make decisions; decisions that can be made quickly and can scale as scope increases exponentially. Analytics is no longer just for internal decision support; there are data and analytics-enabled products and services that are quickly emerging.

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Analytic capabilities provide the potential to accelerate innovation and in particular develop cancer treatments that are customized to various cancer types and individual responses to treatments. Identifying those who are genetically predisposed or vulnerable to certain types of cancers can lead to preventative action, behavior/lifestyle modifications, or advance treatments.

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If I gave you the choice of winning either $1,000,000 or one penny doubled every day for a month, which one would you pick? The million dollars sounds pretty good, doesn’t it? However, by the time day 30 comes along that penny doubling will be worth more than $5 million due to the power of exponential growth.

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There is an important analytics and business intelligence annual prediction that was largely overlooked for 2015. This noteworthy and developing trend is grounded in the healthcare industry. There is tremendous potential in the accelerated growth and proliferation of genomics, which is enabled by data accessibility, accompanied by clinician and researcher cooperation and collaboration.

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What’s Your End State Vision for the Internet of Things?

By Thomas H. Davenport, Feb 17, 2015

Visions evolve over time, and are never implemented quite as envisioned. But the IoT course is long and complex enough so that it can’t be accomplished without a vision. To contradict Alice of “Looking Glass” fame and George Harrison, if you don’t know where you’re going, any road will not take you there.

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Data Offense and Defense

By Thomas H. Davenport, Jan 28, 2015

I am a New England Patriots fan, and with the team facing off against the Seattle Seahawks in the big game this Sunday, I’d like to touch on the subject of offense and defense.

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Data Management for Analytics: Capabilities, Trends and Recommendations

By Mike Lampa, Jan 26, 2015

Available to ERS Clients only

Data management for analytics is an exciting field these days, to put it mildly. But the excitement often takes the form of confusion and anxiety because it takes daunting effort to navigate through what the multitude of commercial and open-source data management platforms do and where they should be deployed in order to promote better business operations, decisions, and outcomes. Organizations are increasingly feeling the pressure to more creatively democratize and monetize vast amounts of existing and new data in a variety of formats. Managing today’s data and putting it to work poses new challenges for the CIO, CDO and CAO.

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Making Sense of the Third-Party Data Economy

By Thomas H. Davenport, Jan 13, 2015

When I think of the data economy, I usually focus on either online firms like Google and LinkedIn, or large, established companies like GE and Monsanto that have invested in data and analytics-based products and services for their customers. These companies use their own data to develop their own products and services. But there are certain advantages from having third parties do this sort of work for you. They can provide independence, scale, and processes that are solely focused on helping to monetize your data.

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