Post has attachment
How to Use Big Data to Enhance Your Brand Storytelling

"By now, many businesses and organizations have seen the value behind big data."
. . .
"You see, big data by itself actually holds little value."
. . .
"To truly gain value and improve your brand, data needs to be used in storytelling."
. . .
"Without data, stories like the ones you want to tell provide little impact."
. . .
"Storytelling can effectively establish that emotional connection, while data within the story can help earn the trust of the reader.
Enhancing your brand storytelling with big data should also be focused on creating a dialogue."
. . . 
"Through better brand storytelling with big data, organizations will be able to not only inspire content that will be shared, but they’ll be considered some of the top thought leaders in their respective industries."

#Storytelling #BigData

Post has attachment
Take the Guesswork Out of Talent Decisions With Big Data

Excerpts from Dave Weisbeck, Chief Strategy Officer, Visier

"Supporting and educating managers to make decisions based on data solves only part of the problem in reducing cognitive bias. The first challenge is acquiring the employee data, which often is locked in HR management systems that were never designed for analysis. This is partially because of the way that systems that store employee data have evolved into multiple silos (each function, such as compensation, learning and development, recruiting, and performance management has its own set of transactional data that typically can’t be linked with other systems)."
. . . 
"For most companies, the employee data required for this type of analysis resides not only in the HR management system, but also in many other HR systems, such as recognition, payroll, performance management, and more. Performing this analysis using a standalone, embedded analytics solution (a capability delivered within transactional business applications, such as payroll administration systems) will tell only half the story. Many of these types of solutions cannot link recognition and compensation data, for example."
. . . 
"When a new leadership position opens up, it may be tempting to begin shopping around immediately for new talent outside of the organization. But the first step is to determine who from within the organization would best fill the role: According to a study at the University of Pennsylvania’s Wharton School, external hires not only get paid more, but also receive significantly lower marks in performance reviews during their first two years on the job."
. . . 
"In-memory analytics solutions can bring all of these data silos together in one place, enabling business users to address this type of complex and critical people management issue."
. . . 
"With recent advancements in big data technologies, organizations can tap into a unified workforce data ecosystem, uncovering exciting, objective and actionable insights."

#BigData   #HumanResources   #Analytics   #Managers #DecisionMaking   #MasterData  

Post has attachment
Without Big Insight, Big Data Is Useless

The best companies link business actions back to data to discover and test insights, before taking next actions.  +David Pidsley It's all about experimentation and iteration -- agility!

"The report, titled “Digital Insights are the New Currency of Business,” was written by Forrester analysts Ted Schadler and Brian Hopkins. It analyzed the behaviors of dozens of industry incumbents along with hundreds of startups to determine which organizations are taking the most advantage of big data’s potential, and what their secrets are."
. . . 
"The companies successfully putting these ideas into practice typically use small cross-functional teams that combine business domain expertise, data science skills, engineering expertise, and software development know-how to find, test, and implement insights.

"They also employ repeatable processes that integrate data science, collaboration, governance, and agile implementation workflows. Finally, successful companies build digital insights architectures based on existing big data management and business intelligence work."

#Managers   #BigData #Collaboration   #DecisionMaking  

Post has attachment
Salesforce to unleash Wave - The Analytics Cloud

For all of you who were wondering if Salesforce was going to be left out of the "big data boom", Marc Benioff, a Salesforce co-founder and the company’s chief executive, has been tweeting about Wave. Here's more details from NYTimes (excerpt):

Wave is intended to create sales, service and marketing analytics, either in packaged or custom forms, which can be read on desktop and mobile devices. It is meant to stress the data within Salesforce products, but it is also possible to import third-party information from companies like Microsoft, SAP and Informatica, as well as machine-generated data.
. . . 
Right now, Tableau is one of the few notable companies making it easier to visualize data. Given the millions of customers using Salesforce, in other words, it is the kind of thing that could attract independent software developers to build products on it.
. . . 
"It’s been quite a while since we announced a new market this big,” Mr. Dayon [Alex Dayon, the president of products at Salesforce] said. “Analytics is a $42 billion industry, and people need a new cloud-based platform for it.”

