Research

In an Omni-Channel environment, the customer doesn’t care which division owns the inventory – they just want the product whenever and wherever they desire. Retailers have established a single view of the customer, but are still operating largely in functional silos.

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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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Are You Ready for Robo-Advice?

By Thomas H. Davenport, Mar 24, 2015

For several decades we have assumed that the best financial planning and wealth management advice came from smart human advisors. Over the last decade or so, those smart humans were augmented with computer systems that make recommendations on the optimal portfolio given a certain risk profile and wealth level.

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All businesses have tons of data and various tools and software to manage it. It’s what you do with that data that significantly increases your ability to compete successfully. What you do with the data is your secret weapon.

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Winter Analytics Symposium Session 4B: Measuring and Communicating Analytics Progress

By IIA Faculty, Mar 17, 2015

Available to ERS Clients only

Most financial assessments of analytics initiatives are project-based, because overall performance can be quite difficult to evaluate. Among participants, ROI measurements for analytics projects more commonly explore the future value of analytics projects, but firms less frequently perform look-backs to evaluate how past projects performed.

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Winter Analytics Symposium Session 4A: Analytics Strategy

By IIA Faculty, Mar 17, 2015

Available to ERS Clients only

Since “Analytics” and “Strategy” cross paths in several ways, enterprise analytics strategy can be explored from three distinct angles: strategy for analytics applications, strategy for analytics capability and analytical business strategy process.

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Make the case for automating and embedding analytic; take analytics out of the back room and get it in sync with the rest of the business. Successful firms are able to turn high-frequency actions into automated tasks, navigating culture shifts along the way.

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The brain is structured to take in content via story. Companies are better at communicating about the “how” and the “what” than about the “why.” When presenting recommendations and data, you need to be able to articulate the why – why it’s important, why the audience should care, and why it will make a difference.

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Winter Analytics Symposium Session 2B: Boosting Analytics with Big Data

By IIA Faculty, Mar 17, 2015

Available to ERS Clients only

Big Data can provide a big boost, but at a cost. Organizations have found that their executives are energized by the idea and potential of big data. However, focusing on big data can be a distraction when other “small data” analytics opportunities are more promising and analytics demand outpaces supply.

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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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