“This paper firstly provides a general introduction in the most important aspects and ideas of Visual
Analytics. This multidisciplinary field focuses on the analytical reasoning of typically large and complex
(often heterogeneous) data sets and combines techniques from interactive visualizations with computational
analysis methods. Hereby, intuitive and efficient user interactions are a fundamental component which has
to be efficiently supported by any Visual Analytics system” (from the abstract, Kerren and Schreiberm 2012)
Major Trends in Information and Communication Technologies
“Networked computers are ubiquitous. They come in different shapes and forms (desktop, laptop, mobile phones, tablets, ebook readers, etc.) or are embedded in devices, objects, and systems such as, for example, cameras, washing machines, televisions, cars, heating systems, robots, traffic control systems. Software is usually available in multiple human languages” (Rehm and Uszkoreit, 2013, from the abstract).
http://link.springer.com/chapter/10.1007/978-3-642-36349-8_3
Social business goals and metrics (Altimeter Group, 2013)
The evolution of social business [a new report by Altimeter Group]
http://www.altimetergroup.com/research/reports/evolution-social-business
[Altimeter Group, image and abstract] “Companies are not created equal. Altimeter Group found that companies go through six distinct stages of social business maturity, each with unique risks and opportunities.Based on a series of interviews with organizations that are investing in social media strategies at varying levels, we learned that notable differences exist between companies implementing a social media strategy and those that are building a social business. A social media strategy lays out the channels, platforms, and tactics to support publishing, listening, and engagement. A social business strategy is the integration of social technologies and processes into business values, processes, and practices to build relationships and spark conversations inside and outside the organization, creating value and optimizing impact for customers and the business alike” (from the executive summary, Altimeter Group, 2013)
[forthcoming] social machines: how to develop connected products
[From the abstract] Your machines know things about you, and they have some things to say.
Our online interactions have formed the backbone of companies like Facebook and Twitter and have redefined social interaction. But what if machines like cars, bikes, health monitors, appliances, ATMs, and kiosks could all become members of your social network, and give you important information about what’s happening in your car, your home, and your body? Businesses like Ford, Proctor and Gamble, and dozens of startups are now using social machines to reach new markets, improve brand and market awareness, and increase revenues. Social Machines teaches the benefits and the process of connecting machines to a social network.
* Articulates how “social” is a compelling new business model for the Internet of Things
* Discusses current technologies, such as smart phones and tablets, and how they can/will enable Social Machines
* Teaches how to learn from existing implementations and customize them for their own use
Who says only humans can be social? The next stage of interaction between people and their environment is upon us.
Relationship investment: buyer and seller
Image from Egan, “Relationship Marketing” (p.53, source: adapted from Dwyer et al., 1987, p. 14)
Dwyer et al. (1987, p. 14) suggest that the type of relationship that develops between a supplier and a customer is determined by the different amounts of motivational investment that buyers and sellers are prepared to commit to the relationship. They hypothesise that there are four types of active relationships in addition to ‘no exchange’ (Egan, p. 53)
Social Data in the IAB perspective
Social Business Intelligence beyond reporting and charting
“A data-driven company needs to move beyond reports and dashboards and into actionable granular system alerts that do not require interpretation and are small enough in scope to complete today. Think of your applications and systems as really smart people to follow, people who can post/tweet conditions that are based on real-time analytics, complex and deep dives into data that require multiple reports and complex interpretation. The simple statement “At the current rate of movement, three stores are out of stock of XYZ in one week, and the distribution center has no stock” can be posted and followed by any number of people: sales, manufacturing, management, warehousing, etc. That is actionable data that can be discussed, commented on, liked, shared, forwarded, and resolved within that E2.0 tool” (by Morgan, The Collaborative Organization, 2012, p. 98)
Toward an integrated “business networks sentiment analysis” #bigdata
In a social business environment, it’s relevant to measure not just the customer’s sentiment, but also the “sentiment” of all the “value exchangers” in the business networks and ecosystems. Correctly Sandy Carter (in her interesting “Get Bold”, 2012) points out the relevance of measuring both the sentiment of “social customers” and the “social employees” (as well as the sentiment of all the actors involved in the business ecosystem). And of course, in the social business perspective, not only the quantification of “sentiment”, but also the analytics of a wide range of additional social business measures.