#BigData   #Sales   #Analytics   #Cloud   #DataVisualisation   #GrowIncome  

Posted by +Dan Durrant with +David Pidsley 

Cause Analytics is here to help you navigate through Business Intelligence, understand today's challenges and tomorrow's technologies.

www.CauseAnalytics.com

Post has shared content
New on the Anticipate Change Blog: Data Storytelling for Disruptors

"Disruptive innovations have become common in these 'postnormal' times. Organisations that seek to be disruptive are fusing big data analytics with storytelling to nurture better business cultures. Narratives and data stories encourage participation in innovation. We share our recent experience and insights into data storytelling and disruptive innovation."

#AnticipateChange   #BigData   #Storytelling   #DriveInnovation   #DisruptiveInnovation   #Analysts   #SelfService  

Cause Analytics is here to help you navigate through Business Intelligence, understand today's challenges and tomorrow's technologies.

Post has shared content
Deep Data: a more ethical and transparent form of Big Data?

Excerpts:
The real problem of big data is that we are increasingly outsourcing our capacity to sense and think to algorithms programmed into machines. While this seems very convenient and cool at first and offers access to services that many of us want, it also raises a question about who actually owns big data, about the rights of individuals and citizens to own their personal data and to exercise choices regarding its use.
. . . 
Deep data is used to make people and communities see themselves. Deep data functions like a mirror: it makes you see yourself--both as an individual and as a community. Over the past twenty years of my professional life I have been helping teams and organizations go through processes of profound innovation and transformative change across sectors and cultures. The one thing that I have learned from all these projects is that the key to transformative change is to make the system see itself. That's why deep data matters. It matters to the future of our institutions, our societies, and our planet.
. . .
But what happens today with big data often is the opposite: big data is used to manipulate our behavior, to bombard us with commercials that we never asked for. Surface big data is used to outsource human thinking to algorithms, to reduce our level of awareness inside the boundaries of habitual thought.  Deep data, if developed and cultivated in the right way, could help us to enhance the level of awareness and consciousness and to change the system by shifting the consciousness of stakeholders in that system from ego-system awareness (awareness of my own silo) to eco-system awareness (awareness of the whole).

#PositiveLocalImpact   #DriveInnovation   #Globalisation   #HumanResources   #BigData   #Transparency   #Wellbeing  
The journey from science 1.0 to 2.0 is a journey of bending the beam of scientific observation back onto the observing self--both individually and collectively. #nemetics This is a nemetical approach to deep sensing.

Post has attachment
The Storytelling Mandate of Big Data

Excerpt:
We collect data and use data effectively to enhance our experiences and tell stories, says Ramesh Jain, a UC Irvine professor and big data researcher. “But this requires understanding relationships among disparate data items. And that is where the importance of Big Data really lies,” Jain writes on his blog.

Data-powered storytelling can be broken down into two categories: micro stories and macro stories. In their 2013 piece on the topic, Jain and Microsoft researcher Malcolm Stanley theorize that micro stories can be as simple as clicking the “like” button on Facebook, posting a picture on Instagram, or posting a video on YouTube. “Micro stories reflect a person’s experience with just one small event–really a moment in the event,” they write.

Mega stories can be generated by combining micro stories into a bigger narrative. “Mega stories tell a story that could only be created by considering a large volume of relevant events in big data,” Jain and Stanley write. “All these events must be selected and aggregated based on the goal of the storyteller.”

