Bertrand Duperrin's Library tagged unstructureddatas → View Popular, Search in Google

Apr

2012

Unstructured data: Challenge or asset?

"Big data, unstructured data, semi-structured data. Data is all over the technology news, and for good reason. It is overwhelming most organizations; requiring new ways to operate to stay competitive; helping to serve customers better; and bringing new products to market faster. "

www.zdnet.com/...6356681

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bigdata unstructureddatas customers customerservice customerinsight insights customercentricity data knowledge knowledgecapital

According to a recent IBM Survey of 1,500 CEOs, a staggering number of CEOs describe their organizations as data rich, but Insight poor and voice frustration at not being able to transform available data into feasible action plans, let alone detect emerging opportunities.
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- Particularly disturbing is the inability of companies to effectively manage customer information coming from social media as well as enterprise systems. A recent Coveo survey of 100 customer service executives showed that 85 percent believe their management of unstructured content will determine how effectively and efficiently they’ll be able to serve customers in the future.
- The movement to customer-centric operations—made essential by the vast choices open to consumers and B2B buyers – requires all departments to draw insight from customer information in disparate sources and to share their findings with other areas
- Organizations may confuse data, information and knowledge. Data is useless unless combined with other data to create information. Knowledge is the human capacity to take action facing a complex situation. Collective knowledge is often the most important asset of an organization, which is why it can be referred to it as Knowledge Capital.
- This ability to gain the necessary knowledge to face a complex situation is accomplished by: a) quickly re-assembling the relevant information from all sources and b) identifying the people who possess the knowledge
- Legacy technology to handle unstructured data often attempts to consolidate the data by moving the data into a “system of record,
- The initial challenges with this strategy are summarized here, however the challenges are multiple. Mercurial, unstructured data:
  1. Is unavailable to users during the time it is being curated
  2. Quickly becomes outdated
  3. Continues to proliferate outside of the system of knowledge
- Importantly, the newly “structured,” unstructured data must be presented in interfaces that facilitate human interaction: allowing employees, customers and partners to navigate and make sense of it,
- Fundamentally, time has a direct impact on the cost structure of an organization. If agents, for example, spend too much time solving issues, it has a direct impact on cost
- From an ROI perspective, it’s straightforward. Better access to consolidated, correlated, unstructured data can cut time spent in knowledge-driven activities in half. If 50 percent of a company’s call center time is spent on knowledge-driven activities and the company spends $100 million per year on the call center, at least $50 million of the budget is associated with people spending time trying to figure out answers to problems. Slashing that time in half saves the company $25 million per year.

Feb

2012

2012: The Year Analytics Means Business

"The real trend this year is not the technology. It’s about helping business people make better decisions, and actually change the way companies do business. Analytics has always been about transforming business, but the recent huge changes in analytic technology have created interesting new opportunities for business innovation."

timoelliott.com/...-analytics-means-business.html

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b bigdata businessmodel customerservice risk bottlenecks analytics bi innovation insights unstructureddatas

Analytics technology has been changing fast. On the back end, new technologies have come together to provide what Gartner calls “extreme data performance”. These include in-memory, column data stores, in-database calculations, massively parallel architectures, complex event processing, Big Data / NoSQL / Hadoop, and cloud architectures.
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- And on the front end, various technologies are coming together to provide unprecedented levels of context-based “actionable insights”, including self-service data discovery, advanced visualization including maps, mobile analytics, predictive analytics, collaborative decision-support. They help provide more action-oriented interfaces optimized for the context of the users, both inside and outside the organization.
- University researchers have pointed out that today’s management techniques are based on the limitations of information scarcity:
- with access to the finest granularities of information, management will be able to move freely from macro to micro levels and will be able to measure, plan and act accordingly. With increased resolution come more options to drill down, eliminate inefficiencies and cut costs
- New forms of data: ‘unstructured’ data such as text has long been difficult to effectively analyze and incorporate into mainstream corporate analytics. The new systems make it much easier for companies like Medtronic to access and analyze the large amount of complaints and feedback data they receive about their products, combine it with other data sources, and provide it to business users with dynamic interfaces:

Sep

2009

ignorer le 2.0, c’est comme ignorer l’iceberg sous la pointe… de votre entreprise | Analystik - blog

Rappelons que les données structurées ne représentent que 4 % du SAVOIR de l’entreprise et sont le fait des activités de l’entreprise elle-même. Ainsi, le SAVOIR en entreprise est difficilement localisable et identifiable sinon que dans la tête des gens et il ne se trouve surtout pas dans les entrepôts de données.

SAVOIR

4% données structurées

20% données non structurées

74% non documentées (contenues dans la « tête » des gens)

blog.analystik.ca/...-la-pointe-de-votre-entreprise

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knowledge knowledgemanagement unstructureddatas informallearning learning

May

2008

Gestion de l’Information : l’évolution des volumes et des types d’informations à gérer | BPM Bulletin

Selon IDC (et à peu près tout le monde d’ailleurs), les types et quantités d’information que nous allons devoir prendre en compte et gérer/stocker d’ici à 2010 sont répartis en 3 groupes principaux :

www.bpmbulletin.com/...des-types-informations-a-gerer

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information structureddatas unstructureddatas semistructureddatas ECM web2.0