#Social   #Storytelling   #BigData  

Featured in Data Storytelling for Disruptors
http://blog.causeanalytics.com/2014/10/data-storytelling-for-disruptors.html 

Posted by +Dan Durrant 

Cause Analytics is here to help you navigate through Business Intelligence, understand today's challenges and tomorrow's technologies.

www.CauseAnalytics.com

Post has attachment
Defining #BigData

Excerpt:
May 2012 danah boyd and Kate Crawford publish “Critical Questions for Big Data” in Information, Communications, and Society. They define big data as “a cultural, technological, and scholarly phenomenon that rests on the interplay of:  (1) Technology: maximizing computation power and algorithmic accuracy to gather, analyze, link, and compare large data sets. (2) Analysis: drawing on large data sets to identify patterns in order to make economic, social, technical, and legal claims. (3) Mythology: the widespread belief that large data sets offer a higher form of intelligence and knowledge that can generate insights that were previously impossible, with the aura of truth, objectivity, and accuracy.”
http://www.tandfonline.com/doi/abs/10.1080/1369118X.2012.678878#preview

Posted by +Dan Durrant 

Cause Analytics is here to help you navigate through Business Intelligence, understand today's challenges and tomorrow's technologies.

www.CauseAnalytics.com

Post has attachment
Job hunting the big data way

Recruiting firms are looking beyond the CV to how their applicants write sentences. Through text analytics they are making a better fit between company cultures and applicant personalities. They can also predict how long an employee is likely to stay with a job before moving on!  / #HumanResources   #TextAnalytics   #DataMining  

Citation: Nearly half of new recruits turn out to be duds within 18 months, according to one study, while two-thirds of hiring managers admit they've often chosen the wrong people. / #TodaysChallenges  
. . . 
"[I]nnovative personality tests are supplements to, not replacements for, big data analytics, many recruiters believe. / #BigData  
. . . 
Analysis of historic data from tens of millions of job applicants, successful or otherwise, is helping employers predict which new candidates are likely to be the best based on a comparison with the career paths, personalities and qualifications of previously successful employees. / #Analysts  

"Now we're able to use our own data to track how long candidates stay in a role before seeking new opportunities," says Geoff Smith, managing director of recruitment consultancy Experis. / #PredictiveAnalytics  
. . . 
San Francisco-based company Evolv found that long-term unemployed people perform no worse than those who have had more regular work.

It also found that prior work experience and even education are not necessarily indicators of good performance in some roles. / #Education  
. . . 
Our blogs, websites, Twitter rants and LinkedIn profiles reveal as much - if not more - about us than a semi-fictionalised CV.

"The days of keeping your personal and professional profiles separate are over," warns Experis's Geoff Smith.

"Social media is a great platform for individuals to demonstrate their expertise, experience and enthusiasm for their field of specialism. However, candidates need to be conscious of the online reputation they are building and the data trail they are leaving behind." / #Social  

Posted by +Dan Durrant w/ +David Pidsley 

Cause Analytics is here to help you navigate through Business Intelligence, understand today's challenges and tomorrow's technologies.

www.CauseAnalytics.com

Post has attachment
Taking Big Data-driven optimization to the highest level

Citation: Taking Big Data-driven optimization to the highest level is how companies make the most of their breakage-prone widgets, just as it is the secret to any organization who wishes to establish innovation as a core competency.
. . . 
[A]utomated feedback has been a staple in the equipment maintenance world for a while now. However, there are many other business areas that have yet to take a page out of the broken whatzit playbook. Does your organization, say, optimize its salaries based upon business outcomes — in real-time? Do your security policies balance the cost of security with the corresponding risk of loss, again in real-time? In general, how many of the processes in your organization are subject to continual optimization based upon automated, data-driven improvements?

#RealTime   #BigData   #DriveInnovation   #Automation  

Featured in Data Storytelling for Disruptors
http://blog.causeanalytics.com/2014/10/data-storytelling-for-disruptors.html 

Posted by +Dan Durrant 

Cause Analytics is here to help you navigate through Business Intelligence, understand today's challenges and tomorrow's technologies.

www.CauseAnalytics.com
Wait while more posts are being loaded